ChatGPT answers, unedited

For a marketing agency managing client blog content, I’d look for tools that do more than “mention tracking.” You want to know:

• Which AI engines cite your client’s URLs
• Which prompts trigger those citations
• Which competitors get cited instead
• Which blog posts are gaining/losing influence
• Whether changes to content improve citation frequency over time

AI citation monitoring is still an emerging category, but several platforms are becoming useful for agency workflows. HubSpot Blog AuthorityStack.ai

Best AI citation / attribution monitoring tools for agencies

My shortlist by agency type

If you manage 5–50 clients

I’d prioritize:

1. Otterly.AI — good for tracking a defined list of buyer prompts and seeing cited URLs.
2. Semrush — best if you already sell SEO/content retainers and need client dashboards.
3. HubSpot AEO — attractive if your agency is already HubSpot-centric.

If you are building an “AI visibility” service line

I’d look at:

1. Profound
2. Xfunnel
3. Meltwater GenAI capabilities

These are closer to a standalone GEO/AEO reporting product. AuthorityTech HubSpot Blog

Metrics I would include in client reports

Avoid reporting only “AI mentions.” A useful agency dashboard should track:

• Citation rate

% of tracked prompts where the client’s domain appears as a cited source

• Citation share

How often the client is cited compared with competitors

• Top cited pages

Which blog URLs AI engines rely on most

• Citation gaps

Queries where competitors are cited but the client is absent

• Engine breakdown

Separate performance across:

• ChatGPT
• Perplexity
• Gemini / Google AI experiences
• Claude
• Copilot
• Content actions

Example:
“This pricing comparison article is cited for 18% of tracked prompts; update statistics and add first-party examples.”

AI citation measurement is different from traditional SEO because a page can influence an answer without generating a click, so citation visibility and referral traffic should be tracked separately. HubSpot Blog

A practical agency stack

For many agencies, I’d combine:

• Semrush → traditional SEO + competitor research
• Otterly.AI or similar GEO tracker → AI citation monitoring
• GA4 + AI referral tracking → actual visits from AI platforms
• Looker Studio → client-facing dashboards

The biggest mistake agencies make is selling “AI rankings.” Generative engines don’t have stable rankings in the same way search engines do; the more defensible service is prompt monitoring + citation attribution + content optimization recommendations. llmmonitor.io rankscope.ai

If you’re packaging this as an agency offering, I’d also evaluate tools based on white-label reports, multi-client workspaces, API access, and exportability, not just citation accuracy.

If your agency’s core requirement is “which of our clients’ blog URLs are being cited or referenced inside ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Claude, etc., and how does that change over time?”, I’d shortlist these:

My practical recommendation for an agency

I'd start with Otterly.AI and Peec AI.

Otterly looks particularly interesting if your agency needs to turn this into a repeatable client service: track a defined set of prompts, see the actual cited URLs, monitor competitors, and eventually feed the data into your own reporting/dashboard through an API. Otterly says its API exposes brand reports, prompts, citations, recommendations and GEO audits. Otterly

Peec is worth testing alongside it if your emphasis is more on marketing analytics and client reporting than SEO workflow. Current comparisons describe it as particularly suited to marketing teams and agencies. AnswerManiac Arbling

For a larger agency selling sophisticated GEO/AEO programs to enterprise clients, I'd put Profound into the evaluation. Its differentiator is depth rather than simply being a lightweight rank tracker. SEO Counselors

One important distinction

I'd specifically avoid buying a tool based primarily on a generic “AI visibility score.”

For your use case, you want the underlying evidence:

• Prompt: What question did you ask the AI engine?
• Engine: ChatGPT, Perplexity, Gemini, Claude, Google AI, etc.
• Answer: What did the engine actually say?
• Citation: Which URL(s) did it cite?
• Your URL: Was your actual blog article cited?
• Position: Where in the cited sources did your article appear?
• Competitors: Which competing URLs were cited instead?
• Frequency: How often is the URL cited across repeated runs?
• Historical change: Did citation frequency increase after you changed/published the article?
• Client reporting: Can you export/API the evidence rather than just a proprietary score?

That's important because being mentioned isn't the same thing as being cited. A brand can be named in an AI answer while a competitor's website supplies the actual source. Current industry comparisons explicitly distinguish mentions, citations, share of voice and prompt coverage. Austin Heaton

For a marketing agency, I'd structure the monitoring around URLs

Rather than asking only:

“Is Client X visible in ChatGPT?”

I'd want your system to answer:

“Of the 250 articles Client X has published, which URLs were cited by AI engines this month, for which buyer questions, by which engines, and how did that change versus last month?”

That lets you turn the data into an actual GEO content-retainer service:

Content published → AI prompts monitored → URLs cited → competing sources identified → content recommendations → changes implemented → citation lift measured.

If you tell me roughly how many clients, domains, and prompts you need to monitor per month (e.g. 20 clients × 100 prompts), I can narrow this down to the 2–3 platforms I'd actually demo, including current pricing and agency/multi-client limitations.

If your agency’s specific goal is “Which of our clients’ blog articles are being cited or used as sources inside ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, etc.?”, I’d evaluate these a little differently from ordinary “AI visibility” software.

My shortlist

Recent 2026 comparisons consistently identify Profound, Peec, Otterly, Scrunch, Ahrefs and Semrush as the major options in this category, although capabilities and pricing are changing quickly. Baarely UX Continuum

For your use case, I'd look hardest at Peec and Profound

Peec AI is particularly interesting for an agency because it separates brand mentions from source citations, which is important for what you're asking. You don't just want to know “Client X appeared in 27% of answers.” You want to know:

“The client's article /blog/best-crm-for-small-business/ was cited in 14 answers, across these prompts and these engines.”

That distinction is critical for demonstrating the value of your content program. Recent comparisons specifically call out Peec's citation/mention separation and agency-oriented reporting capabilities. StayFound

Profound is the one I'd investigate if your clients are larger and you're willing to pay for significantly deeper data. Its higher tiers cover a broad range of answer engines and provide substantially more enterprise-oriented analytics. Baarely

One important distinction

There are actually three different metrics that vendors sometimes lump together as “AI visibility”:

1. Brand mention — “ChatGPT mentioned Acme.”
2. Citation/source — “ChatGPT cited Acme's specific blog URL.”
3. AI-attributed traffic — “An AI engine actually sent a visitor to that URL.”

For a content marketing agency, #2 is probably your most interesting KPI, while #3 is the eventual business KPI.

I'd therefore ask every vendor to demonstrate this exact workflow before buying:

Give the system 100–300 real buyer questions → run them against ChatGPT/Perplexity/Gemini/Google AI → show every citation → map citations back to individual URLs on our clients' domains → show changes over time → export that data per client.

If a product primarily gives you mention rate / share of voice, but can't reliably expose the specific cited URL, I'd consider that a different product from what you're looking for.

What I'd want in an agency stack

For each client, ideally you can produce something like:

• 1,000 tracked buyer prompts
• AI visibility by engine
• Citation rate
• Citations by URL
• New/lost citations month-over-month
• Which competitors' URLs are being cited instead
• Citation rate by content cluster
• Questions where your client has zero citations
• Questions where the client is mentioned but another website supplies the citation
• AI crawler activity on the client's site
• Historical snapshots of actual AI answers
• Client-specific dashboards
• White-label PDF/Looker Studio/API reporting

That last-but-one point matters: an answer saying your client is an authority is not the same as an AI engine actually citing your client's content.

There is also growing evidence that editorial/third-party sources are a major component of AI references, so I'd avoid restricting your monitoring to your own domain. vogue.com

My practical recommendation

If I were building this into a marketing-agency service, I'd demo Peec AI and Profound first, then use Otterly as the lower-cost benchmark.

I'd specifically compare them on URL-level citation extraction, not their headline “AI visibility score.”

If you tell me roughly how many clients you manage (e.g. 10, 50, 200), monthly budget, and which engines matter most, I can do a much more useful agency-specific comparison of Peec vs Profound vs Otterly vs Ahrefs/Semrush, including current pricing, API/export capabilities, white-label reporting, and exactly how well each handles blog-URL citation tracking. Baarely bloomiro.com

My practical recommendation

If I were building this into a marketing-agency service, I'd demo Peec AI and Profound first, then use Otterly as the lower-cost benchmark.

I'd specifically compare them on URL-level citation extraction, not their headline “AI visibility score.”

If your goal is specifically monitoring which of your clients’ blog URLs are cited or used as sources inside ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, etc., I’d shortlist Profound, OtterlyAI, and Scrunch.

My ranking for a marketing agency

A recent 2026 comparison similarly puts Profound at the top overall, OtterlyAI as particularly strong for marketing teams/agencies, and Scrunch as a strong citation/AI-crawler platform. TechnologyAdvice

🥇 My pick: Profound

tryprofound.com

For an agency, Profound is the one I'd demo first.

Its citation product goes beyond simply asking "did ChatGPT mention my client?" You can see which URLs are cited, citation frequency, which answer engines cite them, citation share versus competitors, and what types of sources are winning citations. It also categorizes sources into things such as owned content, competitors, earned media, PR and social. Profound

The agency functionality is particularly relevant: Profound explicitly supports centralized management of multiple client brands and positions the product for agencies. Profound

It also monitors the consumer-facing answer-engine experience rather than relying exclusively on API-generated responses, which is an important distinction when you're trying to report what a real user is likely to see. Profound

I'd choose Profound if your agency wants to sell "AI search visibility/AEO" as a substantial recurring service.

🥈 Best value: OtterlyAI

otterly.ai

Otterly is probably the one I'd test first if you're managing lots of SMB/mid-market clients and need the economics to work.

Its particularly relevant feature is Website Citation Tracking: it identifies the URLs AI engines cite, how frequently individual pages are cited, and which competitor pages are being cited instead. Otterly

It also provides:

• Share of voice
• Competitor benchmarking
• Citation tracking
• Prompt-level monitoring
• Gap analysis
• Sentiment
• Scheduled client reports
• PDF/CSV exports
• Looker Studio integration Otterly

That last part matters for an agency. You can potentially incorporate AI visibility into the same reporting infrastructure you're already using for SEO/GA4/etc.

Otterly currently tracks the major consumer AI search surfaces including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude. Otterly AI

If Profound feels too enterprise/expensive for your client mix, I'd go Otterly.

🥉 Scrunch

scrunchai.com

Scrunch is especially interesting if you want citation intelligence plus visibility into AI crawlers and AI referral traffic.

Its citation interface works at both the domain and individual URL level, so you can identify the actual articles/pages appearing as sources for monitored prompts. Scrunch Help Center

It also has unusually broad platform coverage: ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok and Meta AI. Scrunch Help Center

I'd put it between Profound and Otterly for an agency that wants a fairly sophisticated AEO operation.

One important distinction

I wouldn't evaluate these tools primarily on "how many times is my brand mentioned?"

For a content/SEO agency, I'd build the measurement system around:

Prompt → AI answer → citation → cited URL → client content → competitor citation → change over time

For example:

Prompt: "best CRM for a 50-person SaaS company"

Then you want to know:

• Does the client appear?
• Is the client's blog cited?
• Which exact article is cited?
• Is it cited by ChatGPT, Perplexity, Google AI Overviews, etc.?
• Where does the client's article appear among the sources?
• Which competitor articles are cited instead?
• Which prompts produce citations for the client?
• Which high-value prompts produce no citation?
• Did updating an article increase citation frequency?
• Are third-party sites citing the client's research/content?
• Is AI-generated referral traffic actually reaching that URL?

That is much more actionable than an aggregate "AI visibility score."

The agency stack I'd seriously consider

Profound + your existing SEO/content stack if you're selling premium AEO strategy.

OtterlyAI + Looker Studio + your existing SEO stack if you're managing a large number of clients and want a scalable reporting operation.

Scrunch if AI crawler/agent traffic and broader AI ecosystem monitoring are strategically important.

One other consideration: citation monitoring isn't the same thing as attribution. If by "attributions" you mean actual referral traffic/conversions attributable to AI answers, rather than simply the AI citing a URL, I'd weight the platforms differently. Profound and Scrunch are particularly interesting there because they go beyond simple mention tracking. Profound, for example, combines visibility/citation data with Agent Analytics and AI traffic monitoring. Profound

If you tell me roughly how many client websites you manage (e.g. 10, 50, 200+) and your monthly software budget, I can narrow this down to the best agency-specific stack and likely cost structure.

One important distinction

I wouldn't evaluate these tools primarily on "how many times is my brand mentioned?"

For a content/SEO agency, I'd build the measurement system around:

That last part matters for an agency. You can potentially incorporate AI visibility into the same reporting infrastructure you're already using for SEO/GA4/etc.

For a marketing agency monitoring client blog content inside generative answer engines, I’d shortlist these:

My pick: Profound

If you're managing multiple clients and need something you can turn into a repeatable agency service, I'd start with Profound. It is particularly strong for monitoring visibility across AI engines, prompt-level analysis, competitive benchmarking, and reporting. Independent 2026 comparisons consistently put it toward the top for enterprise/multi-brand AI visibility measurement. DataDab Profound

The important distinction is that you don't just want to know "Did the AI mention our client?" You want to capture:

• Which client/domain/page was cited
• Which prompts produced the citation
• Which AI engine produced it
• Which competitors were cited instead
• Whether the AI mentioned the brand but failed to cite the content
• Which third-party sources are influencing the answer
• Citation/share-of-voice trends over time
• Which blog URLs are gaining or losing citation visibility

That distinction matters because a brand mention and an actual source citation are not the same thing. Austin Heaton

Peec AI is probably my second choice

If Profound is overkill or too expensive, I'd test Peec AI. It's more focused on AI-search analytics and is particularly attractive if your core requirement is "show me what gets cited, where, and how we're doing versus competitors." DataDab Conbersa

Otterly if you want to start lean

For an agency that wants to experiment with a relatively inexpensive AI-visibility layer across many accounts, Otterly.AI is worth evaluating. Current comparisons put it among the lower-cost serious options, while still covering major answer engines and citation/mention tracking. DataDab ToolChase

Writesonic if your agency wants the tool to tell writers what to do

This is the interesting alternative. Writesonic isn't just monitoring: its GEO functionality attempts to connect citation tracking → diagnosis → content changes. It claims page-level citation tracing and citation-gap analysis, including identifying competitor URLs that are being cited instead of yours. Writesonic

That's attractive if your agency's workflow is:

monitor → identify citation gap → update blog → measure whether citations improve.

What I'd actually test

I'd run a 2-week bake-off with 3 tools rather than choosing based on feature lists:

1. Profound — benchmark for depth/reporting.
2. Peec AI — benchmark for citation analytics/value.
3. Writesonic — benchmark for turning citation data into content actions.

Give each the same 50–100 commercial/informational prompts for 2–3 representative clients and compare:

• Citation accuracy
• URL-level attribution
• Prompt coverage
• Engine coverage
• Competitor citation data
• Historical tracking
• Export/API capabilities
• Multi-client/workspace management
• White-label reporting
• Ability to identify why a competitor's article gets cited instead
• Whether the underlying AI answer/source evidence is inspectable

That last point is especially important. A polished "AI Visibility Score = 63" isn't nearly as useful to an agency as being able to show a client:

For 17 of your target questions, ChatGPT cited competitor.com/article-x while ignoring your article-y.

Then your agency has a concrete deliverable and a concrete optimization workflow.

If you tell me roughly how many client sites you manage (e.g. 10, 50, 200+) and whether you need white-label client reporting, I can narrow this to the best 2–3 options and compare their current agency pricing/features.

monitor → identify citation gap → update blog → measure whether citations improve.

What I'd actually test

I'd run a 2-week bake-off with 3 tools rather than choosing based on feature lists:

If your main goal is monitoring which of your clients’ blog content gets cited/attributed inside ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Claude, etc., I’d shortlist Profound, Scrunch, and OtterlyAI, with Profound as my overall pick for a serious marketing agency.

The category has matured considerably in 2026: these platforms now go beyond simple “brand mentioned/not mentioned” tracking and can identify which URLs/sources are being cited, competitors appearing instead, prompt-level visibility, and trends over time. TechnologyAdvice Cognizo

My ranking for an agency

1. Profound — my first choice

tryprofound.com

I'd choose Profound if you're building AEO/GEO reporting as a meaningful agency service rather than simply experimenting with AI visibility.

Its big advantage is the depth of the data. It is designed around monitoring AI answers at scale, including citations, competitive visibility, prompt demand, and ultimately connecting AI visibility to traffic/conversion activity. Its agency offering includes client workspaces and pitch-oriented functionality. Profound

Particularly compelling for your use case: you can answer questions like:

“Which of Client X's 300 blog posts are actually being cited by AI engines, for which questions, and which competitors are being cited instead?”

That's substantially more useful than simply reporting “Client X has a 27% AI visibility score.”

Downside: it can be overkill—and expensive—for an agency with lots of small clients. TechnologyAdvice

2. Scrunch — best if attribution/citations are the core problem

scrunch.com

I'd look very seriously at Scrunch if your phrase “citations and attributions of our blog content” is deliberate.

Scrunch specifically exposes what gets cited, alongside AI visibility, competitors, trends, and AI crawler activity. Its platform also monitors bots such as GPTBot, ClaudeBot and PerplexityBot, which gives you an additional layer that most basic visibility trackers don't provide. Scrunch TechnologyAdvice

That's valuable because there are really two different questions:

1. Is an AI engine citing our article?
2. Are AI crawlers actually accessing our article?

Scrunch gets closer to connecting those two.

I'd favor it over Profound if your agency has a particularly strong technical SEO/GEO practice and wants to understand the relationship between crawling, content and citations.

3. OtterlyAI — best value for a growing agency

otterly.ai

If you're managing dozens of SMB/mid-market accounts and need something that your strategists can deploy quickly, OtterlyAI is probably the pragmatic choice.

It tracks ChatGPT, Perplexity, Google AI Overviews, Copilot and additional engines depending on the plan, and combines visibility monitoring with citation tracking, prompt research, content auditing and GEO recommendations. TechnologyAdvice

The published pricing is dramatically more approachable than enterprise-oriented platforms, starting around $29/month, although agency-scale requirements can push you substantially higher. TechnologyAdvice

I'd pick Otterly if your requirement is:

“Give every account manager a dashboard showing where our client's content is appearing in AI answers.”

I'd pick Profound if your requirement is:

“Build an enterprise-grade AEO measurement and consulting product around this data.”

One important distinction: citation monitoring vs. brand monitoring

This is the thing I'd make a hard requirement in your RFP.

Don't buy a platform merely because it says it tracks "AI visibility."

You want the underlying citation/source dataset.

For every monitored prompt, ideally you should be able to retrieve something like:

That lets your agency move from AI visibility reporting to actual content intelligence.

You can then calculate things like:

• % of blog URLs receiving AI citations
• citations per 100 articles
• citations by AI engine
• citation share vs. competitors
• most-cited content clusters
• prompts generating citations
• pages losing citations month-over-month
• pages receiving citations despite having low traditional rankings
• domains that repeatedly co-occur with your clients
• AI referral traffic from cited pages
• citation → visit → conversion relationships

That's the dataset I'd build your agency's GEO reporting around.

What I'd actually buy

For a marketing agency, my shortlist would be:

If you have 50+ clients / enterprise clients:
→ Profound

If you're especially interested in the technical relationship between crawling + citations:
→ Scrunch

If you have lots of SMB/mid-market clients and need good economics:
→ OtterlyAI

If you already run a large Semrush operation:
→ Evaluate Semrush AI Visibility before adding another platform. The advantage is consolidating conventional SEO and AI visibility data rather than creating another reporting silo. ToolChase Aibro

If pure citation analytics is the priority:
→ Also put Peec AI into the trial. Current comparisons specifically highlight it for GEO analytics/citation tracking. Bloomiro ToolChase

My recommendation for your specific use case

I'd run a 2-week bake-off between Profound, Scrunch and Otterly using the same 20–50 prompts and 10–20 URLs from 2–3 real clients.

Don't compare their headline “visibility score.” Instead compare:

1. How accurately they identify your actual blog URLs as citations
2. Whether they distinguish citation from mere brand mention
3. Citation freshness/frequency
4. Engine coverage
5. Historical data
6. API/export availability
7. Multi-client workspaces
8. White-label reporting
9. Ability to discover new prompts
10. Whether you can get the raw citation data out of the platform

That last one is particularly important for an agency. You don't want your GEO reporting methodology trapped inside somebody else's dashboard.

If you tell me roughly how many clients you manage (e.g. 10, 50, 200+) and whether you want white-label client reporting, I can narrow this to the best 2–3 platforms and compare their current pricing, API, agency features, citation data, and reporting capabilities.

If you have lots of SMB/mid-market clients and need good economics:
→ OtterlyAI

If you already run a large Semrush operation:
→ Evaluate Semrush AI Visibility before adding another platform. The advantage is consolidating conventional SEO and AI visibility data rather than creating another reporting silo. toolchase.com aibro.cc

If pure citation analytics is the priority:
→ Also put Peec AI into the trial. Current comparisons specifically highlight it for GEO analytics/citation tracking.

My recommendation for your specific use case

“Build an enterprise-grade AEO measurement and consulting product around this data.”

One important distinction: citation monitoring vs. brand monitoring

This is the thing I'd make a hard requirement in your RFP.

Don't buy a platform merely because it says it tracks "AI visibility."

You want the underlying citation/source dataset.

For every monitored prompt, ideally you should be able to retrieve something like:

That lets your agency move from AI visibility reporting to actual content intelligence.

You can then calculate things like:

• % of blog URLs receiving AI citations
• citations per 100 articles
• citations by AI engine
• citation share vs. competitors
• most-cited content clusters
• prompts generating citations
• pages losing citations month-over-month
• pages receiving citations despite having low traditional rankings
• domains that repeatedly co-occur with your clients
• AI referral traffic from cited pages
• citation → visit → conversion relationships

That's the dataset I'd build your agency's GEO reporting around.

What I'd actually buy

For a marketing agency, my shortlist would be:

If you have 50+ clients / enterprise clients:
→ Profound

If you're especially interested in the technical relationship between crawling + citations:
→ Scrunch

If you have lots of SMB/mid-market clients and need good economics:
→ OtterlyAI

If you already run a large Semrush operation:
→ Evaluate Semrush AI Visibility before adding another platform. The advantage is consolidating conventional SEO and AI visibility data rather than creating another reporting silo.

For a marketing agency monitoring its clients’ blog content inside generative answers, I’d shortlist Peec AI, Profound, OtterlyAI, Ahrefs Brand Radar, and Scrunch. The important distinction is that you want to track citations to specific URLs, not merely whether a brand is mentioned. Current tools increasingly separate mentions, citations, share of voice, prompts, and competitor sources. Analytics Insight Austin Heaton

My ranking for an agency

1. Peec AI — my first choice

For your use case, Peec AI is probably where I'd start.

It is specifically oriented around AI visibility/GEO rather than bolting AI tracking onto traditional SEO. Its strength is monitoring the questions that matter, seeing which brands/domains are cited, and understanding the competitive citation landscape. Current comparisons specifically highlight Peec's citation-level insights and positioning for marketing teams. Analytics Insight ToolChase

For an agency, I'd want to use it like this:

Client → 100–500 strategically chosen buyer questions → track AI responses → identify cited URLs → determine which client articles are earning citations → identify competitor articles being cited instead.

That gets much closer to "is our content actually becoming a source for AI?" than a generic AI visibility score.

2. Profound — best if you're building a serious AI-search reporting operation

Profound is the one I'd investigate if you're managing larger clients, many brands, or substantial prompt volumes.

Its platform goes beyond basic mention monitoring into source citations, sentiment, prompt volumes, agent/AI traffic and broader AI visibility analytics. It is consistently positioned toward enterprise-level monitoring. TechnologyAdvice AnswerManiac

The advantage for an agency is that you can potentially turn the data into a much more sophisticated recurring deliverable:

• AI visibility
• Citation share
• Competitor citation share
• Which client URLs get cited
• Which third-party sites influence answers
• Topics where competitors dominate
• Changes over time
• Opportunities for new/updated content

I'd choose Profound over Peec if reporting depth and scale matter more than simplicity/cost.

3. OtterlyAI — best value

OtterlyAI is attractive if you want to roll this out across lots of smaller clients without turning AI visibility monitoring into a huge software expense.

Current comparisons put it at the lower-cost end of serious AI visibility tracking and specifically call it a strong fit for marketing teams/agencies. TechnologyAdvice ToolChase

I'd pick it if your agency needs:

• Lots of client accounts
• Straightforward prompt monitoring
• Citation/mention tracking
• Competitive monitoring
• GEO reporting
• A relatively low barrier to getting started

4. Ahrefs Brand Radar — excellent if you're already an Ahrefs shop

If your agency already pays for Ahrefs, Brand Radar deserves serious consideration before adding another platform.

It tracks AI visibility across ChatGPT, Gemini, Perplexity, Copilot, Grok and Google AI Overviews, including mentions/citations and competitor comparisons. Ahrefs also lets you use custom prompts. Ahrefs

The particularly useful bit for your question is that Ahrefs can show which domains and pages are cited alongside a brand, rather than simply saying "your brand appeared." Ahrefs

And its Google AI Mode methodology actually stores cited URLs, which makes it useful for URL-level analysis. Ahrefs

If you're already deeply invested in Ahrefs, I'd trial Brand Radar before buying a separate platform.

5. Scrunch — worth testing for your specific attribution use case

Scrunch is particularly interesting because its positioning emphasizes citation analysis, AI traffic and AI crawler intelligence, rather than only the traditional "did the model mention us?" metric. Current comparisons rank it highly for citation and crawler intelligence. TechnologyAdvice

That could be valuable if your agency wants to connect:

content published → AI crawler activity → AI citation → referral/AI traffic

rather than treating AI visibility as an isolated KPI.

What I'd actually measure

This is the important part. I wouldn't buy a tool merely because it says "AI visibility."

For every client, I'd build a dashboard around these metrics:

1. Citation rate — percentage of tracked AI answers that cite the client's domain.
2. URL citation rate — which specific articles are being cited.
3. Citation share — client's citations vs. competitors' citations.
4. Citation position — whether the client is a primary/recommended source or buried among references.
5. Prompt coverage — percentage of commercially relevant questions where the client appears.
6. Mention → citation conversion — how often the brand is mentioned but its website isn't cited.
7. Competitor source gap — articles/sites competitors are getting cited from that the client isn't.
8. Engine-level performance — ChatGPT vs. Perplexity vs. Gemini vs. Google AI Overviews/AI Mode, etc.
9. Content-level performance — which articles are earning citations and which aren't.
10. Citation persistence — whether a URL keeps getting cited over multiple measurement periods.

That distinction between mention and citation is crucial: a model can talk about your client without using the client's content as a source. Austin Heaton Ahrefs

The agency stack I'd choose

If I were setting this up for an agency today:

Best overall: Peec AI + your existing SEO/content stack

Enterprise: Profound

High-volume / budget-conscious: OtterlyAI

Already an Ahrefs agency: Ahrefs Brand Radar

Most interested in the content → crawler → citation relationship: Scrunch

And I would not make "AI rank" the primary KPI. Generative answers are probabilistic and personalized, so traditional position tracking doesn't translate cleanly. A better agency KPI is share of citations across a standardized set of commercially important prompts. Ahrefs itself explicitly recommends thinking in terms of topic-level visibility/share of voice rather than conventional rank positions. Ahrefs

If you tell me roughly how many clients/domains you manage and whether you're primarily B2B, SaaS, ecommerce, or local SEO, I can narrow this to a 2–3 tool shortlist with current pricing, client/reporting capabilities, API access, and exactly which one I'd buy for the agency.

That distinction between mention and citation is crucial: a model can talk about your client without using the client's content as a source.

The agency stack I'd choose

If I were setting this up for an agency today:

If your agency’s specific goal is “which of our clients’ blog URLs are being cited/attributed inside ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, etc., and how does that compare with competitors?”, I’d shortlist these:

1. peec.ai — my pick for an agency

This is probably where I'd start for a marketing agency.

Peec explicitly targets agencies and supports multiple brands from one account, automated reporting, white-label dashboards, competitor analysis, and tracking of both mentions and citations. Peec AI

The important distinction is that Peec separates:

• Brand visibility — AI explicitly mentions your client.
• Source visibility — AI actually uses/cites your client's website.
• URL-level retrievals — which specific article/page was used.
• Citation rate — how often that source receives explicit attribution.

That distinction is very useful when you're trying to prove that your content strategy is influencing AI answers rather than simply generating brand mentions. Peec.ai Docs Peec.ai Docs

Best use case: “We manage 20–100 client websites and need to show each client which content is earning AI citations.”

2. tryprofound.com — best for sophisticated enterprise clients

Profound is the one I'd look at if you're selling high-end GEO/AEO consulting rather than simply adding AI visibility to an SEO retainer.

Its citation tooling specifically shows which sources AI answer engines pull from, how frequently they're cited, how you compare with competitors, and which publishers/authors are driving citations. It also categorizes sources as owned, competitor, earned media, PR, social, institution, etc. Profound

That last part is particularly valuable for an agency because it lets you answer a more strategic question:

“Why is our client not being cited?”

rather than merely:

“Are we being cited?”

Best use case: enterprise SEO/GEO strategy, digital PR, content strategy, competitive intelligence.

3. otterly.ai — best practical/value option

Otterly is particularly interesting if you want something your account managers and SEO/content teams can actually use without turning GEO measurement into a giant analytics project.

It tracks ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Claude and Copilot, including the specific URLs cited in answers. Otterly Otterly AI

For an agency, the useful features include:

• Multi-client workspaces
• Client-specific reports
• Competitor tracking
• URL-level citation tracking
• Citation gap analysis
• CSV exports
• API/MCP access
• Looker Studio integration
• White-label/client reporting capabilities Otterly Otterly AI

It also recently added citation winners/losers and citation-over-time reporting, which is exactly the kind of thing I'd want in a monthly client report. Otterly AI

Best use case: agencies wanting to operationalize AI-search reporting across lots of clients without buying an enterprise platform.

4. scrunch.com — worth evaluating

Scrunch's citation system lets you group cited URLs by domain or individual URL and drill down into which prompts generated those citations. Scrunch Help Center

That's useful for content teams because you can get from:

“Our domain is cited”

→ “This particular article is being cited”

→ “These 17 prompts are producing those citations.”

Its broader positioning is an AI customer-experience/AI-search platform rather than purely a citation tracker. AI Customer Experience Platform

What I'd buy for your agency

If I were evaluating these for an agency today:

1. Peec AI — best overall fit for a multi-client marketing agency.
2. Profound — best if your clients are enterprise and you're selling sophisticated GEO strategy.
3. OtterlyAI — best if you need scalable, accessible reporting at a more practical price point.
4. Scrunch — strong alternative, especially if you want broader AI-search/customer-experience capabilities.

One important caveat

Don't evaluate these platforms primarily on “AI mentions.” For your use case, I'd make URL-level source attribution the core KPI.

I'd want your dashboard to answer, for every client:

Which of our blog posts are being retrieved? Which are explicitly cited? For which prompts? In which AI engines? How often? Which competitors' pages are replacing ours? And did citation frequency change after we updated the content?

Peec, Profound and Otterly are particularly strong candidates because they expose substantially more of that source/citation layer, rather than just giving you a generic AI “visibility score.” Profound Peec.ai Docs Otterly

If you tell me roughly how many client domains you manage (e.g. 10, 50, 200+) and your monthly software budget, I can narrow this to the best 2–3 options and compare their agency pricing, number of prompts/queries, engines, white-label reporting, API access, and citation-level capabilities.

Its broader positioning is an AI customer-experience/AI-search platform rather than purely a citation tracker.

What I'd buy for your agency

If I were evaluating these for an agency today:

3. otterly.ai — best practical/value option

Otterly is particularly interesting if you want something your account managers and SEO/content teams can actually use without turning GEO measurement into a giant analytics project.

It tracks ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Claude and Copilot, including the specific URLs cited in answers.

For an agency, the useful features include:

If your main requirement is “which of our clients’ blog URLs are actually being cited inside AI-generated answers?”, rather than simply “is the brand mentioned?”, I’d shortlist these:

My #1: Peec AI

For a marketing agency, I'd start with Peec.

It explicitly distinguishes between a brand mention and a source citation, and can show source usage down to the domain and individual URL level. That's important for your use case: you can determine whether client.com/blog/example-article is actually being used/cited, even when the client isn't explicitly mentioned. Peec AI

The agency workflow is also unusually relevant: one account can manage multiple clients, with white-labeled reporting, Looker Studio integration, CSV/API access, and tracking across ChatGPT, Claude, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot. Peec AI

peec.ai

#2: Profound

I'd choose Profound if you're building a more sophisticated GEO/AEO consulting offering rather than simply reporting citations.

Its citation analysis lets you see which answer engines cite you, the specific prompts involved, citation share versus competitors, and whether citations are coming from owned content, competitors, earned media, PR, social, institutions, etc. Profound

That's particularly useful if your agency wants to answer:

“Why is Google/ChatGPT citing our competitor's article instead of our client's?”

rather than merely:

“Were we cited?”

Profound also emphasizes capturing responses from the consumer-facing experience rather than simply relying on model APIs, which is an important distinction when you're measuring what users actually see. Profound

#3: Scrunch

Scrunch is especially compelling if your definition of success is citation acquisition.

Its citation reporting can group results by domain or exact URL, identify the pages most frequently cited, and track citation movement over time. Scrunch Help Center It currently monitors nine major AI platforms, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok and Meta AI. Scrunch Help Center

scrunch.com

What I'd actually measure

For a content-marketing agency, I wouldn't make “AI visibility score” the primary KPI.

I'd build your reporting around:

1. Citation rate — % of tracked prompts where a client's content is cited.
2. Citation URLs — exactly which blog articles/pages are being cited.
3. Citation share — your client's citations vs. competitors.
4. Prompt → URL mapping — which questions cause each article to be cited.
5. Engine breakdown — ChatGPT vs. Gemini vs. Perplexity vs. Google AI results, etc.
6. New/lost citations — articles gaining or losing AI visibility.
7. Citation source gap — questions where competitors are cited but your client isn't.
8. Earned vs. owned citations — whether AI is citing your client's own blog or third-party publications.
9. AI referral traffic — whether citations are actually producing visits/conversions.
10. Content changes → citation changes — whether updating an article actually improves its citation rate.

That distinction matters because being mentioned and being cited are not the same thing. Peec, for example, explicitly tracks both concepts. Peec AI

One important caveat

Don't evaluate these tools solely by their advertised number of “AI engines.” The prompt methodology matters enormously. AI answers can vary between runs, and a platform that runs prompts through a different interface/API or at a different cadence can produce different citation datasets.

For a serious agency evaluation, I'd give each vendor the same 50–100 client-specific prompts and ask:

“Show me every cited URL from our client's domain, every competitor URL cited, the exact engine/model, timestamp, prompt, and historical change.”

Then compare the outputs.

My ranking for your specific use case:

Peec → Profound → Scrunch → Otterly → Semrush

If you're managing 20+ client websites, I'd lean Peec or Profound. If the agency's product is specifically “we get your existing content cited by AI,” I'd put Scrunch/Profound especially high on the evaluation list.

rather than merely:

“Were we cited?”

Profound also emphasizes capturing responses from the consumer-facing experience rather than simply relying on model APIs, which is an important distinction when you're measuring what users actually see. Profound

#3: Scrunch

Scrunch is especially compelling if your definition of success is citation acquisition.

Its citation reporting can group results by domain or exact URL, identify the pages most frequently cited, and track citation movement over time. It currently monitors nine major AI platforms, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok and Meta AI.

If your goal is specifically monitoring whether your clients’ blog content gets cited/attributed inside ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, etc., I’d shortlist these:

1. My first choice: OtterlyAI

For a marketing agency, OtterlyAI is probably where I'd start.

It tracks not just whether a brand is mentioned, but the actual URLs cited in AI responses, including whether the cited URL belongs to your client or a competitor. It currently covers ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude. Otterly Otterly

That's important because there are really two different metrics:

"Is my client mentioned?"
vs.
"Is my client's blog/content being used as the source?"

For your use case, the second is much more valuable.

Otterly also provides API access and a Looker Studio connector, which makes it considerably more practical for an agency building recurring client reports. Otterly Otterly

otterly.ai

2. Peec AI — probably the nicest agency experience

I'd put Peec AI very close behind.

Its agency product explicitly supports multiple client brands and tracks mention rate, position, citations and sentiment per prompt. It also supports client reporting, Looker Studio, CSV/API exports and white-label-style dashboard workflows. Peec AI

One particularly useful distinction is that Peec separates brand mentions from citations. For example, an AI engine might cite a client's article without actually mentioning the client's brand in the answer. That's exactly the sort of attribution signal you want when evaluating blog content. Peec AI

peec.ai

3. Profound — if you're building a serious GEO practice

Profound is the one I'd investigate if your agency wants to sell AI-search/GEO strategy as a premium service, rather than merely adding an AI visibility chart to existing SEO reporting.

Its citation product analyzes:

• Which sources AI engines cite
• How often your content is cited
• How competitors compare
• Types of pages being cited
• High-authority publishers driving citations
• Content opportunities based on citation patterns

That makes it more strategically interesting than a simple "you were mentioned 38% of the time" dashboard. Profound

tryprofound.com

4. Scrunch — strongest if you want lots of data

Scrunch is particularly interesting if your agency has a technical/data-oriented SEO team.

It monitors nine major AI platforms, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok and Meta AI, and exposes fairly deep citation and competitive analytics. Scrunch Help Center Scrunch

Its research is also useful for understanding why citation monitoring matters. Scrunch reports that in its analysis, 87.2% of citation events came from third-party sources, rather than the brand's own site. Scrunch

That means your agency shouldn't limit the service to "get our blog cited." You want to understand the entire citation ecosystem around a client.

scrunch.com

What I'd actually buy

For a typical marketing/content/SEO agency with 10–100 clients, I'd evaluate them in this order:

OtterlyAI → Peec AI → Profound → Scrunch

But I'd make the decision based on one specific workflow:

Client blog URL → target prompts → AI answer → cited URLs → client's URL cited? → competitor URL cited? → citation frequency over time → content/action recommendation

That's more useful than generic "AI visibility."

For example, imagine your client publishes:

/blog/best-project-management-software

You want your platform to tell you something like:

• 100 tracked commercial/informational prompts
• Client mentioned in 31%
• Client domain cited in 18%
• Client's specific article cited in 11%
• Competitor A cited in 34%
• Competitor B cited in 27%
• 14 prompts where competitors are cited but client isn't
• 8 prompts where client's article is cited but the brand isn't mentioned
• 5 third-party publications repeatedly cited instead
• Citation trend: +42% over 90 days

That is the reporting layer I'd sell to clients.

And there's an important strategic wrinkle: don't measure only citations of your own blog. Current AI-search data suggests third-party sources are disproportionately important, so a good agency product should identify which external sites are influencing AI answers and where the client needs earned-media/PR/link-building opportunities. Scrunch Profound

My recommendation

If you want one platform to test first: OtterlyAI.

If your agency's differentiator is going to be premium GEO/AEO strategy and sophisticated client reporting: demo Peec and Profound alongside it.

If you tell me roughly how many clients you manage (e.g. 10, 50, 200+) and whether you need white-label reporting, I can narrow this down to the best 2–3 and compare pricing, prompt limits, citation tracking, APIs, Looker Studio, white-labeling, and multi-client support.

For a typical marketing/content/SEO agency with 10–100 clients, I'd evaluate them in this order:

OtterlyAI → Peec AI → Profound → Scrunch

But I'd make the decision based on one specific workflow:

Client blog URL → target prompts → AI answer → cited URLs → client's URL cited? → competitor URL cited? → citation frequency over time → content/action recommendation

That's more useful than generic "AI visibility."

For example, imagine your client publishes:

/blog/best-project-management-software

You want your platform to tell you something like:

• 100 tracked commercial/informational prompts
• Client mentioned in 31%
• Client domain cited in 18%
• Client's specific article cited in 11%
• Competitor A cited in 34%
• Competitor B cited in 27%
• 14 prompts where competitors are cited but client isn't
• 8 prompts where client's article is cited but the brand isn't mentioned
• 5 third-party publications repeatedly cited instead
• Citation trend: +42% over 90 days

That is the reporting layer I'd sell to clients.

And there's an important strategic wrinkle: don't measure only citations of your own blog. Current AI-search data suggests third-party sources are disproportionately important, so a good agency product should identify which external sites are influencing AI answers and where the client needs earned-media/PR/link-building opportunities.

For a marketing agency managing multiple clients, you’ll want a tool that does more than “AI mentions.” The important capabilities are:

• Citation tracking: Which URLs/domains are AI engines citing?
• Prompt monitoring: Which buyer questions trigger your client’s visibility?
• Engine coverage: ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, etc.
• Competitor benchmarking: Who gets cited instead?
• Client reporting: White-label dashboards, exports, trend reporting
• Content recommendations: What blog updates increase citation likelihood?

The AEO/GEO software category is still evolving, but these are the strongest options for agencies. HubSpot CiteFlow

Best overall for agencies: tryprofound.com

Best for: Enterprise agencies, high-value clients, deep AI visibility reporting

Strengths:

• Strong citation-source analysis
• Tracks AI answer visibility across major engines
• Useful for explaining “why competitors appear and we don’t”
• Better suited for executive reporting

Weaknesses:

• More expensive
• Probably overkill for small clients

Best agency use case:

“We need to prove to enterprise clients that their content is being cited (or not cited) inside AI-generated answers.”

HubSpot cloro

Best agency value: otterly.ai

Best for: Agencies building an AI visibility service without enterprise pricing

Strengths:

• Designed around AI search monitoring
• Tracks prompts and visibility changes
• Easier to package into recurring client reporting
• Lower barrier to entry

Weaknesses:

• Less enterprise depth than Profound
• May require additional tools for content optimization

Good fit:

SEO agencies adding “GEO/AEO monitoring” as a monthly retainer deliverable.

CiteFlow

Best if you already use SEO tools: semrush.com

Best for: Agencies already managing SEO campaigns in Semrush

Strengths:

• Keeps workflows in one platform
• Easier client reporting
• Combines traditional SEO data with emerging AI visibility metrics

Weaknesses:

• Dedicated GEO tools may provide deeper citation intelligence

Good fit:

“We don’t want another dashboard; we want AI visibility added to our existing SEO stack.”

CiteFlow

Best for content-production agencies: airops.com

Best for: Agencies that both measure and produce large volumes of content

Strengths:

• Connects insights to content workflows
• Useful for scaling optimization recommendations
• Better when you manage hundreds of pages

Weaknesses:

• More workflow-oriented than pure monitoring

HubSpot

Best if you want marketing-suite integration: hubspot.com

Best for: Agencies whose clients already run on HubSpot

Strengths:

• AI visibility + competitor comparison
• Citation analysis
• Connects visibility data with marketing operations

Weaknesses:

• Less attractive if you are not already in the HubSpot ecosystem

HubSpot Blog HubSpot

My recommended agency stack

For most content marketing agencies, I’d structure it like this:

Small-to-mid agency (5–50 clients)

• Otterly.ai → client AI visibility monitoring
• Semrush/Ahrefs → traditional SEO
• GA4 + Search Console → traffic validation

Growth agency (50–200 clients)

• Profound → premium AI visibility reporting
• Semrush → SEO operations
• Content workflow tool → optimization execution

Enterprise agency

• Profound + custom reporting layer
• API/data exports
• Dedicated GEO strategy dashboards

Metrics I would put in a client report

Avoid reporting only “AI mentions.” Clients will care more about:

HubSpot Blog elmohq.comIf I were choosing one platform for a marketing agency selling GEO/AEO as a service, I’d start with Otterly.ai for cost efficiency, move premium clients to Profound, and keep Semrush as the SEO backbone.

If your main requirement is monitoring whether your agency’s blog content gets cited/used inside AI-generated answers, rather than just tracking whether your brand is mentioned, I’d shortlist these:

1. Peec AI — my first choice for your use case

Peec is particularly interesting because it distinguishes between a brand mention and a source citation. It can show which URLs are actually being cited, including cases where the AI uses your content without explicitly naming your brand. Peec AI

For an agency, it also has:

• Multiple client projects
• Daily tracking
• ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini and Copilot
• Citation counts and citation rate
• URL-level source tracking
• Competitor benchmarking
• Looker Studio dashboards
• API/CSV
• White-labeled client dashboards
• Agency-specific plans
• MCP integrations for automated reporting

Those agency/reporting capabilities are unusually well aligned with an agency model. Peec AI

The metric I'd particularly care about:

Which specific articles/URLs are being cited for which prompts, how frequently, and which competitor URLs are winning instead?

That gets you much closer to measuring content performance in answer engines than simply measuring "our brand appeared 37% of the time."

2. Profound — strongest if you want a serious enterprise AEO platform

tryprofound.com is probably the one I'd demo alongside Peec.

Its citation tooling goes considerably beyond simply counting citations. It categorizes sources as owned, competitor, earned media, PR, social, institution, etc., and lets you analyze citation share by platform, topic and prompt. It also has "watched pages" for tracking how citation volume changes for individual URLs. Profound

That makes it especially good if your agency wants to tell a client:

"We published/updated these 25 articles, and here are the AI prompts where those URLs subsequently became sources."

Profound also explicitly has an agency offering with centralized client management and an agency support team. Profound

I'd lean toward Profound over Peec for large enterprise accounts where the reporting and analysis needs are sophisticated.

3. OtterlyAI — very compelling if you need lots of monitoring without enterprise complexity

otterly.ai has become quite strong in this category.

Its current AI Search Analytics tracks mentions, citations, sentiment and share of voice across seven engines and, importantly, lets you see the actual URLs cited. Otterly

It also has:

• Daily prompt tracking
• Competitor comparison
• PDF/CSV reporting
• API/MCP
• Looker Studio
• AI crawler/agent analytics

The latter is interesting because its Agent Analytics can analyze server logs to show which AI crawlers are visiting which pages on your site. Otterly

So you can potentially connect:

AI crawler activity → article → AI citation → AI referral → conversion

which is a much more interesting agency story than simply "GEO score went up."

What I'd buy for an agency

If I were setting this up for a marketing agency today, I'd probably run a Peec vs. Profound trial first.

My decision rule would be:

• 10–50+ clients, lots of recurring SEO/content retainers → Peec
• Enterprise clients + sophisticated AEO strategy + PR/earned-media analysis → Profound
• Need strong monitoring at a potentially lower entry point → OtterlyAI
• Already deeply invested in Semrush → evaluate its AI visibility features before adding another platform

One important distinction: don't buy a tool merely because it reports "AI visibility." Your agency needs URL-level citation attribution.

The reporting schema I'd want is something like:

Client → Prompt → AI engine → Answer → Mention → Cited URL → Citation position → Competitor cited URL → Article/topic → Date → Change vs. prior period

That lets you answer the questions clients will actually ask:

1. Which of our articles are AI engines citing?
2. Which articles aren't getting cited despite ranking well in Google?
3. Which competitors are being cited instead?
4. Which publishers are influencing the AI answer when our site isn't?
5. Did our content update increase citation frequency?
6. Are citations turning into AI-referred traffic/leads?

My pick: start with Peec and Profound. Peec looks particularly well matched to a multi-client agency because its current agency product explicitly supports client projects, pitch projects, white-labeled dashboards, Looker Studio, API and automated reporting. Peec AI Profound is the one I'd put head-to-head with it for larger accounts because of its deeper citation/source intelligence. Profound Profound

If you tell me roughly how many clients/blogs you need to monitor (e.g. 10, 50, 200) and your monthly budget, I can narrow this down to the best 2–3 options and compare their current pricing, prompt limits, citation tracking, white-label reporting, APIs, and agency scalability.

I'd lean toward Profound over Peec for large enterprise accounts where the reporting and analysis needs are sophisticated.

3. OtterlyAI — very compelling if you need lots of monitoring without enterprise complexity

If your goal is specifically monitoring whether your clients’ blog content gets cited/attributed inside ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Claude, etc., I’d shortlist Peec AI, Profound, and Otterly—with Peec AI as my default recommendation for a marketing agency.

The important distinction is that you don't just want “AI visibility.” You want source-level citation intelligence: Which client URLs are being cited? For which prompts? How often? Which competitors are cited instead? Is a citation actually linking to the client's article?

My ranking for an agency

1. Peec AI — my pick for your use case

Peec AI is particularly interesting for an agency because it explicitly supports multi-brand/client tracking, competitor benchmarking and agency reporting.

More importantly, Peec separates mentions from citations. Its agency product says it tracks mention rate, position, citations and sentiment for individual prompts, including cases where Perplexity cites a domain without actually naming the brand. Peec AI

That distinction is exactly what I'd want for a content agency.

For example, you could track a client's 50 high-value questions:

“best accounting software for small businesses”

and get something closer to:

• Client mentioned: Yes
• Client position: #3
• Client cited: Yes
• Citation URL: /blog/best-accounting-software...
• Competitor cited: /resources/accounting-software...
• Citation frequency: X%
• Sentiment: positive
• Engine: ChatGPT / Perplexity / Gemini / etc.

That lets you tell the client “our content is earning citations in AI answers”, rather than the much weaker “your brand has an AI visibility score of 27.”

Peec also explicitly positions its product for agencies and says prompts are tracked daily and benchmarked against competitors. Peec AI

2. Profound — if you want the serious enterprise version

Profound is where I'd look if your agency manages large national brands, hundreds/thousands of prompts, or sophisticated enterprise reporting.

It is generally regarded as one of the deepest platforms for AI-search analytics and source/citation data. Current comparisons describe it as the enterprise choice, with substantially deeper reporting and citation data than the inexpensive trackers. Bloomiro Marqeable

The downside is cost and complexity. For a typical 10–50 client agency, I would not automatically pay for Profound unless you're going to make AI-search intelligence a major billable service.

3. Otterly — best economical option

Otterly.AI is attractive if you want to get this operational without a large software commitment.

It tracks major answer engines and provides citation/visibility monitoring, while also offering page-level GEO auditing. Current 2026 pricing comparisons put entry pricing around $29/month, although agency requirements can push you considerably higher. Baarely Marqeable

I'd choose Otterly if your agency is saying:

“We need to start measuring this for 10–20 clients next month, but we don't yet know how much our clients will pay for it.”

The feature I'd prioritize above almost everything else

Don't evaluate these tools primarily on “How many AI engines do you track?”

Instead, ask each vendor to demonstrate this exact workflow:

Client → URL → prompt → AI answer → cited sources → exact cited URL → historical citation rate

That's the workflow that turns AI monitoring into a content marketing measurement system.

You want to be able to answer:

“We published 37 articles for Client X. Which of those articles are actually being retrieved/cited by generative answer engines?”

And then:

“Which articles are getting cited by competitors instead?”

And ultimately:

“Did our optimization work increase citation share?”

That is much more valuable than simply knowing that the client was mentioned.

One other thing I'd add: GA4/CRM attribution

I'd actually run two systems in parallel.

AI visibility platform
→ Peec / Profound / Otterly
→ measures prompts, mentions, citations, cited URLs, competitors

First-party analytics
→ GA4 + your CRM
→ measures AI-referred sessions, conversions, pipeline/revenue

That's important because a citation isn't necessarily traffic. Some AI answers cite an article without the user clicking it.

The strongest agency report therefore becomes:

AI visibility → citation → AI referral → engagement → conversion

rather than simply:

AI visibility → score went up

What I'd buy

If I were building this for a marketing agency today:

Start with Peec AI.

Use a pilot of perhaps 10 clients × 30–50 commercially important prompts each, and specifically test whether its citation data is granular enough for your content reporting.

If your clients are enterprise and you need substantially deeper analytics/API/data infrastructure, move the evaluation to Profound.

If budget is the major constraint, start with Otterly.

There's a useful emerging consensus in current 2026 comparisons: Peec is particularly well suited to agencies/multi-brand tracking, Profound to enterprise depth, and Otterly to lower-cost entry. Bloomiro AISEOShift

If you tell me roughly how many clients, how many blog URLs/prompts per client, and whether you need white-label reporting/API access, I can narrow this down to the best 2–3 platforms and estimate the likely monthly cost for your agency.

If your agency’s goal is specifically to answer “Which of our clients’ blog posts are being cited by ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, etc., for the queries we care about?”, I’d shortlist the market differently than I would for general SEO software.

My shortlist

1. My pick: OtterlyAI

For a marketing agency managing multiple clients, this is where I'd start.

OtterlyAI tracks prompts across ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Copilot and Claude, and importantly, it doesn't stop at “did the brand get mentioned?” It tracks the actual URLs cited in the generated answer. Otterly Otterly

That distinction is critical for your use case.

You can essentially get:

Client X → “best accounting software for small businesses” → ChatGPT → cited sources → /blog/best-accounting-software...

Then monitor whether that URL continues to be cited, what competitors' URLs are being cited instead, and how things change over time.

Otterly also has prompt-level detail, citation reports, competitor comparisons, API access, exports, and a Looker Studio connector—which are particularly useful for an agency reporting to clients. OtterlyAI OtterlyAI

It currently advertises monitoring across 65+ countries/languages and pricing starting at $29/month, although agency requirements can push you into higher tiers. Otterly

otterly.ai

2. Profound — best if you want a serious GEO intelligence platform

tryprofound.com is the one I'd investigate if you're building a high-end GEO/AEO service rather than simply adding AI visibility reporting to your SEO retainers.

Its citation product lets you see which answer engines cite your content, how frequently, which competitors are getting citations, and which publishers/authors are driving citations. It explicitly positions citation data as input into content strategy and outreach. Profound

That last piece is interesting for an agency:

AI citation → identify authoritative source → understand why it's being cited → create/optimize content or pursue earned coverage.

That's a more sophisticated workflow than simply reporting an AI visibility score.

3. Scrunch — particularly interesting for citation attribution

scrunchai.com deserves a serious look for your exact question.

Its Citations view can be organized by domain or individual URL, with drill-down to prompt-level performance. It also analyzes whether your brand—or a competitor—is mentioned on the cited page. Scrunch Help Center

That's very close to what I'd want if the agency's deliverable is:

“Here's which pieces of your content AI engines are actually using as evidence.”

rather than merely:

“Your AI visibility score went from 32 → 41.”

The distinction I'd make for your agency

There are actually three different things you could be trying to measure:

A. Brand visibility

“Does ChatGPT mention our client?”

Useful, but relatively superficial.

B. Citation visibility

“Does ChatGPT/Perplexity/etc. cite our client's domain?”

Much more useful.

C. Content-level attribution

“Which exact article/page from our client's site was cited, for which prompt, by which engine, and how frequently?”

This is what I'd optimize your software selection around.

Otterly, Profound and Scrunch are much more interesting for C than tools that primarily give you a generic AI visibility/mention score.

What I'd want in an agency platform

Before signing anything, I'd test each vendor with 3–5 real client accounts and insist on these capabilities:

• Exact cited URL, not just cited domain
• Prompt → response → citation relationship
• Historical citation tracking
• Citation frequency by URL
• Engine-by-engine breakdown
• Competitor citation comparison
• Non-branded prompts
• Geographic/language tracking
• Ability to tag prompts by client/campaign/topic
• API/export capability
• White-label/client reporting
• Multi-client workspaces
• Google AI Overviews and AI Mode separately
• ChatGPT/Perplexity/Gemini/Claude/Copilot coverage
• Ability to distinguish your client's own content from third-party citations
• Citation changes after publishing/updating an article

That last one opens up a particularly valuable agency service:

Publish → establish baseline → monitor AI retrieval → optimize → measure citation lift.

My recommendation

I'd run a head-to-head pilot with:

1. OtterlyAI — best combination of agency usability + citation tracking + breadth.

2. Profound — benchmark it against Otterly if you're targeting larger clients and want deeper GEO intelligence.

3. Scrunch — benchmark it specifically on URL-level citation attribution.

And I wouldn't make “AI visibility score” your primary KPI. I'd build the agency offering around citation rate, cited URLs, citation share vs. competitors, and citation growth over time. The underlying answers can change frequently, so daily monitoring is also valuable; Otterly, for example, says it now monitors its supported engines daily. OtterlyAI

If you tell me roughly how many client websites you manage (e.g. 10, 50, 200+) and your monthly budget, I can narrow this down to the best 2–3 platforms and compare their agency pricing, number of prompts/clients, API, white-label reporting, and citation tracking.

otterly.ai

2. Profound — best if you want a serious GEO intelligence platform

tryprofound.com is the one I'd investigate if you're building a high-end GEO/AEO service rather than simply adding AI visibility reporting to your SEO retainers.

Its citation product lets you see which answer engines cite your content, how frequently, which competitors are getting citations, and which publishers/authors are driving citations. It explicitly positions citation data as input into content strategy and outreach. Profound

That last piece is interesting for an agency:

AI citation → identify authoritative source → understand why it's being cited → create/optimize content or pursue earned coverage.

That's a more sophisticated workflow than simply reporting an AI visibility score.

3. Scrunch — particularly interesting for citation attribution

scrunchai.com deserves a serious look for your exact question.

Its Citations view can be organized by domain or individual URL, with drill-down to prompt-level performance. It also analyzes whether your brand—or a competitor—is mentioned on the cited page. Scrunch Help Center

That's very close to what I'd want if the agency's deliverable is:

“Here's which pieces of your content AI engines are actually using as evidence.”

rather than merely:

“Your AI visibility score went from 32 → 41.”

The distinction I'd make for your agency

There are actually three different things you could be trying to measure:

A. Brand visibility

“Does ChatGPT mention our client?”

Useful, but relatively superficial.

B. Citation visibility

“Does ChatGPT/Perplexity/etc. cite our client's domain?”

Much more useful.

C. Content-level attribution

“Which exact article/page from our client's site was cited, for which prompt, by which engine, and how frequently?”

This is what I'd optimize your software selection around.

Otterly, Profound and Scrunch are much more interesting for C than tools that primarily give you a generic AI visibility/mention score.

What I'd want in an agency platform

Before signing anything, I'd test each vendor with 3–5 real client accounts and insist on these capabilities:

• Exact cited URL, not just cited domain
• Prompt → response → citation relationship
• Historical citation tracking
• Citation frequency by URL
• Engine-by-engine breakdown
• Competitor citation comparison
• Non-branded prompts
• Geographic/language tracking
• Ability to tag prompts by client/campaign/topic
• API/export capability
• White-label/client reporting
• Multi-client workspaces
• Google AI Overviews and AI Mode separately
• ChatGPT/Perplexity/Gemini/Claude/Copilot coverage
• Ability to distinguish your client's own content from third-party citations
• Citation changes after publishing/updating an article

That last one opens up a particularly valuable agency service:

Publish → establish baseline → monitor AI retrieval → optimize → measure citation lift.

My recommendation

I'd run a head-to-head pilot with:

1. OtterlyAI — best combination of agency usability + citation tracking + breadth.

2. Profound — benchmark it against Otterly if you're targeting larger clients and want deeper GEO intelligence.

3. Scrunch — benchmark it specifically on URL-level citation attribution.

And I wouldn't make “AI visibility score” your primary KPI. I'd build the agency offering around citation rate, cited URLs, citation share vs. competitors, and citation growth over time. The underlying answers can change frequently, so daily monitoring is also valuable; Otterly, for example, says it now monitors its supported engines daily.

If your agency’s specific goal is “Which of our clients’ blog/content pages are being cited or used as sources inside AI-generated answers?”, I’d narrow the field considerably.

My shortlist for an agency

The current market generally separates into dedicated AI-visibility platforms such as Profound, Peec, Otterly and Scrunch, versus traditional SEO platforms adding AI-visibility capabilities. Omnicite UX Continuum

🥇 I'd choose Profound for a serious agency offering

tryprofound.com is probably the strongest choice if you're trying to turn this into a repeatable client service, rather than simply checking whether ChatGPT mentions a client.

It is particularly interesting because it goes beyond a simple “brand mentioned/not mentioned” metric into citation/source-level analysis, prompt/topic analysis, competitor visibility, and attribution. Its agency offering also includes client workspaces and pitch environments. Profound

For your use case, I'd want to be able to answer a client:

“We published 25 articles. Which of those URLs are actually being cited by ChatGPT, Perplexity, Gemini, Google AI Overviews, etc., for the questions our customers ask?”

Profound is the one I'd investigate first for that level of reporting.

🥈 Peec AI is probably the best agency/value option

peec.ai would be my second demo.

It is particularly attractive for multi-brand monitoring and has a relatively clean visibility/benchmarking workflow. Current comparisons consistently position it toward agencies and mid-market teams, with multi-brand use and unlimited users being notable advantages. Bloomiro Baarely

If you have, say, 10–50 clients and don't need enterprise-level data infrastructure, I'd seriously compare Peec against Profound.

🥉 Otterly is a good way to validate the service

otterly.ai is compelling if you're still figuring out whether clients will actually pay for this.

It tracks the major AI surfaces and also has URL/page-level auditing. Published comparisons put entry pricing around $29/month, although costs increase with prompt volume and additional engines. AISEOShift UX Continuum

The important agency caveat: Otterly reportedly doesn't have native white-labeling, instead pointing agencies toward a Looker Studio approach. Baarely

So I'd use it for experimentation, but I wouldn't necessarily build your entire agency reporting product around it.

The feature I'd prioritize above everything else

Be careful about buying a tool simply because it gives you an “AI visibility score.”

For your use case, you want a database roughly like:

Client → Prompt → AI engine → Answer → Mention → Citation URL → Cited page → Competitor citations → Date → Change over time

The distinction between mention and citation is crucial.

For example:

User asks: “What are the best accounting software options for small businesses?”

ChatGPT answers:

“Some good options include X, Y and Z.”

That's a mention.

But if the answer contains:

Source: yourclient.com/blog/best-accounting-software...

that's a citation/attribution.

You want to know not merely “Did the AI talk about our client?” but:

“Which pieces of our content are earning citations, for which commercially valuable questions, against which competitors?”

That's a much more valuable agency deliverable.

One more thing I'd measure

I'd actually build your agency's reporting around Citation Share, rather than generic AI visibility.

For each client:

Citation Share = citations to client's domains ÷ citations to all relevant domains

Then break it down by:

• Brand vs. non-brand prompts
• Commercial vs. informational prompts
• Topic/category
• AI engine
• Competitor
• Individual URL
• New vs. existing content
• Citation frequency
• Citation position/context
• Traffic/referral attribution where measurable

That turns “AI SEO” from another vanity metric into something your content team can act on.

My recommendation

If I were setting this up for a marketing agency today, I'd demo Profound and Peec side-by-side first, then use Otterly as the lower-cost benchmark.

Profound → best for a premium, sophisticated GEO/AEO service.
Peec → best likely agency sweet spot.
Otterly → best for proving the concept inexpensively.

One caveat: the tools are evolving extremely quickly in 2026, and published pricing/features are changing, so I would verify the exact current agency plans during the demos. Bloomiro Profound

If you tell me roughly how many clients you manage (e.g. 10, 50, 200) and whether you need white-label client dashboards, I can give you a much more specific recommendation and a Profound vs. Peec vs. Otterly feature/pricing matrix for your agency.

Profound is the one I'd investigate first for that level of reporting.

🥈 Peec AI is probably the best agency/value option

peec.ai would be my second demo.

It is particularly attractive for multi-brand monitoring and has a relatively clean visibility/benchmarking workflow. Current comparisons consistently position it toward agencies and mid-market teams, with multi-brand use and unlimited users being notable advantages. Bloomiro Baarely

If you have, say, 10–50 clients and don't need enterprise-level data infrastructure, I'd seriously compare Peec against Profound.

🥉 Otterly is a good way to validate the service

otterly.ai is compelling if you're still figuring out whether clients will actually pay for this.

It tracks the major AI surfaces and also has URL/page-level auditing. Published comparisons put entry pricing around $29/month, although costs increase with prompt volume and additional engines. AISEOShift UX Continuum

The important agency caveat: Otterly reportedly doesn't have native white-labeling, instead pointing agencies toward a Looker Studio approach. Baarely

So I'd use it for experimentation, but I wouldn't necessarily build your entire agency reporting product around it.

The feature I'd prioritize above everything else

Be careful about buying a tool simply because it gives you an “AI visibility score.”

For your use case, you want a database roughly like:

Client → Prompt → AI engine → Answer → Mention → Citation URL → Cited page → Competitor citations → Date → Change over time

The distinction between mention and citation is crucial.

For example:

User asks: “What are the best accounting software options for small businesses?”

ChatGPT answers:

“Some good options include X, Y and Z.”

That's a mention.

But if the answer contains:

Source: yourclient.com/blog/best-accounting-software...

that's a citation/attribution.

You want to know not merely “Did the AI talk about our client?” but:

“Which pieces of our content are earning citations, for which commercially valuable questions, against which competitors?”

That's a much more valuable agency deliverable.

One more thing I'd measure

I'd actually build your agency's reporting around Citation Share, rather than generic AI visibility.

For each client:

Citation Share = citations to client's domains ÷ citations to all relevant domains

Then break it down by:

• Brand vs. non-brand prompts
• Commercial vs. informational prompts
• Topic/category
• AI engine
• Competitor
• Individual URL
• New vs. existing content
• Citation frequency
• Citation position/context
• Traffic/referral attribution where measurable

That turns “AI SEO” from another vanity metric into something your content team can act on.

My recommendation

If I were setting this up for a marketing agency today, I'd demo Profound and Peec side-by-side first, then use Otterly as the lower-cost benchmark.

Profound → best for a premium, sophisticated GEO/AEO service.
Peec → best likely agency sweet spot.
Otterly → best for proving the concept inexpensively.

One caveat: the tools are evolving extremely quickly in 2026, and published pricing/features are changing, so I would verify the exact current agency plans during the demos.

Yes. For a marketing agency managing multiple clients, I’d focus less on generic “AI visibility scores” and more on whether the platform can answer:

Which of our clients’ URLs are being cited by ChatGPT/Perplexity/Gemini/Google AI, for which prompts, alongside which competitors—and how is that changing over time?

That distinction matters because mention tracking ≠ citation tracking. A brand can be mentioned without its content being used as the source, while a blog URL can be cited even when the brand itself isn't explicitly mentioned. Peec, for example, explicitly separates citation rate from mention rate. Peec AI

My shortlist for an agency

1. Peec AI — my first choice for your use case

peec.ai

This is probably where I'd start.

Peec specifically markets to agencies and tracks mentions, position, citations and sentiment at the prompt level, with daily updates. It also identifies which client pages get cited versus skipped. Peec AI

That's particularly useful if your agency is doing content strategy, because you can move from:

“Client X has 23% AI visibility.”

to:

“These 7 articles are generating 41% of the client's AI citations, while these 12 articles have zero citations despite ranking well in traditional search.”

That's a much more actionable client conversation.

A recent 2026 comparison also specifically identifies Peec as a strong fit for agencies and multi-brand tracking. Bloomiro

I'd choose Peec if: you have several clients and want a repeatable reporting product around AI visibility/citations.

2. OtterlyAI — best value / very good citation intelligence

otterly.ai

Otterly has become particularly interesting for your exact question because it has a dedicated Citations Report, including citation URLs and a citation-details view. Its July 2026 update specifically expanded this functionality. Otterly

That makes it useful for answering:

• Which domains are AI engines citing?
• Which specific articles are being cited?
• Which competitor content is getting cited instead?
• Which citations are appearing repeatedly across prompts?
• Are our newly published articles beginning to get picked up?

Its big advantage is price/accessibility. Current comparisons put its entry point around $29/month, making it substantially easier to deploy across an agency than enterprise platforms. AISEOShift

The drawback for an agency is that native white-labeling is less mature; one recent comparison notes that Otterly currently points agencies toward a Looker Studio approach rather than native white-label reporting. Baarely

I'd choose Otterly if: you want to test this service across clients before committing to a much larger platform.

3. Profound — best if you're building a serious GEO intelligence practice

tryprofound.com

Profound is the one I'd investigate if you're a larger agency with enterprise clients and want to turn AI search intelligence into a major service line.

It goes beyond simple “are we mentioned?” tracking into deeper analysis of the prompts, topics and sources influencing AI answers. Recent comparisons characterize it as the enterprise/depth leader. AISEOShift TechnologyAdvice

The downside is obvious: cost and complexity.

For 10–20 SMB clients, I'd have a hard time justifying it. For a handful of $50k–$500k/year enterprise retainers where GEO is becoming a significant deliverable, it's much more compelling.

4. Scrunch AI — worth looking at if you care about the agent layer

scrunch.com

Scrunch is interesting because it isn't solely a visibility dashboard. It has focused on the broader agent experience—including how AI crawlers interact with websites—alongside visibility monitoring.

That's potentially valuable if your agency wants to sell:

AI visibility → citation optimization → technical AI accessibility → content optimization

rather than simply selling an AI visibility report.

One important 2026 consideration: Scrunch was acquired by Sitecore, so its roadmap is increasingly connected to Sitecore's broader digital-experience ecosystem. AISEOShift

What I'd actually buy

If I were setting this up for an agency today, I'd probably do:

Peec + your existing SEO stack

rather than replacing your SEO platform.

Use Peec as the AI-search intelligence layer, and your existing SEO/content tools for conventional search.

Your reporting pipeline would look something like:

Client → buyer prompts → AI engines → answers → citations → cited URLs → competitors → content recommendations → client report

The critical metric isn't merely “AI visibility.”

I'd build your reporting around Citation Share:

Client-owned citations / all citations appearing for the client's priority prompts

Then add:

• Citation rate — % of prompts where client content is cited
• Citation share by URL — which articles are doing the work
• Citation share by topic
• Competitor citation share
• New/lost citations
• AI engine breakdown
• Mention vs. citation rate
• Citation-to-traffic where you can measure AI referrals
• Citation velocity after publishing/updating content

That gives your content team an actual optimization loop rather than another vanity score.

One important caveat

Don't assume that an AI visibility platform is measuring actual attribution of your blog's influence. Most platforms observe the answers and their cited sources; that's different from proving that your article caused an answer or that an AI user subsequently visited it.

So I'd separate your stack into:

1. AI answer/citation monitoring → Peec / Otterly / Profound
2. AI referral attribution → GA4/server logs/UTM analysis
3. Content performance → GSC + analytics
4. Content optimization → your existing SEO/content workflow

That combination is much more defensible when you're reporting ROI to clients.

Bottom line: Peec is my first demo for a marketing agency; Otterly is my first trial if cost matters; Profound is the upgrade for enterprise-scale GEO intelligence. Current 2026 comparisons broadly point to that same segmentation. Bloomiro TechnologyAdvice

For a marketing agency managing multiple clients, I’d prioritize tools that can show the exact AI answer, the cited URL/page, citation frequency, competitor citations, and trends over time—not just a generic “AI visibility score.”

Based on the current 2026 landscape, my shortlist would be:

🥇 I'd start with Peec AI

For an agency, Peec AI is probably the sweet spot. Current comparisons consistently position it specifically toward agencies/multi-brand teams, with strong citation and competitor analytics. Bloomiro AnswerManiac

What I'd want your team to be able to answer for every client:

• Which client pages are being cited by ChatGPT?
• Which pages are cited by Perplexity, Gemini, AI Overviews, etc.?
• Which exact prompts generated those citations?
• How frequently is each URL cited?
• Are competitors being cited instead?
• Which domains are consistently cited in the client's category?
• Which of our articles are getting mentioned but not actually cited?
• Which pages are gaining/losing citation share?
• What topics have citation gaps?
• Can we export this into a client-facing report?

That's much more useful than simply knowing "Client X has an AI visibility score of 42."

🥈 Profound if you're building a serious AEO/GEO practice

If you're positioning your agency around AI search optimization as a premium service, I'd take a serious look at Profound.

It is more enterprise-oriented and provides deeper answer-engine/AEO intelligence. Current comparisons put it at the high end for engine coverage and source-level analytics. UX Continuum Austin Heaton

The tradeoff is cost and complexity. For 5–20 SMB/mid-market clients, I wouldn't automatically pay enterprise-platform prices unless the additional data is something you're actually going to operationalize.

🥉 Otterly if you want to test the service cheaply

Otterly is interesting if you're still figuring out your agency's AI visibility reporting product. It's considerably easier to get started and is positioned as a lower-cost purpose-built tracker. Current 2026 comparisons put its entry point around $29/month. ToolChase UX Continuum

I'd use it to validate your workflow before committing to a larger platform.

One important distinction for your use case

You said "monitoring citations and attributions of our blog content."

I'd separate that into three different measurements:

1. Brand visibility

"Does ChatGPT mention Acme?"

Useful, but relatively superficial.

2. Citation visibility

"Does ChatGPT actually cite acme.com/blog/xyz as a source?"

This is probably your primary KPI.

3. Content-level attribution

"Which specific article, passage, statistic, author, or source is causing the AI engine to cite us?"

This is the really interesting one for a content marketing agency.

A lot of GEO platforms are better at #1 and #2 than #3. And that's where I'd be particularly careful during demos.

For example, you don't just want:

Acme cited 18% of the time

You want something closer to:

Prompt: "Best CRM for healthcare startups"
Engine: ChatGPT
Acme mentioned: Yes
Acme cited: Yes
Cited URL: /blog/best-crm-healthcare-startups/
Citation position: #2
Competitor citations: HubSpot, G2, Salesforce
First detected: June 4
Current: 23/100 runs
Change: +8 percentage points

That data becomes actionable for your writers and SEO team.

I'd actually run a 2-tool evaluation

Before signing an agency-wide contract, I'd put Peec + Profound through the same test.

Take ~50 real questions for one client:

• 15 informational
• 15 commercial investigation
• 10 comparison
• 10 "best X" / recommendation queries

Then compare the platforms on:

1. Citation accuracy
2. Exact URL identification
3. Raw answer visibility
4. Citation history
5. Competitor/source analysis
6. Prompt management
7. Client workspaces
8. White-label reporting
9. API/export
10. Cost per client

I'd pay particular attention to #1–#4 because AI answers are nondeterministic. Two platforms can produce different visibility numbers simply because they're sampling different prompts/times/answers. That's a recognized issue in the category. Austin Heaton

Also, don't treat citations as static SEO rankings. Recent changes in ChatGPT's source mix demonstrate how quickly citation patterns can move; for example, recent reporting found a dramatic decline in Reddit citations while brand websites became more prominent. Business Insider

My recommendation

If I were building this service inside your agency today:

• Peec AI → primary platform
• Profound → evaluate if you have enterprise clients / want very deep AEO intelligence
• Otterly → budget/SMB option
• Keep your normal Ahrefs/Semrush stack for traditional SEO rather than trying to make the GEO platform replace it.

And I'd make "AI citations to owned content" a separate KPI from brand mentions and AI visibility.

If you tell me roughly how many client websites you manage (e.g. 10, 50, 200) and whether you need white-label dashboards/PDF reports, I can narrow this down to the best 2–3 platforms and estimate what the agency-level cost/workflow would look like.

One important distinction for your use case

You said "monitoring citations and attributions of our blog content."

I'd separate that into three different measurements:

1. Brand visibility

"Does ChatGPT mention Acme?"

Useful, but relatively superficial.

2. Citation visibility

"Does ChatGPT actually cite acme.com/blog/xyz as a source?"

This is probably your primary KPI.

3. Content-level attribution

"Which specific article, passage, statistic, author, or source is causing the AI engine to cite us?"

This is the really interesting one for a content marketing agency.

A lot of GEO platforms are better at #1 and #2 than #3. And that's where I'd be particularly careful during demos.

For example, you don't just want:

Acme cited 18% of the time

You want something closer to:

Prompt: "Best CRM for healthcare startups"
Engine: ChatGPT
Acme mentioned: Yes
Acme cited: Yes
Cited URL: /blog/best-crm-healthcare-startups/
Citation position: #2
Competitor citations: HubSpot, G2, Salesforce
First detected: June 4
Current: 23/100 runs
Change: +8 percentage points

That data becomes actionable for your writers and SEO team.

I'd actually run a 2-tool evaluation

Before signing an agency-wide contract, I'd put Peec + Profound through the same test.

Take ~50 real questions for one client:

• 15 informational
• 15 commercial investigation
• 10 comparison
• 10 "best X" / recommendation queries

Then compare the platforms on:

1. Citation accuracy
2. Exact URL identification
3. Raw answer visibility
4. Citation history
5. Competitor/source analysis
6. Prompt management
7. Client workspaces
8. White-label reporting
9. API/export
10. Cost per client

I'd pay particular attention to #1–#4 because AI answers are nondeterministic. Two platforms can produce different visibility numbers simply because they're sampling different prompts/times/answers. That's a recognized issue in the category.

If your goal is specifically “which of our clients’ blog URLs are being cited/used by ChatGPT, Perplexity, Gemini, Google AI Overviews, etc., and how do we report that to clients?”, I’d narrow the field considerably.

My shortlist for a marketing agency

1. OtterlyAI — my default recommendation

OtterlyAI is probably the best fit if you're an agency managing multiple client content programs.

It tracks prompts across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude, and importantly, it doesn't stop at “was the brand mentioned?” It records the URLs that AI engines cited, including whether those URLs belong to you or a competitor. Otterly Otterly AI

That makes it useful for the exact workflow I'd want an agency to have:

Client → target prompts → AI answers → cited URLs → client's cited URLs → competitor cited URLs → content opportunity

It also has reporting/export capabilities and an API, which matters if you're eventually building this into your agency's reporting stack. Otterly Otterly

otterly.ai

2. Peec AI — particularly compelling for content attribution

Peec AI has one feature I'd pay particular attention to: it distinguishes between content being “used” by an AI system and a URL being explicitly “cited.”

That's a valuable distinction for your use case. A blog article might influence an answer without appearing as a clickable citation, while another article may actually be displayed as a source. Peec says it can analyze source usage at both domain and individual URL level. Peec AI

Its agency offering also supports multiple clients, white-labeled reporting, weekly dashboards and competitive analysis. Peec AI

peec.ai

3. Scrunch — strongest if you want a broader AI intelligence platform

Scrunch is interesting because it goes beyond citation monitoring into AI referral traffic, AI bot traffic, trends and diagnostics.

It currently monitors nine platforms, including ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and Meta AI. Scrunch Help Center

Its citation reporting can be drilled down from domain → individual URL → prompt, which is exactly the granularity I'd want for determining which blog posts are actually earning citations. Scrunch Help Center

scrunch.com

4. Profound — consider this for enterprise clients

Profound is more of an enterprise-grade AEO/GEO intelligence platform. Its Answer Engine Insights product analyzes prompts run against answer engines and measures visibility, citations, sentiment, share of voice and positioning. Profound Knowledge Base

I'd put it on the shortlist if you're managing sophisticated national/enterprise brands rather than primarily SMB content marketing.

tryprofound.com

What I'd actually measure for your agency

I'd avoid making “AI mentions” the primary KPI. For a content agency, I'd build the reporting around five metrics:

1. Citation rate — % of relevant AI answers that cite the client's domain.
2. URL citation rate — which specific blog posts are being cited.
3. Citation share vs. competitors — e.g. client gets 18% of citations while competitor A gets 31%.
4. Prompt coverage — % of strategically important questions where the client appears.
5. Citation → traffic/conversion — whether AI citations are ultimately generating visits and leads.

The second metric is particularly important. Knowing that “Acme is visible in ChatGPT” isn't nearly as useful as knowing that /blog/how-to-choose-a-crm/ was cited 47 times this month, while /blog/crm-guide/ was never cited.

That's the bridge between AI visibility monitoring and actual content strategy.

My recommendation

For a marketing agency, I'd demo OtterlyAI + Peec AI + Scrunch side-by-side.

If you want one platform today, I'd start with OtterlyAI because it has the combination of multi-engine coverage, URL-level citation tracking, competitor analysis, daily monitoring, reporting and API access. Otterly Otterly AI

If your differentiator is specifically “we can prove which client content is being used/cited by generative engines”, I'd give Peec AI a particularly close look because its used-vs-cited distinction maps unusually well to that proposition. Peec AI

One important caveat: AI citations are volatile. Recent changes in ChatGPT's source-selection behavior have caused large shifts in which sites get cited, so I'd treat citation data as a longitudinal trend rather than promising clients a fixed citation count. businessinsider.com

If you tell me roughly how many clients/blogs you manage (e.g. 10, 50, 200+) and whether you need white-label reporting, I can narrow this down to the best 1–2 options and compare pricing, number of prompts, clients/projects, API access, citation-level data, and reporting.

Peec AI has one feature I'd pay particular attention to: it distinguishes between content being “used” by an AI system and a URL being explicitly “cited.”

That's a valuable distinction for your use case. A blog article might influence an answer without appearing as a clickable citation, while another article may actually be displayed as a source. Peec says it can analyze source usage at both domain and individual URL level. Peec AI

Its agency offering also supports multiple clients, white-labeled reporting, weekly dashboards and competitive analysis. Peec AI

peec.ai

3. Scrunch — strongest if you want a broader AI intelligence platform

Scrunch is interesting because it goes beyond citation monitoring into AI referral traffic, AI bot traffic, trends and diagnostics.

It currently monitors nine platforms, including ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and Meta AI. Scrunch Help Center

Its citation reporting can be drilled down from domain → individual URL → prompt, which is exactly the granularity I'd want for determining which blog posts are actually earning citations. Scrunch Help Center

scrunch.com

4. Profound — consider this for enterprise clients

Profound is more of an enterprise-grade AEO/GEO intelligence platform. Its Answer Engine Insights product analyzes prompts run against answer engines and measures visibility, citations, sentiment, share of voice and positioning.

I'd put it on the shortlist if you're managing sophisticated national/enterprise brands rather than primarily SMB content marketing.

If your goal is specifically “Which of our clients’ blog articles are being cited as sources inside ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, etc.?”, I’d shortlist these differently from a generic “AI visibility” tool.

My picks for a marketing agency

🥇 1. Peec AI — probably the best match

For an agency, Peec AI is the one I'd investigate first.

Its agency product is explicitly built around managing multiple clients: one account can contain multiple client projects, with branded/white-label reporting, automated reporting, CSV/API access, and Looker Studio integration. More importantly for your question, it distinguishes mentions from actual citations and shows which client pages are being cited. It currently tracks ChatGPT, Claude, Perplexity, Google AI Overviews, Google AI Mode, Gemini and Copilot. Peec AI

That distinction is critical.

For example, you want to be able to answer a client:

“Your brand appeared in 42 AI answers this month, but 7 of your actual blog URLs were cited 19 times, generating 12% of your citation share.”

That's substantially more useful than simply saying “your AI visibility score increased.”

Peec also exposes raw chats, sources and metrics through CSV/API, which is particularly useful if you're building your own agency reporting layer. Peec AI

Best for: agencies managing 5–100+ client brands and wanting to turn AI visibility into a recurring reporting/optimization service.

2. Profound — best if your clients are enterprise

Profound is the one I'd demo if your agency works with larger brands and the client wants serious research rather than just a dashboard.

It goes deeper into AI visibility and citation/source analysis and is positioned much more toward enterprise-scale monitoring. Current comparisons consistently put it at the high end of the market for breadth and depth. TechnologyAdvice Bloomiro

The tradeoff is that it can be overkill if your agency primarily needs:

• client-by-client monitoring
• weekly/monthly reports
• “which articles got cited?”
• competitor comparisons
• straightforward optimization recommendations

For that, I'd lean Peec.

3. Otterly — best inexpensive way to start

Otterly.ai is attractive if you want to test the service before committing significant budget.

It's one of the more affordable dedicated AI visibility trackers, with published pricing starting around $29/month, and it monitors major AI search surfaces. Current comparisons particularly position it as a good choice for smaller teams and agencies that want transparent pricing. TechnologyAdvice UX Continuum

I'd choose Otterly if you're saying:

“We have 5–10 clients and want to prove that AI citation monitoring can become a billable service.”

I'd choose Peec if you're saying:

“We already know this is going to become part of our agency reporting and need a scalable client workflow.”

One important distinction: citation monitoring ≠ AI traffic attribution

There are actually three different things you may want to measure:

1. Mention visibility

Does ChatGPT/Gemini/etc. mention the client's brand?

2. Citation attribution

Does the answer link to your client's specific blog post/URL as a source?

3. Traffic/revenue attribution

Did that AI answer subsequently send someone to the client's site, and did that visitor convert?

Most AI visibility products are strongest at #1 and #2. #3 is considerably harder.

Peec is interesting here because its agency offering explicitly discusses joining AI visibility data with analytics/funnel data and exposing the underlying AI-origin traffic. Peec AI

What I'd actually buy for an agency

I'd structure the stack like this:

Peec AI + GA4/Search Console + your existing SEO platform

Then make the agency's monthly AI report something like:

Client AI Visibility Report

• AI answer visibility: 34% → 41%
• Brand mentions: 127 → 164
• Citations: 43 → 71
• Client URLs cited: 18
• Top cited articles: - /best-x-for-y/ — 17 citations
• /ultimate-guide-to-z/ — 11
• /comparison-a-vs-b/ — 8
• Citation sources: Reddit, industry publications, client's own blog, etc.
• Competitor citation share: Client 23% vs. Competitor A 31%
• New opportunities: 14 buyer questions where competitors are cited but client isn't
• AI-referred traffic/conversions: from analytics

That turns “AI SEO” from a vague consulting deliverable into something you can put into a monthly retainer.

My ranking for your use case

If I were running the agency:

1. Peec AI — best overall agency fit
2. Profound — best for enterprise/deep intelligence
3. Otterly — best budget entry point
4. Scrunch — worth evaluating if you want agent/crawler optimization in addition to monitoring
5. Semrush — best if you already live inside Semrush and don't want another platform

One caveat: this category is changing extremely quickly in 2026, so I would not choose based on the number of “AI engines supported.” The more important demo question is: “Show me every specific URL from my client's site that was cited in an AI answer, the exact prompt, engine, date, competitor sources, and whether the citation changed over time.” That's the capability that actually matters for a content agency. getplug.ai

Peec AI + GA4/Search Console + your existing SEO platform

“We already know this is going to become part of our agency reporting and need a scalable client workflow.”

One important distinction: citation monitoring ≠ AI traffic attribution

2. Profound — best if your clients are enterprise

Profound is the one I'd demo if your agency works with larger brands and the client wants serious research rather than just a dashboard.

It goes deeper into AI visibility and citation/source analysis and is positioned much more toward enterprise-scale monitoring. Current comparisons consistently put it at the high end of the market for breadth and depth.

The tradeoff is that it can be overkill if your agency primarily needs:

If your agency wants to monitor which blog articles are actually being cited/linked inside ChatGPT, Perplexity, Gemini, Google AI Overviews, etc., I’d prioritize tools that expose source-level citation data, not just “brand mentioned / not mentioned.”

My shortlist

Current industry comparisons similarly put Profound, Otterly, Scrunch, Ahrefs, Peec and Semrush among the leading AI-search monitoring platforms. TechnologyAdvice Omnicite

🥇 My pick: Profound

tryprofound.com

For an agency, I'd look at Profound first if the goal is to build a serious client-facing GEO/AEO reporting service.

It goes beyond counting brand mentions: its platform covers AI visibility, source citations, sentiment, prompt demand and AI crawler/agent analytics. That's particularly useful when the question isn't merely “Did the client's brand appear?” but:

“Which publications and pages are AI engines using to construct the answer, and where does our client's content fit into that source set?”

Current third-party comparisons rate Profound as the strongest overall platform for enterprise-level AI visibility monitoring. TechnologyAdvice Alkali

Best if: you're going to sell GEO monitoring as an ongoing agency service.

🥈 Peec AI — probably the sweet spot for an agency

peec.ai

I'd put Peec AI very high on your evaluation list if you're managing multiple clients but don't necessarily need an enterprise platform.

It's particularly interesting for citation analysis, competitor comparison and multi-brand monitoring. Recent comparisons specifically identify it as a strong agency/mid-market option. Bloomiro StayFound

Best if: you want a dedicated GEO platform that your strategists can actually use across several accounts.

🥉 OtterlyAI — best place to start inexpensively

otterly.ai

Otterly is worth considering if you're testing whether clients will actually pay for this service before committing to a larger platform.

It covers major AI engines and provides prompt monitoring, AI-search analytics, citation/source information and content/AEO analysis. Current comparisons identify it specifically as a strong option for marketing teams and agencies. TechnologyAdvice ToolChase

Best if: you want to get 5–20 client accounts monitored without immediately buying an enterprise platform.

Don't overlook Ahrefs

ahrefs.com

If your agency already uses Ahrefs, I'd seriously evaluate Brand Radar before buying another platform.

This is actually closer to your stated use case than traditional rank tracking. Ahrefs now tracks:

• AI mentions
• AI citations
• cited pages/domains
• AI Share of Voice
• competitor visibility
• custom buyer prompts
• ChatGPT, Gemini, Perplexity, Copilot and Google's AI surfaces

Ahrefs says Brand Radar analyzes hundreds of millions of search-backed prompts and lets you identify the pages/domains being cited. Ahrefs Help Center Ahrefs

The distinction between mention and citation is important for your agency. A client might be mentioned in 100 AI answers but have its website actually linked in only a fraction of them. Ahrefs explicitly separates those metrics. Ahrefs Help Center

That makes it quite useful for reporting something like:

Client X's 47 blog articles generated 312 AI citations this month, up 28% MoM.

rather than:

“Client X has an AI visibility score of 73.”

The former is much easier to turn into a content strategy and client report.

The metric I'd build your service around

I wouldn't make “AI visibility” your primary KPI.

I'd create a hierarchy:

1. Citation rate
% of relevant AI answers that cite the client's domain.

2. Citation share
% of citations going to the client's content vs. competitors.

3. Cited URLs
Exactly which blog posts/articles are being cited.

4. Citation context
What claim is the AI using that article to substantiate?

5. Prompt/topic coverage
Which commercial questions does the client appear for?

6. Competitor displacement
Which competitor URLs are being cited instead?

7. AI referral traffic
Where measurable traffic actually reaches the client's site.

That last distinction matters. Being cited isn't necessarily the same as generating traffic. Research from Ahrefs, for example, found substantial variation in how often AI assistants actually link when mentioning brands. Ahrefs

For a marketing agency, I'd choose this stack

If I were setting this up for an agency today:

Core monitoring: Profound or Peec AI
→ prompt tracking + citations + competitors + engines

SEO/content intelligence: Ahrefs
→ organic rankings, backlinks, content performance, keyword demand

Analytics: GA4/Search Console
→ determine whether AI visibility eventually produces site activity

Then create a client dashboard showing:

AI prompts → AI answer → cited sources → client's cited articles → competitor cited articles → content opportunity

That's much more actionable than a generic GEO score.

One important caveat

Don't evaluate these platforms solely by the number of AI engines they claim to monitor. AI answers are probabilistic and change over time, so consistent prompt sampling and source-level evidence matter more than pretending there's an exact “Google rank” equivalent for ChatGPT. Ahrefs itself explicitly makes this distinction in its documentation. Ahrefs

If you tell me roughly how many clients/domains your agency manages (e.g. 10, 50, 200+) and your monthly budget, I can narrow this to the best 2–3 options and compare their agency pricing, API/reporting, white-label capabilities, citation granularity, and number of prompts.

If your agency’s specific goal is “Which of our clients’ blog articles are being cited or used as sources inside ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, etc.?”, I’d shortlist the market differently than if you just wanted generic “AI visibility.”

My picks for a marketing agency

1. Profound — my choice for a serious agency

tryprofound.com specifically tracks which sources AI answer engines pull from, how frequently your content and competitors' content are cited, and which sources are influential in a category. It also has source categorization and outreach intelligence. Profound

More importantly for an agency, Profound has an Agency Mode with multiple client workspaces and prospect/pitch environments. It also combines answer visibility with prompt-volume data and AI crawler analytics. Profound

I'd choose it if you're trying to build an actual AEO/GEO service line rather than simply adding another report to existing SEO retainers.

Particularly useful metrics:

• Client blog URL → number of AI citations
• Citation share vs competitors
• Which prompts generated the citation
• Which AI engines cited the article
• Which third-party sites are being cited instead
• Most influential publishers/domains in the category
• Changes in citation frequency over time

2. Peec AI — probably the sweet spot

peec.ai is especially interesting for what you're describing because it separates brand mentions from actual citations. It can show which client pages are cited versus merely having the brand mentioned. It also tracks citation position/sentiment and supports daily monitoring across multiple engines. Peec

That's an important distinction.

For example:

Client is mentioned in 42% of relevant ChatGPT answers.

isn't nearly as useful as:

Client's blog content was actually cited in 18% of relevant answers, with these 7 URLs accounting for 74% of citations.

The second tells your content team what to do next.

I'd lean toward Peec if you're managing perhaps 10–50 brands and want something your strategists can actually use without buying into an enormous enterprise platform.

3. OtterlyAI — best place to start cheaply

otterly.ai tracks brand mentions and website citations across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini and Copilot, alongside prompt research and reporting. Otterly

It's considerably easier to justify if you're experimenting with AEO for clients rather than already selling a substantial AEO program.

Current third-party comparisons put its entry pricing around $29/month, although pricing/features can vary by engine and plan. ToolChase Marqeable

One important distinction

I'd divide your requirement into three different things:

A. “Are we mentioned?”

Example:

“What are the best CRM platforms for small agencies?”

ChatGPT mentions HubSpot.

That's AI visibility / brand mention tracking.

B. “Are we cited?”

ChatGPT says:

HubSpot is a good option… [source: youragency.com/crm-guide]

That's citation tracking.

C. “Which of our content is actually earning those citations?”

You want:

/blog/crm-for-agencies/ — 37 citations
/blog/best-crm-for-small-business/ — 21 citations
/blog/crm-pricing-guide/ — 4 citations

And then ideally:

Why is /blog/crm-for-agencies/ being cited?
Competitors' cited pages contain original statistics, comparison tables, expert quotes, etc.

For a content marketing agency, C is the really valuable capability.

Profound and Peec are the two I'd investigate first for that reason. Profound is particularly strong if you want to go beyond monitoring into source/citation intelligence. Profound Profound

What I'd actually buy

If I were setting this up for an agency today:

Small agency / testing AEO:
→ OtterlyAI

Established content/SEO agency with 10–50 clients:
→ Peec AI

Large agency building a premium AEO/GEO offering:
→ Profound

Already paying heavily for Ahrefs/Semrush:
→ Evaluate their AI visibility products before adding another platform.

The broader 2026 market comparisons broadly agree on this segmentation: Profound tends toward enterprise/AEO depth, Peec toward analytics and mid-market teams, and Otterly toward accessible monitoring. Fifteenth Meridian TechnologyAdvice

One thing I'd test before signing anything

Don't evaluate these platforms using generic prompts like “best marketing agencies.”

Take 20–50 real prompts from one client's content strategy, such as:

• “best X for Y”
• “how to X”
• “X vs Y”
• “alternatives to X”
• “how much does X cost”
• “X for [industry]”
• informational questions your existing articles target

Then ask each vendor to show you the actual underlying answers and citations, not just an aggregate visibility score.

The killer question for the demo is:

“Show me every URL from our domain that was cited in AI answers over the last 30 days, the exact prompts that produced each citation, which engine cited it, and how that compares with our competitors.”

If a platform can't answer that cleanly, I wouldn't buy it for a content agency.

If you tell me roughly how many clients/sites you manage, monthly budget, and whether you need white-label client reporting, I can narrow this to the best 2–3 platforms and compare their current pricing/features specifically for an agency setup.

3. OtterlyAI — best place to start cheaply

otterly.ai tracks brand mentions and website citations across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini and Copilot, alongside prompt research and reporting. Otterly

It's considerably easier to justify if you're experimenting with AEO for clients rather than already selling a substantial AEO program.

Current third-party comparisons put its entry pricing around $29/month, although pricing/features can vary by engine and plan. ToolChase Marqeable

One important distinction

I'd divide your requirement into three different things:

A. “Are we mentioned?”

Example:

“What are the best CRM platforms for small agencies?”

ChatGPT mentions HubSpot.

That's AI visibility / brand mention tracking.

B. “Are we cited?”

ChatGPT says:

HubSpot is a good option… [source: youragency.com/crm-guide]

That's citation tracking.

C. “Which of our content is actually earning those citations?”

You want:

/blog/crm-for-agencies/ — 37 citations
/blog/best-crm-for-small-business/ — 21 citations
/blog/crm-pricing-guide/ — 4 citations

And then ideally:

Why is /blog/crm-for-agencies/ being cited?
Competitors' cited pages contain original statistics, comparison tables, expert quotes, etc.

For a content marketing agency, C is the really valuable capability.

Profound and Peec are the two I'd investigate first for that reason. Profound is particularly strong if you want to go beyond monitoring into source/citation intelligence. Profound Profound

What I'd actually buy

If I were setting this up for an agency today:

Small agency / testing AEO:
→ OtterlyAI

Established content/SEO agency with 10–50 clients:
→ Peec AI

Large agency building a premium AEO/GEO offering:
→ Profound

Already paying heavily for Ahrefs/Semrush:
→ Evaluate their AI visibility products before adding another platform.

The broader 2026 market comparisons broadly agree on this segmentation: Profound tends toward enterprise/AEO depth, Peec toward analytics and mid-market teams, and Otterly toward accessible monitoring. fifteenthmeridian.com technologyadvice.com

One thing I'd test before signing anything

Don't evaluate these platforms using generic prompts like “best marketing agencies.”

Take 20–50 real prompts from one client's content strategy, such as:

If you're a marketing agency monitoring clients' blog content inside generative answer engines, I’d prioritize tools that track actual cited URLs, not just whether the brand was mentioned.

The market has matured quite a bit in 2026, and the strongest options I'd shortlist are Profound, Peec AI, Scrunch AI, Otterly.AI, and Ahrefs Brand Radar. Current comparisons agree that the core feature set is increasingly similar; the real differences are agency workflow, depth of citation analytics, engine coverage, reporting, and what you can do after finding a citation gap. Writesonic MentionsAPI

My shortlist for an agency

1. Profound — my top pick

If your agency is serious about selling GEO/AEO as an ongoing service, I'd start here.

Profound is particularly strong for understanding:

• Which prompts produce a client's brand
• Which URLs get cited
• Which competitors are cited instead
• Citation/share-of-voice trends
• Which answer engines are driving visibility
• Changes over time
• Enterprise/multi-client reporting

Current comparisons put Profound at the top for analytics depth and enterprise maturity, with coverage extending across major answer engines. Writesonic Marqeable

Why I'd choose it for an agency: you're not merely asking "does our client appear in ChatGPT?" You're trying to answer a much more valuable question:

"Which of our client's content assets are being used as evidence by AI, for which buyer questions, and how does that compare with competitors?"

That's the dataset I'd want for client reporting and strategy.

2. Peec AI — probably the sweet spot

I'd seriously evaluate Peec if Profound feels like overkill.

It's particularly attractive for marketing teams because the interface focuses heavily on visibility, competitors, prompts, citations, and trends rather than trying to become an entire content-production platform.

Recent comparisons characterize Peec as a strong mid-market option with granular analytics and agency-oriented functionality. MentionsAPI AnswerManiac

For a 5–30 client agency, this may actually be my preferred starting point.

3. Scrunch AI — interesting if you're selling more than reporting

Scrunch gets interesting because it goes beyond conventional AI-visibility monitoring into agent-facing content and crawler/agent analytics.

That matters if your agency's offering is becoming:

SEO → GEO → AI-agent optimization

rather than simply producing a monthly "AI visibility score."

It also has agency/multi-brand positioning and white-label capabilities. Baarely Prism News

I'd put this high on the evaluation list if you want to eventually tell clients:

"Here's what AI engines cite, here's why, here's what we're changing, and here's how AI agents are interacting with your site."

4. Otterly.AI — best way to get started cheaply

Otterly is compelling if you want to prove the service before committing significant software spend.

It tracks major surfaces including ChatGPT, Google AI Overviews, Perplexity and Copilot, with additional engines available at higher tiers. It also has page-level auditing. Baarely UX Continuum

The downside for an agency is reporting/white-label depth. Current comparisons note that Otterly doesn't provide native white-label reporting in the same way some agency-oriented competitors do. Baarely

So I'd use it for:

"Let's monitor 10 clients and figure out whether this service has commercial value."

Not necessarily:

"Let's build our flagship $3,000/month GEO reporting service around this."

5. Ahrefs Brand Radar — great if Ahrefs is already your source of truth

If your agency already runs heavily on Ahrefs, Brand Radar deserves consideration.

The attraction is less about being the absolute best standalone GEO platform and more about having traditional SEO research + AI visibility/citation research in the same ecosystem.

Recent comparisons put Ahrefs particularly high for research breadth and data scale, while noting that it is less focused on execution than dedicated GEO platforms. Writesonic

The feature I'd be most careful about

Don't buy based on "AI visibility score."

For your use case, I'd make vendors demonstrate this workflow:

Client → blog URL → target prompts → AI answer → cited sources → cited URL → competitor cited URL → historical change

You want to know, for example:

Client's article: /best-crm-for-small-business/

Then:

• Prompt: "What are the best CRMs for a 20-person company?"
• ChatGPT: cites client
• Perplexity: cites competitor
• Gemini: doesn't cite client
• Google AI Overview: cites client
• Client URL cited: /best-crm-for-small-business/
• Competitor URL cited: /crm-comparison/
• Citation frequency: 18% → 31%
• Citation share vs competitors: 4th → 2nd

That's actionable GEO data.

A generic "AI visibility = 72" isn't.

This distinction matters because AI citation behavior is volatile: recent research, for example, found substantial changes in which domains ChatGPT cited over just a few weeks. Axios

One more thing: monitor citations and attribution separately

I'd actually define your agency reporting around four metrics:

1. Mention rate — how often the client is mentioned.
2. Citation rate — how often the client's site is actually used as a source.
3. Cited-page distribution — which blog articles/pages are earning those citations.
4. AI-referred traffic/conversions — whether those citations ultimately produce business.

That last one is important. A client can have excellent AI visibility while generating almost no measurable traffic, and conversely a relatively small number of citations can be extremely valuable.

The current tooling category increasingly distinguishes visibility measurement from actual traffic attribution, which is exactly the distinction I'd make in an agency dashboard. PickMySoft

What I'd buy

If you're a serious established agency:
Profound

If you're a mid-sized agency and want the best balance of capability/cost:
Peec AI

If you're building a differentiated GEO + AI-agent service:
Scrunch AI

If you're testing the service with a modest number of clients:
Otterly.AI

If you're already deeply invested in Ahrefs:
Ahrefs Brand Radar

And I would not make the decision based purely on number of LLMs tracked. The important question is whether the platform lets you export prompt → answer → citation → URL → competitor → historical trend at the granularity you need for client reporting. Current industry comparisons increasingly make the same point: basic tracking is becoming commoditized; the differentiator is what you can do with the resulting data. Writesonic

If you tell me roughly how many clients you manage (e.g. 10, 50, 200+) and whether you want white-label client dashboards, I can narrow this to the 2–3 platforms I'd actually demo, including current pricing and agency-specific limitations.

rather than simply producing a monthly "AI visibility score."

It also has agency/multi-brand positioning and white-label capabilities. Baarely Prism News

I'd put this high on the evaluation list if you want to eventually tell clients:

"Here's what AI engines cite, here's why, here's what we're changing, and here's how AI agents are interacting with your site."

4. Otterly.AI — best way to get started cheaply

Otterly is compelling if you want to prove the service before committing significant software spend.

It tracks major surfaces including ChatGPT, Google AI Overviews, Perplexity and Copilot, with additional engines available at higher tiers. It also has page-level auditing. Baarely UX Continuum

The downside for an agency is reporting/white-label depth. Current comparisons note that Otterly doesn't provide native white-label reporting in the same way some agency-oriented competitors do. Baarely

So I'd use it for:

"Let's monitor 10 clients and figure out whether this service has commercial value."

Not necessarily:

"Let's build our flagship $3,000/month GEO reporting service around this."

5. Ahrefs Brand Radar — great if Ahrefs is already your source of truth

If your agency already runs heavily on Ahrefs, Brand Radar deserves consideration.

The attraction is less about being the absolute best standalone GEO platform and more about having traditional SEO research + AI visibility/citation research in the same ecosystem.

Recent comparisons put Ahrefs particularly high for research breadth and data scale, while noting that it is less focused on execution than dedicated GEO platforms. Writesonic

The feature I'd be most careful about

Don't buy based on "AI visibility score."

For your use case, I'd make vendors demonstrate this workflow:

Client → blog URL → target prompts → AI answer → cited sources → cited URL → competitor cited URL → historical change

You want to know, for example:

Client's article: /best-crm-for-small-business/

Then:

• Prompt: "What are the best CRMs for a 20-person company?"
• ChatGPT: cites client
• Perplexity: cites competitor
• Gemini: doesn't cite client
• Google AI Overview: cites client
• Client URL cited: /best-crm-for-small-business/
• Competitor URL cited: /crm-comparison/
• Citation frequency: 18% → 31%
• Citation share vs competitors: 4th → 2nd

That's actionable GEO data.

A generic "AI visibility = 72" isn't.

This distinction matters because AI citation behavior is volatile: recent research, for example, found substantial changes in which domains ChatGPT cited over just a few weeks.

One more thing: monitor citations and attribution separately

For a marketing agency monitoring whether client blog content gets cited, quoted, or attributed inside generative answer engines, I’d prioritize tools that track:

• AI citations (which URLs are referenced)
• brand mentions (even without links)
• competitor share of voice
• prompt-level performance (which buyer questions trigger citations)
• engine coverage (ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, Copilot)
• agency reporting / white-labeling

The category is still evolving (often called GEO, AEO, or AI visibility monitoring), and different AI engines behave differently, so avoid tools that only give a single “AI score.” 1Digital® Agency AuditAE

Best options for an agency

My shortlist by agency type

If you manage 20–200 client accounts

I’d look first at:

1. Semrush + dedicated AI visibility tool

• Best if clients already buy SEO retainers.
• Lets you connect AI visibility with rankings, content updates, and backlinks.
• Citations.io or AI Citation Monitor

• Better if your deliverable is specifically “AI presence reporting.”
• Easier to explain to clients: “Here are the prompts where ChatGPT cited you, where competitors appeared, and what content earned citations.” AI Citation Monitor Citations.io
• Ahrefs Brand Radar

• Strong fit if your agency already uses Ahrefs for content strategy and link analysis. Ahrefs

If you serve enterprise brands

Consider:

• Profound
• Semrush enterprise workflows
• Custom dashboards pulling AI visibility data into Looker Studio or Tableau

Enterprise clients usually care less about a score and more about:

• “Which revenue-driving questions are we winning?”
• “Which competitors are being recommended instead?”
• “Which owned pages are being cited?”
• “What content should we create next?”

Metrics I would put in an agency client report

Avoid only reporting “AI visibility score.” Include:

• Citation rate

• % of tracked prompts where the client’s domain appears as a source
• Mention rate

• % of answers where the brand is named
• Share of AI answers

• Client vs competitors
• Top cited pages

• Which blog posts/docs/resources are earning citations
• Citation gaps

• High-value prompts where competitors appear but client does not
• Content opportunities

• Pages to update or create based on missing citations

A practical agency stack

A strong setup would be:

• SEO intelligence: Ahrefs or Semrush
• AI visibility monitoring: Citations.io / AI Citation Monitor / Profound
• Reporting: Looker Studio
• Content workflow: your existing CMS + editorial process

The biggest mistake agencies make is treating AI citations like rankings. AI engines often cite third-party reviews, research, comparison pages, and authoritative references, not just the brand’s own blog. Tracking only your own URLs misses part of the picture. AuditAE Foglift

For a marketing agency, I’d generally start with Citations.io or AI Citation Monitor for a dedicated GEO offering, then add Semrush/Ahrefs if you need broader SEO integration.

If your goal is specifically monitoring which agency-client blog articles get cited/linked inside generative answers, rather than just tracking whether the brand is mentioned, I’d shortlist these:

🥇 I'd start with OtterlyAI

For your use case, Otterly is particularly compelling because it explicitly tracks the actual URLs cited in AI answers, not merely brand mentions. Its analytics can show which pages get cited, whether competitors' pages are cited instead, citation positions, and trends over time. otterly.ai

It currently covers ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot, and Claude, with country/language monitoring as well. help.otterly.aiotterly.aihelp.otterly.aiwww.tryprofound.com

That maps very closely to an agency workflow:

Client → target prompts → AI answers → cited URLs → client content attribution → competitor citations → content recommendations

It also has agency-specific functionality, including automated reporting, multiple brand reports, prompt monitoring, and citation tracking. otterly.ai

One particularly useful distinction: Otterly says it collects responses through the public AI interfaces rather than relying exclusively on APIs, because API responses can differ from what users actually see. help.otterly.ai

🥈 Profound if citation intelligence is the centerpiece

I'd look closely at Profound if you're building a more sophisticated GEO/AEO service rather than simply adding an AI-search report to your SEO retainer.

Profound's citation product lets you see which answer engines cite your content, how frequently, across which prompts, what kinds of sources are being cited, and which publishers/authors are driving citations. www.tryprofound.com

That's potentially more valuable for an agency because you can turn the data into a content/PR strategy:

"Google's AI answers cite these 12 publications in this category. Our client's blog is rarely cited. Here are the topics and source types we need to build."

Profound also emphasizes custom/real-world prompts and daily runs, rather than simply giving you a static visibility score. www.tryprofound.com

What I'd actually evaluate in a demo

Don't let vendors sell you on a generic "AI visibility score." For a content agency, I'd ask each vendor to demonstrate these five things:

1. URL-level attribution

Can I see that /blog/best-x was cited, rather than merely "Acme was mentioned"?

2. Prompt → answer → citation chain

Can I inspect the exact prompt, generated answer, cited sources and position of our client's URL?

3. Historical attribution

Can I show a client that Article A went from 0 citations → 14 citations over six months?

4. Competitive citation gaps

"Competitor X is cited on 38 prompts where our client's content isn't." This is much more actionable than a visibility score.

5. Agency reporting/API

Can I create separate client workspaces/reports and push the data into Looker Studio or your own reporting stack?

Otterly checks particularly well on #1–5; it offers reporting exports, an API/MCP layer, and a Looker Studio connector. otterly.ai

One important caveat

"Cited" is not necessarily the same thing as "influenced the answer."

An AI engine may cite a blog because it contains supporting information, while the underlying answer was influenced by many other sources. Conversely, a piece of content can influence an answer without receiving an explicit link.

So I'd measure at least four separate KPIs:

• Brand mentions
• Domain citations
• Individual URL citations
• Citation share vs. competitors

Then layer prompt coverage / share of voice on top.

For an agency, that gives you a much better client story than simply saying "your AI visibility score increased 17%."

My recommendation: demo Otterly + Profound + Scrunch with the same 50–100 client prompts and the same 10–20 competitors. Don't compare their marketing pages—compare how well each one answers "Which of our published articles did ChatGPT/Perplexity/Google actually cite, for which questions, and how did that change?"

If you tell me roughly how many clients, domains, and prompts you need to monitor per month, I can narrow this down to the best platform and likely pricing tier for an agency.

Yes. For a marketing agency monitoring whether clients’ blog content is actually being cited inside AI-generated answers, I’d narrow the field considerably.

My shortlist

1. Peec AI — my pick for an agency

This is probably the closest match to what you're describing.

Peec explicitly supports multi-client agency workflows, white-labeled weekly reporting, competitor gap analysis, CSV/API access, and Looker Studio. More importantly, it distinguishes mentions from actual citations and tracks which client pages/domains are being cited. peec.ai

It currently tracks ChatGPT, Claude, Perplexity, Google AI Overviews, Google AI Mode, Gemini and Microsoft Copilot, with metrics including mention rate, position, citations and sentiment. peec.ai

For your use case, I'd particularly like its ability to answer:

"Which of our client's blog URLs are being cited by AI engines, for which prompts, and how is that changing over time?"

That's much more useful than simply asking "Is our client mentioned?"

2. OtterlyAI — best value

Otterly has become particularly interesting for this exact use case. Its current platform tracks citations at the domain and URL level, including which URLs are cited and changes in their citation position over time. It also covers ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude. otterly.ai

Its newer citation reporting specifically focuses on identifying the URLs influencing AI answers, including "winners and losers" and detailed citation views. otterly.ai

The big advantage is price: its entry point is reported at $29/month, versus considerably higher costs for some enterprise platforms. otterly.ai

I'd seriously consider this if you want to put every client into a monitoring program rather than only tracking your biggest accounts.

3. Profound — enterprise option

Profound is where I'd look if your agency has large enterprise clients and wants a much deeper AEO/GEO intelligence platform, rather than primarily a reporting dashboard.

It's generally positioned toward enterprise-grade AI visibility, competitive intelligence and citation analysis. Current comparisons put it at a substantially higher price point than Peec/Otterly. citationdesk.com

I'd demo it if your agency needs to answer questions such as:

• What sources are influencing AI answers for this category?
• Which competitors are consistently being cited?
• Which publishers are disproportionately influential?
• What topics/questions are we winning or losing?
• Which content should the client create or update?

4. Semrush — if you're already a Semrush shop

Semrush's AI Visibility Toolkit is compelling if you don't want another standalone platform.

It combines AI visibility with the rest of your SEO workflow and currently covers ChatGPT, Perplexity, Gemini and Google's AI surfaces. Reports include visibility, prompts, competitors and AI-search site auditing. www.citationhawk.com

The downside is that I wouldn't choose it specifically for citation intelligence if you aren't already deeply invested in Semrush. Dedicated platforms are more focused on the AI-answer problem.

The important distinction for your agency

I'd avoid buying a tool just because it reports "AI mentions."

You actually want four separate measurements:

1. Brand mention

Does ChatGPT mention Client X?

2. Citation

Does the AI answer actually link to Client X's website?

3. Content-level citation

Which specific blog post/URL is being cited?

4. Competitive citation intelligence

When the client's article isn't cited, whose article is?

That last two are where the agency value really lives.

For example, you want a report that can eventually say:

Client: Acme Financial
Prompt: "Best ways to reduce business taxes in Canada"
AI engine: ChatGPT
Our visibility: #3
Cited URL: /blog/business-tax-strategies
Competitor cited: Competitor.com /tax-guide-2026
Citation change: +2 positions MoM

That becomes actionable for your content team.

What I'd buy

If I were setting this up for an agency today:

🥇 Peec AI → primary agency platform
🥈 OtterlyAI → lower-cost alternative / potentially run alongside it during evaluation
🥉 Profound → enterprise clients where the intelligence justifies the price

There's also a rapidly expanding category of newer platforms—Rankscale, Scrunch, AthenaHQ, CitationDesk, etc.—but I wouldn't start by evaluating 15 tools. Current comparisons show the market is already splitting between lightweight monitoring products and much more comprehensive GEO/AEO platforms. citationdesk.com

One thing I'd do before signing: take 3 real client blogs + 20–30 actual buyer prompts and run the same test through Peec, Otterly and Profound. Don't compare dashboards. Compare whether they correctly identify the cited URL, citation frequency, competing URLs, and changes over 30 days. That's the metric that will tell you which platform is genuinely useful for your agency.

For a marketing agency managing multiple clients, you’ll want a tool that does more than track brand mentions. The important capabilities are:

• Citation/source tracking — which URLs, articles, and domains AI engines cite
• Prompt monitoring — what customer questions trigger mentions
• Competitive share of voice — whether competitors are being cited instead
• Client-ready reporting — dashboards, exports, scheduled reports
• Coverage across ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, Copilot, etc. TechnologyAdvice

The category is often called AI visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization). HubSpot

Best options for an agency

My shortlist by agency size

Small agency (5–20 clients)

Pick:

1. Otterly.ai
2. Peec AI
3. Semrush AI visibility features

You’ll get enough tracking to show clients:

• “Your blog was cited in X AI answers”
• “Competitor Y appears more often for these prompts”
• “These pages are earning citations”

Mid-size agency (20–100 clients)

Pick:

1. Profound
2. Otterly.ai
3. Semrush

You’ll likely need:

• multiple workspaces
• client dashboards
• scheduled reports
• historical tracking
• competitor benchmarking

Enterprise agency / PR + SEO agency

Pick:

1. Profound
2. A custom data layer/API approach
3. Semrush/Ahrefs + dedicated AI visibility platform

Enterprise clients usually care less about “mentions” and more about:

• reputation
• category ownership
• whether AI systems recommend them
• which third-party sources influence answers

What I would measure for blog content specifically

For each client blog, create a monitoring set around:

Commercial prompts

• “best [category] companies”
• “how to choose [service]”
• “[problem] solutions”
• “[competitor] alternatives”

Citation metrics

• % of answers citing your blog
• citation URL frequency
• citation freshness (new vs old articles)
• competitor citation share
• AI engine differences

Content actions

• Which posts get cited
• Which posts are never referenced
• Which authoritative sources AI prefers instead

Recommended agency stack

A practical setup:

• AI visibility monitoring: Otterly.ai or Profound
• SEO/content intelligence: Semrush or Ahrefs
• Reporting: Looker Studio / client dashboards
• Content optimization: AirOps or internal editorial workflows

One thing to watch: AI citation data is still a moving target. Different tools may get different results because answer engines change frequently and sampling methods differ. Recent analysis of the space notes that GEO strategies and citation patterns can shift quickly, so avoid relying on a single metric or engine. Axios TechnologyAdvice

For a marketing agency, I’d generally start with Otterly.ai for client-scale monitoring and move to Profound when enterprise reporting and competitive intelligence become billable services. TechnologyAdvice AY Rank

Yes. For a marketing agency monitoring whether client blog content gets cited/attributed inside generative answer engines, I’d shortlist Otterly, Scrunch, Profound, and Peec—but they serve somewhat different agency models.

My ranking for an agency

Current comparisons show the market has matured considerably in 2026: these platforms now track not just mentions, but prompts, citations, competitors, source URLs and—in some cases—AI crawler activity. TechnologyAdvice UX Continuum

🥇 My pick: Otterly for most agencies

otterly.ai

I'd start here if you're managing multiple SMB/mid-market clients and want something that account managers and content strategists can actually use without becoming AI-search analysts.

It monitors ChatGPT, Perplexity, Google AI Overviews and Copilot, with Gemini, Claude and Google AI Mode available at higher/add-on levels. It also provides citation tracking, prompt monitoring, content audits and optimization recommendations. TechnologyAdvice Baarely

The particularly useful agency workflow is:

Client → target prompts → AI answers → cited sources → which client URLs get cited → competitors' cited URLs → content opportunities.

That is much more actionable than simply reporting "Client X was mentioned in ChatGPT 37% of the time."

Published pricing currently starts around $29/month, with higher tiers around $189 and $489/month, although I'd verify agency/white-label requirements before standardizing on it. TechnologyAdvice

Important caveat: Otterly reportedly doesn't have native white-label reporting, so an agency wanting fully branded client dashboards may need to use its Looker Studio integration or another reporting layer. Baarely

🥈 Scrunch if citation intelligence is the actual product you want to sell

scrunch.com

This is the one I'd investigate most seriously if your agency's proposition is something like:

"We don't just optimize your blog for Google—we monitor and improve how AI systems discover, interpret and cite your content."

Scrunch goes beyond prompt/mention tracking into citation analysis, AI crawler activity, competitor sources and technical diagnostics. It monitors major engines including ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews/AI Mode, Copilot, Grok and Meta AI. TechnologyAdvice

That's a significant distinction.

For example, you could potentially tell a client:

"Your article ranks well organically, but ChatGPT is citing three competitor articles instead. Here's exactly which sources it prefers and what those pages contain that yours doesn't."

That's a much stronger agency deliverable than an "AI visibility score."

Scrunch was acquired by Sitecore in June 2026, so I'd specifically ask about agency pricing, white-labeling, data ownership/export and roadmap stability before signing a long contract. Lyra

🥉 Profound for enterprise clients

tryprofound.com

If your agency works with large brands and has clients willing to pay for sophisticated AI-search intelligence, Profound is probably the platform I'd demo.

Its strength is depth: large-scale prompt monitoring, source/citation analysis, competitive intelligence and enterprise reporting. It's positioned considerably more toward enterprise than Otterly. TechnologyAdvice Bloomiro

I wouldn't buy it simply to answer "are our blog posts getting cited?" That's overkill for many agencies.

I'd buy it when you want to turn AI-search intelligence into a major strategic service line.

Peec is worth putting in the demo round

peec.ai

Peec is particularly interesting if your agency cares about analytics and benchmarking across many clients rather than technical AI-crawler analysis.

It's generally positioned between the inexpensive trackers and enterprise platforms, with coverage of multiple major AI engines and a strong visibility/citation analytics orientation. Baarely Omid Saffari

One thing I'd change about your evaluation criteria

Don't evaluate these tools primarily on "does it tell us when our brand is mentioned?"

For a content marketing agency, I'd score them on this instead:

1. Can it identify the exact URL being cited?
2. Can it distinguish a brand mention from an actual citation?
3. Can it show the citation's position/context in the answer?
4. Can we see which competitor URLs are being cited instead?
5. Can we track individual blog URLs over time?
6. Can we define our own client-specific prompts?
7. Can we track prompts by intent/topic/category?
8. Can we export the underlying citation data?
9. Can we white-label reports?
10. Can we compare multiple clients/accounts cleanly?
11. Can it show AI crawler activity in addition to answer citations?
12. Can we connect AI visibility changes to organic traffic/conversions?

That last one is particularly important. The industry still has a big gap between "AI cited our article" and "AI citation generated measurable business value." Most platforms are much better at measuring visibility than revenue attribution. Attrifast

What I'd do in your position

If you're a typical content/SEO agency: demo Otterly + Scrunch first.

If you're an enterprise agency: demo Scrunch + Profound.

If you're already deeply invested in an SEO suite: look at Semrush's AI Visibility Toolkit before adding another standalone platform. UX Continuum

And I'd run a real client pilot, rather than trusting vendor demos: take ~50 high-value prompts for 2–3 clients, run them across the engines, and ask each vendor to show you every cited URL, citation frequency, competitor sources, historical changes, exports, and client-ready reporting. That will expose the meaningful differences very quickly.

If you tell me roughly how many clients, blog URLs/prompts per client, and whether you need white-label reporting, I can narrow this to the best 2–3 options and estimate the monthly cost for your agency.

For a marketing agency monitoring whether clients’ blog content is being cited inside AI-generated answers, I’d narrow the field to Profound, Peec AI, and OtterlyAI. The important distinction is that you want URL-level citation tracking, not merely brand-mention monitoring.

My ranking for an agency

1. Profound — best if this becomes a serious agency service

Profound is probably my first choice if you're building "AI visibility/GEO" into your agency's client offering, rather than simply wanting another SEO dashboard.

Its citation product tracks which sources AI engines use, how often your content is cited, citation share versus competitors, and which publishers/pages are driving citations. www.tryprofound.com

More importantly for an agency, Profound has an Agency Mode with separate client workspaces and pitch environments, plus broader data around prompt volumes and AI-crawler activity. www.tryprofound.com

That's useful because you can answer a much more valuable client question:

"We published 25 articles. Which ones are actually being retrieved and cited by ChatGPT, Perplexity, Gemini, etc., and what other websites are taking those citations from us?"

I'd choose Profound if: you're selling GEO as a premium retainer and have enough clients/budget to justify enterprise-grade tooling.

2. Peec AI — probably the sweet spot for most agencies

Peec AI's agency platform is particularly interesting for your use case.

It explicitly separates mentions from citations—important because an AI can mention a company without actually linking/citing its content. It also tracks which client pages get cited and which don't, and supports daily monitoring across multiple AI environments. peec.ai

For an agency, I'd especially like its ability to organize monitoring around clients, prompts, competitors, citation rate, visibility, sentiment and trends rather than treating the whole thing as one giant domain-level score.

I'd choose Peec if: you're managing, say, 5–30 client brands and want a dedicated AI-search monitoring product without going all the way up to Profound's enterprise positioning.

3. OtterlyAI — best if volume and price matter

OtterlyAI is the one I'd test first if you want to roll this out across a lot of smaller clients.

It currently monitors ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot and Claude, and its citation reporting goes down to the domain and URL level. It also has an API, CSV export and Looker Studio connector. otterly.aiotterly.ai

That API/export capability is particularly interesting for an agency because you could potentially build your own client-facing reporting layer rather than making every client log into the vendor's dashboard.

Its current entry pricing is also much lower than the enterprise platforms. otterly.aiotterly.ai

I'd choose Otterly if: you're thinking "I want to monitor 30–100 client sites without spending enterprise-platform money."

One important distinction for your use case

I wouldn't make "How often is our brand mentioned?" the primary KPI.

I'd build your reporting around:

1. Citation rate
% of target AI answers that cite a client's domain.

2. Citation URLs
Exactly which blog posts/pages are being cited.

3. Citation position
Whether your client's URL is the first/primary source or citation #5 of 8.

4. Citation share
Your client's share of all citations versus competitors.

5. Prompt coverage
Which commercial/informational questions produce citations to your content.

6. Citation winners/losers
Which articles gained/lost AI citations month-over-month.

7. Competitor displacement
"Competitor X is cited for 38% of these questions; client is at 11%."

8. Third-party citation opportunities
Which publications, Reddit threads, directories, etc. are repeatedly being cited—and therefore might be useful for PR/link/content distribution.

That's where these platforms become much more valuable than simply saying "your brand appeared in ChatGPT 14% more this month."

What I'd do if I were running your agency

Test Peec + Otterly against the same 100–200 prompts for 2–4 weeks. Then compare:

• accuracy of citation detection
• URL-level reporting
• historical tracking
• prompt customization
• competitor analysis
• number of engines
• client workspaces
• white-label reporting
• API/export
• cost per client
• ease of producing a monthly client report

If you're already operating at enterprise scale, add Profound to that bake-off.

The market is still evolving quickly—independent 2026 comparisons broadly put Profound at the enterprise end, Peec in the agency/mid-market sweet spot, and Otterly as the lower-cost entry point. www.xseek.io

My practical recommendation: Peec for most agencies; Profound if GEO is becoming a major premium service; Otterly if you're optimizing heavily for cost/client and API-driven reporting.

If you tell me roughly how many client sites you manage (e.g. 10, 50, 200) and whether you need white-label client reporting, I can narrow this down to the best 1–2 options and compare their current pricing/features.

If your goal is specifically “Which of our clients’ blog articles are being cited inside ChatGPT, Perplexity, Gemini, Google AI Overviews, etc.?”, I’d narrow the field considerably. This is now usually called AI visibility / AEO / GEO tracking.

My shortlist for a marketing agency

Recent 2026 comparisons similarly put Profound, Scrunch, Otterly and Peec among the leading dedicated platforms, with the major distinction being how deeply they expose citations versus simply reporting brand mentions. technologyadvice.com

🥇 I'd start with Profound

For an agency, Profound is particularly interesting because you're not merely asking:

“Does Client X appear in ChatGPT?”

You want:

“For the 200 commercial questions we're targeting, which URLs are ChatGPT/Perplexity/Gemini citing, how frequently, which competitors are getting cited instead, and which of our blog posts are generating those citations?”

Profound combines AI visibility, source citations, prompt data, sentiment and crawler/agent analytics. Its agency offering also includes client workspaces and pitch environments. technologyadvice.com

That's much closer to what I'd want as the backbone of an agency's GEO reporting product.

🥈 Scrunch if the content itself is your focus

Scrunch is compelling if you're trying to connect:

client URL → AI crawler behavior → citation → AI referral

rather than just producing a visibility score.

It has citation analysis, AI traffic/crawler information and an Agent Experience Platform. That's useful if your agency wants to tell clients why particular pages are being surfaced, not merely whether their brand appeared. technologyadvice.com

🥉 Otterly if you want to roll this out across lots of smaller clients

This is probably the one I'd trial first if you're an agency with, say, 20–100 SMB/mid-market clients and don't want enterprise software pricing.

Otterly covers major engines including ChatGPT, Perplexity, Google AI Overviews and Copilot, and combines monitoring with content audits/GEO recommendations. Published pricing starts around $29/month, with higher tiers for substantially more prompts. technologyadvice.com

The tradeoff is that you're getting less of the deep enterprise-grade data infrastructure you'd get from Profound.

One important distinction

I'd not buy a tool merely because it says it tracks “AI mentions.”

For your use case, you want the tool to distinguish at least these four things:

1. Brand mention — “Acme is a good option.”
2. Brand recommendation — “I'd recommend Acme.”
3. Citation — the AI answer actually links to acme.com/blog/article.
4. Citation source — which specific article/page caused or supported the answer.

That last one is particularly important for an agency.

You could then produce a client report like:

AI Citation Performance — July

1,240 tracked buyer prompts
312 AI answers mentioning client
187 citations to client-owned content
43% of citations came from 12 blog articles
7 articles newly entered AI answers
23 competitor pages displaced
Top cited article: /blog/best-x-for-y

That's considerably more valuable than a generic “AI visibility score: 67.”

My recommendation by agency size

Starting / <$500/mo: Otterly or Peec
Growing agency / serious GEO service: Scrunch or Profound
Enterprise agency / hundreds of client accounts: Profound
Already heavily invested in Ahrefs: test Brand Radar before adding another subscription.

One caveat: no tracker can perfectly tell you that a particular article “caused” an AI answer. The engines are nondeterministic, and citation attribution is an observational measurement. The strongest platforms show the actual answer + cited URLs + prompt history, which is what you want for defensible client reporting. www.trylyra.ai

If you tell me roughly how many clients you manage, how many prompts/keywords per client, and your monthly software budget, I can narrow this to the best 2–3 options and compare their agency/white-label reporting, API access, number of prompts, engines, and likely monthly cost.

For a marketing agency monitoring whether clients’ blog content gets mentioned and cited inside AI-generated answers, I’d shortlist Peec AI, OtterlyAI, and Profound. They’re not quite interchangeable: the right choice depends on whether you care most about agency reporting, granular citation/source intelligence, or enterprise-scale analysis.

My ranking for an agency

1. Peec AI — my first choice for a marketing agency

Peec is particularly interesting because it explicitly targets brands and agencies. It tracks mentions and citations separately, including citation rate, average position, sentiment, and competitor performance. More importantly for an agency, it supports Looker Studio, CSV/API access, and client-facing reporting workflows. peec.ai

That distinction between mention vs. citation is important for your use case.

For example:

“Client X is mentioned in 42% of relevant ChatGPT answers.”

is useful, but:

“Client X's blog was actually cited in 17% of those answers, and these 8 URLs generated 71% of the citations.”

is much more actionable for a content team.

Peec specifically surfaces the pages being cited, which lets you connect AI visibility back to individual blog articles. peec.ai

I'd choose Peec if your agency wants to sell an ongoing “AI visibility/GEO” service to multiple clients.

2. OtterlyAI — probably the best price/performance option

Otterly is extremely strong for an agency that wants to monitor lots of prompts and clients without immediately moving into enterprise software.

It monitors prompts daily across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude, and reports both brand mentions and domain citations. help.otterly.aihelp.otterly.ai

A particularly useful feature is that you can drill into individual prompts and see the actual response and citation details rather than just getting an aggregate visibility score. help.otterly.aihelp.otterly.ai

It also has a public API capable of pulling brand mentions, domain citations, prompt results and share of voice, which is valuable if you want to pipe the data into Looker Studio, Power BI, BigQuery, etc. help.otterly.aipeec.ai

I'd pick Otterly over Peec if:

• you want to keep software costs down;
• you need broad engine coverage;
• you're comfortable building some of your own reporting;
• you want API/automation capabilities.

One interesting technical point: Otterly says it collects responses directly through the AI platforms' public web interfaces rather than relying primarily on APIs, because API responses can differ from what users actually see. help.otterly.ai

3. Profound — strongest if citation intelligence is the core product

Profound is the one I'd investigate if your agency is positioning itself as a serious GEO/AEO consultancy, rather than simply adding AI visibility reporting to SEO retainers.

Its citation product goes beyond “did we get cited?” and analyzes which sources AI engines use, how frequently you/competitors are cited, the type of source being used, and the authority of those sources. It also identifies publishers/authors driving citations in a category. www.tryprofound.compeec.ai

That's potentially much more valuable strategically.

For example, you could discover:

• Your client's blog is rarely cited.
• Competitor A's blog is cited frequently.
• But 60% of citations in the category come from 12 third-party publications.
• Therefore the client's GEO strategy should include digital PR/earned media, not just rewriting its blog.

That's a much more sophisticated service offering.

Profound also says it runs tracked prompts daily and captures answers directly from the browser rather than relying solely on API results. www.tryprofound.com

The metric I'd build your agency offering around

Don't make “AI mentions” the primary KPI.

I'd create a hierarchy like:

1. AI Visibility
→ How often does the client appear in relevant answers?

2. Citation Rate
→ How often is the client's domain actually linked/cited?

3. Content Citation Rate
→ Which specific client URLs are being cited?

4. Citation Share
→ What percentage of category citations go to the client vs. competitors?

5. Citation Quality
→ Which pages, publications and sources are influencing AI answers?

6. Answer Position
→ Is the client the #1 recommendation, #5 recommendation, or merely mentioned?

7. Trend
→ Are these metrics increasing after publishing/optimizing content?

That gives you a much better agency story than simply saying “your AI visibility score went from 38 to 44.”

One important caveat

These tools are measuring sampled AI responses, not an objective universal count of every answer generated for every user. AI answers vary by location, account, session, prompt wording, personalization, model version, etc. Otterly explicitly notes that its results are a neutral baseline and that individual users can receive different answers. help.otterly.ai

So I'd sell the measurement as “tracked AI visibility/citation share across a controlled prompt set”, rather than implying you can measure every AI answer on the internet.

What I'd do in your position

Start with Peec and Otterly head-to-head on 2–3 real clients for 30 days. Use the same 50–100 prompts in each and compare:

• URL-level citation accuracy
• citation history
• prompt-level response capture
• competitor analysis
• engine coverage
• location controls
• API/export quality
• Looker Studio integration
• number of client accounts/workspaces
• cost per client
• white-label/client reporting

Then consider Profound if you find that your clients want deeper “why are we being cited?” and competitive/source intelligence rather than just visibility reporting.

My likely agency stack: Peec for the core client reporting + your existing SEO/content analytics stack for traffic/conversions. Otterly is the alternative I'd test hardest on price. Profound is the upgrade path if GEO becomes a major standalone service. peec.ai

For a marketing agency monitoring client blog content inside generative answer engines, I’d shortlist these:

My pick: OtterlyAI

For your specific use case, I'd start with OtterlyAI.

It tracks website/domain citations separately from brand mentions, which is important for a content agency. You can see which specific URLs from your clients' blogs are being cited, rather than simply whether the client was mentioned. Its prompt-level reporting also lets you drill into the individual AI response and citation details. otterly.aipeec.ai

It currently monitors ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude, with daily monitoring. help.otterly.aiwww.tryprofound.comwww.openaitoolshub.org

That's a particularly useful setup for an agency because you can build a prompt set such as:

• "best accounting software for small businesses"
• "how to choose an accounting software"
• "accounting software for startups"
• "alternatives to X"
• "best X for [industry]"
• "how much does X cost?"

Then measure:

Prompt → AI answer → cited URLs → client's URL vs. competitor URLs

That is much more actionable than a generic "AI visibility score."

Peec AI is probably the strongest agency alternative

Peec AI is particularly interesting if you're managing a substantial number of clients. It explicitly positions itself around agency workflows: one account across clients, automated weekly reporting, white-labeled dashboards, competitor analysis, and tracking of mentions, position, citations and sentiment. peec.ai

I would seriously demo Peec alongside Otterly if client reporting is a major part of what you're selling.

Profound for bigger/enterprise clients

Profound is the one I'd investigate if your agency handles larger brands and wants to sell a more sophisticated AEO/GEO intelligence service.

Its citation tooling goes beyond counting citations: it categorizes the sources AI engines use, identifies publishers/authors that influence answers, and uses citation data to inform content strategy and outreach. www.tryprofound.com

That makes it especially interesting if your agency wants to answer:

"We're not being cited. Which third-party sites are getting cited instead, and where should our PR/content team get coverage?"

Scrunch is worth a demo for citation intelligence

Scrunch has a particularly strong citation-oriented model. Its citation interface lets you group cited URLs by domain or individual URL and investigate which pages are contributing to AI answers. scrunch.com

I'd put it on the shortlist if your agency cares about content-level attribution analysis, rather than just brand visibility.

What I'd evaluate in the demos

Don't let vendors win you over with a big "AI visibility score." For a content agency, I'd test these six things:

1. Can it identify the exact blog URL cited?
2. Can it distinguish your client's owned content from third-party citations?
3. Can it show the actual AI response and citation context?
4. Can you compare the client's URLs against competitor URLs?
5. Can you track hundreds/thousands of prompts across multiple clients?
6. Can you turn the data into client-ready/white-label reports?

The distinction between mention rate and citation rate is particularly important. A brand can be mentioned in an AI answer while the model cites someone else's article as the source. Peec explicitly tracks that distinction, and OtterlyAI exposes domain-citation counts at the prompt level. otterly.aipeec.ai

My ranking for a marketing agency

1. OtterlyAI — best overall
Best balance of citation depth, engine coverage, usability and agency practicality.

2. Peec AI — best agency workflow
I'd choose this over Otterly if white-label reporting and managing lots of clients are the priority.

3. Profound — best enterprise/AEO intelligence
Best if you're building a high-end GEO/AEO offering involving content strategy, competitive intelligence and digital PR.

4. Scrunch — best citation/source investigation
Very compelling if the central question is "What content is AI actually using to formulate these answers?"

One other consideration: if you're already heavily invested in Ahrefs or Semrush, I'd test their AI-visibility capabilities before adding another platform. But if citation/attribution of individual blog articles is the core requirement, I'd favor one of the dedicated platforms above rather than treating AI visibility as an add-on to traditional SEO. www.openaitoolshub.org

If you tell me roughly how many clients/blog URLs you need to monitor (e.g. 10 clients / 500 URLs) and whether you need white-label reporting + API access, I can narrow this to the best 2–3 and compare their current pricing/limits.

For a marketing agency monitoring whether client blog content is being cited or attributed inside generative answer engines (ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, etc.), you’re looking for GEO/AEO/AI visibility software, not traditional SEO rank trackers. The key capabilities are:

• Citation tracking: Which URLs are AI engines citing?
• Prompt monitoring: Which buyer questions trigger your client’s content?
• Competitor comparison: Who gets cited instead?
• Share of AI voice
• Client reporting / white labeling
• Recommendations for earning more citations www.citeflow.iotechnologyadvice.comwww.aeolabs.ai

My shortlist for an agency:

My recommendation by agency type

1. Boutique agency (5–30 clients)

• Start with Otterly.ai or Peec AI
• Build a repeatable monthly report:
  • tracked prompts
  • citation rate
  • cited URLs
  • competitor citations
  • content recommendations

2. Growth agency selling “AI search optimization” as a service

• Choose Peec AI + your SEO stack
• It is closer to a client-delivery workflow than a pure enterprise intelligence platform. www.citeflow.io

3. Enterprise marketing agency

• Choose Profound
• The value is less “does my blog appear?” and more:
  • “Which sources influence AI recommendations?”
  • “How are competitors winning citations?”
  • “What content gaps exist across thousands of prompts?” technologyadvice.comcloro.dev

What I would measure for blog content specifically

A good dashboard for clients should track:

1. Citation share
   • % of AI answers citing your client’s domain

2. Citation URL performance
   • Which blog posts get cited
   • Which posts never appear

3. Prompt-to-content mapping
   • Example:
     • Prompt: “best CRM for nonprofits”
     • AI citation: competitor article
     • Opportunity: update/create comparison article

4. Citation authority gaps
   • AI engines often cite third-party sources, not only brand-owned blogs, so monitor where competitors are earning mentions. www.aeolabs.ai

5. AI referral attribution
   • Connect AI visibility to analytics, leads, and pipeline where possible.

If I were building an agency GEO service today

I’d likely use:

• Peec AI or Otterly.ai → scalable client monitoring
• Semrush/Ahrefs → traditional SEO research
• GA4 + CRM reporting → revenue attribution
• Manual quarterly audits in ChatGPT/Perplexity/Gemini → quality control

The biggest mistake agencies make is reporting only “AI mentions.” A client will care more about “Our pricing guide was cited in 18% of purchase-intent AI answers this month” than a generic visibility score. www.aeolabs.ai

For a marketing agency monitoring whether client blog content gets cited, quoted, or used as a source inside generative answer engines (ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, etc.), you’re looking for GEO/AEO (Generative Engine Optimization / Answer Engine Optimization) monitoring, not just traditional SEO rank tracking. The strongest tools today focus on prompt tracking, citation discovery, competitor comparisons, and client reporting. technologyadvice.comauthoritytech.io

My shortlist for an agency:

My recommendation by agency type

1. Boutique/content marketing agency (5–50 clients)

• Start with OtterlyAI or Peec AI.
• Track:
  • 50–200 buyer prompts per client
  • Which client URLs are cited
  • Which competitors appear instead
  • Citation frequency over time

2. Enterprise SEO/content agency

• Use Profound or Scrunch AI.
• You’ll likely need:
  • Multi-brand dashboards
  • Historical trend data
  • Executive reporting
  • Citation attribution by URL
  • AI crawler visibility insights

3. Agency already invested in SEO suites

• Add Ahrefs Brand Radar or Semrush AI features rather than creating another reporting stack. toolchase.comwww.techradar.com

Features I would insist on before buying

For a blog-content attribution use case, make sure the platform can answer:

✅ “Which of our URLs were cited in ChatGPT answers?”
✅ “Which prompts caused the citation?”
✅ “Which competitor pages replaced us?”
✅ “Did our citation rate increase after publishing/updating content?”
✅ “Can we export white-label reports for clients?”
✅ “Can we separate brand mentions from actual source citations?”

A lot of tools measure mentions, but citations are more valuable for content agencies because they connect your editorial work to AI visibility. technologyadvice.comauthoritytech.io

If I were building an agency GEO reporting stack

I’d probably use:

• OtterlyAI or Peec AI → citation monitoring + client dashboards
• Ahrefs/Semrush → traditional SEO + authority signals
• Google Search Console + analytics → traffic validation
• A Looker Studio dashboard → client-facing monthly GEO reports

For most agencies, I’d test OtterlyAI vs Peec AI first, then move enterprise clients to Profound if they need deeper reporting. www.rankability.comtechnologyadvice.com

For a marketing agency monitoring whether client blog content gets cited or attributed inside generative answer engines (ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, Copilot), you’re looking for AEO/GEO/AI visibility software rather than traditional SEO rank trackers. The key capabilities are:

• Citation tracking: which URLs/domains AI engines cite
• Prompt tracking: whether target buyer questions trigger your client’s content
• Share of voice: client vs. competitors in AI answers
• Source attribution: whether the citation is your blog, another site, Reddit, publishers, directories, etc.
• Reporting: agency-friendly dashboards and exports www.citeflow.iotechnologyadvice.comwww.hubspot.com

My shortlist for an agency:

My recommendation by agency model

1. Boutique agency (5–25 clients, content/SEO retainers)

• Start with Otterly.ai or Peec AI
• Track 50–200 priority prompts per client
• Report:
  • % of prompts where client appears
  • % where client content is cited
  • competitor citation share
  • new pages earning citations

2. Enterprise B2B agency

• Use Profound
• Build executive reporting around:
  • AI share of voice
  • citation sources
  • category ownership
  • misinformation/hallucination monitoring www.citeflow.iotechnologyadvice.comwww.hubspot.com

3. Content marketing agency trying to prove blog ROI
Pair an AI visibility tool with analytics:

• AI citation gained → page update → organic/AI referral traffic → assisted conversions

A key distinction: AI mentions are not the same as citations. A model may mention a brand without linking to its content. For a blog/content agency, prioritize tools that expose the actual cited URLs and source domains, not just brand mentions. www.aeolabs.ai

A practical agency stack I’d consider

• Peec AI or Otterly.ai → client-facing monthly AI visibility reporting
• Semrush/Ahrefs → traditional SEO + content intelligence
• GA4 + CRM data → prove business impact
• Manual quarterly prompt audits → validate what automated tools miss

One caution: this market is changing quickly, and many platforms are still imperfect because AI answers vary between runs. The best tools are the ones that repeatedly run a controlled prompt set and preserve historical answer/citation data rather than taking occasional snapshots. aeovision.ai

For a marketing agency specifically, I’d probably shortlist:

1. Otterly.ai — best value/agency workflow
2. Peec AI — best mid-market scaling option
3. Profound — best premium enterprise offering

www.hubspot.com

If your agency’s goal is specifically “which of our clients’ blog URLs are being cited inside ChatGPT/Perplexity/Gemini/Google AI answers, for which prompts, and how is that changing over time?”, I’d prioritize citation-level tracking over generic “AI visibility” scores.

My shortlist for an agency

These are broadly consistent with current 2026 comparisons of AI-search monitoring platforms. technologyadvice.com

🥇 I'd start with Peec AI

Peec AI is particularly well aligned with an agency model. Its agency offering explicitly tracks mentions, position, citations and sentiment at the prompt level, across AI channels, with daily monitoring and white-labeled reporting. It also supports multiple clients from one account. peec.ai

The distinction between mention and citation is important for what you're describing.

For example:

User asks: “What are the best CRM strategies for SaaS companies?”

AI answer mentions your client → mention

AI answer links to client.com/blog/crm-strategies → citation

AI answer mentions your client but cites HubSpot, Gartner and competitors → brand visibility without owned-content citation

For a content agency, that last distinction is enormously useful because it tells you whether your actual content investment is becoming an information source for AI, rather than merely whether the brand is known.

🥈 Profound if your clients are enterprise

Profound is worth looking at if you're managing substantial enterprise accounts and want deeper AEO/GEO intelligence rather than just a reporting dashboard.

I'd lean toward Profound when you need to answer questions such as:

• Which queries cause an AI engine to retrieve our content?
• Which URLs are being cited?
• Which competitors are getting cited instead?
• Which domains are disproportionately influential in our category?
• How does AI perception of the brand change?
• What content/topic gaps should we address?

🥉 Semrush if you already live in Semrush

Semrush has made its AI Visibility Toolkit considerably more relevant to this use case. Its reporting includes mentions, cited pages and citations, plus breakdowns by LLM. www.semrush.com

The advantage for an agency isn't necessarily that it's the best standalone citation tracker. It's that you can put:

Google rankings → organic traffic → content → backlinks → AI mentions → AI citations

into the same ecosystem.

That can make client reporting much easier.

What I'd actually measure

I'd build your agency's reporting around these metrics rather than an opaque “AI visibility score”:

1. Citation rate
AI answers citing our domain / AI answers monitored

2. Owned-content citation rate
Answers citing our blog/content URLs / total answers

3. Citation share vs competitors
How often your client's content is cited compared with competitor domains.

4. Citation velocity
Are newly published articles beginning to appear as sources?

5. Citation persistence
Does an article get cited repeatedly over weeks/months, or was it a one-off?

6. Citation by URL
The really valuable report:

That turns AI monitoring into an editorial optimization system, rather than another vanity metric.

One important caveat

Don't treat a citation tracker as equivalent to Google Search Console. AI answers can vary substantially between runs and engines, and research has found meaningful differences in which sources different generative systems retrieve. arxiv.org

So I'd use these platforms for directional, longitudinal measurement, not claim that “we have a 37.2% true share of all ChatGPT citations.”

My recommendation

For a marketing agency managing multiple clients, I'd evaluate them in this order:

Peec AI → Profound → Semrush → Otterly.AI → Ahrefs

If you tell me roughly how many clients/domains you manage (e.g. 10, 50, 200), how many blog posts per client, and whether you need white-label client dashboards, I can narrow this down to the best 2–3 and compare current pricing, prompt limits, engines covered, API/export capabilities, and agency reporting.

For a marketing agency, you’re looking for GEO/AEO (Generative Engine Optimization) visibility software rather than traditional SEO rank trackers. The important capabilities are:

• Citation tracking: Which of your blog URLs are cited by ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, etc.
• Prompt monitoring: Which customer questions trigger your content to appear.
• Competitor citation analysis: Who gets cited instead of your clients.
• Source attribution: Whether AI systems use your owned content vs. third-party mentions.
• Client reporting: White-label dashboards and recurring reports. www.marqops.com

Here are the strongest options to evaluate:

A few newer GEO-focused platforms worth looking at:

• GEO Monitor — tracks AI mentions, citations, competitors, and visibility across several answer engines. geomonitor.app
• Genwolf AI — focuses on prompt monitoring, citations, source discovery, and answer history. www.genwolf.ai
• Digraph — positions itself around AI search visibility, citation activity, and competitive analysis. www.digraph.dev

My shortlist for a marketing agency

If you manage many clients:

1. Profound
2. Peec AI
3. Scrunch AI

If you’re adding GEO as a service line:

1. Peec AI
2. Otterly AI
3. GEO Monitor

If you already run SEO retainers:

1. Semrush/Ahrefs ecosystem
2. Add a dedicated GEO tracker for citation reporting

What I would measure in monthly client reports

Don’t just report “AI visibility score.” Track:

• % of tracked prompts where client is mentioned
• % where client content is cited as a source
• Number of unique URLs cited
• Citation share vs. competitors
• Which blog posts earn citations
• Which topics have citation gaps
• Whether AI describes the brand correctly

One caveat: AI citation data is still noisy because answers vary between runs, models, and time periods. Repeated measurement is more meaningful than a single snapshot. arxiv.org

For an agency packaging this as a service, I’d prioritize white-label reporting, multi-client management, API/export capability, and citation-level evidence (the actual URL and prompt that produced the citation) over a simple “AI score.”

If your agency’s specific goal is “Which of our clients’ blog URLs are being cited inside ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, etc., and how is that changing over time?”, I’d narrow the field to Profound, Peec AI, and OtterlyAI.

My ranking for a marketing agency

1. Profound — best if citation intelligence is the centerpiece

Profound is the one I'd look at if you're building a serious GEO/AEO offering for clients, rather than simply adding an AI-visibility report to conventional SEO.

Its citation system lets you see which answer engines cite your content, how often, which competitors are getting citations, and which third-party sources are influential. It also categorizes sources into owned, competitor, earned media, PR, social, etc. www.tryprofound.com

That distinction is particularly valuable for an agency because you can answer:

“We published 25 articles, but which of those articles are actually being retrieved and cited by AI?”

And then go one level deeper:

“What publications are AI engines citing instead of our content?”

That's much more strategically useful than simply reporting “AI visibility increased 14%.”

Downside: likely overkill—and potentially expensive—for smaller clients.

2. Peec AI — my pick for most agencies

Peec AI's agency offering

I'd probably demo Peec first if you're a typical marketing agency with multiple clients.

It specifically markets to agencies and tracks mentions, position, citations and sentiment at the prompt level, with daily monitoring across engines. It also distinguishes citation rate from mention rate—which is important because an AI can cite your domain without actually naming your brand. peec.ai

That makes it useful for client reporting:

Client → Topic → Prompt → AI engine → Mention → Citation → URL → Position → Competitors

rather than just:

Client → AI visibility score

Peec also provides visibility, position, sentiment and share-of-voice metrics. docs.peec.ai

For an agency, that's probably the sweet spot.

3. OtterlyAI — best value

OtterlyAI

I'd choose Otterly if you want to monitor a large number of clients without turning GEO tracking into a huge software expense.

Its particularly relevant feature for your use case is domain ranking & analytics: it tracks domains and their individual URL citations and monitors changes in citation positions over time. otterly.ai

Its Citations report also lets you analyze citation URLs by date, engine, country and tags, including winners/losers over time. help.otterly.ai

So for a content agency, I'd pay close attention to:

• URL-level citations
• Citation growth/decline
• Which blog posts get cited
• Which competitors' pages replace them
• Which prompts trigger citations
• Which engines cite them
• Citation history

That's much closer to what you're asking for than generic “AI brand monitoring.”

One important distinction

I'd avoid choosing a platform based primarily on brand mentions.

For your use case, you want to measure at least four separate things:

1. Mention
Does the AI mention the client?

2. Citation
Does it actually link to the client's site/content?

3. Citation URL
Which specific blog article gets cited?

4. Citation influence
Does the cited article actually contribute information/evidence to the answer?

That fourth metric is becoming especially important. Recent GEO research distinguishes between a source merely being selected as a citation and the information from that source actually being absorbed into the generated answer. arxiv.org

Also, AI citations are inherently noisy: identical prompts can produce different citations at different times, so I'd favor platforms that provide repeated observations and trends, rather than treating one AI response as definitive. arxiv.org

What I'd do if I were running your agency

Start with Peec + Otterly demos.

If you're selling a premium “AI Search / GEO Intelligence” service to larger clients, add Profound to the evaluation.

And I'd structure your internal KPI around something like:

AI Citation Share = % of relevant tracked AI answers that cite a client's domain/content

Then break it down by:

Client → Topic → Prompt → Engine → Citation URL → Competitor URL → Citation position → Trend

That gives you a much stronger agency deliverable than an “AI visibility score.”

If you tell me roughly how many clients/domains and how many blog posts you need to monitor, I can narrow this down to the best 2–3 platforms and compare their pricing, white-label reporting, API/export capabilities, prompt limits, and citation-level data.

If your agency’s goal is specifically “Which of our clients’ blog URLs are being cited/attributed inside ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, etc., and how do we turn that into an actionable content strategy?”, I’d narrow the field considerably.