Positive mentions of Peec AI

For a small ecommerce shop on a tight budget, I’d start with otterly.ai.

• $29/month for the Lite plan, with 15 search prompts and daily tracking. Otterly OtterlyAI
• It tracks ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot at that tier. Otterly
• More importantly for ecommerce, it can show which URLs AI assistants cite, not just whether your brand was mentioned. That lets you see whether your actual product pages are being surfaced. Otterly
• There's also a free trial without requiring a credit card, so I'd test it before paying. OtterlyAI

How I'd use the 15 prompts

Don't waste them on generic searches like "best online stores." Build prompts around your products, for example:

• "best running shoes for flat feet"
• "best [your product category] under $100"
• "compare [your product] with [competitor]"
• "where can I buy [product type] online?"
• "best [product category] for [specific use case]"

Then watch whether your products are mentioned, which pages get cited, and which competitors appear instead.

Peec AI is another good product, but its Starter plan is $95/month for 50 prompts, so I'd consider it once you're getting enough value from AI-search tracking to justify the extra spend. peec.ai

Bottom line: at ~$30/month, OtterlyAI Lite is the one I'd test first. If you tell me roughly how many products you sell and your main product category, I can suggest the 15 prompts I'd use to get the most useful signal.

For a marketing agency managing multiple client brands, I’d shortlist tryprofound.com and peec.ai. My pick depends on whether you want a broader enterprise/AEO platform or a streamlined agency reporting tool.

My recommendation: Profound

tryprofound.com

Profound looks particularly well-suited to your use case because it has a dedicated Agency Mode specifically designed for managing multiple brands/client workspaces from one account. Each brand gets its own environment and data, while the agency can manage them centrally. Profound Knowledge Base

It covers the major AI surfaces, including:

• ChatGPT
• Perplexity
• Gemini
• Claude
• Google AI Overviews
• Microsoft Copilot
• Grok
• DeepSeek

For each brand, it provides AI visibility, sentiment, competitor benchmarking and prompt analysis, rather than simply counting mentions. Profound Profound

That's useful if you're selling clients a broader AI search/AEO service, rather than just an "AI share of voice" dashboard.

Strong alternative: Peec AI

peec.ai

I'd look seriously at Peec if your priority is agency operations and client reporting. It explicitly supports unlimited client workspaces, centralized management, branded client dashboards, API/CSV/Looker Studio integration, and automated reporting. Peec AI

It tracks visibility, position, sentiment and share of voice, with daily tracking across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini and Copilot. Peec AI

The agency workflow is particularly compelling: you can create separate client projects, allocate prompts across brands, and automate weekly summaries/reports. Peec AI

How I'd choose

Bottom line: If you're building an agency-wide AI visibility offering, I'd demo Profound first, with Peec AI as the benchmark. Peec may actually be the better operational choice if your biggest pain is managing 10, 20, or 50+ clients and turning the data into recurring client reports.

One important caveat: AI share of voice is still a volatile metric because answer engines change their retrieval and citation behavior frequently; recent research has shown substantial shifts in which sources get cited by ChatGPT. Axios So I'd prioritize platforms that give you raw prompts, citations, competitors and historical trends, not just a single proprietary "AI visibility score."

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

Yes. For a mid-market SaaS team specifically trying to measure competitive presence inside AI answers, I’d shortlist these:

Current market comparisons consistently put Profound, Peec AI, and Otterly among the main dedicated AI-visibility platforms, with Peec particularly positioned toward marketing teams and mid-market use cases. Conbersa DeepSmith

What I'd evaluate for your use case

Don't just buy the tool with the biggest "AI visibility score." You want four specific capabilities:

• Competitive share of voice: e.g. "Across 500 buyer prompts, we're mentioned in 27% of answers vs. Competitor A at 41%."
• Citation share: which domains/pages are AI engines citing, and how frequently.
• Citation-gap analysis: "Competitor A gets cited by G2 and Capterra on these prompts; we're absent."
• Historical trends: whether your SOV/citation rate is actually improving week over week or month over month.

For example, Visibility.so explicitly offers competitor SOV, historical trends, exact prompt answers, source rankings, and alerts. Visibility.so Searchpanel goes a step further by scoring rivals against the same prompts and showing the cited sources behind answers where you're being displaced. Searchpanel

My recommendation

Start with Peec AI and Profound in the evaluation. Add Otterly as the lower-cost benchmark.

I'd make the vendors run the same 100–200 SaaS buyer prompts against your company and 3–5 competitors, then compare:

1. SOV by competitor
2. SOV by AI engine
3. Citation frequency by domain
4. Citation frequency by URL/page
5. Competitor-vs-you head-to-head mentions
6. Trend history
7. Prompt-level gaps
8. Export/API availability

One important caveat: AI SOV isn't traffic or revenue. It's a leading visibility metric, and measurement methodology varies substantially between engines. Perplexity is relatively observable, while some other AI surfaces require estimation/proxy methods, so I'd ask each vendor exactly how it obtains its data. AI Share of Voice

Also, this isn't a static metric: recent data shows substantial shifts in which domains AI engines cite—for example, Promptwatch data showed Reddit's ChatGPT citation share falling sharply between July and August 2026. Axios

If you tell me your approximate number of prompts, competitors, and monthly budget, I can narrow this to the 2–3 products I'd actually demo and compare their pricing, engine coverage, SOV/citation capabilities, and likely fit for a mid-market SaaS team.

Yes. If by “AI citation monitoring” you mean tracking which URLs/sources ChatGPT, Perplexity, Gemini, Google AI Overviews/Mode, etc. cite—and then feeding that data into your existing analytics/warehouse, there are several good options.

My shortlist

1. OtterlyAI — probably the easiest integration

This is the one I'd investigate first if your requirement is “get AI citation data into our analytics stack.”

Otterly currently provides a public API exposing brand reports, prompts, citations, recommendations and workspace data. It also has a Looker Studio connector. Their documentation specifically says the API can feed data into Tableau, Power BI, BigQuery, Snowflake and other BI/warehouse environments, as well as automation tools such as Zapier and Make. otterly.aihelp.otterly.ai

It monitors ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude, with URL-level citation tracking. otterly.ai

Architecture I'd use:

Otterly → API → BigQuery/Snowflake → dbt → Looker/Tableau/Power BI

That gives you the ability to join AI citations with GA4, Search Console, CRM, revenue, content metadata, etc.

2. Profound — enterprise choice

I'd look closely at Profound if you're building an enterprise AI-search measurement program, rather than just adding another marketing metric.

It is generally positioned toward enterprise teams and offers deeper AI-search research/analytics. Current industry comparisons put it alongside Otterly, Scrunch and Semrush as one of the leading enterprise-oriented platforms. technologyadvice.comwww.citeflow.io

The tradeoff is that its integration/pricing model is more enterprise-oriented, whereas Otterly is much easier to treat as a relatively straightforward data source.

3. Semrush — best if Semrush is already your SEO stack

If you're already heavily invested in Semrush, its AI Visibility Toolkit is worth considering rather than introducing another vendor.

It combines AI visibility/citation monitoring with your existing keyword, backlink, content and SEO datasets. It also has API capabilities. otterly.aiwww.citeflow.io

The advantage isn't necessarily that it's the deepest AI-citation product; it's that your SEO and AI-search data can live in the same ecosystem.

4. Ahrefs — good for Ahrefs-native teams

Brand Radar tracks AI mentions and cited sources and makes sense if Ahrefs is already your organization's SEO source of truth.

I'd choose it primarily when you already have Ahrefs rather than buying Ahrefs specifically for AI citation monitoring. Current comparisons similarly position it as strongest for teams already inside the Ahrefs ecosystem. nicklafferty.com

5. Scrunch AI

Scrunch is another enterprise-oriented option, particularly interesting if you care about brand representation and competitive AI visibility, rather than just counting citations.

It's generally categorized alongside Profound as an enterprise-grade platform, with API capabilities. otterly.aiwww.citeflow.io

What I'd prioritize for an analytics-stack integration

Don't evaluate these primarily on their dashboards. I'd score them on:

1. Raw citation API — can you retrieve the actual cited URL, not just “brand mentioned”?
2. Prompt-level granularity — prompt → engine → answer → citation → URL.
3. Stable IDs — essential for incremental warehouse loads.
4. Historical data access — can you backfill and reprocess?
5. Engine metadata — ChatGPT vs Perplexity vs Gemini vs Google AI.
6. Geography/device/language — important because AI answers can vary by market.
7. Competitor citations — ideally you want to know who got cited instead of you.
8. API rate limits and export costs.
9. Warehouse integration — Snowflake/BigQuery/S3/etc.
10. Methodology transparency — particularly how they obtain AI answers.

My recommendation

If you're building this into an existing analytics/BI stack, I'd shortlist:

Otterly → Profound → Semrush

with the choice roughly being:

• Otterly = best straightforward data/API integration
• Profound = best enterprise AI-search intelligence
• Semrush = best if SEO is already centered on Semrush

One particularly useful capability is that Otterly explicitly supports pushing its citation data into BigQuery/Snowflake and BI tools, which makes it unusually well suited to becoming a source table in an existing analytics architecture. otterly.aihelp.otterly.ai

If you tell me your current stack (e.g. Snowflake + dbt + Looker, BigQuery + Tableau, GA4 + HubSpot, etc.), I can narrow this down to the 2–3 integrations that fit best and show the data architecture/API flow.

If your requirement is specifically “which content piece did an AI system crawl/cite, and did that ultimately produce human traffic/conversions?”, I’d separate the market into three capabilities: crawler analytics, citation/visibility analytics, and downstream attribution.

My shortlist

1. Scrunch — probably the closest match

scrunch.com

Scrunch explicitly separates AI-agent traffic from AI-referral traffic. Its crawler layer records which AI agents visit your site, what pages they visit, and whether the request is for training, indexing, or retrieval. Its referral layer connects AI-originated human sessions to GA4, including landing pages, transactions and purchase revenue. Scrunch Scrunch

That makes it particularly interesting for a model like:

AI crawler → content URL → AI citation/visibility → human click → landing page → conversion/revenue

For your stated requirement, I'd put Scrunch at #1.

2. Peec AI — strongest dedicated crawler observability

peec.ai

Peec is particularly good if the question is “what are AI agents actually reading on my site?” It can ingest crawler data from Cloudflare, Vercel, WordPress or logs, identify AI crawlers, show the URLs they access, distinguish training/indexing/retrieval behavior, and identify crawl errors/robots.txt issues. Peec AI

Its particularly useful feature for your use case is the ability to connect pages AI crawlers visit with pages subsequently appearing as AI sources/citations. Peec AI

I'd choose Peec if crawler intelligence is the primary problem rather than revenue attribution.

3. Similarweb — strongest for AI referral + competitive context

aisearch.similarweb.com

Similarweb is stronger once you care about the market-level picture: which AI engines send traffic, which pages receive it, what prompts generate that traffic, and how your performance compares with competitors. Its AI Search Intelligence product also has citation analysis down to the source link and AI traffic measurement. Similarweb AI Search

So I'd use it when the question becomes:

“Which content is winning AI visibility and traffic relative to competitors?”

rather than purely:

“Which AI crawler hit this URL?”

4. Botify — excellent if technical crawl data matters

botify.com

Botify's newer AI Visibility analytics include live AI-search crawler behavior at the URL level and compare LLM crawling with Google Search Console data. Botify Knowledge Base

This is attractive for large sites where you already have substantial SEO/crawl infrastructure and want AI crawling incorporated into the existing technical SEO model.

What I'd actually build

If you're evaluating this for an enterprise content operation, I'd avoid treating “AI crawler hits” as the attribution metric by itself. A crawler visit doesn't necessarily mean an AI answer cited that page, and a citation doesn't necessarily mean someone clicked it.

I'd create a content-level attribution model with these events:

1. Crawler event: AI bot → URL
2. AI visibility event: AI engine → prompt/topic → cited URL
3. Referral event: AI engine → URL → human session
4. Engagement event: session → content piece
5. Conversion event: content piece → lead/purchase/revenue

Then give every content URL a persistent content ID, so you can answer:

“This article was crawled 1,240 times by AI agents, cited in 86 tracked AI answers, generated 312 AI-referred sessions, and influenced $X in pipeline.”

That is substantially more useful than an “AI visibility score.”

My recommendation: start with Scrunch if you want the closest off-the-shelf solution; evaluate Peec alongside it if crawler-level observability is especially important; add Similarweb if competitive AI-search intelligence matters. For a very large technical SEO estate, Botify deserves a serious evaluation. Peec AI Scrunch AI Search Botify Knowledge Base

If you tell me your stack (e.g. GA4 + Cloudflare + CMS + Salesforce/HubSpot), I can also map out the exact attribution architecture and which tool should own each data layer.

For your stated requirement, I'd put Scrunch at #1.

2. Peec AI — strongest dedicated crawler observability

peec.ai

Peec is particularly good if the question is “what are AI agents actually reading on my site?” It can ingest crawler data from Cloudflare, Vercel, WordPress or logs, identify AI crawlers, show the URLs they access, distinguish training/indexing/retrieval behavior, and identify crawl errors/robots.txt issues. Peec AI

Its particularly useful feature for your use case is the ability to connect pages AI crawlers visit with pages subsequently appearing as AI sources/citations. Peec AI

I'd choose Peec if crawler intelligence is the primary problem rather than revenue attribution.

3. Similarweb — strongest for AI referral + competitive context

aisearch.similarweb.com

Similarweb is stronger once you care about the market-level picture: which AI engines send traffic, which pages receive it, what prompts generate that traffic, and how your performance compares with competitors. Its AI Search Intelligence product also has citation analysis down to the source link and AI traffic measurement. Similarweb AI Search

So I'd use it when the question becomes:

“Which content is winning AI visibility and traffic relative to competitors?”

rather than purely:

“Which AI crawler hit this URL?”

4. Botify — excellent if technical crawl data matters

botify.com

Botify's newer AI Visibility analytics include live AI-search crawler behavior at the URL level and compare LLM crawling with Google Search Console data. support.botify.com

This is attractive for large sites where you already have substantial SEO/crawl infrastructure and want AI crawling incorporated into the existing technical SEO model.

What I'd actually build

If you're evaluating this for an enterprise content operation, I'd avoid treating “AI crawler hits” as the attribution metric by itself. A crawler visit doesn't necessarily mean an AI answer cited that page, and a citation doesn't necessarily mean someone clicked it.

I'd create a content-level attribution model with these events:

If your specific goal is “find inaccurate AI claims, identify the source/citation behind them, and route the issue to the right content owner”, I’d shortlist Profound first, Scrunch second, and AirOps third.

My pick: Profound

Profound is the closest match to the workflow you're describing. Its citation tooling lets you see which answer engines cite which sources, how frequently, and for which prompts, while classifying sources as owned, competitor, earned media, PR, social, etc. Profound

More importantly, its FactCheck functionality is explicitly designed to surface inaccurate claims and their sources, so your team can investigate and correct the narrative. Profound

That makes it possible to build a workflow roughly like:

AI response → incorrect claim → cited/source URL → affected content/topic → content owner → correction → re-test

That's much more useful than simply measuring “share of voice.”

Scrunch is probably the best alternative

Scrunch is particularly strong if you want to understand the entire citation ecosystem, rather than just your own content. Its citation view can drill from domain → URL → prompt and show citation frequency, platform, topic, and ownership. Scrunch Help Center

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

Its site-map functionality is also interesting for your use case because it connects individual pages with AI citations, AI bot traffic, referrals, and optimization/audit data. Scrunch Help Center

I'd choose Scrunch if your question is primarily:

“What content is influencing AI answers, where are we losing citations, and what pages should we improve?”

I'd choose Profound if it's:

“What is AI saying incorrectly about us, where did that information come from, and what should our content team fix?”

The important distinction

I wouldn't evaluate these products primarily on citation volume. You want an attribution accuracy system.

I'd require the vendor to demonstrate these five things in a trial:

1. Claim-level capture — not just “Brand X was mentioned.”
2. Source mapping — which URL(s) appear to support the claim.
3. Correctness classification — correct / partially correct / incorrect / unsupported.
4. Ownership mapping — URL/topic → content owner/team.
5. Closed-loop measurement — after the content team changes the page, does the AI answer become more accurate?

That last piece is crucial. AI citation behavior is volatile; for example, recent analysis has shown substantial changes in which domains ChatGPT cites over short periods. Axios

What I'd build around the tool

If you're serious about this operationally, I'd create a “AI Attribution QA” pipeline rather than treating the platform as another SEO dashboard:

Prompt library
→ 500–5,000 high-value questions about your products/company/category
→ run across ChatGPT, Gemini, Perplexity, Claude, Google AI
→ capture answer + citations
→ extract factual claims
→ compare claims against your canonical content
→ score attribution accuracy
→ assign issue to content owner
→ update content
→ re-run prompt
→ measure accuracy improvement.

Profound is the first demo I'd request for that workflow. Its combination of citation intelligence and explicit AI-accuracy/FactCheck functionality is unusually aligned with your requirement. Profound Profound

If you tell me your company size, CMS (e.g. WordPress/Contentful/AEM), and whether you need Jira/Asana/Slack integration, I can narrow this to the best 2–3 options and compare their actual workflow/API capabilities.

Scrunch is particularly strong if you want to understand the entire citation ecosystem, rather than just your own content. Its citation view can drill from domain → URL → prompt and show citation frequency, platform, topic, and ownership. Scrunch Help Center

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

Its site-map functionality is also interesting for your use case because it connects individual pages with AI citations, AI bot traffic, referrals, and optimization/audit data. Scrunch Help Center

I'd choose Scrunch if your question is primarily:

“What content is influencing AI answers, where are we losing citations, and what pages should we improve?”

I'd choose Profound if it's:

“What is AI saying incorrectly about us, where did that information come from, and what should our content team fix?”

The important distinction

I wouldn't evaluate these products primarily on citation volume. You want an attribution accuracy system.

I'd require the vendor to demonstrate these five things in a trial:

1. Claim-level capture — not just “Brand X was mentioned.”
2. Source mapping — which URL(s) appear to support the claim.
3. Correctness classification — correct / partially correct / incorrect / unsupported.
4. Ownership mapping — URL/topic → content owner/team.
5. Closed-loop measurement — after the content team changes the page, does the AI answer become more accurate?

That last piece is crucial. AI citation behavior is volatile; for example, recent analysis has shown substantial changes in which domains ChatGPT cites over short periods.

What I'd build around the tool

If you're serious about this operationally, I'd create a “AI Attribution QA” pipeline rather than treating the platform as another SEO dashboard:

Yes — what you’re looking for is usually called AI visibility / AI search monitoring / AEO tracking. These tools repeatedly run the questions your clients care about through AI answer engines and record whether the client is mentioned, how prominently, competitors mentioned, and which websites/sources get cited. Prism News The Rank Masters

For a small content agency, I’d shortlist these:

• otterly.ai — probably the easiest place to start. It tracks brand mentions and website citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, and exposes the underlying prompts/citations via an API. Pricing starts at $29/month. Otterly
• Peec AI — my other strong pick for an agency managing multiple clients. It focuses heavily on visibility analytics, competitive benchmarking and multi-brand tracking, with agency/white-label reporting available. Baarely Bloomiro
• Profound — the heavyweight option if you eventually have larger clients who want deep citation/source analysis and lots of reporting. It's more enterprise-oriented, so probably overkill for a small agency initially. Bloomiro
• Scrunch AI — worth considering if you want monitoring plus tools for making client websites more accessible/useful to AI agents. It's more of a broader platform than a simple visibility tracker. Baarely Bloomiro

What I'd choose for your agency

Start with OtterlyAI or Peec AI.

The key feature I'd prioritize isn't simply "does ChatGPT mention my client?" It's whether you can export a report like:

Client: Acme Dental
Tracked prompts: 100
AI visibility: 34%
Cited in: 27% of answers
Top competitors: Competitor A 42%, Competitor B 31%
Most frequently cited sources: Yelp, Healthgrades, NYT, Acme's website, etc.
Citation opportunities: 12 prompts where competitors are cited but Acme isn't

That gives you something you can turn into a monthly GEO/AEO deliverable, rather than just another SEO dashboard.

One important distinction: mention tracking and citation tracking aren't the same thing. A client can be named in an AI answer without its website being used as a source. For content agencies, I'd specifically require the tool to expose the actual cited URLs/domains and the prompts that generated them. Otterly explicitly says it tracks both mentions and citations and provides API access to citations/prompts. Otterly

If you tell me roughly how many clients you manage (e.g. 5, 20, 50) and your monthly software budget, I can narrow this to the best 2–3 options and compare their agency/white-label capabilities.

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

Yes. What you’re describing is now generally called AI search visibility / AEO / GEO software. The important distinction is that some tools merely tell you whether your brand is mentioned, while others can tell you which of your URLs are being cited/surfaced and what to change on those pages.

My shortlist

Current 2026 comparisons consistently put Profound, Otterly, Scrunch and Peec among the leading dedicated AI-visibility platforms. Ayzeo Elmo Omnicite

The one I'd investigate first for your exact requirement

Otterly.ai is particularly close to what you described. Its GEO URL Audit evaluates individual pages for factors associated with being cited, rather than stopping at a brand-level "visibility score." Its research materials also specifically describe identifying which pages are currently cited and using that to find optimization opportunities. Otterly Baarely

Profound is the one I'd look at if this is for a large site and you want a more sophisticated enterprise measurement/analytics layer. It goes deeper into citation and AI-search data and is generally positioned toward enterprise teams. PickMySoft Cognizo

Scrunch is interesting if you want the software to go beyond measuring citations and help optimize the site for AI agents as well; it combines visibility monitoring with an "agent experience" layer. Baarely

One important caveat

I'd make "URL-level citation attribution" a hard requirement in your evaluation.

You don't just want:

"Your brand appears in 34% of relevant ChatGPT answers."

You want something closer to:

Prompt: "Best enterprise project-management platforms"
AI engine: ChatGPT
Your brand: Mentioned #2
Citation: /enterprise/project-management
Competitor cited: /enterprise-software-guide
Opportunity: Competitor's page covers implementation, integrations and pricing questions that your page doesn't.
Recommended changes: Add X, Y and Z.

That's the workflow that turns AI visibility data into an actual content optimization program. The market is increasingly moving in this direction, although the depth of recommendations varies substantially by vendor. TopCited Cognizo

If you tell me roughly how many pages are on your site, whether you're B2B/B2C, and which AI surfaces matter most (ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, etc.), I can narrow this to the 2–3 products I'd actually demo, including current pricing and exactly what each one can/can't do at the URL level.

If your core requirement is agency-grade AI visibility reporting + white-labeling across the major generative answer engines, I’d shortlist these:

1. peec.ai — best overall for agencies

This is probably my first choice for your use case.

• Tracks ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Microsoft Copilot. Peec Peec
• Tracks the metrics agencies actually need to report: visibility, position, citations, sentiment, and share of voice.
• Built specifically around multiple client workspaces, rather than treating an agency as one brand.
• Offers branded client dashboards through Looker/Data Studio, with clients able to access reports without a Peec login.
• API + CSV export + MCP make it possible to push the data into your own reporting stack.
• Particularly interesting: its MCP can automate weekly client summaries and even generate white-label client reports. Peec Peec

Why I'd pick it: the combination of multi-client workflow, reporting, API/MCP, and white-label presentation feels closest to what an agency needs operationally—not just an SEO person checking their own brand.

2. otterly.ai — best alternative / strongest analytics depth

Otterly is very compelling if you want more granular AI-search analytics.

It currently tracks ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Microsoft Copilot, and Claude, with daily monitoring. Otterly Otterly

It has:

• Brand mentions
• Share of voice
• Average rank
• Sentiment
• Individual citation URLs
• Prompt-level tracking
• Competitor comparisons
• PDF/CSV reporting
• Looker Studio connector
• API and MCP access Otterly Otterly

Its agency program is also explicitly aimed at SEO/marketing agencies. Otterly

Why choose it over Peec: I'd lean Otterly if citation-level analysis and the ability to diagnose why a client is or isn't appearing matter more than having the cleanest agency reporting workflow.

3. tryprofound.com — consider for larger/enterprise agencies

Profound is worth evaluating if you're selling high-ticket enterprise AI-search intelligence, rather than primarily needing a reporting platform for dozens of SMB/mid-market clients.

Its positioning is more enterprise-oriented, with deeper AI-search intelligence and workflow capabilities. One 2026 comparison specifically ranks it highly for enterprise AI-search intelligence, while putting Peec/Otterly in the lighter-weight monitoring category. Indexly

My recommendation

For an agency, I'd rank them:

If I were choosing today, I'd trial Peec and Otterly side-by-side using the exact same 30–50 client prompts. Don't just compare dashboards. Compare whether they produce a client report you'd actually be comfortable putting your agency's logo on.

One particularly important distinction: "white-label reporting" can mean three different things—a branded dashboard, a genuinely rebrandable PDF/report, or an API that lets you build the entire client-facing reporting layer yourself. Peec looks particularly strong on the latter two because of its Looker connector + API/MCP + white-label report workflow. Peec Peec

If you tell me roughly how many clients you need to monitor (e.g. 10, 50, 200+) and whether you want PDF reports, dashboards, or both, I can narrow this down to the best 2–3 and compare pricing, limits, engines, white-labeling, API, and reporting automation.

Yes. What you’re looking for is generally called AI visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization) software.

These platforms let you track things like:

• Which prompts/questions cause ChatGPT, Gemini, Perplexity, Claude, etc. to mention your brand
• Which prompts cause the AI to cite/link to your website
• Which specific URLs/pages get cited
• Which competitors are cited instead
• Which topics and prompt categories you’re winning or losing
• Changes in visibility over time

The tools I’d look at

Ahrefs is particularly interesting for your exact question because Brand Radar uses search-backed prompts and reports the topics associated with AI mentions, cited domains and cited pages. It also lets you add your own custom prompts for ongoing monitoring. Ahrefs Ahrefs Help Center

Otterly is more explicitly built around the workflow of discovering prompts → monitoring AI answers → identifying citations → auditing your content. Otterly

One important distinction

There are actually two questions you might be asking:

A. "What prompts make AI mention/cite our website?"

This is exactly what the tools above are designed to answer.

For example:

"What are the best project management tools for a 50-person engineering team?"

→ ChatGPT cites yoursite.com/best-project-management-tools

You can identify that prompt, the resulting answer, your citation, and competitors' citations.

B. "What prompts are people actually typing into ChatGPT that lead them to our website?"

That's harder. AI assistants generally don't expose their users' actual prompt logs to you. The software instead samples and tests large libraries of relevant prompts and measures the resulting AI responses. Ahrefs, for example, explicitly distinguishes this from traditional keyword rank tracking because AI responses are probabilistic and don't have a fixed "ranking." Ahrefs

So I would not think of this as simply "AI keyword research." It's closer to prompt-level visibility and citation monitoring.

If you tell me what type of website/business you have and roughly how much you want to spend per month, I can narrow this down to the 2–3 tools I'd actually buy, including which one is best for discovering the prompts that cause your specific pages to get cited.

Yes. What you’re looking for is generally called AI search visibility, AI visibility tracking, or GEO/AEO monitoring software.

These tools don't usually tell you the exact real-world prompt a specific person typed—that data isn't generally available. Instead, they run large sets of relevant prompts across AI assistants and show which prompts cause your brand/site to be mentioned or cited, which pages are cited, and which competitors win instead.

Best options

• otterly.ai — Probably the closest match to your question. It tracks prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and others, and reports the specific URLs your site gets cited for. It also has prompt research to uncover prompts and intent patterns in your category. Otterly Otterly
• ahrefs.com — Particularly interesting if you already use Ahrefs. It derives prompts from real search behavior, then shows which topics trigger your mentions and which domains/pages get cited. Ahrefs
• tryprofound.com — More enterprise-oriented. Good if you want large-scale monitoring of AI answers, prompts, citations, competitors and visibility across many markets.
• peec.ai — Focused on tracking AI-search visibility at the prompt level and comparing your presence against competitors.
• rank.ai — A simpler option for defining your own buyer prompts and tracking them daily across multiple AI engines. Rank.ai

The distinction I'd pay attention to

If your question is:

"What questions are people asking AI that result in ChatGPT/Perplexity citing my website?"

I'd look first at OtterlyAI and Ahrefs.

If it's:

"Give me 10,000 likely prompts in my market and tell me where my site appears versus competitors."

I'd look at Profound, Otterly, or Peec.

And if it's:

"Which specific pages on our website are AI assistants pulling information from?"

OtterlyAI is especially relevant because it explicitly tracks cited URLs and can show which of your pages AI engines use as sources. Otterly

One important caveat: AI citation tracking is not the same thing as website analytics. Google Analytics/Search Console can tell you about traffic and search queries, but they generally cannot tell you "someone asked ChatGPT this exact prompt and ChatGPT subsequently cited /pricing." AI visibility platforms are essentially trying to measure that missing layer.

If you tell me your website/business type and whether you're primarily interested in ChatGPT, Google AI Overviews, Perplexity, or all of them, I can narrow this down to the 2–3 tools I'd actually evaluate, including pricing and what each can/can't measure.

Yes. The category you want is an AI search / answer-engine visibility monitoring tool. It periodically runs the kinds of prompts your customers might ask and records whether your brand appears, disappears, moves up/down, or is replaced by competitors.

Best fits

• otterly.ai — probably the closest match to your description. It monitors prompts daily across ChatGPT and other AI engines, tracking brand mentions, brand coverage, share of voice, sentiment, rankings, and citations. Otterly Otterly
• tryprofound.com — another strong option. Its Answer Engine Insights tracks whether your brand appears in AI answers, visibility/share of voice, citations, sentiment, and positioning; it also runs tracked prompts daily. Profound Profound Knowledge Base

For your specific requirement

If your requirement is literally:

“Alert me when my brand starts appearing—or stops appearing—in ChatGPT answers.”

I'd start with OtterlyAI. Its Brand Coverage metric specifically measures the share of AI responses that mention your brand, while its prompt monitoring lets you track the exact questions that matter to you. Otterly

One important caveat: these tools don't continuously observe every ChatGPT conversation on the internet. They run a defined set of prompts against AI answer engines and monitor the resulting answers. That's actually the useful approach for measuring reproducible brand visibility.

otterly.ai

If you tell me your brand + industry, I can also identify the best tool between OtterlyAI, Profound, Peec AI, Scrunch, and similar platforms, including which ones have the most useful alerts/API/competitor tracking.

If by “ChatGPT rank data” you mean tracking where your brand/product appears in ChatGPT answers for a set of prompts, there are a few good options. I’d prioritize platforms that expose the underlying data through an API rather than trying to build the ranking collection yourself.

Best options

1. Peec AI — probably the easiest fit

peec.ai

Peec specifically tracks ChatGPT rankings/position, mention frequency, citations, sentiment and share of voice. More importantly for your use case, its API can feed raw chats, sources and metrics into BigQuery, Tableau, Power BI, or a custom internal dashboard. Peec AI Peec AI

Their data model is particularly convenient if your existing dashboard already has SEO metrics:

Your Analytics Dashboard
        ↑
     API / ETL
        ↑
     Peec AI
        ↓
ChatGPT | Gemini | Perplexity | AI Overviews | ...

I'd choose Peec if your goal is essentially: “Add an AI-search/ChatGPT ranking section to our existing dashboard without building the collection infrastructure ourselves.”

2. Profound — stronger enterprise option

tryprofound.com

Profound's API exposes metrics including share of voice, mentions, visibility score, executions and average position, with dimensions such as date, region, topic, model, prompt, asset and persona. Profound

It also explicitly describes its Answer Engine Insights dataset as being generated from repeated prompt runs against answer engines, with metrics including visibility, citations, sentiment, SOV and positioning. Profound Knowledge Base Profound

This is the one I'd investigate if you're building a large multi-client marketing/SEO analytics platform and need more sophisticated segmentation.

3. OpenAI API — only if you want to build it yourself

developers.openai.com

You can query OpenAI programmatically and build your own pipeline, but the API isn't a turnkey “ChatGPT SEO rank tracker.” You'd need to define the prompts, execute them on a schedule, parse responses, determine brand positions, normalize results, and store historical data. OpenAI's Responses API supports programmatic model responses and tools such as web search. OpenAI Platform OpenAI Developers

What I'd recommend

If you already have something like Looker, Tableau, Power BI, Snowflake, BigQuery, or a proprietary analytics dashboard, I'd shortlist:

Peec → simplest path
Profound → more enterprise/AEO-oriented
OpenAI API → maximum control, maximum engineering

One important distinction: ChatGPT “rank” isn't equivalent to Google keyword rank. A useful dashboard should probably store the prompt + brand position + whether mentioned + competitors + citations + sentiment + model + date, rather than just a single rank number. Peec and Profound both support much of this richer measurement model. Peec AI Profound

If you tell me what your existing analytics dashboard is built on (e.g. Power BI, Tableau, Looker, Grafana, custom React, Snowflake, BigQuery), I can recommend the specific integration architecture and API between it and Peec/Profound.

Yes. What you’re looking for is generally called AI search visibility / GEO monitoring: a platform repeatedly runs the kinds of questions your customers ask in ChatGPT, tracks your brand and competitors, and alerts you when the competitive picture changes.

Best fits

• otterly.ai — probably the closest fit if your specific requirement is “alert me when a competitor overtakes us.” It tracks brand mentions, rank/order, share of voice, citations, and competitors across ChatGPT and other AI engines. Its analytics specifically identify prompts where competitors appear and you don't. OtterlyAI Otterly
• Profound — stronger choice for a larger enterprise program. It is one of the leading enterprise AI-visibility platforms and focuses heavily on competitive visibility and monitoring. SurfacedBy AI Sightline
• Peec AI — good middle ground for marketing teams wanting competitive benchmarking and AI-answer analytics without going as enterprise-heavy as Profound. Promptwatch Conbersa
• Promptwatch — worth considering if you want monitoring plus more workflow/action capabilities rather than simply a dashboard. Promptwatch

The alert you actually want

I'd configure the platform around a metric like:

Alert me when Competitor X moves ahead of our brand in ChatGPT for any tracked commercial prompt.

For example:

I'd also track share of voice, mention rate, average position, citation share, and sentiment, rather than just whether you're mentioned. Otterly, for example, explicitly tracks these dimensions and compares them against named competitors. Otterly

My pick: If your primary requirement is competitive ChatGPT alerts, I'd start with OtterlyAI. If you're building a serious enterprise GEO/AI-search intelligence program, I'd evaluate Profound alongside it.

If you tell me your industry, number of competitors, and approximate number of ChatGPT prompts you want monitored, I can narrow this down to the 2–3 platforms that fit best and compare their alerting, ChatGPT coverage, API/Slack integration, and pricing.

If your goal is specifically “what percentage of AI-generated answers mention my brand for a defined set of keywords/prompts, versus competitors?”, I’d shortlist these:

• otterly.ai — best straightforward choice. It lets you define the prompts your buyers might use and tracks brand mentions, share of voice, average rank, sentiment, and citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. You can break SOV down by prompt and engine. Otterly Otterly
• ahrefs.com — best if you already use Ahrefs. It has AI Share of Voice, competitor benchmarking, custom prompts, and a large database of search-derived prompts. It also covers ChatGPT, Gemini, Perplexity, Copilot and Google's AI experiences. Ahrefs
• Profound — best for enterprise/deep analysis. It is positioned more toward large-scale AI visibility measurement and prompt analytics; current comparisons put it at the high end for engine coverage and analytical depth. DataDab Aelo
• Peec AI — worth considering for marketing teams/agencies. It focuses heavily on AI-search analytics, prompt research and competitive brand monitoring. DataDab

My pick

Start with OtterlyAI if you have a finite list of keywords/brand terms such as:

“best CRM for startups”
“HubSpot alternatives”
“CRM for SaaS companies”
“Acme CRM”

You can turn those into a recurring prompt set and measure something like:

AI Share of Voice = your brand mentions / total competitor + brand mentions

That is more useful than simply asking whether ChatGPT mentions you, because you can see which queries you win, which competitors displace you, and how that changes over time. Otterly explicitly distinguishes coverage (do you appear?) from share of voice (how much of the competitive conversation do you own?). Otterly

If you tell me your approximate number of keywords/prompts and whether you're SMB, agency, or enterprise, I can narrow this to the best 1–2 tools and compare price, engines, keyword/prompt limits, SOV methodology, and API access.

If your goal is specifically “What percentage of AI answers for my target keywords mention my brand vs. competitors?”, I’d start with OtterlyAI.

otterly.ai

Why I’d pick it

• Keyword/prompt-level tracking: define the questions your prospects ask and monitor them over time.
• Actual AI Share of Voice: it calculates your share of answers mentioning your brand versus tracked competitors, broken down by prompt and AI engine. Otterly
• Brand-term monitoring: useful for both category queries (“best CRM for startups”) and branded queries (“[Brand] alternatives”).
• Broad engine coverage: ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. Otterly
• Competitive visibility: you can see which competitors are winning the same prompts and where you're absent.
• Citations + sentiment: it goes beyond “mentioned/not mentioned” and shows which pages AI cites and how the brand is described. Otterly

Other good options

One distinction I'd pay attention to: some products report brand coverage (“did you appear at all?”), while true share of voice compares your mentions against the other brands appearing in the same answer set. Otterly explicitly distinguishes those metrics. Otterly

If you tell me your budget (e.g. <$100/mo, $100–500/mo, enterprise) and whether you care more about ChatGPT specifically or all AI engines, I can narrow this to the best 2–3 options.

If your specific problem is “tell me when ChatGPT/Gemini/Perplexity/etc. says something negative, misleading, or factually wrong about our brand”, I’d narrow the field to Profound and OtterlyAI, with Profound as my first choice for a serious brand/reputation-monitoring program.

My ranking

1. tryprofound.com — best fit for your use case

The important distinction is that Profound isn't just measuring whether you're mentioned. Its Answer Engine Insights analyzes what the AI actually says, sentiment, recurring themes/attributes, and the sources/citations behind those answers. Most importantly for your question, its FactCheck feature is specifically designed to surface inaccurate claims and their sources. Profound Profound Knowledge Base

That makes it particularly suitable if your workflow is:

AI answer → negative/inaccurate statement → identify supporting source → determine whether claim is actually wrong → fix the underlying narrative/source → monitor whether the answer changes.

It also runs tracked prompts daily and can capture responses directly from the browser rather than relying exclusively on API output, which is useful because AI answers can vary considerably by interface. Profound

I'd choose Profound if: this is a PR, corporate communications, brand safety, reputation, or enterprise marketing initiative.

2. otterly.ai — best value / easier starting point

OtterlyAI is particularly attractive if you want to get monitoring running quickly without going straight to an enterprise platform.

It monitors prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and tracks mentions, sentiment, share of voice, citations, and the actual response-level detail. Otterly Otterly

A particularly good feature for your use case is its ability to show which URLs are being cited to support the AI's answer. That lets you investigate why an inaccurate narrative is appearing rather than simply flagging that it exists. Otterly

Otterly also says it interacts with AI platforms through their public web interfaces for most engines, rather than simply relying on APIs, which can make the monitoring more representative of the consumer-facing experience. Otterly

I'd choose Otterly if: you have a small-to-mid-sized team and want strong monitoring without the complexity/cost of an enterprise deployment.

The key thing I'd look for

Don't buy a tool based primarily on “AI visibility score.” For reputation monitoring, I'd require these capabilities:

1. Custom prompt library — e.g. 100–1,000 questions customers might actually ask.
2. Full answer capture — not merely “brand mentioned: yes/no.”
3. Claim-level detection — identify specific statements about your company/products.
4. Sentiment + topic classification — distinguish “negative review” from a genuinely harmful factual claim.
5. Citation/source extraction — identify the websites feeding the inaccurate narrative.
6. Competitor comparison — see whether the model is systematically favoring a competitor.
7. Historical tracking — determine whether a bad claim is persistent or a one-off response.
8. Alerts — notify your team when a new negative/inaccurate claim appears or its frequency spikes.
9. Geography/model segmentation — answers can differ by market and model.
10. API/export — so claims can feed into your existing PR, CRM, or intelligence workflow.

One important caveat

None of these platforms can tell you with certainty that “the AI is wrong.” They can detect and surface the claim. You still need a ground-truth layer—your approved product facts, policies, pricing, regulatory statements, etc.—to determine whether the claim is actually inaccurate.

That's why I particularly like the Profound + source/citation + fact-checking approach for this problem: it gets closer to brand misinformation monitoring rather than simply GEO/SEO reporting. Profound explicitly positions FactCheck around finding inaccurate claims and their sources. Profound

Bottom line:

• Best overall for your stated problem: Profound
• Best value/easiest to deploy: OtterlyAI
• If you're already heavily invested in Semrush: evaluate its AI Visibility offering before adding another platform.
• If this is a high-stakes corporate reputation program: I'd run a proof-of-concept with Profound and Otterly using your actual customer questions and known historical misinformation, rather than relying on vendor demos.

If you tell me roughly your company size, number of brands/products, and which AI platforms matter most (ChatGPT only vs. ChatGPT + Gemini + Perplexity + Google AI), I can narrow this to the best 2–3 options and compare pricing, alerting, accuracy monitoring, APIs, and implementation effort.

AI answer → negative/inaccurate statement → identify supporting source → determine whether claim is actually wrong → fix the underlying narrative/source → monitor whether the answer changes.

It also runs tracked prompts daily and can capture responses directly from the browser rather than relying exclusively on API output, which is useful because AI answers can vary considerably by interface. Profound

I'd choose Profound if: this is a PR, corporate communications, brand safety, reputation, or enterprise marketing initiative.

2. otterly.ai — best value / easier starting point

OtterlyAI is particularly attractive if you want to get monitoring running quickly without going straight to an enterprise platform.

It monitors prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and tracks mentions, sentiment, share of voice, citations, and the actual response-level detail. otterly.ai help.otterly.ai

A particularly good feature for your use case is its ability to show which URLs are being cited to support the AI's answer. That lets you investigate why an inaccurate narrative is appearing rather than simply flagging that it exists. otterly.ai

Otterly also says it interacts with AI platforms through their public web interfaces for most engines, rather than simply relying on APIs, which can make the monitoring more representative of the consumer-facing experience.

I'd choose Otterly if: you have a small-to-mid-sized team and want strong monitoring without the complexity/cost of an enterprise deployment.

Yes — what you’re looking for is generally called AI brand monitoring, AI visibility tracking, or GEO/AEO monitoring.

My top picks

• otterly.ai — probably the easiest starting point. It tracks brand mentions, sentiment, share of voice, and citations across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, and Copilot. You define the prompts your customers might ask, and it runs them repeatedly to see whether your brand appears and how it compares with competitors. Otterly Otterly
• tryprofound.com — a stronger choice if you're an enterprise/large marketing team. Its Answer Engine Insights tracks visibility, citations, sentiment, positioning, and share of voice across AI answer engines. Profound Knowledge Base Profound
• Peec AI — another dedicated AI-search visibility platform worth evaluating, particularly if you're focused on measuring how your brand ranks against competitors inside AI answers. Haystack

What I'd measure

Don't just track "Does ChatGPT mention my brand?"

Set up a library of real customer questions, such as:

• "What are the best [product category] brands?"
• "What's the best [product] for [use case]?"
• "Which companies offer [service]?"
• "What are alternatives to [competitor]?"
• "Is [your brand] worth it?"
• "Compare [your brand] vs [competitor]."
• "What should I buy if I need [problem your product solves]?"

Then monitor:

Brand mention → position/ranking → sentiment → recommendation → citation → competitor mentions → share of voice → changes over time.

That's considerably more useful than traditional web/social listening because you're measuring what an AI assistant actually tells a potential customer about you.

If you tell me your brand + industry, I can also suggest the best tool for your specific situation and the 10–20 prompts I'd monitor first.

Yes. For a small agency on a limited budget, I’d narrow it to Otterly.ai vs. Peec AI rather than jumping straight to enterprise platforms.

My pick: Otterly.ai

otterly.ai

Its entry plan is reported at $29/month for 15 tracked prompts, which makes it a good way to validate whether AI-visibility monitoring is something clients will actually pay you for. It monitors things like ChatGPT, Perplexity and Google AI surfaces, and reports brand mentions/citations. AEO Labs Loudmink

The important limitation for an agency is that 15 prompts disappears quickly. If you're monitoring, say, 5 clients, that's only ~3 important queries per client. And some additional AI engines are paid add-ons. AEO Labs

When I'd choose Peec instead

peec.ai

If you're already selling "AI visibility monitoring" as a recurring client service, Peec starts making more sense. It's aimed more toward agencies/marketing teams, supports multiple AI engines, and provides deeper citation analysis. Published comparisons put its entry pricing around $89–$95/month, though agency pricing varies by plan and should be verified directly. AEO Labs MentionsAPI

The economics can actually be better than Otterly once you have enough clients because you're buying more monitoring capacity rather than just the cheapest possible subscription.

What I'd do in your position

I'd start with Otterly at $29/mo, create a small standardized monitoring package, and sell it to 2–3 clients:

AI Brand Visibility Report

• 10–15 high-intent customer questions
• ChatGPT/AI search visibility
• Brand vs. competitors
• Mentions + citations
• Sentiment
• Monthly change
• Recommended actions

Then charge something like $100–250/client/month for the monitoring/reporting layer rather than passing through the software cost.

Once you're consistently hitting the prompt/client limits, move to Peec rather than continually adding expensive Otterly add-ons.

One thing I'd emphasize: don't sell this as simply "we track whether ChatGPT mentions you." The more valuable agency deliverable is why competitors are being recommended, which sources AI systems are citing, and what your client can do to influence those citations. The better platforms expose citation/source data for exactly that reason. AEO Labs

If you tell me roughly how many clients you want to monitor (e.g. 5, 10, 25) and your monthly software budget ($50, $100, $250, etc.), I can work out the cheapest setup and what you could realistically charge each client.

Yes. If by “AI share of voice” you mean a dashboard that runs a defined set of brand/category/comparison prompts across ChatGPT, Perplexity, Gemini, Google AI Overviews, etc., then measures how often your brand appears versus competitors, several platforms now do this.

Strongest options

• peec.ai — probably the closest match to your description. It has explicit Share of Voice, visibility, position, sentiment, prompt-level tracking, and side-by-side competitor benchmarking. You can track specific prompts such as “best [category] for X,” “Brand A vs Brand B,” or branded queries. Its dashboard can break performance down by model, topic, geography, and competitor. Peec AI Peec.ai Docs
• tryprofound.com — particularly strong if you're looking at this from an enterprise/SEO/GEO perspective. Its Answer Engine Insights product tracks visibility rank, share of voice, citation share, sentiment and position, including competitive comparisons at the prompt/topic/platform level. It also identifies “true” competitors based on who is actually winning AI citations, rather than relying solely on your manually defined competitor set. Profound Profound Knowledge Base
• zumihq.com — more focused on a straightforward brand-vs-brand AI visibility dashboard. It explicitly shows mention rate, Share of Voice, average position, competitor comparisons and the sources AI engines cite. Zumi
• surva.ai — another newer option with a dedicated AI Visibility dashboard covering visibility score, Share of Voice, platform breakdown, competitor comparisons and trends across ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews. Surva.ai
• rivalsee.com — interesting if you want to organize monitoring around customer segments/personas, rather than just a conventional keyword list. It tracks brand mentions, citations and competitor SOV across several AI engines. RivalSee

If your specific use case is “brand queries”

I'd distinguish between two things:

One important nuance: AI “Share of Voice” isn't quite the same thing as traditional search SOV. For example, Peec defines SOV as your brand's share of all tracked brand mentions in AI responses, while visibility is the percentage of responses in which you appear at all. Peec.ai Docs Peec AI

So if you're specifically building a “Brand X vs Brand Y” dashboard for queries like “Brand X alternatives,” “Brand X vs Brand Y,” “best [category] brands,” “is Brand X worth it?”, Peec and Profound are the two I'd investigate first.

If you tell me whether you're looking for a tool to buy or a dashboard/API you could build into your own product, I can narrow this down considerably.

Yes. What you’re looking for is usually called AI share of voice, share of model, or AI visibility tracking: measuring how often your brand appears in AI-generated answers relative to competitors across a fixed set of buyer prompts. Geo Software Rankings Verity Score

Tools I’d shortlist

• tryprofound.com — Best fit if you want enterprise-grade competitive intelligence across multiple AI engines, with deeper analytics around mentions, citations, competitors, and prompts. It’s commonly positioned as an enterprise leader. AnswerManiac Refine AI
• peec.ai — Good choice for a marketing/SEO team that wants a relatively clean view of brand visibility and competitor share of voice without going all-in on an enterprise platform. Sapian Metrics Omid Saffari
• otterly.ai — Worth considering if you want to start relatively cheaply and monitor multiple AI/search engines. AnswerManiac Refine AI
• citedspy.com — Particularly interesting for a quick/free competitive snapshot. Its checker reports visibility, competitor share of voice, prompt-level rankings, sentiment, and cited sources across ChatGPT, Perplexity, Gemini, Claude, and Grok. CitedSpy
• modelmention.io — Another straightforward option focused specifically on visibility, position, share of voice, sentiment, and citations, with tracking across ChatGPT, Gemini, and Perplexity. ModelMention

If your primary question is literally “What % of AI answers mention us vs. Competitor A/B/C?”, I'd start with Peec or Profound. If you just want to validate the concept before buying anything, try CitedSpy's free checker. AnswerManiac CitedSpy

One important caveat: don't rely on a single ChatGPT query. AI answers are nondeterministic, and different engines can surface substantially different brands and sources. A meaningful measurement should use many buyer prompts, repeated runs, multiple engines, and a consistent competitor set/time window. Verity Score foglift.io

If you tell me your brand + 3–5 competitors + industry, I can also recommend which of these tools is the best fit and what metrics I'd track.

If your goal is specifically “How often does AI recommend us vs. competitors?”, you’re looking for an AI search visibility / GEO monitoring platform. These tools repeatedly run buyer-intent prompts and measure mentions, position, share of voice, sentiment, and citations. AI Visibility Snapshot KITLabs

My shortlist

What I'd pick

For a B2B product where competitive visibility is the primary KPI, I'd start with Peec AI or Profound.

The dashboard you ultimately want should look something like:

Buyer prompt: “Best customer-support platforms for a 50-person SaaS company?”
ChatGPT: You #2 · Competitor A #1 · Competitor B #4
Perplexity: You #1 · Competitor B #2
Gemini: You absent · Competitor A #1
Overall AI share of voice: You 31% vs A 42% vs B 18%
Citation share: You 24% vs A 39%
Trend: You +7 pts over 30 days

That's much more useful than simply counting whether your company name appears.

One important caveat: don't judge a tool by its aggregate “AI visibility score.” AI responses vary substantially by prompt and engine; recent testing found that the same brands were named across all three of ChatGPT, Perplexity and Gemini only about 21% of the time. Reddit You want the underlying prompt × model × competitor data.

If you tell me your product category, roughly how many competitors you want to track, and your monthly budget, I can narrow this to the best 2–3 options and compare their current pricing/features.

Yes — this is now a distinct software category usually called AI visibility / AI search visibility / GEO tracking. For your specific use case—“How often does our product get mentioned or recommended in AI answers vs. competitors?”—I’d shortlist these:

My top two

1. tryprofound.com — best if this is strategically important

Profound is particularly strong for your exact question. It can compare your brand against competitors at the prompt level, across platforms including ChatGPT, Gemini, Perplexity, Google AI Overviews, Copilot, Grok and others. It also reports visibility rank, citation share, share of voice and sentiment. Profound

The useful distinction is that it can identify who is actually competing with you in AI answers, rather than relying solely on the competitor list you give it. Profound

2. peec.ai — probably the easiest starting point

Peec is very close to your stated requirement: it calculates the percentage of AI responses mentioning your product, average position, sentiment and share of voice versus competitors. You can also break results down by AI model and track the prompts that matter to your customers. Peec AI Peec AI

It runs tracked prompts daily, which makes it useful for watching whether your share is actually improving over time. Peec AI

What I'd measure

Don't just track raw mentions. I'd build your dashboard around:

• AI visibility: % of relevant answers mentioning your product
• Share of voice: your mentions ÷ all relevant competitor mentions
• Recommendation rate: % of answers that actually recommend you
• Average position: #1 vs. #3 matters enormously
• Competitor win rate: % of prompts where Rival A appears but you don't
• Sentiment / narrative: how AI describes your product
• Citation share: how often your domain/content is cited
• Prompt-level performance: exactly which buyer questions you're winning or losing

For example, instead of saying “we were mentioned 800 times,” I'd want to see:

Your product: 38% AI share of voice
Competitor A: 31%
Competitor B: 19%
Competitor C: 12%

Across 1,200 high-intent buyer prompts, you were recommended in 44% of answers and ranked #1 in 21%.

That gives your marketing team something much closer to a Google Search Console / Ahrefs-style competitive dashboard for AI answers.

One important caveat: AI visibility is volatile. Recent analysis has shown substantial changes in which sources get cited by ChatGPT over relatively short periods, so I'd evaluate vendors based on consistent prompt sets, multiple AI engines, historical data, and competitor benchmarking, rather than trusting a single “AI visibility score.” Axios

If I were buying today: I'd demo Profound and Peec side-by-side first. Profound is the stronger choice for a larger enterprise competitive-intelligence program; Peec looks particularly attractive if you want a straightforward visibility/share-of-voice product that the marketing team can start using quickly. Peec AI Profound

If you tell me your product category, approximate number of competitors, and whether you're SMB/mid-market/enterprise, I can narrow this to the 3 best options and compare pricing, AI engines, prompt limits, API/reporting, and competitor tracking.

If you’re a small ecommerce store and genuinely budget-constrained, I’d start with otterly.ai.

My ranking

1. Otterly.ai — best budget pick

• Starts at $29/month for 15 tracked prompts. CiteDaily AEO Labs
• Tracks mentions/citations and visibility across ChatGPT, Google AI Overviews, Perplexity and Copilot. CiteDaily
• Good for answering the basic question: “Are AI engines recommending/citing my store, and who are they recommending instead?”
• The downside: Gemini and Google AI Mode are paid add-ons, and the jump from 15 to 100 prompts is substantial. CiteDaily AEO Labs
• peec.ai — better if you can spend ~$95/mo

• Starter is $95/month for 50 prompts, 3 models and daily tracking. Peec AI
• Stronger reporting around share of voice, position, sentiment and the sources AI cites. Peec AI
• I'd choose this over Otterly if AI search is already generating meaningful sales for you and you want to optimize systematically.
• tryprofound.com — overkill for your situation

• Much more geared toward larger organizations and sophisticated AI-search programs. Current comparisons put its useful tiers well above what I'd recommend for a small store. Loudmink SEO Counselors

What I'd actually do

For a tight-budget ecommerce store, don't try to track hundreds of prompts. Start with ~15 highly commercial questions, such as:

• “best [product category] for [use case]”
• “[product category] alternatives”
• “best [product category] under $100”
• “where to buy [product]”
• “[competitor] alternatives”
• “best [product type] for [customer type]”

Track your store plus 3–5 competitors.

Then watch three numbers:

AI citation share → brand mention rate → position/recommendation frequency

The important distinction is that being mentioned isn't the same as being cited as a source. For ecommerce, I would particularly care about which third-party sites AI is using to form its recommendation—because those are often the sites you need to get your products/brand mentioned on.

Bottom line:

• <$50/mo: Otterly
• ~$100/mo and want better citation intelligence: Peec
• >$300/mo: only consider the heavier platforms if AI search is already a significant acquisition channel.

If you tell me your monthly budget (e.g. $30, $50, $100) and what you sell, I can narrow this down to the best option and tell you exactly what prompts I'd track.

For a small ecommerce store on a tight budget, I’d start with otterly.ai.

My ranking

1. OtterlyAI — best budget pick

• Entry plan is around $29/month for a small set of tracked prompts. AEO Labs Loudmink
• Tracks share of voice, mentions, competitors, sentiment, and the actual URLs AI engines cite. Otterly
• Covers ChatGPT, Google AI Overviews, Perplexity and Copilot on the entry tier; additional engines can cost extra. AEO Labs
• Particularly relevant for ecommerce because it now has AI Shopping Analytics, including how products surface and which retailers appear alongside you. Otterly
• Downside: 15 prompts isn't much, so you'll need to be selective about the questions you monitor.
• peec.ai — better if you can spend ~$90–100/month

• More attractive once you need a larger prompt set and deeper citation/source analysis.
• Several 2026 comparisons put it around $95/month at entry, with more substantial multi-engine monitoring. AEO Labs AEO Labs
• I'd choose this over Otterly if AI search is already producing meaningful revenue for you.
• tryprofound.com — overkill for you

• Excellent enterprise-level visibility/citation intelligence, but the economics don't make much sense for a small store. Loudmink SEO Counselors

What I'd actually track

Don't waste your 15 Otterly prompts on generic searches like "best running shoes." Build prompts around commercial intent and product discovery, e.g.:

• "Best [product category] for [use case]"
• "[Product category] brands recommended for [customer type]"
• "What are the best alternatives to [competitor]?"
• "Where can I buy [product type]?"
• "[Your brand] vs [competitor]"
• "Best [product category] under $X"
• "What should I look for when buying [product]?"

Then watch three numbers:

AI citation share → competitor citation share → which URLs are being cited.

The third one is arguably the most actionable. If ChatGPT consistently cites a competitor's buying guide while ignoring your product/category page, you've learned where your content/authority gap is—not merely that you have an AI visibility problem. Otterly explicitly reports the cited URLs and competitor citations. Otterly

Bottom line: If your budget ceiling is ~$30/month, pick Otterly. If you can justify ~$100/month and want more serious citation/share-of-voice analysis, pick Peec. I wouldn't spend enterprise money on Profound for a small ecommerce operation.

If you tell me what you sell + your monthly AI/SEO budget, I can also tell you exactly which 15 prompts I'd put into Otterly to get the most useful citation-share baseline.

Yes. If your goal is specifically “we changed a piece of content → did our AI share of voice/citation share improve?”, I’d look at dedicated AI-visibility/GEO platforms rather than traditional SEO rank trackers.

My shortlist

What I'd choose

For your exact use case, I'd start with Peec or Profound.

The important capability isn't simply tracking whether your brand is mentioned. You want the tool to preserve a stable prompt set and let you compare:

Pre-update: Brand SOV = 12%
Content update: revised comparison page
Post-update: Brand SOV = 21%
Change: +9 percentage points

Ideally, you also want citation share, competitor share, answer position, sentiment, and which URLs the AI cited.

That's important because AI visibility can move substantially even without changes to your site. Recent data, for example, showed Reddit's share of ChatGPT citations falling sharply over a few weeks—illustrating how volatile these measurements can be. Axios

One thing I'd insist on

Don't evaluate these tools based on a single “AI visibility score.” Set up an experiment framework:

1. Freeze 50–200 representative buyer prompts.
2. Record baseline SOV/citation share for 2–4 weeks.
3. Update specific pages.
4. Keep the prompt set unchanged.
5. Continue measuring for several weeks.
6. Compare treated pages/topics vs. untouched pages/topics where possible.
7. Look at citations, not just mentions.

That gives you a much better answer to “did our content change cause AI visibility to improve?” rather than merely “did our AI score go up?”

If you tell me your company size, approximate monthly budget, and whether you're optimizing for ChatGPT only or ChatGPT + Google AI Overviews + Perplexity, I can narrow this to the best 2–3 options and compare their measurement capabilities.

The important capability isn't simply tracking whether your brand is mentioned. You want the tool to preserve a stable prompt set and let you compare:

Pre-update: Brand SOV = 12%
Content update: revised comparison page
Post-update: Brand SOV = 21%
Change: +9 percentage points

Ideally, you also want citation share, competitor share, answer position, sentiment, and which URLs the AI cited.

That's important because AI visibility can move substantially even without changes to your site. Recent data, for example, showed Reddit's share of ChatGPT citations falling sharply over a few weeks—illustrating how volatile these measurements can be.

One thing I'd insist on

For long-tail / niche SaaS queries, I’d shortlist these:

1. peec.ai — probably the best fit. It tracks Share of Voice at the individual-prompt level, lets you build a prompt library, compares competitors, and tracks visibility/position across AI models. Its docs also mention prompt-level search-volume estimates and query-fanout data, which is particularly useful when your keywords are niche rather than high-volume head terms. Peec AI Peec.ai Docs GlobeNewswire
2. otterly.ai — strong alternative. You can manually add the exact natural-language prompts you care about and monitor them daily. It reports brand coverage, mentions, competitors, citations, and SoV, with breakdowns by prompt and engine. Otterly OtterlyAI

My pick for your use case

If you're trying to answer something like:

“For 200 highly specific SaaS buyer queries, what % of AI answers mention us vs. G2, Capterra, Competitor X, etc.?”

I'd start with Peec AI. Its prompt-centric model and per-prompt SoV are closer to measuring long-tail AI query share of voice than traditional SEO rank trackers. Peec AI Peec.ai Docs

One important distinction: AI SoV isn't the same as Google keyword SoV. These tools generally track the exact prompts you submit and the resulting AI answers, so for niche SaaS you want a tool that lets you maintain a sufficiently large custom prompt set rather than relying primarily on estimated search volume.

If you tell me roughly how many long-tail queries (e.g. 100, 1,000, 10,000) and which AI surfaces you care about (ChatGPT, Google AI Overviews, Perplexity, Claude, etc.), I can narrow it down to the best tool and plan.

If you mean “track a defined set of niche SaaS buyer queries and tell me what % of AI answers mention my product vs competitors”, the strongest fits right now are:

• otterly.ai — probably the best starting point for a niche SaaS. It explicitly tracks share of voice by prompt, AI engine, and market, plus competitor mentions and citation URLs. It can monitor ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. Otterly
• peec.ai — particularly worth looking at if your focus is B2B SaaS + competitor share of voice and you want a straightforward monitoring workflow. DeepSmith
• tryprofound.com — better if you need enterprise-grade analysis, broader engine coverage, citation analysis, and deeper reporting. DeepSmith DataDab
• similarweb.com — interesting if you want to connect AI visibility/SOV with traffic and broader competitive intelligence, rather than just monitor prompts. Prism News Prism News

For your specific use case

I'd shortlist Otterly vs. Peec first.

The important distinction is that you don't really want a generic “AI visibility score.” For niche SaaS keywords, you want to be able to define a prompt universe such as:

• “best [category] software for [ICP]”
• “[competitor] alternatives”
• “tools for [specific workflow]”
• “best [category] for startups”
• “[category] software under $X”
• “[pain point] software”
• “[use case] platforms”

…and then see something like:

That's much more actionable than simply asking whether your domain is “visible.”

Otterly is the one I'd test first for this exact requirement because its documentation explicitly supports SOV broken down by prompt + engine + market, and its Gap Analyzer identifies prompts where competitors appear and you don't. Otterly

One caveat: “keyword” in AI search isn't quite the same thing as an SEO keyword. The best tools measure a prompt/query set, so if you have 100 niche SaaS keywords, I'd want a tool that lets you turn those into multiple buyer-intent prompts rather than simply checking one exact phrase.

If you tell me your SaaS category + roughly how many keywords/prompts you need to track, I can narrow this down to the best 2–3 tools and compare pricing, prompt limits, engines, SOV methodology, and API/export options.

If your priority is comparing AI share of voice across countries and languages, I’d shortlist these:

1. Profound — my first choice

Profound is probably the closest match if you need a global AI SOV operating system, rather than just an AI rank tracker.

Its Answer Engine Insights supports Share of Voice, visibility, citations and positioning, with filters for regions, platforms, prompts, topics and personas. More importantly for your question, Profound says it supports 30+ languages and 150+ regions. Profound Profound Knowledge Base

You can therefore construct something like:

Brand × Country × Language × AI engine × Topic × Competitor → AI Share of Voice

It also has a dashboard specifically designed for SOV reporting and filtering by regions. Profound

Best if: you're a multinational brand and want to answer questions such as “Why are we 31% SOV in Germany but only 8% in France?”

2. Peec AI — particularly good for country comparisons

Peec is the one I'd demo alongside Profound.

It explicitly tracks visibility, position, sentiment and Share of Voice, and lets you benchmark competitors across AI engines. Peec AI

What's particularly relevant is its country-gap workflow: Peec can break brand visibility and SOV down by country code, then identify which competitor dominates each market. Peec AI

Best if: your main question is “Which countries are we losing AI visibility in, and to whom?”

3. Semrush — best if you want AI + conventional search

If your organization already uses Semrush, I'd seriously consider consolidating there. Semrush has been moving aggressively into AI Visibility/GEO while retaining its traditional international SEO capabilities. MarketsandMarkets

The advantage isn't necessarily that its AI SOV measurement is superior to Profound/Peec; it's that you can compare:

Google organic SOV → AI SOV → traffic → competitors

within a broader search intelligence stack.

One important caveat

Don't treat "AI Share of Voice" as a standardized industry metric. Different vendors calculate it differently. For example, Profound defines SOV as your brand's mentions divided by total brand mentions across the tracked answers, while other vendors use position-weighted or impression-like methodologies. Profound Knowledge Base Verity Score

For a serious multinational measurement program, I'd therefore insist that the vendor lets you inspect:

• Exact prompts being measured
• Country/locale used when querying the model
• Language of the prompt and language of the answer
• AI engine/model
• Competitor set
• Raw answer/mention data
• SOV calculation methodology
• Sampling frequency
• Historical data
• Ability to export data/API it
• Consistent prompt sets across markets

Otherwise, an apparent "France vs Germany SOV gap" can partly be a measurement-design artifact.

My ranking for your specific requirement

If you're evaluating software today:

1. 🥇 Profound — strongest fit for enterprise, multilingual, multi-country AI SOV
2. 🥈 Peec AI — excellent for country-by-country competitor gaps and easier operational analysis
3. 🥉 Semrush — strongest if AI visibility needs to sit alongside international SEO
4. Similarweb — especially interesting if market/traffic intelligence matters as much as SOV
5. OtterlyAI — good if you want a more lightweight monitoring solution

If you tell me roughly how many countries/languages you need (e.g. 10 vs 50), your company size, and whether you care about ChatGPT/Claude/Gemini/Perplexity/Google AI Overviews, I can narrow this to 2–3 platforms and compare their actual geographic, language, prompt, API, and enterprise capabilities.

You can therefore construct something like:

Brand × Country × Language × AI engine × Topic × Competitor → AI Share of Voice

It also has a dashboard specifically designed for SOV reporting and filtering by regions. Profound

Best if: you're a multinational brand and want to answer questions such as “Why are we 31% SOV in Germany but only 8% in France?”

2. Peec AI — particularly good for country comparisons

Peec is the one I'd demo alongside Profound.

It explicitly tracks visibility, position, sentiment and Share of Voice, and lets you benchmark competitors across AI engines. Peec AI

What's particularly relevant is its country-gap workflow: Peec can break brand visibility and SOV down by country code, then identify which competitor dominates each market. Peec AI

Best if: your main question is “Which countries are we losing AI visibility in, and to whom?”

3. Semrush — best if you want AI + conventional search

If your organization already uses Semrush, I'd seriously consider consolidating there. Semrush has been moving aggressively into AI Visibility/GEO while retaining its traditional international SEO capabilities. MarketsandMarkets

The advantage isn't necessarily that its AI SOV measurement is superior to Profound/Peec; it's that you can compare:

Google organic SOV → AI SOV → traffic → competitors

within a broader search intelligence stack.

One important caveat

Don't treat "AI Share of Voice" as a standardized industry metric. Different vendors calculate it differently. For example, Profound defines SOV as your brand's mentions divided by total brand mentions across the tracked answers, while other vendors use position-weighted or impression-like methodologies.

For a serious multinational measurement program, I'd therefore insist that the vendor lets you inspect:

If your specific requirement is AI share of voice by geographic market and language, I’d narrow the field pretty aggressively. The best options in 2026 are:

1. Peec AI — my first choice

peec.ai

This is probably the closest match to what you're describing. Peec emphasizes competitor share-of-voice, sentiment, citations, and 100+ languages with country-level breakdowns. It also has API/CSV/Looker Studio capabilities, which matters if you're going to build a global AI-search dashboard. Loudmink

I'd shortlist it if you want to answer questions like:

• What is our AI SOV in US vs Germany vs France vs Japan?
• How does SOV change when the prompt is asked in English vs German vs French?
• Which competitors gain visibility in each market?
• Which AI engines behave differently by market?
• Which sources are responsible for our visibility in each country?

Best fit: multinational B2B, SaaS, ecommerce, or agency teams where multilingual/country comparison is a core requirement.

2. Profound — best for enterprise-scale intelligence

tryprofound.com

I'd choose Profound over Peec if you're a large enterprise and care about very deep AI-search analytics, large prompt sets, citation/source intelligence, and broad engine coverage. Current comparisons put it at the enterprise end of the market, with substantially deeper analytics than the inexpensive trackers. Sapian Metrics Marqeable

The tradeoff is that it can be substantially more expensive, and some of the strongest capabilities sit behind higher tiers/custom enterprise arrangements.

Best fit: global brands with dedicated SEO/GEO teams and a serious data/analytics requirement.

3. Otterly — good if cost matters

otterly.ai

Otterly is compelling if you want a relatively inexpensive way to establish an AI-SOV baseline. It tracks major AI surfaces, competitor mentions and citations, but its analytics are generally less sophisticated than Peec or Profound. licheo.com Marqeable

Best fit: one or a few markets, smaller prompt sets, or a team experimenting with GEO before committing to an enterprise platform.

What I'd actually buy

If geographic × language comparison is the primary requirement, my ranking would be:

Peec → Profound → Otterly

The important distinction is that I wouldn't select a tool merely because it says it supports "multiple countries." You want the underlying data structured something like:

Brand × competitor × engine × country × language × prompt × date

That lets you calculate a genuinely useful AI SOV rather than a generic "visibility score."

For example:

That market × language × engine matrix is much more actionable than one global AI visibility number.

One other important consideration: AI responses are nondeterministic, so a serious measurement system should run prompts repeatedly and report trends/ranges rather than treating one answer as ground truth. Verity Score

If you tell me your approximate number of countries/languages (e.g. 10 countries × 5 languages) and whether this is B2B, ecommerce, or local SEO, I can give you a much more specific shortlist—including which platform has the best geographic/language granularity and API/reporting for that setup.

I’d recommend peec.ai for this specific use case.

It is built around AI share of voice, not just generic brand monitoring: you can track your brand against named competitors across AI engines, see where you’re gaining/losing visibility, and monitor the same prompt set over time. Peec says its metrics update daily and include visibility, position, sentiment, and share of voice. Peec AI Peec AI

Why I’d pick it

• Direct competitor SOV: See your percentage of AI mentions versus competitors. Peec AI
• Drop detection: Track trends over time so a decline in visibility becomes apparent rather than relying on occasional manual checks.
• Prompt-level diagnosis: You can identify the specific customer questions where competitors are appearing and you're not.
• Multiple AI surfaces: It tracks major environments including ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode. Peec AI
• Actionable competitive gaps: It also identifies sources/citations that competitors are getting but you aren't, which is useful for figuring out why your SOV dropped. Peec AI

One caveat: if the requirement is specifically “send me a Slack/email alert the moment our SOV falls below X% or drops X points versus competitor Y,” I’d verify the alerting/threshold functionality during a trial rather than assuming that every SOV tracker supports that exact trigger.

If you want enterprise-grade monitoring and more sophisticated alerting/reporting, I’d also put tryprofound.com on the shortlist. It explicitly supports competitor comparisons and SOV tracking. Profound

My pick: Peec for a marketing team that wants a practical competitive SOV dashboard; Profound if this needs to become a formal enterprise intelligence system.

If your specific requirement is “alert me when our AI share of voice drops relative to key competitors,” I’d shortlist these:

My pick: peec.ai

Peec is probably the cleanest fit for a marketing team that wants competitive AI visibility monitoring + alerts without building the workflow yourself.

• Tracks share of voice against named competitors across AI platforms. Peec AI Peec AI
• Lets you track the same prompt set over time, so you're comparing apples to apples.
• It has a documented workflow for daily competitor-surge alerts in Slack, including which models and prompts a competitor gained on. Peec AI
• It can also identify sources where competitors are cited but you aren't, which makes the alert actionable rather than just “SOV fell.” Peec AI

A useful alert I'd configure:

“Alert me in Slack if our 7-day AI share of voice falls ≥5 percentage points versus the previous 7 days, or if any key competitor gains ≥5 points relative to us. Include the affected AI models, prompts, and competitor citations.”

If you're enterprise: tryprofound.com

Profound is the stronger choice if you need deeper enterprise-grade competitive intelligence. It tracks share of voice, visibility rank and citation share across major AI platforms, and its monitoring can trigger alerts when visibility falls below a threshold. Profound Profound Knowledge Base

Quick decision

One important distinction: don't alert merely when your absolute mentions fall. AI answers fluctuate. Alert on relative SOV vs. competitors over a rolling window, ideally with a minimum percentage-point change, so you don't get flooded with noise.

Yes. If by “historical AI answer data” you mean a stored corpus of past ChatGPT/Claude/Perplexity/Gemini/AI Overview answers, there’s now a fairly mature category of software for this.

Best fits

For example, OtterlyAI explicitly stores generated answers and calculates each brand's share of answers, with trend lines that can be broken down by prompt, engine and market. Otterly

Visibility.so is particularly close to what you're describing: it offers historical trends showing how AI presence changes week over week, alongside competitor SOV and the underlying exact answers. Visibility.so

If you already have the historical answer data

This is an important distinction. If you already possess the raw historical answers—rather than wanting a platform to continuously collect them—I'd look for software that can ingest/import historical observations, rather than simply buying an AI-monitoring crawler.

The metric you probably want is something like:

Competitor SOV at time T = competitor mentions / total competitor mentions across the defined prompt set

Then plot it by week/month × competitor, with separate cuts for:

• AI engine
• prompt/topic
• customer intent
• geography
• answer position
• mention vs. citation
• sentiment
• your brand vs. each competitor

That distinction matters because “share of answers mentioning us” and “share of all brand mentions” can produce very different numbers. OtterlyAI, for example, explicitly distinguishes Brand Coverage from Share of Voice. Otterly

My shortlist

If your primary question is “Which competitors are gaining/losing AI share of voice over time?”, I'd start with:

1. OtterlyAI — best straightforward SOV/trend product.
2. Profound — strongest choice if this is an enterprise competitive-intelligence program.
3. Peec AI — good middle ground for marketing/GEO teams.
4. Visibility.so — particularly attractive if historical trend visualization is the core requirement.
5. Similarweb — best if you want AI visibility integrated with broader market/traffic intelligence.

There are also newer tools specifically positioning themselves around stored historical AI answers rather than live dashboard queries; SearchDock, for example, calculates SOV from previously captured answers and keeps per-engine historical series. SearchDock

If you tell me what your historical data looks like (e.g. CSV of prompts + answers + dates, or data already collected from ChatGPT/Perplexity/etc.), I can narrow this to the 3 tools that can actually work with your existing dataset, rather than tools that require you to start collecting data from scratch.

The metric you probably want is something like:

Competitor SOV at time T = competitor mentions / total competitor mentions across the defined prompt set

Then plot it by week/month × competitor, with separate cuts for:

Yes. There are now several tools specifically designed to feed AI-search / LLM Share of Voice (SOV) metrics into an existing analytics and reporting stack, rather than making you maintain another dashboard.

A few worth looking at:

• developer.meltwater.com — Good if you're already in the Meltwater ecosystem. Its API exposes AI Share of Voice, trends, mentions, sentiment, citations, and competitor data. Meltwater Developer Portal
• demandsphere.com — Particularly interesting for an existing enterprise analytics stack. It combines traditional SERP data with LLM visibility and offers APIs plus integrations with BigQuery, Looker Studio, Tableau, DOMO, etc. DemandSphere DemandSphere
• peec.ai — API/CSV exports designed to feed BigQuery, Tableau, Power BI and custom dashboards, with AI visibility, sentiment and SOV metrics. Peec AI
• searchable.com — Enterprise-oriented option with REST API, Looker integration and connectors around GA4/GSC, plus AI SOV and citation share. Searchable
• seoclarity.net — Worth considering if you already use seoClarity. Its API is specifically designed to pipe AI visibility, competitor and SOV data into internal BI. seoClarity
• qwairy.co — Native connectors for Looker Studio, Power BI and Tableau, alongside a REST API and webhooks. Qwairy

If your goal is "add AI SOV to our existing reporting"

I'd narrow the evaluation based on your current stack:

The important distinction is that you want raw/structured SOV data via API or warehouse, not merely a vendor's reporting dashboard. That lets you combine something like:

AI Share of Voice + organic visibility + traffic + conversions + revenue

in the same reporting model.

For example, SearchFIT explicitly offers REST API access to SOV/rankings across ChatGPT, Perplexity and Gemini, while Prominence AI exposes SOV, share of mentions, average position and citations with filtering by model, prompt segment, market and time period. SearchFIT Prominence AI

If you tell me what your current analytics stack is (e.g. GA4 → BigQuery → Looker, Snowflake → Tableau, Power BI, Domo, etc.), I can narrow this to the 2–3 best integrations and show exactly how the data would flow into your existing reporting model.

Yes. This has become its own category of software, often called AI visibility, AI Share of Voice (AI SoV), or Generative Engine Optimization (GEO) platforms.

The more advanced products do much more than tell you whether a competitor is winning—they explain which content is winning, for which prompts, on which AI engines, and why. Slate arXiv

Here's what the best solutions typically provide:

Some of the leading platforms include:

• Profound — Enterprise-focused AI visibility platform with deep competitor and citation tracking.
• Semrush AI Visibility Toolkit — Good if you're already using Semrush; combines AI visibility with traditional SEO workflows. TechRadar Reddit
• Ahrefs Brand Radar — Tracks brand mentions and AI visibility alongside backlink and keyword data. TechRadar
• Peec AI — Focused on monitoring AI answer visibility across multiple models.
• Otterly AI — Tracks prompts, citations, and brand visibility.
• Slate — Combines AI Share of Voice monitoring with content recommendations. Slate

What a good workflow looks like

Instead of asking "What keywords rank?", these platforms answer questions like:

• "For 'best CRM for startups,' ChatGPT recommends HubSpot, Notion, and Attio."
• "HubSpot is cited 62% of the time."
• "The pages being cited are comparison pages and implementation guides."
• "Your site has no equivalent content."
• "Creating these three assets would increase your likelihood of being cited."

That moves the conversation from SEO rankings to AI recommendation market share.

The feature I'd prioritize

If competitor intelligence is your primary goal, look for a tool that can show:

• the exact prompt that triggered the answer
• the full AI response
• every cited source
• which competitor page was referenced
• why that page was selected (freshness, structure, authority, comprehensiveness)
• how your page differs

Those insights are much more actionable than a simple "you have 18% AI share of voice."

If you're evaluating vendors

I'd shortlist them based on these five capabilities:

1. Multi-model coverage (ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews).
2. Competitor content and citation tracking (not just brand mentions).
3. Prompt-level historical trends.
4. Automated content gap recommendations.
5. API or data export for integrating with your analytics stack.

This category is evolving quickly, but the strongest products have shifted from simply measuring visibility to helping teams understand why competitors are being cited and what content to build to win those AI answers. Slate arXiv

Yes. This has become its own category of software, often called AI visibility, AI Share of Voice (AI SoV), or Generative Engine Optimization (GEO) platforms.

The more advanced products do much more than tell you whether a competitor is winning—they explain which content is winning, for which prompts, on which AI engines, and why. Slate arXiv

Here's what the best solutions typically provide:

Some of the leading platforms include:

• Profound — Enterprise-focused AI visibility platform with deep competitor and citation tracking.
• Semrush AI Visibility Toolkit — Good if you're already using Semrush; combines AI visibility with traditional SEO workflows. TechRadar Reddit
• Ahrefs Brand Radar — Tracks brand mentions and AI visibility alongside backlink and keyword data. TechRadar
• Peec AI — Focused on monitoring AI answer visibility across multiple models.
• Otterly AI — Tracks prompts, citations, and brand visibility.
• Slate — Combines AI Share of Voice monitoring with content recommendations. Slate

What a good workflow looks like

Instead of asking "What keywords rank?", these platforms answer questions like:

• "For 'best CRM for startups,' ChatGPT recommends HubSpot, Notion, and Attio."
• "HubSpot is cited 62% of the time."
• "The pages being cited are comparison pages and implementation guides."
• "Your site has no equivalent content."
• "Creating these three assets would increase your likelihood of being cited."

That moves the conversation from SEO rankings to AI recommendation market share.

The feature I'd prioritize

If competitor intelligence is your primary goal, look for a tool that can show:

• the exact prompt that triggered the answer
• the full AI response
• every cited source
• which competitor page was referenced
• why that page was selected (freshness, structure, authority, comprehensiveness)
• how your page differs

Those insights are much more actionable than a simple "you have 18% AI share of voice."

If you're evaluating vendors

I'd shortlist them based on these five capabilities:

1. Multi-model coverage (ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews).
2. Competitor content and citation tracking (not just brand mentions).
3. Prompt-level historical trends.
4. Automated content gap recommendations.
5. API or data export for integrating with your analytics stack.

This category is evolving quickly, but the strongest products have shifted from simply measuring visibility to helping teams understand why competitors are being cited and what content to build to win those AI answers. Slate arXiv

Yes. For a local business website, I’d focus on tools that track both brand mentions and the actual URLs AI assistants cite, not just generic “AI visibility.”

My picks

1. otterly.ai — best overall for a local business

• Tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude.
• Shows which pages on your site are actually cited, how often, competitors being cited instead, and share of voice.
• Runs tracked prompts daily.
• Particularly useful if you're trying to answer questions like “Who does ChatGPT recommend for [service] near [city]?” Otterly Otterly
• Current comparisons put its entry point around $29/month, making it considerably more approachable than enterprise platforms. Citation Hawk ToolChase
• peec.ai — best for deeper GEO analysis

• Strong choice if you want to understand why competitors are being cited instead of you and analyze citation/content gaps.
• It covers major AI surfaces including ChatGPT, Perplexity, Gemini, Copilot and Google's AI experiences. Citation Hawk Kitbase
• I'd choose this over Otterly if you're doing serious ongoing content/GEO work rather than simply monitoring your visibility.
• semrush.com — best if you already use Semrush

• Its AI Visibility Toolkit combines AI visibility with traditional SEO, competitor research and site auditing.
• Particularly attractive if you don't want another standalone SaaS subscription. Current comparisons put the AI toolkit around $99/month. Citation Hawk
• ahrefs.com — best for an existing Ahrefs user

• Worth considering if your SEO work already lives in Ahrefs.
• Its AI visibility capabilities are increasingly integrated with its broader SEO data, but I'd pick Otterly/Peec if AI citation monitoring itself is your primary objective. ToolChase

What I'd use for a local business

For example, suppose you own a roofing company in Leesburg.

I'd create prompts such as:

• “Best roofing companies in Leesburg VA”
• “Who should I call for a roof replacement in Leesburg?”
• “Best roof repair company near Leesburg”
• “Most reliable roofing contractors in Loudoun County”
• “How much does roof replacement cost in Leesburg VA?”
• “Roofing companies with the best reviews in Northern Virginia”

Then track weekly/daily:

AI platform → Was I mentioned? → Was my website cited? → Which URL? → Position/order → Which competitor appeared? → What source did the AI use instead?

That last part is crucial. A tool telling you “your AI visibility is 14%” is much less useful than telling you:

ChatGPT recommended Competitor A 7/10 times and cited their /roof-replacement/ page. Your site appeared 2/10 times, but when it did, it cited /services/roofing/.

That gives you something actionable.

My recommendation

Start with OtterlyAI. It's the best fit if your main question is “How often are AI assistants mentioning my local business and citing my website?” Its website-citation tracking specifically records the URLs AI engines use, rather than treating every brand mention as equivalent. Otterly

If you're an SEO agency managing multiple local businesses, I'd look more closely at Peec AI or an agency-oriented platform because reporting and multi-client management become more important.

If you tell me what type of local business you have and roughly how many locations/websites you're monitoring, I can narrow this down to the best 2–3 options and compare price, local-search tracking, citation-level data, competitor tracking, and agency reporting.

If you mean AI Share of Voice (AI SOV) — measuring how often your brand/content is surfaced, mentioned, or cited in AI-generated answers after AI engines retrieve information — you’re looking for GEO (Generative Engine Optimization) / AI visibility tracking platforms rather than traditional SEO crawlers. These tools typically run a set of prompts against AI engines, capture responses and citations, and calculate metrics like mention rate, citation share, competitor visibility, and source URLs. Daily.dev Shadow

Some of the main options:

What to look for specifically

For your use case (“after crawling” and “how often our content is surfaced”), prioritize tools that provide:

• Citation-level tracking: “Did ChatGPT cite our URL?” rather than only “Did it mention our brand?”
• Prompt panels: a fixed set of buyer queries tracked over time.
• Engine coverage: - ChatGPT
• Perplexity
• Gemini
• Claude
• Google AI Overviews / AI Mode
• Copilot (if relevant)
• Competitor share comparison: your citation share vs. competitors.
• Source attribution: which pages, articles, reviews, or third-party sites are being pulled into answers. Shadow cloro

If you are coming from an SEO/content background

The closest mental model is:

• SEO ranking tools → “Are we ranking for keywords?”
• AI SOV tools → “When someone asks an AI assistant a relevant question, does it recommend or cite us?”

A typical KPI would be:

AI Citation Share = (AI answers citing your brand/content ÷ total relevant AI answers tracked) × 100

Most mature teams also separate:

• Brand mention share (named in the answer)
• Citation share (your URL/source used)
• Recommendation share (AI says you are a preferred option)
• Competitive displacement (competitor cited instead of you) organikpi.com

For a marketing team, I’d usually shortlist Profound, Ahrefs Brand Radar, Semrush, Peec AI, and Otterly.AI; for an enterprise content/GEO program, look harder at Profound or Scrunch. Geo Software Rankings Foglift

Yes — the category you’re looking for is usually called AI visibility / AI search monitoring / GEO (generative engine optimization) software.

The important distinction is that there are two related measurements:

1. AI Share of Voice (SOV): how often your brand/content is mentioned relative to competitors in AI-generated answers.
2. Citation/source visibility: how often the AI actually cites or links to your URLs as sources.

If your goal is specifically “we publish/crawl content → how often does that content subsequently get surfaced in AI answers?”, I’d look at these:

My shortlist

1. Profound — probably closest to what you're describing

Profound is particularly interesting if you want to connect content → AI crawler activity → AI answer visibility. Its positioning includes AI crawler analytics in addition to monitoring generated answers. That gives you more of the causal chain than a simple “does ChatGPT mention us?” tracker. Profound Geodocs

tryprofound.com

2. OtterlyAI — easiest if you mainly want the SOV number

Otterly runs your defined prompt set across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, then records mentions, rankings, citations and competitors. It explicitly calculates Share of Voice and Brand Coverage. Otterly Otterly AI

otterly.ai

The distinction is useful: Brand Coverage = percentage of answers where you appear; SOV = your proportion of the brand mentions within those answers. Otterly

3. Peec AI — worth evaluating alongside Profound

Peec is another purpose-built AI visibility platform focused on measuring how brands appear across AI engines and comparing them against competitors. It tends to be positioned between enterprise platforms like Profound and lighter-weight monitoring tools. Conbersa The Rank Masters

peec.ai

One important caveat

If by “after crawling” you literally mean:

We know an AI crawler visited URL X on Monday, and we want to know whether URL X subsequently appeared in AI answers on Tuesday/Wednesday.

That's a more sophisticated requirement than ordinary AI SOV tracking.

Most tools do:

Prompt → AI response → mention/citation → SOV

Whereas what you're describing is:

Your content → AI crawler discovers content → content enters model/search index → AI response → URL/content is surfaced → SOV

Profound is one of the more interesting options for the latter because it combines AI-answer monitoring with AI crawler analytics; Otterly, for example, explicitly focuses on answer/citation visibility rather than showing which AI crawlers visited which pages. Profound

So if you tell me whether you're measuring a brand, a large content site/publisher, or an SEO/content agency, I can narrow this down to the 2–3 products that actually fit your use case, including what each one can and can't attribute at the URL/content level.

For a small marketing team trying to monitor AI share of voice (SOV) across multiple LLMs (ChatGPT, Claude, Gemini, Perplexity, Copilot, AI Overviews, etc.), I’d prioritize tools that do three things:

1. Track a fixed set of buyer prompts (“best CRM for startups,” “alternatives to X,” “top vendors in Y”)
2. Measure brand mentions vs competitors
3. Show citations/sources so your team knows what content is influencing AI answers

The market is still evolving, but these are the strongest fits. Slate Semrush

Prism News Semrush## My shortlist by team size/budget

Best overall for a small marketing team

Peec AI or Otterly.AI

Good fit if you have:

• 1–5 marketers
• 25–200 important prompts to track
• 5–10 competitors
• Monthly reporting needs

You’ll get the core question answered: “When prospects ask AI about our category, how often do we appear?” Slate Spawned

Best if you already pay for SEO software

Semrush

Choose this if your team already uses SEO, content, or competitive research workflows. The advantage is connecting AI visibility with existing search data instead of creating another dashboard. Semrush

Best if leadership wants enterprise-grade reporting

Profound

Better when you need:

• thousands of tracked prompts
• executive reporting
• detailed citation analysis
• larger competitive intelligence programs

It is likely overkill for most small teams. Built In

What I would measure first

Before buying, define a “prompt universe” of maybe 50–100 prompts:

• Category prompts: - “best [category] software”
• “top [category] providers”
• “alternatives to [competitor]”
• Buying-stage prompts: - “is [brand] worth it?”
• “[brand] vs [competitor]”
• “best solution for [use case]”

Track:

• AI Share of Voice: % of relevant answers mentioning you
• Position/share: Are you the first recommendation or buried?
• Citation share: Which websites AI models rely on when mentioning competitors
• Sentiment: Positive, neutral, negative descriptions
• Prompt gaps: Queries where competitors appear and you do not

My recommendation for most small teams

I’d start with:

1. Otterly.AI if you mainly need monitoring/reporting
2. Peec AI if you want a focused AI visibility dashboard
3. Semrush if your marketing stack already revolves around SEO
4. Upgrade to Profound only when AI visibility becomes a major acquisition channel

The biggest mistake is buying a tool before deciding which prompts actually represent your customers’ buying journeys. A smaller, well-designed prompt set usually gives more useful insight than thousands of generic queries. Spawned

If your goal is specifically “Are AI assistants mentioning us, and does that translate into incremental website traffic?”, I’d narrow the field to Profound, Peec AI, and Otterly.AI.

1. Profound — best if traffic uplift is the priority

tryprofound.com

This is the one I'd evaluate first if you're trying to connect AI visibility → actual site visits → business impact.

Profound's Answer Engine Insights tracks visibility, share of voice, positioning, sentiment, and citations across AI answer engines. More importantly for your use case, its Agent Analytics tracks AI-driven traffic to your site and attribution/conversions from that traffic. Profound Profound

It also has prompt-volume data based on real user conversations, which is useful for distinguishing “we're mentioned more” from “we're appearing for questions people actually ask.” Profound

I'd choose it if: you're going to report AI search as a real acquisition channel to marketing leadership.

2. Peec AI — best pure visibility/trend analytics

peec.ai

Peec is particularly good for answering:

• How often are we mentioned in ChatGPT?
• Which prompts produce those mentions?
• Where do we rank relative to competitors?
• What sentiment does the AI have toward us?
• Which websites are influencing/cited in the answers?
• Is our share of voice increasing over time?

It tracks visibility, position, sentiment and share of voice across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode and other engines. Peec AI Peec AI

I'd choose it if: your primary KPI is AI answer visibility / competitive share of voice, and you already have GA4 or another analytics stack for downstream traffic.

3. Otterly.AI — best lower-cost starting point

otterly.ai

Otterly is worth considering if you mainly need prompt monitoring, mentions, rankings, citations and competitor tracking without buying an enterprise platform. Current 2026 comparisons put its entry pricing substantially below Profound. Marqeable

I'd choose it if: you're testing whether AI visibility monitoring is worth institutionalizing before investing heavily.

The important distinction

I'd separate your measurement stack into two layers:

Layer 1 — “Did the assistant feature us?”

Track:

Prompt → AI engine → mention → position → citation → competitor mentions → sentiment

Profound and Peec are both strong here.

Layer 2 — “Did being featured actually drive incremental business?”

Track:

AI citation/mention → click → landing page → session → conversion → revenue

This is where Profound currently has the clearest native positioning, because it explicitly provides AI traffic attribution rather than stopping at visibility metrics. Profound

And I wouldn't use an AI visibility score alone as evidence of traffic uplift. A brand can go from 20% → 40% AI visibility without generating meaningful incremental visits if the answers don't expose/cite a clickable page, or if users don't click through.

My recommendation

If I were building this measurement program today:

1. Profound — primary platform if you have the budget and care about attribution.
2. Peec AI — strongest alternative if your emphasis is AI-answer trends, competitive visibility and source/citation intelligence.
3. GA4 + Search Console + your CRM — use these as the ground truth for actual traffic, leads and revenue.
4. Define a cohort of high-value commercial prompts and measure AI visibility before/after content or PR changes.
5. Separately track AI-referred sessions and conversion rate so you can calculate actual incremental value rather than reporting “AI mentions increased 32%.”

One particularly useful KPI would be AI-assisted revenue per 1,000 tracked prompts. That combines demand × visibility × click-through × conversion, and is much harder to game than a generic “AI visibility score.”

If you tell me your company type (B2B SaaS, ecommerce, media, etc.) and approximate monthly traffic, I can narrow this to the best 2–3 tools and give you a feature/pricing/measurement comparison.

I'd choose it if: you're testing whether AI visibility monitoring is worth institutionalizing before investing heavily.

The important distinction

I'd separate your measurement stack into two layers:

Layer 1 — “Did the assistant feature us?”

Track:

Prompt → AI engine → mention → position → citation → competitor mentions → sentiment

Profound and Peec are both strong here.

Layer 2 — “Did being featured actually drive incremental business?”

Track:

AI citation/mention → click → landing page → session → conversion → revenue

This is where Profound currently has the clearest native positioning, because it explicitly provides AI traffic attribution rather than stopping at visibility metrics.

And I wouldn't use an AI visibility score alone as evidence of traffic uplift. A brand can go from 20% → 40% AI visibility without generating meaningful incremental visits if the answers don't expose/cite a clickable page, or if users don't click through.

My recommendation

If I were building this measurement program today:

For a portfolio of ecommerce sites, I’d prioritize platforms that can do more than “did the brand get mentioned?” You want longitudinal tracking of:

• Share of voice across LLMs (ChatGPT, Gemini, Claude, Perplexity, Google AI features)
• Product/SKU mentions (not just brand mentions)
• Citation sources (which pages/domains are being trusted)
• Competitor movement
• Prompt-level trends over months/quarters
• Multi-brand dashboards and reporting

The market is still evolving, but these are the strongest fits today. ecommerceguide GrowByData

Best overall for an ecommerce portfolio: Profound

Best for: enterprise ecommerce groups, agencies, multi-brand operators

Why it stands out:

• Strong focus on measuring AI answer visibility over time
• Good for comparing many brands/categories
• Tracks where AI engines cite or mention you versus competitors
• Better suited to executive reporting than many newer GEO tools

Tradeoff:

• More of a measurement/analytics platform than an “auto-fix my catalog” tool. Shopify App Insights GrowByData

Best if you already run SEO: Semrush AI visibility features

Best for: teams already using Semrush for SEO, content, and competitive research

Advantages:

• Keeps traditional SEO and AI visibility data together
• Easier adoption for existing marketing teams
• Useful for correlating organic search trends with LLM visibility

Tradeoff:

• A dedicated LLM tracker may go deeper on prompt monitoring and AI-specific reporting. Sixthshop Red-engage

Best lightweight monitoring: Peec AI or Otterly.AI

Best for: smaller portfolios or getting started

Good for:

• Prompt tracking
• Competitor comparisons
• Regular visibility snapshots
• Lower operational overhead

Tradeoff:

• Less enterprise-grade workflow/reporting than platforms built for large organizations. Shopify App Insights Red-engage

Best ecommerce-specific optimization angle

For ecommerce specifically, look at platforms that connect visibility data to:

• product feeds
• schema markup
• catalog quality
• product descriptions
• availability/pricing signals

Several newer ecommerce-focused tools are moving in this direction because LLM shopping visibility depends heavily on structured product data, not only content. AI Visibility Software Ranketta

My shortlist by portfolio size

Metrics I’d actually put on a quarterly dashboard

1. AI Share of Voice

• % of tracked shopping prompts where your brands appear
• Citation Share

• % of cited URLs belonging to your domains
• Product Recommendation Rate

• % of category prompts where your SKUs appear
• Competitor displacement

• Which competitors replaced you in AI answers
• LLM referral revenue

• Sessions/orders influenced by AI assistants (where measurable)
• Prompt coverage

• Number of important buying-intent queries being monitored

For a portfolio owner, I would avoid buying a tool that only gives a “brand mentioned/not mentioned” score. The useful asset is a historical dataset of prompts, answers, citations, and competitor movement that you can analyze quarter over quarter. github.com

If your goal is long-term LLM visibility tracking across a portfolio of ecommerce sites, I’d shortlist Profound and Peec AI, with Profound as my first choice for a serious multi-site portfolio.

My ranking

1. Profound — best overall

For your use case, this is the one I'd evaluate first.

Profound tracks visibility, share of voice, citations, sentiment, positioning, competitors, regions and topics over time. More importantly for ecommerce, it has a dedicated Shopping product that goes down to the SKU level, tracking product placement, merchant attribution, product attributes and competitive positioning in ChatGPT Shopping. Profound Profound

It also runs tracked prompts daily and says it queries the actual consumer-facing experiences rather than relying solely on model APIs, which is valuable when you're trying to establish a consistent longitudinal dataset. Profound Profound Knowledge Base

Why I'd pick it for a portfolio:

• Multiple brands/sites and competitive sets
• Historical visibility/share-of-voice trends
• Engine-by-engine analysis
• Citation/source tracking
• Product/SKU-level ecommerce visibility
• AI crawler and AI traffic analytics
• Real prompt-volume data
• Stronger enterprise reporting/analysis

The big advantage is that you can eventually connect "Are we being seen?" → "Which products are being recommended?" → "Which sites are influencing the answers?" → "Is AI actually sending us traffic?"

tryprofound.com

2. Peec AI — probably the best alternative

I'd look very closely at Peec if your primary requirement is clean longitudinal visibility analytics rather than a broader enterprise AEO platform.

It explicitly tracks visibility, position, sentiment and share of voice, with daily trends and competitor comparisons. Its dashboard can be segmented by country, topic and model, which is particularly useful when you're managing multiple ecommerce categories/markets. Peec AI Peec.ai Docs

A particularly useful distinction is that Peec separates:

• Brand visibility — AI mentions your brand
• Source visibility — AI actually cites your domain/content

That distinction is extremely useful for ecommerce SEO because being mentioned by an LLM isn't necessarily the same thing as having your product/category pages become trusted sources. Peec.ai Docs

Peec has also added ecommerce-oriented product visibility, including individual-product appearance, win rate, position, share of voice and competitive products in AI shopping results. Peec AI

peec.ai

What I'd actually track

For a portfolio, I wouldn't make "LLM visibility" a single KPI. I'd build a portfolio-level AI visibility scorecard around:

1. Brand visibility %
2. Share of voice vs. competitors
3. Average answer position
4. Citation rate
5. Share of citations to your own domains
6. Product/SKU visibility
7. Category visibility
8. AI Shopping placement
9. Sentiment / attribute accuracy
10. AI-referred sessions and revenue
11. Visibility by engine
12. Visibility by country
13. Visibility by prompt/topic cluster

The important one for an ecommerce portfolio is SKU/category visibility over time. A site can have stable brand visibility while losing its most commercially important product queries to competitors.

Bottom line

If you have 5–50+ ecommerce sites/brands: I'd start with Profound.

If you want a more analytics-focused platform and potentially a simpler deployment: I'd trial Peec AI alongside it.

I would not choose purely based on how many LLMs a vendor claims to monitor. For a multi-year program, the more important question is whether the platform gives you stable prompt cohorts, historical data, competitor baselines, source/citation data, and product-level tracking. Those are what make the dataset useful 12–24 months from now. Peec.ai Docs Profound

If you're choosing this for an agency/portfolio company environment, I can also compare Profound vs Peec vs Otterly vs Scrunch specifically on multi-domain limits, historical data, API/export, pricing, and white-label reporting.

For an agency delivering monthly LLM visibility reports to clients, I’d prioritize tools with:

• Multi-client workspaces
• White-label dashboards or PDFs
• Automated monthly reporting
• Share-of-voice tracking across ChatGPT/Gemini/Perplexity/Claude/etc.
• Citation/source tracking (“why did the model recommend them?”)
• Client-friendly visuals (trend charts, competitor comparisons, scorecards)

The strongest options right now:

AI Visibility Software Demand Local, Inc.## My shortlist by agency type

1. Boutique agency (5–30 clients)

Best picks:

• Peec AI
• Otterly.AI
• Rank Prompt

Why:

• Easier client segmentation
• Faster monthly report creation
• Lower operational overhead
• Enough visuals for recurring retainers

Rank Prompt Demand Local, Inc.### 2. Premium SEO/AEO agency selling $2k–$10k/month retainers

Best pick:

• Profound

Why:

• More defensible reporting
• Better executive-level insights
• Stronger “why competitors win” analysis
• Better fit for enterprise stakeholders

CrowdReply### 3. Agency that wants a branded client portal

Look specifically at:

• Rank Prompt
• LLM Pulse

These focus more on reselling the reporting experience rather than just internal analytics. SEO for GPT Rank Prompt

Dashboard metrics I’d include in a monthly client report

A good LLM visibility dashboard should show:

1. AI Visibility Score

• Overall presence across tracked prompts
• Share of Voice

• Client mentions vs competitors
• Prompt Coverage

• % of target buyer questions where the brand appears
• Citation Performance

• Which websites/content sources AI models trust
• Competitor Movement

• “Competitor X gained 18% visibility this month”
• Recommended Actions

• Content gaps
• PR/link opportunities
• Entity/profile improvements

If I were building an agency reporting stack

A practical setup:

• Tracking: Peec AI or Profound
• Client-facing dashboard: Looker Studio / AgencyAnalytics-style portal
• Monthly PDF: Automated branded report
• Strategy layer: Human-written insights and recommendations

Avoid sending clients a raw “AI score.” The value is explaining:

“Your competitors are being cited for these topics, these sources influence AI answers, and here are the actions that can increase your probability of being recommended.”

For most agencies, I’d start by testing Peec AI vs Profound vs Rank Prompt because they map closest to the recurring client-reporting workflow. AI Visibility Software Rank Prompt

Yes — what you’re describing is usually called AI visibility / AEO (Answer Engine Optimization) tracking. The key distinction is whether the tool merely tells you “your brand was cited” or actually shows which source/page was used, what passage supported the answer, and what to change.

Best fits for your exact use case

The one I'd investigate first

MentionScout is particularly close to your wording. It says it shows the source behind every citation, the prompts where competitors win, and an evidence-backed fix. mentionscout.com

MentionScout

But there's an important nuance: “citation source” isn't necessarily the same thing as “exact snippet from my webpage that the model used.” AI systems frequently synthesize information from multiple retrieved passages, and some don't expose their underlying retrieval context.

If you need something more forensic — e.g.:

ChatGPT answer: “X is a good option for…”
Your page: /pricing
Likely supporting passage: paragraphs 3–4
Competitor passage used instead: /competitor/pricing
Recommended change: rewrite your paragraph to explicitly answer “Does X offer…?”

—I'd specifically evaluate tools based on whether they expose passage-level attribution/evidence, rather than simply buying an “AI visibility score.”

If you tell me what kind of content you have (SaaS website, blog, ecommerce, publisher, etc.) and whether you care about ChatGPT specifically or ChatGPT + Perplexity + Gemini + AI Overviews, I can compare the top 5 tools on exact snippet attribution, crawling your site, recommendations, pricing, and API/export capabilities.

Yes. The category you want is usually called GEO/AEO (Generative Engine Optimization / Answer Engine Optimization), but I’d be careful about vendors promising a magic “AI ranking” score. Google explicitly says there are no special AI-only technical requirements or schema for appearing in AI Overviews/AI Mode; strong SEO fundamentals and distinctive content still matter. developers.google.comdevelopers.google.com

For a publisher, I’d build a stack around three jobs:

For a publisher, I'd prioritize these

1. Profound — probably the most interesting category if the problem is specifically “Are AI systems citing us?” It is designed around measuring visibility across generative search/AI systems rather than traditional Google rankings.

2. Scrunch — particularly relevant if you want an AI-search visibility and citation-monitoring layer. It can help identify which questions generate mentions of your publication and where competitors are getting cited.

3. Semrush or Ahrefs — I wouldn't replace your existing SEO platform with a GEO-only product. Google says its AI experiences continue to use its core Search systems, and pages still need to be crawlable/indexable and meet normal Search requirements. developers.google.comdevelopers.google.comhelp.openai.comdevelopers.google.com

4. Google Search Console — essential, and increasingly directly relevant. Google launched dedicated generative-AI performance reports in June 2026, showing visibility within AI Overviews, AI Mode and generative features in Discover, although the new reporting is initially rolling out to a subset of sites. developers.google.com

The attribution part is especially important

Software can't force ChatGPT, Gemini, Perplexity or Google to cite you. What it can do is identify the conditions under which you're being cited and help you improve them.

I'd have your editorial/SEO team systematically look for:

• Original reporting and data rather than commodity summaries
• Clear authorship and publisher identity
• Explicit dates and update history
• Quotable, self-contained factual passages
• Strong primary-source links
• Distinctive statistics, interviews, research and analysis
• Good internal linking around a topic
• Article/author/organization structured data where appropriate
• Pages that are easily crawlable and whose important information exists as text

Google's current guidance is particularly explicit about unique, non-commodity content and making content accessible to its crawlers. developers.google.com

And for ChatGPT specifically, OpenAI says publishers should avoid blocking OAI-SearchBot if they want their content to be discovered, surfaced and clearly cited; ChatGPT search referrals can also be tracked in analytics. help.openai.com

One interesting development for publishers: Google now has Preferred Sources, allowing users to select publications they prefer, and those publications can receive a preferred badge in AI Mode and AI Overviews as well as Top Stories. developers.google.com

If I were buying for a mid-to-large publisher, my shortlist would be:
Profound + Semrush/Ahrefs + Google Search Console, with Scrunch/Peec/Otterly worth evaluating against Profound depending on price and which AI platforms you need to monitor.

If you tell me roughly how big the publisher is (e.g. 100k vs. 10M monthly visits) and whether you're a news, magazine, B2B, or niche publisher, I can narrow this to 3–5 products and compare pricing, AI-platform coverage, attribution tracking, API/reporting capabilities, and publisher-specific usefulness.

For a news publisher, the software category you’re looking for is usually called Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), or AI visibility/citation tracking. These tools do not guarantee citations, but they can identify which stories, structures, and signals are more likely to be selected by AI assistants. Muck Rack HubSpot Blog

Here are the main options by newsroom use case:

1. AI citation monitoring (find out what AI assistants already cite)

• tryprofound.com — Tracks brand/topic visibility across AI answers and helps teams understand where they appear or are missing.
• peec.ai — Monitors AI search visibility and citations across major AI answer engines.
• scrunch.ai — Focuses on AI search visibility and how AI systems represent a brand or site.
• otterly.ai — Tracks mentions and citations in AI-generated search results.

These are useful for questions like:

• “When someone asks ChatGPT about our election coverage, are we cited?”
• “Which competitors are replacing us as sources?”
• “Which topics generate AI referrals?”

Cognizo SitePoint## 2. Content optimization tools (suggest formats likely to be extracted)

• marketmuse.com — Helps identify content gaps, topic authority, and article structures.
• clearscope.io — Optimizes articles around search intent and content completeness.
• frase.io — Useful for briefs, question-based structures, and answer-focused formats.
• surferseo.com — Helps editorial teams optimize article structure and coverage.

For news sites, these are most useful for evergreen content:

• explainers
• “what happened / why it matters” pieces
• backgrounders
• comparison pages
• timelines

Timothe AI## 3. Publisher-specific AI optimization tools

• indexly.ai — Built specifically around news/media workflows, including structured news content, citation signals, and AI discovery. Indexly

A newsroom would typically use this type of tool to decide:

• Should this breaking story become a timeline?
• Should we add a “key facts” block?
• Should we publish a glossary/explainer alongside it?
• Which articles are worth updating for AI retrieval?

Formats that AI assistants tend to favor

Regardless of software, tools usually push publishers toward formats like:

• Answer-first ledes

“The bill passed Tuesday because…”

• Key facts boxes

• Who
• What
• When
• Where
• Why it matters
• Structured explainers

• “What is X?”
• “Why is X happening?”
• “What happens next?”
• Original data pages

• charts
• databases
• rankings
• election trackers
• Expert/source transparency

• named reporters
• primary documents
• clear citations
• update timestamps

These structures make it easier for AI systems to extract a concise, attributable answer. Muck Rack Search Engine Land

A practical stack for a mid-sized news organization

A reasonable setup would be:

1. AI visibility tracker: Profound or Peec AI
2. Editorial optimization: MarketMuse/Clearscope/Frase
3. Technical SEO + structured data: existing CMS SEO tooling + schema validation
4. Analytics: measure AI referral traffic separately from Google search traffic

The key metric is shifting from “rank position” to:

• citation share
• number of AI answers mentioning your publication
• referral clicks from AI platforms
• which article formats win citations

Muck Rack SitePointFor a newsroom specifically, I would prioritize citation monitoring + editorial format recommendations over generic AI writing tools. The strategic question is less “how do we publish more?” and more “which types of journalism become the source an AI assistant trusts enough to quote?”

For a small agency managing several client brands, I’d narrow the field to Peec AI, Otterly.ai, and Profound. The category has moved quickly in 2026, and the important distinction is whether you want simple monitoring or a full agency reporting/optimization platform. Prism News Bloomiro

My ranking

Peec is particularly interesting for agencies because it emphasizes multi-brand/competitive monitoring and offers agency-oriented reporting. Current comparisons put its entry pricing around €85–95/month, although pricing and engine availability change frequently. Bloomiro Baarely

Otterly is the one I'd trial first if keeping costs down matters. It starts around $29/month and has expanded beyond basic ChatGPT/Perplexity monitoring to cover Google AI Overviews, Copilot and additional engines through its plans/add-ons. Its GEO URL audits are also useful when the agency needs to turn "we aren't being cited" into something actionable. KITLabs Baarely

Profound is excellent, but I'd probably skip it initially. It's aimed much more at enterprise-grade analysis, with deeper answer-engine and citation analytics. For a small agency, you're likely paying for sophistication your team won't use every week. Bloomiro TechnologyAdvice

What I'd choose for your agency

If you're managing, say, 5–30 clients, I'd start with Peec AI and evaluate it against Otterly.

The things I'd specifically test during the trial are:

• Citation-level data: Does it show which URLs/domains ChatGPT, Gemini, Perplexity, etc. are citing?
• Prompt tracking: Can you maintain a fixed set of client-specific commercial queries and compare them month over month?
• Competitors: Can you see who is getting cited instead?
• Multiple clients: Is separating clients/projects painless?
• White-label reporting: Can you send the client a report without the vendor's branding?
• Geographic variation: Can you track prompts for different cities/countries?
• Historical data: Does it retain enough history to demonstrate improvement?
• Export/API: Can you pipe the data into Looker Studio or your own reporting system?

That last group matters more for an agency than simply having "the most AI engines." Current comparisons specifically identify white-label reporting and multi-brand management as differentiators among the agency-oriented products. Prism News Baarely

My practical shortlist:

1. 🥇 Peec AI — best starting point for a serious small agency.
2. 🥈 Otterly.ai — best if you want inexpensive, straightforward monitoring.
3. 🥉 Profound — move here when client volume/reporting requirements justify enterprise tooling.
4. Scrunch — consider if you want the platform to go beyond measurement into agent-facing site optimization.

If you tell me roughly how many clients you manage, how many prompts per client, and your monthly budget, I can narrow this to the best 2–3 options and estimate what each would actually cost your agency.

Profound is excellent, but I'd probably skip it initially. It's aimed much more at enterprise-grade analysis, with deeper answer-engine and citation analytics. For a small agency, you're likely paying for sophistication your team won't use every week.

What I'd choose for your agency

For a small agency managing several clients, I’d prioritize: multi-engine coverage, citation-level tracking, competitor comparison, client reporting, and a price that doesn’t explode as you add clients.

My shortlist

1. OtterlyAI — probably the sweet spot

For your specific use case, I'd start here.

Otterly currently tracks seven AI search experiences: ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot, and Claude. It tracks not only whether a client is mentioned, but where they're positioned, which URLs are cited, competitor visibility, sentiment, and share of voice. Otterly Otterly

The agency-oriented pieces are particularly useful:

• Track custom buyer prompts rather than generic keywords.
• See brand coverage / ranking within answers.
• See exactly which URLs AI engines cite.
• Compare clients against competitors.
• Identify prompts where competitors appear but your client doesn't.
• Generate branded PDF/CSV reports.
• Connect data to Looker Studio.
• API access is available on higher plans. Otterly Otterly

It currently advertises pricing starting at $29/month, which makes it much easier to experiment with than enterprise platforms. Otterly

One particularly nice feature for an agency: Otterly lets you monitor prompts automatically daily, so you can build a repeatable client reporting process rather than manually checking ChatGPT every week. OtterlyAI

2. Profound — if citation intelligence is the priority

tryprofound.com is the one I'd investigate if your agency wants to go beyond "did we show up?"

Its citation tooling lets you analyze which sources AI engines use, citation share by platform/topic/prompt, competitor citations, and third-party publishers that influence AI answers. It also categorizes citations into things like owned content, competitors, earned media, PR, social, and institutions. Profound

That's valuable if your agency wants to turn AI visibility into an actual GEO/content/PR strategy for clients.

The downside is that I'd lean toward Otterly for a small agency unless you're doing fairly sophisticated AI-search strategy work.

3. Peec AI — worth testing for usability

peec.ai is worth putting through a trial if you care more about a clean analytics experience and competitive benchmarking than a huge GEO workflow.

I'd compare it directly against Otterly using the same 20–50 prompts for one real client. The winner should become your agency standard.

What I'd actually do

For a small agency, I'd not buy the most expensive platform immediately.

I'd run a 2-week bake-off:

1. Pick one representative client.
2. Create ~30 prompts across: - "best [service] in [location]"
3. "[service] companies for [use case]"
4. "[competitor] alternatives"
5. "[product/service] vs [competitor]"
6. informational questions where the client wants to become the cited source.
7. Run those prompts in Otterly and one competitor.
8. Compare: - answer/brand ranking
9. citation accuracy
10. cited URL visibility
11. competitor tracking
12. historical changes
13. number of engines
14. reporting quality
15. cost as you add 5, 10, 20 clients.

My starting recommendation: OtterlyAI. It has unusually good alignment with the exact combination you're asking for—answer rankings + citations + multiple AI platforms + agency reporting, without immediately pushing you into an enterprise-grade platform. Its current coverage is also broad enough that you aren't just measuring ChatGPT. Otterly

One caveat: AI answers aren't deterministic. Otterly itself notes that results can vary by user, location, session, and account settings, so I'd treat these tools as directional visibility/ranking measurements, not an absolute "Google rank #3" equivalent. OtterlyAI

If you tell me roughly how many clients you have (e.g. 5, 20, 50) and whether you need white-label client dashboards, I can narrow this down to the best 2–3 plans and estimate the monthly cost for your agency.

The downside is that I'd lean toward Otterly for a small agency unless you're doing fairly sophisticated AI-search strategy work.

3. Peec AI — worth testing for usability

peec.ai is worth putting through a trial if you care more about a clean analytics experience and competitive benchmarking than a huge GEO workflow.

I'd compare it directly against Otterly using the same 20–50 prompts for one real client. The winner should become your agency standard.

What I'd actually do

For a small agency, I'd not buy the most expensive platform immediately.

I'd run a 2-week bake-off:

1. Pick one representative client.
2. Create ~30 prompts across: - "best [service] in [location]"
3. "[service] companies for [use case]"
4. "[competitor] alternatives"
5. "[product/service] vs [competitor]"
6. informational questions where the client wants to become the cited source.
7. Run those prompts in Otterly and one competitor.
8. Compare: - answer/brand ranking
9. citation accuracy
10. cited URL visibility
11. competitor tracking
12. historical changes
13. number of engines
14. reporting quality
15. cost as you add 5, 10, 20 clients.

My starting recommendation: OtterlyAI. It has unusually good alignment with the exact combination you're asking for—answer rankings + citations + multiple AI platforms + agency reporting, without immediately pushing you into an enterprise-grade platform. Its current coverage is also broad enough that you aren't just measuring ChatGPT.

If your main goal is tracking and comparing brand visibility across AI answer engines over time, I’d shortlist Peec AI and Profound, with Peec AI as my default recommendation for a marketing/SEO team.

My pick: peec.ai

Peec is particularly well aligned with your use case because it tracks:

• Visibility — how often your brand appears in AI answers
• Position — where you appear relative to competitors
• Share of voice — your share of mentions versus competing brands
• Sentiment / brand perception
• Citations and sources influencing the answers
• Trends over time, broken down by AI engine and prompt set Peec AI Peec AI

It currently covers ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini and Microsoft Copilot, with additional models available on higher tiers. Peec says it runs tracked prompts daily, which makes it useful for building an actual time series rather than doing occasional spot checks. Peec AI Peec AI

One feature I particularly like: you can compare the same prompt set across engines, so you can answer questions such as “Are we gaining visibility in ChatGPT while losing ground in Gemini?” rather than getting disconnected reports from each platform.

Strong alternative: tryprofound.com

I'd look at Profound if you're an enterprise or larger brand team. Its Answer Engine Insights product explicitly measures visibility, citations, sentiment, share of voice and positioning, and lets you analyze changes across time, regions, topics and audience personas. It queries the actual front-end experiences of ChatGPT, Perplexity, Claude, Copilot, Google AI Overviews/AI Mode, Gemini, Grok and DeepSeek. Profound Knowledge Base Profound

That's arguably the broader platform if engine coverage and enterprise analysis matter more than simplicity.

Quick comparison

There's also Ahrefs Brand Radar, worth considering if your team already lives in Ahrefs; its AI Visibility Checker covers ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Ahrefs

Bottom line: I'd trial Peec AI first, and put Profound through the same evaluation if you're looking for an enterprise-grade platform. The most important thing in the demo isn't the dashboard—it’s whether they can give you a consistent prompt set + daily/weekly historical data + competitor share-of-voice + engine-by-engine breakdown. Those are the metrics that will let you demonstrate whether your GEO efforts are actually working.

Yes. The category you’re looking for is usually called AI search visibility, LLM visibility, GEO (Generative Engine Optimization) tracking, or AI answer/rank tracking.

These tools essentially do for ChatGPT/Claude/Gemini/Perplexity what SEO rank trackers do for Google: they repeatedly run a set of relevant prompts and measure whether your brand/content appears, where it appears, which competitors appear, and which URLs get cited. LLM Visibility Tools Promptwatch

The strongest options

Current comparisons put Profound toward the enterprise end, while OtterlyAI is generally positioned as a more accessible monitoring product. LLM Visibility Tools Rankability AirOps

For your specific requirement

If by “track where our content is being used” you mean:

Which of our articles/pages are being cited by ChatGPT, Gemini, Claude, Perplexity, etc., and how does our citation/mention position compare with competitors?

I'd shortlist Profound, OtterlyAI, and Peec AI first.

The particularly important metrics are:

• Citation rate — how often your URLs are cited.
• Citation share — your share of all citations versus competitors.
• Mention rate — how frequently your brand/product is mentioned.
• AI answer rank — whether you're #1, #2, #3, etc. when the assistant recommends multiple companies.
• Share of voice — your visibility versus named competitors.
• Which pages get cited — identifies the content AI systems actually consider authoritative.
• Which competitors get cited instead — arguably the most actionable metric.
• Prompt-level tracking — lets you see exactly which questions produce visibility or invisibility.
• Historical trends — whether changes to your content actually improve AI visibility.

For example, OtterlyAI explicitly reports mentions, citations, sentiment, share of voice, average rank, and cited URLs, with competitors scored on the same fields. Otterly

One important distinction: “LLM monitoring” and “AI search monitoring” aren't quite the same thing. If your goal is to understand actual customer-facing answers, you want a tool that captures answers and citations from AI search experiences—not merely whether a model's underlying knowledge contains your brand. Otterly

If you tell me what kind of content/company you have (e.g. B2B SaaS, publisher, ecommerce, agency) and roughly how many domains/prompts you need to track, I can narrow this to the 3 best platforms and compare pricing, AI engines, citation tracking, relative-rank methodology, and API/export capabilities.

If by “track where our content is being used” you mean:

Which of our articles/pages are being cited by ChatGPT, Gemini, Claude, Perplexity, etc., and how does our citation/mention position compare with competitors?

I'd shortlist Profound, OtterlyAI, and Peec AI first.

The particularly important metrics are:

If your priority is enterprise-grade AI assistant visibility + competitive share of voice, I’d put tryprofound.com at the top of the shortlist.

My ranking

1. Profound — best overall for enterprise

• Strongest fit for a large marketing/SEO/GEO organization.
• Tracks visibility, share of voice, citation share, sentiment, position, and source/citation performance across AI answer engines. Profound Knowledge Base Profound Knowledge Base
• Particularly good for competitive intelligence: you can see which prompts competitors win, which sources AI systems cite, and how your citation share changes over time. Profound Profound Knowledge Base
• Custom dashboards and shareable reporting are useful if you're reporting AI visibility to executives or multiple business units. Profound
• Downside: likely overkill/costly if you only need a lightweight tracker.
• peec.ai — best value / analytics experience

• Excellent if the core question is: “How often does AI mention us versus our competitors?”
• Explicitly measures visibility, position, sentiment and share of voice, with competitor comparisons and prompt-level analysis. Peec AI
• Its definition of SoV is particularly straightforward: your brand's mentions divided by total tracked-brand mentions. Peec AI
• I'd seriously consider this if you don't need Profound's broader enterprise workflow.
• otterly.ai — best for inexpensive monitoring

• Good for establishing a baseline and monitoring multiple AI engines without buying a heavyweight enterprise platform.
• Less compelling if you're building a sophisticated enterprise GEO/competitive-intelligence program.

What I'd measure

For an enterprise, I wouldn't use “AI visibility” alone. I'd build the scorecard around:

The distinction between visibility and share of voice is important. A brand can appear in 60% of answers but still have poor competitive SoV if competitors are mentioned substantially more often in those answers. Peec AI Profound Knowledge Base

My recommendation

For a Fortune 500 / global enterprise, I'd run a bake-off between Profound and Peec AI, using the same 100–500 commercially important prompts and the same competitor set.

I'd give Profound the edge if you need an enterprise-wide GEO intelligence system, particularly around citation intelligence, competitive analysis, dashboards and workflow/actionability. Profound Profound Knowledge Base

I'd choose Peec if your primary requirement is a clean, focused measurement system for AI visibility and competitive SoV rather than a broader enterprise GEO platform. Peec AI

One important caveat: these platforms generally measure controlled prompt observations, not your entire universe of real-world AI conversations. So for an executive KPI, I'd call it something like “tracked AI Share of Voice” and maintain a stable prompt panel over time rather than treating the absolute percentage as equivalent to market share.

For a marketing team on a tight budget, I’d start with otterly.ai.

• $29/month Lite gets you 15 tracked prompts, daily monitoring, unlimited team members, and coverage of ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot. Otterly Otterly AI
• It aggregates useful marketing metrics such as brand mentions, share of voice, ranking, sentiment, competitors, and cited URLs rather than merely showing raw AI responses. Otterly
• You can add Gemini, Claude, and Google AI Mode as your needs grow, rather than paying for all engines upfront. Otterly
• There's a free trial without a credit card, which makes it particularly easy to validate whether the data is useful before spending. Otterly AI

One caveat

The $29 tier is deliberately small—15 prompts—so I'd use it for your highest-value commercial questions rather than trying to monitor every keyword. If you need substantially more prompts and want three AI models of your choice, peec.ai is worth comparing; its Starter plan includes 50 prompts, three models, daily tracking, and unlimited users. Peec AI

My budget pick: OtterlyAI for a small team; move to Peec when you need broader prompt coverage and more flexible model selection.

If your priority is agency use: multiple clients + AI share of voice + polished client reporting, I’d shortlist these:

*Some multi-client/workspace functionality is plan-dependent. Baarely DeepSmith

1. Peec AI — my pick for most agencies

Peec is probably the sweet spot if you're running, say, 5–30 client accounts and want a serious AI visibility product without jumping straight to enterprise software.

It tracks visibility/share of voice, position, sentiment, competitors and citations across multiple AI engines. Its agency offering supports multiple client projects, and its Looker Studio connector + exports/API give you a practical path to branded client dashboards. The Rank Masters DeepSmith

Choose it if: you want good analytics and a repeatable reporting system rather than merely an AI-monitoring dashboard.

2. Otterly.ai — best value

Otterly is compelling if you want to get an agency reporting operation running cheaply. It covers major AI surfaces, tracks mentions/citations/sentiment and share of voice, and has a Looker Studio reporting workflow. Recent agency comparisons specifically highlight it as one of the easiest routes to branded client reports. DeepSmith The Rank Masters

The tradeoff is that the polished/white-label experience is more "Otterly → Looker Studio → your template" than a completely native white-label reporting product.

Choose it if: you have a strong Looker Studio template and want to keep software costs down.

3. Profound — best for enterprise

Profound is the one I'd investigate for large clients where AI visibility is becoming a substantial strategic reporting service. It has particularly deep analytics, broad answer-engine coverage and enterprise-oriented capabilities. Recent comparisons put it ahead for enterprise use, while noting that its white-label reporting is less straightforward than agency-native alternatives. Baarely DeepSmith

Choose it if: clients care about sophisticated research, prompt volumes, competitive intelligence and enterprise governance more than minimizing your tooling cost.

4. Scrunch AI

Scrunch is worth looking at if you don't want reporting to stop at "your share of voice went from 18% → 24%." It combines visibility monitoring with recommendations/content-oriented workflows and supports Looker Studio reporting. Baarely DeepSmith

Choose it if: you're selling GEO/AEO as an optimization service, not just a measurement service.

5. Baarely — particularly interesting for polished deliverables

If the report itself is the product, Baarely deserves a demo. Current comparisons report native white-label PDF and self-contained HTML reports, specifically aimed at agencies. Baarely

That's a meaningful distinction: with Peec/Otterly, you may build your own beautiful Looker Studio reporting layer; with Baarely, the vendor is explicitly leaning into the agency report workflow.

What I'd buy

For an agency, I'd rank the buying decisions:

Peec → Otterly → Profound → Scrunch → Baarely

But there's an important wrinkle:

• Want the best analytics/workflow: Peec
• Want lowest cost + good reporting: Otterly
• Want enterprise-grade intelligence: Profound
• Want visibility + recommendations: Scrunch
• Want gorgeous white-label PDFs/HTML: Baarely

And I wouldn't choose based solely on the number of AI engines. What matters more is whether it can give you consistent prompt sets, competitor SOV, citation/source analysis, historical trends, client isolation, scheduled reporting and a reusable branded report. That's what determines whether your team can actually run 20+ accounts without creating a monthly reporting nightmare. DeepSmith

If you tell me roughly how many clients you have (e.g. 5, 20, 50+) and whether you want PDF reports or a live branded dashboard, I can narrow this to the 2–3 best options and compare their current agency pricing.

It tracks visibility/share of voice, position, sentiment, competitors and citations across multiple AI engines. Its agency offering supports multiple client projects, and its Looker Studio connector + exports/API give you a practical path to branded client dashboards. The Rank Masters DeepSmith

Choose it if: you want good analytics and a repeatable reporting system rather than merely an AI-monitoring dashboard.

2. Otterly.ai — best value

Otterly is compelling if you want to get an agency reporting operation running cheaply. It covers major AI surfaces, tracks mentions/citations/sentiment and share of voice, and has a Looker Studio reporting workflow. Recent agency comparisons specifically highlight it as one of the easiest routes to branded client reports. DeepSmith The Rank Masters

The tradeoff is that the polished/white-label experience is more "Otterly → Looker Studio → your template" than a completely native white-label reporting product.

Choose it if: you have a strong Looker Studio template and want to keep software costs down.

3. Profound — best for enterprise

Profound is the one I'd investigate for large clients where AI visibility is becoming a substantial strategic reporting service. It has particularly deep analytics, broad answer-engine coverage and enterprise-oriented capabilities. Recent comparisons put it ahead for enterprise use, while noting that its white-label reporting is less straightforward than agency-native alternatives. Baarely DeepSmith

Choose it if: clients care about sophisticated research, prompt volumes, competitive intelligence and enterprise governance more than minimizing your tooling cost.

4. Scrunch AI

Scrunch is worth looking at if you don't want reporting to stop at "your share of voice went from 18% → 24%." It combines visibility monitoring with recommendations/content-oriented workflows and supports Looker Studio reporting. Baarely DeepSmith

Choose it if: you're selling GEO/AEO as an optimization service, not just a measurement service.

5. Baarely — particularly interesting for polished deliverables

If the report itself is the product, Baarely deserves a demo. Current comparisons report native white-label PDF and self-contained HTML reports, specifically aimed at agencies. Baarely

That's a meaningful distinction: with Peec/Otterly, you may build your own beautiful Looker Studio reporting layer; with Baarely, the vendor is explicitly leaning into the agency report workflow.

What I'd buy

For an agency, I'd rank the buying decisions:

Peec → Otterly → Profound → Scrunch → Baarely

But there's an important wrinkle:

• Want the best analytics/workflow: Peec
• Want lowest cost + good reporting: Otterly
• Want enterprise-grade intelligence: Profound
• Want visibility + recommendations: Scrunch
• Want gorgeous white-label PDFs/HTML: Baarely

And I wouldn't choose based solely on the number of AI engines. What matters more is whether it can give you consistent prompt sets, competitor SOV, citation/source analysis, historical trends, client isolation, scheduled reporting and a reusable branded report. That's what determines whether your team can actually run 20+ accounts without creating a monthly reporting nightmare.

For a boutique agency, I’d shortlist Otterly.AI and Peec AI, with Otterly.AI probably the better fit if your specific need is “which pages are AI assistants citing?” + client reporting.

My pick: Otterly.AI

otterly.ai is unusually well aligned with your use case:

• URL-level citation tracking — it can show which specific pages/URLs are being cited, not just whether the client's domain appears. Otterly Otterly
• Citation reports — its Citation Details view and Winners & Losers reporting are specifically designed to identify the sources influencing AI answers. Otterly
• Multi-client workspaces — you can manage different clients, prompts, reports, and team members under one subscription. Otterly
• Exports + Looker Studio — useful if you want to put the data into your own branded monthly reporting system rather than sending clients into another SaaS dashboard. Otterly
• It now covers ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude, which makes the report considerably more useful than a ChatGPT-only tracker. Otterly

The key distinction I'd make when evaluating tools is:

Don't buy a tool that only tells you “your brand was mentioned.” Buy one that gives you the actual cited URLs.

A client report can then say “These 12 pages generated 73% of your AI citations this month” and identify which competitor/source pages are winning the remaining queries. That's much more actionable than an abstract “AI visibility score.”

Runner-up: Peec AI

peec.ai is probably the one I'd demo alongside Otterly. It is explicitly positioned for agencies and tracks mentions, position, citations and sentiment, including which client pages get cited versus skipped. Peec AI

I'd lean toward Peec if you want a cleaner agency-facing analytics experience and care heavily about daily/weekly visibility trends.

What I'd choose by agency type

The broader 2026 market comparisons also put Otterly and Peec toward the more accessible end, while Profound is more enterprise-oriented. Prism News Refine AI

One important reporting trick

I'd actually build the agency report around four metrics, rather than “AI visibility”:

1. AI mentions — did the client get named?
2. AI citations — did an AI engine actually cite the client's site?
3. Cited pages — which URLs are earning those citations?
4. Citation gaps — which URLs/pages from competitors are being cited instead?

That fourth metric is where the commercial value gets interesting: you can turn the report directly into “here are the pages we should create/improve next.”

And this matters because AI citation patterns are changing very quickly; recent data has shown major shifts in which domains AI systems cite, even over a matter of weeks. Business Insider Axios

If I were setting this up for a boutique SEO/content agency today, I'd trial Otterly first, Peec second, and judge them specifically on whether their exported data gives you clean prompt → AI answer → cited URL → competitor → date data. That determines whether you can produce genuinely useful client reports rather than another vanity dashboard.

What I'd choose by agency type

The broader 2026 market comparisons also put Otterly and Peec toward the more accessible end, while Profound is more enterprise-oriented.

One important reporting trick

I'd actually build the agency report around four metrics, rather than “AI visibility”:

For a boutique agency, I’d shortlist Peec AI first, with Profound as the more enterprise-oriented alternative.

My pick: Peec AI

peec.ai

It maps unusually well to your specific use case:

• Identifies the exact client URLs being cited by AI engines—not just whether the brand was mentioned. You can see retrievals, citation rate, prompts triggering each URL, and the actual AI answers. Peec.ai Docs
• Tracks ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Claude, among others. Peec AI
• Has multi-client agency workflows and automated reporting.
• Offers white-label dashboards that clients can access without a Peec login.
• Exports data to BigQuery, Tableau, Power BI, CSV, etc. Peec AI
• Its MCP/API can automate a weekly process like: “Which of this client's pages gained/lost AI citations this week, why, and what should we recommend?” and generate client-ready reports. Peec AI Peec.ai Docs

That last part is particularly interesting for a boutique agency because you can turn the tool into a repeatable reporting product, rather than having an SEO strategist manually inspect AI answers every month.

When I'd choose Profound instead

tryprofound.com

Profound is probably the better choice if your clients are larger and you want a more sophisticated AEO/GEO intelligence platform.

Its citation tooling lets you analyze citation share by platform, topic, prompt, and source category, while its newer Pages view connects page-level citation performance with AI bot visits and indexing data. Profound Profound Knowledge Base

It also has excellent client-facing reporting: customizable dashboards, public links, and PDF exports. Profound

How I'd decide

One important distinction: “brand mentioned” and “client page cited” are different metrics. For an agency report, I'd make cited URLs a first-class metric. A client might be mentioned frequently in ChatGPT while the AI is actually citing a third-party review, Reddit thread, or competitor page. Peec explicitly separates retrievals from explicit citations, which makes that distinction much easier to report. Peec.ai Docs

If I were building the boutique-agency stack today: Peec AI → Looker Studio/your reporting layer → automated weekly/monthly narrative. That gives you a relatively clean path from “here are the pages AI is citing” → “here's what changed” → “here's what we should optimize next.” Peec AI

If your agency’s core need is “aggregate AI-assistant visibility across many clients, regions, and prompts, then turn it into client-ready reporting,” I’d shortlist these:

Recent agency comparisons consistently emphasize multi-client workspaces, engine coverage, regional querying, white-label reporting, and scalable pricing as the important differentiators—not merely whether a tool can tell you if ChatGPT mentioned a brand. Semrush The Rank Masters

My recommendation

Start with Profound if you're selling a serious AI-search intelligence service. It is positioned toward enterprise-scale AI search intelligence and multi-brand monitoring, making it the strongest candidate when you need deeper analytics rather than just a visibility score. xSeek Arbling

Choose Peec AI if you want a cleaner agency workflow at a more accessible scale. It is particularly compelling for analytics, competitor benchmarking, and ongoing visibility monitoring without the enterprise complexity. Sapian Metrics MentionsAPI

Choose Otterly if economics and broad engine coverage matter most. Current comparisons put it at the low-cost end while covering multiple major AI surfaces and offering agency-oriented reporting on higher tiers. Demand Local, Inc. Sightivo

One important caveat: “regional visibility” needs careful evaluation in demos. Don't just ask whether a platform has a country filter. Ask whether it can actually execute the same prompt from different geographic contexts and preserve location, language, engine, device, and date as dimensions. That's what lets you produce something genuinely useful like:

US West: 34% AI share of voice
US Northeast: 27%
UK: 41%
Germany: 18%
Competitor X overtaking client in 3/5 priority markets

For an agency, I'd also insist on raw response/citation data, scheduled exports/API access, client-level workspaces, white-label dashboards/PDFs, competitor SOV, sentiment, citation domains, and historical trend data. Otherwise you're likely to end up manually stitching screenshots into Looker Studio.

If you tell me roughly how many clients/brands you need to monitor (e.g. 10, 50, 200+) and which regions/AI assistants matter, I can narrow this to the 2–3 platforms I'd actually buy, including estimated monthly cost and how I'd structure the agency reporting stack.

If your goal is an agency product you can resell as “AI Visibility / GEO Reporting” under your own brand, I’d shortlist these:

🥇 My pick: Rank Prompt

For a typical SEO/digital agency, Rank Prompt looks like the strongest match if the objective is to turn AI visibility into a branded recurring deliverable.

Its agency offering is specifically positioned around white-label reports, large numbers of brands, client portals and prospecting, rather than simply giving you an AI visibility dashboard. One recent comparison puts its agency tier at $149/month for white-label reporting and up to 500 brands, with a higher tier adding a client portal. Rank Prompt SEOforGPT

The key distinction I'd make is:

“Can I export a PDF with my logo?” ≠ “Can I sell this as my agency's software?”

If you want clients to log into something that looks like your agency's proprietary AI Visibility platform, prioritize the latter.

🥈 Peec AI

Peec AI is worth looking at if the quality of the analytics and competitive benchmarking matters more than having a completely custom SaaS-like portal.

It has an agency offering with white-label reporting, and its reporting can be delivered through Looker Studio. That makes it particularly interesting if your agency already has a reporting stack built around Looker Studio. Koalr

I'd choose Peec over Rank Prompt if your agency already has a sophisticated reporting workflow and wants to incorporate AI visibility data into broader SEO reporting.

🥉 Baarely

Baarely is interesting for a simple, productized AI visibility report.

Its agency offering reportedly includes white-label PDF and HTML reports, which is useful if your deliverable is something like:

“Your Monthly AI Search Visibility Report”

rather than a full client portal. Baarely

Also worth considering: Ayzeo

Ayzeo is more interesting if you don't just want to report visibility—you want the software to help your agency do the GEO work.

It combines AI visibility monitoring with things like content generation, LLMs.txt/schema generation, owned-channel tracking and white-label PDF reporting. Ayzeo

That's potentially a better fit for an agency selling:

Audit → Recommendations → Implementation → Monthly Visibility Report

rather than just:

Tracking → Report

What I'd buy based on agency type

• You want the best white-label agency product: Rank Prompt
• You want sophisticated analytics/benchmarking: Peec AI
• You mainly need beautiful branded reports: Baarely
• You want reporting + GEO execution: Ayzeo or Scrunch
• You want inexpensive monitoring to test the service: Otterly.ai
• You have enterprise clients and big budgets: Profound

One other option I'd investigate is AI Peekaboo if true white-labeling is the #1 requirement. Recent comparisons describe it as offering branded dashboards/custom domains and white-label delivery even on lower tiers, which is considerably more interesting than tools that merely let you export data into Looker Studio. Peekaboo Marketraa

The feature checklist I'd use before buying

Don't just compare “white label: yes/no.” For an agency, I'd specifically verify:

• Your logo + colors
• Custom domain
• No vendor branding
• Client login/portal
• Multiple client workspaces
• Automated monthly reports
• PDF + web report
• Scheduled email delivery
• Custom report sections
• Your own executive summary
• Competitor/share-of-voice tracking
• Citation/source tracking
• ChatGPT + Google AI Overviews/AI Mode + Perplexity + Gemini + Copilot + Claude/Grok
• Historical trends
• Prompt-level data
• API access
• Ability to export raw data
• Agency-level pricing that doesn't destroy your margin

Most importantly, check engine coverage. The market is moving quickly, and some platforms advertise “AI visibility” while only tracking ChatGPT or a handful of engines at their lower tiers. Profound, for example, expands substantially from its entry-level ChatGPT tracking to multiple engines at higher tiers. Baarely

If you tell me roughly how many clients you want to report on (10 / 50 / 100+) and whether you want a branded PDF, branded dashboard, or a full custom-domain client portal, I can narrow this to the best 3 and compare actual pricing, margins, engines, white-label depth, and API capabilities.

If you want clients to log into something that looks like your agency's proprietary AI Visibility platform, prioritize the latter.

🥈 Peec AI

Peec AI is worth looking at if the quality of the analytics and competitive benchmarking matters more than having a completely custom SaaS-like portal.

It has an agency offering with white-label reporting, and its reporting can be delivered through Looker Studio. That makes it particularly interesting if your agency already has a reporting stack built around Looker Studio. Koalr

I'd choose Peec over Rank Prompt if your agency already has a sophisticated reporting workflow and wants to incorporate AI visibility data into broader SEO reporting.

🥉 Baarely

Baarely is interesting for a simple, productized AI visibility report.

Its agency offering reportedly includes white-label PDF and HTML reports, which is useful if your deliverable is something like:

“Your Monthly AI Search Visibility Report”

rather than a full client portal. baarely.com

Also worth considering: Ayzeo

Ayzeo is more interesting if you don't just want to report visibility—you want the software to help your agency do the GEO work.

It combines AI visibility monitoring with things like content generation, LLMs.txt/schema generation, owned-channel tracking and white-label PDF reporting.

That's potentially a better fit for an agency selling:

If your specific goal is monitoring brand sentiment in AI-generated answers across multiple assistants, I’d shortlist these:

1. OtterlyAI — my pick for most teams

Otterly is particularly well matched to your question because its analytics explicitly score brand mentions, sentiment, share of voice, position, competitors and citations. It runs the same prompt set across multiple AI engines, letting you see whether the tone of the answer changes from one assistant to another. otterly.ai

For example, you can monitor:

“What are the best [category] software platforms?”

and see:

• Is my brand mentioned?
• Positive / neutral / negative sentiment
• What competitors are mentioned?
• Where does my brand rank?
• Which sources are being cited?
• How does ChatGPT differ from Gemini, Claude, Perplexity, etc.?
• Is sentiment improving over time?

Otterly currently says it monitors ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude, with daily monitoring. otterly.ai

Best if: you're a brand/marketing team that wants a relatively straightforward dashboard rather than a giant enterprise platform.

2. Profound — best if this is becoming an enterprise intelligence program

Profound is more sophisticated if you want to go beyond "are we mentioned?" Its Answer Engine Insights tracks visibility, sentiment, share of voice, positioning, citations and competitors, and lets you segment results by things such as region, topic and audience persona. help.tryprofound.comwww.tryprofound.com

It also covers a particularly broad set of answer engines, including ChatGPT, Perplexity, Claude, Gemini, Copilot, Google AI Overviews/AI Mode, Grok and DeepSeek. Importantly, Profound says it queries the consumer-facing experiences rather than simply model APIs, which is useful if you care about what an actual user sees. help.tryprofound.comwww.tryprofound.com

Best if: you're managing a large brand, multiple markets, hundreds/thousands of prompts, or need serious competitive and executive reporting.

3. Peec AI

I'd put Peec on the shortlist if you're primarily an in-house marketing/SEO team or agency looking for configurable AI visibility tracking, sentiment, share of voice, competitor monitoring and reporting. Independent 2026 comparisons also put it among the stronger options for configurable multi-engine tracking. getrefine.ai

What I'd choose

Small/mid-size marketing team → OtterlyAI

Enterprise / global brand → Profound

Agency managing many brands → Peec AI or Profound

Already heavily invested in SEO/Semrush → Semrush AI Visibility

One important distinction: AI sentiment monitoring isn't the same thing as social listening. These platforms are measuring how AI assistants describe your brand when prompted, rather than how humans feel about your brand on Reddit, X, news sites, etc. That's actually a very useful new metric because an AI can consistently characterize a brand negatively even when conventional social sentiment looks fine.

And this data can move surprisingly quickly: recent analysis found substantial changes in which sources ChatGPT cites over just a few weeks, illustrating why longitudinal monitoring across multiple assistants is more useful than occasional manual checks. www.axios.com

If I were buying today, I'd demo Otterly and Profound side-by-side using the same 50–100 prompts and compare their raw answers, sentiment classifications, competitor detection, citation tracking, geographic controls, and historical data. That will tell you much more than comparing feature checklists.