Answers that mention Peec AI

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

Why:

• Low entry price: its Lite plan is around $29/month for 15 tracked prompts, making it one of the cheapest dedicated AI-visibility trackers. AEO Labs ToolChase
• It tracks whether your brand/products show up in AI answers and can monitor competitors and citations.
• It’s better suited to testing whether AI search is actually worth investing in before spending hundreds per month.
• The catch: some additional Google/Gemini coverage is sold as add-ons, so costs can rise if you want broad coverage. CiteTrack AI

What I'd do in your shoes

Start with 15–20 high-value buyer prompts, rather than trying to monitor every product page. For example:

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

Then track whether your products are mentioned, which competitor gets recommended, and which websites AI cites.

I wouldn't start with Profound despite its excellent ecommerce-specific capabilities. It can track individual SKUs and ChatGPT Shopping placement, but its Starter plan is $99/month and doesn't include ChatGPT Shopping; the more relevant Shopping functionality is aimed at larger budgets. Profound Profound

My budget ranking:

1. Otterly — best if you want the cheapest dedicated tracker.
2. Peec AI — worth considering if you can spend ~$80–100/month and want broader engine coverage. CiteTrack AI
3. Profound — excellent for serious ecommerce/product-level monitoring, but probably overkill for a small shop.

If you tell me roughly how many products you have and your monthly budget (e.g. <$30, $50, $100), I can narrow it down to the best option and tell you exactly what I'd track.

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.

If you’re a startup with a small budget and zero developer resources, I’d start with otterly.ai.

My shortlist

*Pricing changes frequently; verify before subscribing. Current 2026 comparisons put Otterly at about $29/mo for its entry tier. AEO Labs MentionsAPI

Why Otterly: you give it your brand/product and a set of prompts such as:

• “What are the best [category] tools for startups?”
• “Alternatives to [competitor]”
• “Best [category] software for a 10-person company”
• “Which [product category] should I use for [use case]?”

It then periodically runs those queries against AI engines and records whether you were mentioned, where you appeared, competitors mentioned, sentiment, and which websites were cited. It currently covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. Otterly Otterly

One important caveat: no tool can tell you exactly what real ChatGPT users are asking or provide a feed of every spontaneous mention of your brand. These platforms sample representative prompts and monitor the resulting answers. YouGotRanked

If you're really cash-constrained

I'd actually do this:

1. Run ahrefs.com to establish a baseline. It checks ChatGPT, Gemini, Perplexity, Copilot and Google AI surfaces without signup. Ahrefs
2. If you see meaningful potential, put $29/mo into OtterlyAI and track ~10–20 high-value buyer prompts.
3. Set a weekly alert/report and watch mention rate + competitor share + citations, rather than obsessing over a single “AI ranking.”

Bottom line: OtterlyAI is the one I'd buy first. If you tell me your brand/product + category + monthly budget (e.g. $0, $30, $100), I can narrow it to the best option and suggest the exact prompts I'd monitor.

I'd actually do this:

Yes. For a multi-language, multi-region site, I’d shortlist these platforms:

My recommendation

For your particular use case, I'd put Ahrefs Brand Radar and Profound at the top of the evaluation.

Ahrefs is particularly interesting because its Brand Radar can analyze brands, products and regions, and it tracks AI visibility across Google AI Overviews/AI Mode, ChatGPT, Copilot, Gemini and Perplexity. It also identifies the pages/domains being cited. Ahrefs Help Center Ahrefs

Semrush is also unusually useful for international sites: its AI Visibility report provides country-level breakdowns, along with mentions, citations and cited pages. Its underlying database currently covers 289M+ AI queries and is refreshed daily. Semrush

OtterlyAI is a good alternative if you want a purpose-built AI visibility product rather than adding another large SEO suite. It explicitly tracks both brand mentions and website citations across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode and Copilot. Otterly

One important caveat for multilingual sites

Don't evaluate these platforms merely on whether they say they support "multiple languages." You want to test whether they can isolate:

language × country × search engine × prompt × brand/product × cited URL

For example, you should be able to compare:

• English / US
• English / UK
• German / Germany
• French / France
• Spanish / Spain
• Spanish / Mexico
• Japanese / Japan

…and determine that your German site is cited by ChatGPT for German queries in Germany, rather than getting a single global AI visibility score.

This matters because AI-search behavior varies substantially by geography and language; Ahrefs' international AI Overview data, for example, shows substantial differences in AI Overview prevalence across countries and languages. Ahrefs

If you tell me roughly how many languages/countries you operate in (e.g. 8 languages × 25 countries), I can narrow this to the 2–3 platforms that are actually best for that scale and compare their pricing, API/export capabilities, and geographic/language granularity.

OtterlyAI is a good alternative if you want a purpose-built AI visibility product rather than adding another large SEO suite. It explicitly tracks both brand mentions and website citations across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode and Copilot. otterly.ai

One important caveat for multilingual sites

Don't evaluate these platforms merely on whether they say they support "multiple languages." You want to test whether they can isolate:

language × country × search engine × prompt × brand/product × cited URL

For example, you should be able to compare:

If you’re evaluating AI search visibility / answer-engine optimization (AEO) platforms that can trace AI-generated answers back to the pages (canonical URLs) that were cited or influenced them, these are the main categories and tools worth comparing:

Platforms focused on AI citations and visibility tracking

• Profound — Tracks brand presence in AI answers across systems like ChatGPT, Google AI Overviews, and Perplexity, including cited URLs and competitive visibility. Useful if you want dashboards around “which pages are earning mentions/citations.”
• peec.ai — Focuses on monitoring how brands appear in AI-generated answers, including citation tracking and source attribution across AI engines.
• scrunch.com — Provides AI search visibility monitoring and helps identify which content is being surfaced by AI systems.
• otterly.ai — Tracks brand mentions and citations in AI answers, with reporting around prompts, competitors, and referenced sources.
• writesonic.com — Offers generative engine optimization (GEO) tracking features aimed at measuring visibility in AI answers.

SEO platforms adding AI citation intelligence

• Semrush — Its AI visibility features extend traditional SEO monitoring into AI search tracking, helping connect content performance and AI mentions.
• Ahrefs — Strong for canonical URL discovery, backlinks, and content intelligence; AI citation tracking is less central but useful when paired with AI visibility tools.

What to verify during evaluation

The important capability differences are:

A practical evaluation stack

For an enterprise SEO team, a common setup would be:

1. AI citation monitoring: Profound, Peec AI, Scrunch AI, or Otterly.AI
2. Canonical/content intelligence: Semrush or Ahrefs
3. Analytics validation: your own log files, Search Console data, and content inventory database

A key question to ask vendors: “When an AI answer cites a page, do you store the exact citation URL and resolve it to our canonical URL, or are you only measuring brand mentions?” Many tools differ significantly on that point.

Yes. If the goal is AI citation/visibility data feeding into an existing analytics stack, I’d prioritize tools with an API, warehouse/BI connectors, and ideally direct attribution to actual AI-referred traffic.

My shortlist

The one I'd investigate first

OtterlyAI is probably the cleanest fit if by "analytics stack" you mean something like:

AI citation monitoring → API → warehouse → BI → executive dashboard

It now tracks citations across ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude, and its API exposes brand reports, prompts, citations and related data. Otterly Otterly

More importantly, Otterly explicitly documents using the API to push data into BigQuery, Snowflake, Tableau, Power BI and other BI tools, as well as automation through Zapier/Make/Slack. OtterlyAI

It also has a native Looker Studio connector, which is useful if marketing currently lives in Google's reporting ecosystem. OtterlyAI

There's a separate GA4-oriented approach for measuring actual human referral traffic from AI citation links, which is important because citation frequency and traffic aren't the same metric. OtterlyAI

How I'd architect it

I'd avoid making the vendor's dashboard your system of record:

AI engines → citation monitor → API → BigQuery/Snowflake → dbt/modeling → Looker/Tableau/Power BI

Then join it with:

• GA4 AI referral sessions/conversions
• Search Console
• traditional SEO rankings
• CRM/revenue data
• content/page metadata
• competitor citation share

That gives you a much more useful KPI than simply "AI mentions": AI visibility → cited URL → AI referral → conversion/revenue.

If you tell me what your current stack is (e.g. GA4 + BigQuery + Looker, Snowflake + Tableau, Segment + dbt, etc.), I can narrow this to the 2–3 platforms with the best native integration path and compare API limits, data model, pricing, and implementation effort.

AI citation monitoring → API → warehouse → BI → executive dashboard

It now tracks citations across ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude, and its API exposes brand reports, prompts, citations and related data. Otterly Otterly

More importantly, Otterly explicitly documents using the API to push data into BigQuery, Snowflake, Tableau, Power BI and other BI tools, as well as automation through Zapier/Make/Slack. OtterlyAI

It also has a native Looker Studio connector, which is useful if marketing currently lives in Google's reporting ecosystem. OtterlyAI

There's a separate GA4-oriented approach for measuring actual human referral traffic from AI citation links, which is important because citation frequency and traffic aren't the same metric. OtterlyAI

How I'd architect it

I'd avoid making the vendor's dashboard your system of record:

AI engines → citation monitor → API → BigQuery/Snowflake → dbt/modeling → Looker/Tableau/Power BI

Then join it with:

• GA4 AI referral sessions/conversions
• Search Console
• traditional SEO rankings
• CRM/revenue data
• content/page metadata
• competitor citation share

That gives you a much more useful KPI than simply "AI mentions": AI visibility → cited URL → AI referral → conversion/revenue.

If you tell me what your current stack is (e.g. GA4 + BigQuery + Looker, Snowflake + Tableau, Segment + dbt, etc.), I can narrow this to the 2–3 platforms with the best native integration path and compare API limits, data model, pricing, and implementation effort.

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:

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.

For a small e-commerce team, I’d shortlist these:

• otterly.ai — probably the easiest starting point. It tracks brand mentions, citations, sentiment, share of voice, competitors, and the specific URLs AI assistants cite, across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. It also has AI-shopping analytics. Otterly
• tryprofound.com — stronger if your priority is product-level e-commerce visibility. Its Shopping product tracks individual SKUs, product placement, attributes, prices, merchant/checkout links, and competitor placement in ChatGPT Shopping. Its broader platform measures visibility and share of voice across major AI engines. Profound Profound
• peec.ai — worth evaluating as a middle-ground AI visibility analytics platform, particularly if you want reporting across multiple brands or markets. Current comparisons generally position it toward marketing/agency and mid-market use cases. Bloomiro Conbersa

My pick for your use case

Start with OtterlyAI if you mainly want a relatively lightweight dashboard showing:

“When people ask AI about products in our category, how often do we appear, which of our pages get cited, and how are we doing against competitors?”

Choose Profound if the more important question is:

“When ChatGPT actually recommends products, which of our SKUs appear, where do they rank, how are they described, and which merchant gets the checkout?”

That distinction matters for e-commerce: ordinary AI-search visibility and AI Shopping visibility aren't quite the same thing. Profound explicitly tracks the latter at SKU level. Profound Profound Knowledge Base

If you tell me roughly how many products/SKUs you have and your monthly budget (e.g. <$100, $100–500, $500+), I can narrow this to the best 2–3 options and compare their pricing/features.

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

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. The category you’re looking for is usually called AI search visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization) tracking.

The key distinction is that AI answers don't have a clean equivalent of a Google “position #3.” Instead, good tools measure things like:

• Google organic position for a query
• Whether you appear in ChatGPT
• Whether ChatGPT cites your domain/page
• Your position/prominence within the AI answer
• Which competitors are cited instead
• Visibility in Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, etc.
• Share of voice across the same set of queries

Tools that do this

Prism is particularly close to what you're describing. It explicitly combines Google rankings/GSC data with ChatGPT, Claude, Gemini and Perplexity visibility, letting you see where you're losing ground between conventional search and AI answers. Prism

searchprism.io

RankVisibly is another interesting option if you want a straightforward keyword-by-keyword comparison. Its report puts Google, AI Overviews, AI Mode, ChatGPT, Gemini and Perplexity alongside each other and shows the competitors that were cited instead of you. RankVisibly

rankvisibly.com

There are also more established/enterprise-oriented platforms such as Semrush, Profound, Otterly.AI, Peec AI, Scrunch AI, and BrightEdge that monitor AI visibility. Fulcru TrustData

The comparison I'd actually want

If your goal is “show me where my SEO success isn't translating into AI visibility”, I'd want a dashboard roughly like:

That lets you identify things like “We rank #1–3 on Google for 40% of our important queries, but we're only cited by ChatGPT for 12% of them.”

That's much more useful than simply tracking an “AI score.”

If you tell me what SEO tool you currently use (Ahrefs, Semrush, Search Console, etc.) and whether you're mainly interested in ChatGPT or all AI engines, I can narrow this down to the 2–3 tools that best fit your setup and budget.

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. 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.

If you’re a small agency on a limited budget, I’d start with Otterly.ai.

• otterly.ai — best budget starting point. Current reporting puts its entry plan around $29/month, with a small prompt allowance and coverage including ChatGPT, Google AI Overviews, Perplexity, and Copilot. It tracks mentions, citations, position, and visibility trends. Is My Brand in AI NXTG.AI
• peec.ai — better if you need more serious agency reporting. It starts around €89–$95/month and is stronger for competitor comparisons, sentiment, multilingual monitoring, and citation analysis. Loudmink TrendlyAI Blog
• tryprofound.com — probably overkill for you initially. It's much more oriented toward deep analytics and larger organizations; its entry pricing is around $99/month but meaningful multi-engine capability gets considerably more expensive. Loudmink
• Semrush AI Visibility Toolkit is worth considering if you already pay for Semrush. An add-on can make more sense than adding another standalone subscription. MentionsAPI

What I'd do in your shoes

For an agency, the important distinction isn't simply "does it mention my client?" You want to monitor:

1. Mention rate — how often the client appears.
2. Share of voice — client vs. competitors.
3. Citation URLs — why the AI is mentioning them.
4. Prompt-level results — the actual questions you're tracking.
5. Change over time — whether your SEO/content work is increasing visibility.
6. Multiple clients — ideally without paying a separate full subscription for each.

I'd therefore start with Otterly on 5–10 high-value prompts per client, rather than trying to monitor hundreds of queries. Once you're selling AI visibility as a recurring client deliverable, move up to Peec or an agency-oriented platform.

One caveat: this market is changing very quickly, and published pricing/features are moving around, so I'd verify the exact current tier before committing. Is My Brand in AI

If you tell me roughly how many clients you want to monitor (e.g. 5, 10, 25) and your monthly budget, I can narrow this to the cheapest setup that still gives you useful client reporting.

If your goal is specifically reputation risk from what AI assistants say about your company, rather than generic “AI SEO,” I’d shortlist these:

1. otterly.ai — best startup default.

It monitors your own prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and tracks mentions, sentiment, citations, competitors, and changes over time. It also runs monitoring daily. Otterly Otterly AI
Why I’d start here: relatively accessible, broad coverage, and you can actually see the underlying answers rather than just getting a mysterious “visibility score.” Its site currently lists pricing starting at $29/month. Otterly

2. tryprofound.com — best if reputation is strategically important.

Profound goes further on AI accuracy and reputation, including identifying incorrect claims and their sources. It also provides visibility/share-of-voice analysis and supports a larger set of AI platforms. Profound Profound
I'd look at this if you're a funded company with a marketing/PR team and a meaningful brand-risk budget.

3. Peec AI — worth evaluating for analytics.

It's another major player in AI-search visibility monitoring, particularly if you care about clean competitive analytics and reporting. Current industry comparisons generally put Peec, Otterly and Profound in the leading group. Conbersa Refine AI

What I'd actually monitor

Don't just track:

“Is my company mentioned?”

Build a reputation-risk prompt set around questions a prospect, journalist, investor, or employee might ask an AI:

• “What is [Company]?”
• “Is [Company] legitimate?”
• “What are the biggest complaints about [Company]?”
• “What are the alternatives to [Company]?”
• “Is [Company] better than [Competitor]?”
• “Should I buy/use [Company]?”
• “What are the risks of using [Company]?”
• “What do customers say about [Company]?”
• “Who founded [Company], and what is their background?”
• “Has [Company] had any controversies?”
• “Is [Company] financially stable?”
• “What are the disadvantages of [Company]?”

Then score each answer for accuracy, sentiment, prominence, competitor substitution, and source quality.

The particularly valuable signal isn't simply “ChatGPT said something negative.” It's:

“AI assistants are repeatedly making the same incorrect/negative claim, and we can identify the web sources apparently feeding that claim.”

That's where you can actually intervene.

My pick for a startup: start with OtterlyAI, spend a couple of weeks establishing a baseline, and only move to Profound if you discover that you need deeper enterprise-level monitoring or remediation. Otterly's current product explicitly supports response-by-response analysis, sentiment, competitor tracking and citation analysis, which maps unusually well to the reputation-risk use case. Otterly Otterly AI

If you tell me your startup's category + whether you're B2B or B2C + roughly how much you'd spend/month, I can narrow this to the best 2–3 options and tell you exactly what I'd monitor.

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.

Yes. I’d treat this as an AI-answer Share of Voice (SoV) monitoring problem rather than traditional SEO rank tracking.

My recommendation: start with Profound

tryprofound.com is probably the strongest fit if your goal is specifically “How often does ChatGPT mention us vs. competitors, and how is that changing?”

It tracks prompts across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode and other answer engines, and provides visibility, Share of Voice, competitor rankings, citations, sentiment, position, and prompt-level analysis. Profound Profound

The key metrics I'd put on an executive dashboard are:

Profound explicitly defines SoV around the frequency of your brand mentions relative to competitors and provides rankings/charts for it. Profound Knowledge Base Profound Knowledge Base

A simple way I'd calculate the headline number

Suppose you run 1,000 relevant prompts and get:

• Your company: 240 mentions
• Competitor A: 300
• Competitor B: 180
• Competitor C: 120
• Others: 160

Your AI Share of Voice = 240 / 1,000 = 24% under a mention-based methodology.

I'd actually maintain two separate metrics, though:

Visibility:
answers mentioning you / total answers

Competitive SoV:
your mentions / all tracked brand mentions

That's important because a brand can have high visibility while still losing competitive share. Peec's documentation makes the same distinction between visibility and SoV. Peec.ai Docs

Profound vs. Peec AI

peec.ai is the other product I'd seriously evaluate. It has particularly clear dashboards for competitor visibility, SoV, position and sentiment, with filtering by model, country, topic and prompt. Peec AI Peec.ai Docs

I'd choose:

• Profound → best if this becomes a serious enterprise competitive-intelligence/AEO program, especially if you care about citations and discovering unexpected competitors.
• Peec AI → attractive if you primarily want a straightforward brand vs. competitor visibility/SoV dashboard.
• Build your own → worthwhile if you have unusual prompt taxonomies, need proprietary scoring, or want to integrate the data into an existing BI/marketing stack.

The dashboard I'd build

Then drill down:

1. Overall SoV — current % and week/month change.
2. SoV by AI engine — ChatGPT vs Gemini vs Perplexity, etc.
3. SoV by topic — product comparisons, “best X,” alternatives, pricing, use cases, etc.
4. Prompt-level battles — “Competitor A appears 78%, we appear 21%.”
5. Citation gap — sites/pages cited for competitors but not you.
6. Trend — SoV over the last 30/90 days.
7. Answer quality — position + sentiment, not just presence.

The last two are important: a 25% SoV isn't necessarily better than 20% if the competitor is consistently recommended #1 and you're mentioned as an afterthought.

One important implementation detail

Don't just track a handful of manually invented prompts. Build a representative prompt universe covering your category, buying funnel, use cases, competitors, alternatives and high-intent questions, then run the same corpus repeatedly. Profound runs tracked prompts daily, while Peec also supports prompt-level and model-level analysis. Peec.ai Docs Profound

If this is for a marketing/brand team, my short answer is: pilot Profound and Peec side-by-side for 2–4 weeks, using the same 100–500 prompts, and compare the resulting SoV numbers before committing. The methodology matters as much as the dashboard.

Yes — this is now a defined category usually called AI visibility / AI search monitoring / GEO (Generative Engine Optimization). The tools actually run a fixed prompt set against AI assistants, capture the returned answers, identify brand/competitor mentions and citations, and calculate share of voice. Spawned Viali AI

My shortlist

• tryprofound.com — Strong enterprise-oriented choice for tracking brand presence across AI engines and analyzing what models say about you and competitors. A recent benchmark found Profound among the most frequently surfaced AI-visibility tools. Foglift
• otterly.ai — Purpose-built AI-search monitoring; particularly worth considering if your main KPI is brand mentions/share of voice across prompts and competitors.
• ahrefs.com — A good option if you're already an Ahrefs customer. It tracks ChatGPT, Gemini, Perplexity, Copilot and Google AI surfaces, including mentions, competitors and cited sources. Ahrefs
• peec.ai — Focused specifically on AI-search visibility and competitive monitoring.
• getlatentline.com — Interesting if you want answer-level evidence behind the SOV number. It tracks the prompts, answers, mentions, competitors and sources rather than just giving you a black-box visibility score. Latentline
• agentgeo.org — More API/developer-oriented. Particularly compelling if you want to build your own SOV calculation from the raw answers rather than rely on a vendor's metric. AgentGEO

One important distinction

If by "voice and chat channels" you mean spoken assistants such as Siri/Alexa/Google Assistant in addition to ChatGPT/Gemini/Perplexity, that's a different requirement.

Most of the current AI-SOV platforms primarily monitor text-based AI answers/search surfaces. For example, Ahrefs currently covers ChatGPT, Gemini, Perplexity, Copilot and Google's AI surfaces. Ahrefs

So if your goal is something like:

"Across every place a consumer can ask an AI about our category, what % of recommendations/mentions are us vs. competitors?"

I'd evaluate vendors specifically on actual answer crawling/API access, voice-assistant coverage, prompt sampling, repeat runs, competitor detection, and whether you can export the raw answers. Because AI answers are nondeterministic, multiple runs per prompt are important for a defensible SOV number. verityscore.io organikpi.com

If you tell me your industry and whether you mean ChatGPT/Gemini/Perplexity only or also Siri/Alexa/voice assistants, I can narrow this to the 2–3 tools I'd actually shortlist.

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. There’s now a fairly established AI visibility / AEO / GEO software category that does exactly this: tracks whether your brand appears in AI-generated answers and benchmarks you against competitors.

For an enterprise team, I’d look at these first:

• tryprofound.com — probably the clearest pure-play enterprise option. It tracks brand visibility across AI answer engines, prompt-level performance, citations, and competitor share of voice. It’s repeatedly positioned as the enterprise-oriented choice. Mention Radar AEO Labs
• similarweb.com — interesting if you want AI visibility connected to traffic, market intelligence, and competitive benchmarking, rather than just an AEO dashboard. Recent comparisons highlight its ability to connect AI visibility with broader digital/traffic context. Prism News Prism News
• peec.ai — more focused on AI-search monitoring and competitive visibility. Good fit if the core question is “how often are we recommended vs. competitors, and in which prompts/models?” Conbersa Mention Radar
• athenahq.ai — worth evaluating if you want the visibility data connected to GEO/content workflows and reporting rather than just measurement. Prism News
• sona.com — particularly interesting because it says it runs prompts against the consumer-facing AI experiences, then captures mentions, position, sentiment, citations, and competitor benchmarks. Sona

What these platforms actually measure

The useful ones go beyond a generic “AI visibility score.” They can give you things like:

That competitor + prompt + citation-source layer is the part I'd pay particular attention to. A single AI visibility score can be pretty vanity-oriented; knowing “Competitor X is winning 37 high-intent prompts because these 14 third-party pages are being cited” is much more actionable. AI Visibility Software Prism News

If you're evaluating this as a potential enterprise software category / product opportunity, there's an interesting distinction: most of these tools are essentially “rank trackers for AI answers.” The more differentiated products are moving toward competitive intelligence + attribution + recommendations/workflows. For example, newer platforms explicitly position themselves around connecting the visibility gap to the sources and actions needed to close it. geovium.com franixo.com

If you tell me whether you're shopping for a tool or thinking about building one, I can map the competitive landscape and tell you where the gaps are.

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 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.

Yes. There are now platforms that get quite close to exactly that combination, although “citation quality scoring” is still less standardized than AI share of voice.

The strongest matches I found:

• peec.ai — probably the closest established fit. It tracks AI visibility, Share of Voice, position, sentiment, and competitors, while also analyzing the sources/citations behind AI answers. Importantly, it distinguishes sources accessed from citations actually shown and has competitor citation-gap analysis. Peec AI Peec AI
• searchpanel.ai — particularly close to your wording. It scores competitors on the same scale, measures Share of Voice and head-to-head position, and captures the sources cited for each recommendation. Searchpanel
• bluejar.ai — combines AI visibility, competitor benchmarking and citation tracking, with a focus on identifying which citations need to be fixed. BlueJar
• insertengine.com — explicitly combines visibility scoring + competitor tracking + citation intelligence + an action engine. InsertEngine -
• searchdock.io — interesting if you want a more measurement-oriented approach. It reports AI Share of Voice against configured competitors alongside raw mention/citation counts and breaks results down by engine. SearchDock

The gap I see

If by “citation quality scoring” you mean something more sophisticated than “how often are we cited?”—for example:

Brand A: 42% AI Share of Voice
Brand B: 31%
But Brand B's citations are higher-quality because they're from authoritative, independent, category-relevant sources

—then I don't see a dominant platform that has fully solved that yet.

Most platforms currently measure things like:

• citation frequency
• domains/URLs cited
• citation rate
• competitor citation gaps
• source type
• whether the brand is mentioned/recommended
• AI Share of Voice

Peec, for example, classifies sources into editorial, corporate, UGC, reference, and owned-site categories and provides citation-gap analysis. Peec AI Peec.ai Docs

But a true Citation Quality Score could go further and score each citation on dimensions such as:

Authority × relevance × independence × topical expertise × freshness × prominence × competitor exclusivity

That would give you a much more useful metric than raw AI visibility.

If you're evaluating this as a product opportunity

I'd frame the category as:

AI Share of Voice + Citation Intelligence

rather than simply “AI visibility.”

The interesting dashboard would be something like:

That combination would answer not just “Are we winning AI search?”, but “Why are we winning/losing, and are the sources supporting our visibility actually strong?”

So, yes—the pieces exist, and Peec/Searchpanel/BlueJar are probably the closest current products. But there still appears to be room for a platform whose core differentiator is a rigorous, competitor-relative quality of citation, rather than merely citation volume. Peec AI Searchpanel BlueJar

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

For what you’re describing, OtterlyAI is probably the closest fit.

otterly.ai specifically tracks which URLs and domains AI search engines cite, rather than merely tracking whether your brand was mentioned. It can monitor prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. Otterly Otterly

What you'd get for an ecommerce blog

You could give it prompts such as:

• “What are the best running shoes for beginners?”
• “Best gifts for a 30-year-old man”
• “Which air fryer should I buy?”
• “Best organic skincare brands”
• “How do I choose a standing desk?”

Then see:

• Which domains AI cites — e.g. nytimes.com, reddit.com, yourcompetitor.com
• Which specific URLs get cited
• Which AI engine produced the citation
• How frequently each domain/URL is cited
• Which prompts caused a particular URL to be cited
• Whether your site was cited versus competitors
• Citation trends over time
• Citation gaps where competitors are being sourced but your content isn't Otterly OtterlyAI

It also has Domain Ranking & Analytics, which tracks domains and their URL citations and changes in link position over time. Otterly

One particularly useful feature

If your goal is “figure out what websites influence ChatGPT's answers in my ecommerce niche”, don't limit the tracking to your own domain.

Track a set of important commercial prompts and look at the top cited domains across all answers. That can reveal that, for example, AI answers in your category disproportionately draw from:

reddit.com → wirecutter.com → major publications → manufacturer sites → competitors

That gives you a much more actionable GEO/content strategy than simply knowing whether your own site appeared.

Otterly also provides API access to citation data, so you could potentially pipe the results into your own SEO/content dashboard. Otterly

My take: If your primary question is “What domains and URLs are ChatGPT/Perplexity/etc. citing for the queries my potential customers ask?”, I'd start with OtterlyAI rather than a conventional SEO tool.

If you tell me your ecommerce niche, I can also compare OtterlyAI vs Semrush vs Peec AI vs Ahrefs vs other AI-citation trackers specifically for finding which third-party sites you should get mentioned on.

For a small marketing agency managing multiple clients, I’d shortlist these:

• peec.ai — best overall agency fit. It’s specifically built around AI-search visibility, tracks multiple assistants, and is commonly positioned as the sweet spot between inexpensive trackers and enterprise platforms. One 2026 comparison puts it at about $95/mo starting and calls it a strong choice for agencies. AEO Labs Conbersa
• otterly.ai — best budget option. Good if you need to monitor lots of smaller clients without an enterprise bill. It tracks AI mentions/citations and share of voice across major AI search surfaces. AEO Labs Foglift
• citations.io — particularly interesting for agencies. It explicitly offers agency/multi-client tracking, white-label reports, competitor share of voice, citation monitoring, and implementation recommendations. It currently tracks ChatGPT, Perplexity, Gemini, and Claude. Citations
• foglift.io — worth testing if citation data is your priority. It tracks ChatGPT, Perplexity, Google AI, Claude, and Gemini, including cited URLs, competitors, share of voice, position, and sentiment. Foglift
• tryprofound.com — strongest enterprise-style option. Excellent depth, but probably more than a small agency needs unless AI visibility measurement is becoming a major revenue service. Independent 2026 testing puts it among the leaders for citation share. GeoHero Foglift

My pick

If your agency has, say, 5–30 clients, I'd start by demoing Peec AI and Citations.io, with Otterly as the lower-cost alternative.

The key distinction is that you want citation share of voice, not merely "does ChatGPT mention my brand?" A useful platform should let you see something like:

Client A: 24% citation SOV
Competitor B: 31%
Competitor C: 18%
Other: 27%

…and then break that down by prompt → AI assistant → cited URL → competitor → position. That's much more actionable for an agency reporting GEO/AEO results to clients. Foglift Citations

If you tell me roughly how many clients you manage and your monthly budget, I can narrow this to the 2–3 cheapest tools that support multi-client/white-label reporting and compare their current pricing.

Yes. The category is usually called AI visibility monitoring, LLM citation tracking, or GEO (generative engine optimization) monitoring. These platforms periodically ask AI assistants questions, record whether your site/blog appears as a cited source, and alert you when your visibility changes. RankScope Sona

Some options:

• semrush.com — Good if you already use SEO tools; its AI visibility features track appearances in AI-generated answers alongside broader SEO data. Search Engine Land
• otterly.ai — Focused on AI search monitoring; tracks mentions/citations across assistants such as ChatGPT, Perplexity, and others. KITLabs
• peec.ai — Built around monitoring brand visibility in AI answers and comparing competitors. Citation Hawk
• tryprofound.com — More enterprise-oriented AI visibility analytics. Search Engine Land
• genwolf.ai — Tracks prompts, mentions, citations, and source domains across several AI assistants. Genwolf

A couple of important caveats:

• These tools usually do not detect every time an AI model has “read” your blog. Models like ChatGPT generally do not expose a live feed of training data usage or every retrieval event.
• They mostly detect observable citations: “When someone asks an AI assistant this question, does the assistant cite your URL?” Citation Hawk Search Engine Land
• For a personal blog, you may not need a full platform. A lightweight setup can work: 1. Pick 20–50 questions your ideal readers might ask AI assistants.
• Track whether your pages appear as citations in ChatGPT, Perplexity, Gemini, and Claude.
• Run the checks weekly or monthly.
• Alert yourself when a page starts appearing—or disappears.

If your goal is specifically “email me the moment ChatGPT/Perplexity starts citing my blog URL”, the market is still a bit immature; most tools are prompt-monitoring dashboards rather than true URL mention firehoses. SEOExpert

If you tell me your blog size (e.g., 20 posts vs. 5,000 pages) and whether you care about ChatGPT only or all AI assistants, I can narrow down the best fit.

Yes. There’s now a fairly mature category for this: AI visibility / AI citation monitoring.

If your specific question is “Did ChatGPT, Perplexity, Gemini, etc. cite one of my actual URLs?”, rather than merely “did they mention my brand?”, I’d look at these:

• otterly.ai — probably the easiest place to start. It tracks the exact URLs cited in AI answers, including which of your pages are being cited, across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot. It also supports alerts/reporting. Otterly Otterly
• Peec AI — more marketing/SEO-oriented, with page-level citation tracking and competitive visibility analysis. It’s one of the more commonly compared options for this use case. The Rank Masters Conbersa
• Profound — geared more toward larger companies/enterprise GEO programs, with detailed source-level citation intelligence. SEO Counselors

One important distinction

These platforms generally don't have a magical feed of every time an AI assistant anywhere on the internet cites your page.

Instead, they periodically run a set of relevant prompts against AI search systems and record the sources those answers use. So, for example, you might configure:

“What are the best resources for learning X?”
“How does X work?”
“Best tools for X in 2026?”

Then the platform tells you something like:

ChatGPT — Aug 24
Citation: yoursite.com/blog/how-x-works

That makes them particularly useful for seeing which individual articles are becoming AI sources and whether citation frequency is increasing.

If your goal is specifically “alert me whenever any of my URLs gets cited, even if I didn't know which prompts to monitor”, that's a slightly different problem—and I can dig into whether there's a tool that does that rather than just prompt-based monitoring.

For an enterprise content team, you’re looking for an AI visibility / GEO (Generative Engine Optimization) platform rather than a traditional SEO rank tracker. The strongest options today track things like:

• Citation frequency — how often AI models cite your pages/brand
• Citation sources — which URLs/domains are being referenced
• AI answer share of voice — how often you appear vs. competitors
• Position/rank within generated answers (where available)
• Prompt-level tracking — the questions your customers actually ask
• Multi-model comparisons — ChatGPT vs. Claude vs. Gemini vs. Perplexity, etc.

A shortlist for enterprise content teams:

My recommendation by use case

For a global content/SEO team managing many pages and stakeholders

• Start with Citations.io or Profound. You’ll want historical trends, competitor benchmarking, and reporting workflows. Citations.io

For a content operations team trying to improve what gets cited

• Prioritize platforms that show: - exact cited URLs
• missing citation opportunities
• competitor pages winning citations
• prompt-level failures

For an SEO team adding AI search to an existing stack

• Look for API/export capability and integrations so AI visibility data can flow into dashboards.

Evaluation checklist for an enterprise purchase

Before signing, ask vendors:

1. Which models are queried directly?

• ChatGPT (which version?)
• Claude?
• Gemini?
• Perplexity?
• AI Overviews?
• Do you measure citations or just mentions?

• A brand mention is weaker than being the cited source.
• Can we upload our own prompt set?

• Enterprise teams usually need hundreds/thousands of buyer-intent queries.
• Can we see citation rank?

• Example: “Our page was citation #1 of 8 sources.”
• Can we export raw answers and evidence?

• Important for executives, PR, and content attribution.
• Does it support multiple brands/regions/business units?

• Critical for enterprise governance.

If I were building a 2026 enterprise content measurement stack, I’d shortlist Citations.io, Profound, Zumi, and BotScope for evaluation, then choose based on model coverage, data retention, API access, and reporting needs. Citations.io BotScope Zumi

If you mean “show me the AI questions where competitors/research sources get cited but our content doesn’t, so we can create content that earns the citation,” then OtterlyAI is probably the closest fit.

• otterly.ai — Its Gap Analyzer identifies prompts where competitors are named/cited and you aren't, while its citation tracking shows which URLs AI engines use instead. It also has content-audit and content-brief functionality aimed at turning those gaps into content actions. Otterly Otterly
• tryprofound.com — Better if you're an enterprise team wanting deeper source-level citation intelligence and competitor overlap across AI engines. SEO Counselors Bushnote
• peec.ai — More focused on clean AI-search visibility/citation analytics; useful for identifying where you're absent, but less of a content-production workflow. GeoHero

For your specific use case

I'd frame the requirement as “citation-gap / source-gap analysis,” not simply AI visibility.

You want a workflow like:

Prompt → AI answer → citations → competitor/source cited → assertion with no citation → opportunity → your research/data that could substantiate it → content/page to publish or update → re-test citation.

That's more valuable than a generic “AI visibility score.” Research on citation behavior also suggests that topical relevance and evidence-rich content are important determinants of which retrieved sources get cited. arxiv.org arxiv.org

My pick: start with OtterlyAI if the content team needs actionable gaps; evaluate Profound if you have an enterprise GEO/SEO operation and need deeper competitive source intelligence.

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

For a small marketing team, I’d avoid the enterprise AEO/GEO platforms unless you have a large SEO budget. The best fit is usually a lightweight AI visibility tracker that can answer:

• “How often does our brand appear in ChatGPT, Claude, Gemini, Perplexity, etc.?”
• “Which competitors are winning?”
• “Which prompts are we missing?”
• “Why are they being cited instead of us?” Spawned Built In

Here are the strongest options:

My shortlist for a small marketing team

Best overall: Otterly.ai

Good if your goal is: “Give me a weekly dashboard showing whether we’re gaining or losing AI visibility.”

Best dedicated AI share-of-voice tool: Peec AI

Good if AI search is becoming a major acquisition channel and you want prompt-level tracking. Semrush

Best if you already pay for SEO software: Semrush

Good if you want one system covering:

• traditional SEO
• competitor research
• AI visibility
• content opportunities Semrush

Best budget approach

For many small teams, I’d start with:

1. Pick 50–200 buyer-intent prompts.
2. Track them weekly across ChatGPT, Claude, Gemini, and Perplexity.
3. Measure: - brand mention rate
4. competitor mention rate
5. average position in answers
6. citations/source domains
7. sentiment/accuracy

A tool that only counts mentions is less valuable than one that shows which prompts you lose and what sources competitors are getting cited from. Spawned visibility.so

If you tell me your industry (B2B SaaS, ecommerce, local business, etc.), monthly budget, and whether you already use Semrush/Ahrefs/HubSpot, I can narrow this to 2–3 choices.

Yes. What you’re looking for is generally called AI visibility / answer-engine monitoring, but there’s an important distinction: you want a tool that monitors the actual claims AI assistants make about specific products, not just whether your brand is mentioned.

Best fit: tryprofound.com

Profound is probably the closest match. It can:

• Run your own prompts against ChatGPT, Claude, Gemini, Perplexity, Copilot and other AI answer engines on a daily basis.
• Track the actual responses and citations.
• Let you define prompts around your products and product attributes.
• Detect inaccurate claims about your brand through its FactCheck functionality, including the sources behind those claims.
• Trigger alerts when monitored metrics cross thresholds. Profound Profound Knowledge Base

So you could monitor prompts like:

“What are the differences between Product A and Product B?”
“What does [Product A] cost?”
“Does [Product A] support X?”
“What are the best alternatives to [Product A]?”

…and flag responses where the assistant says something that conflicts with your canonical product data.

Other options

• otterly.ai — good for scheduled monitoring of brand/product mentions, citations, and visibility across major AI search engines; it also offers an API if you want to build your own alerting layer. Otterly
• Peec AI — another option for monitoring AI-generated brand/product visibility and citations, particularly for marketing teams. Conbersa
• A custom monitoring pipeline — best if “outdated” has a precise definition for you. You can maintain a canonical product database, periodically query assistants with a fixed prompt set, compare their answers against that database, and alert Slack/email when an attribute changes or becomes incorrect.

For your exact use case, I'd lean toward Profound because it explicitly positions its product around finding inaccurate claims and their sources, rather than merely counting mentions. Profound

If you tell me what kind of product information tends to go stale (pricing, specs, availability, compatibility, features, etc.), I can also suggest the best architecture for automatically catching it.

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:

Yes. This is a rapidly emerging category often called LLM optimization (LLMO), Generative Engine Optimization (GEO), or AI visibility. The tools vary a lot in maturity, but several are specifically designed to measure and improve how often your content is cited or referenced by conversational AI systems.

Here's how the landscape breaks down:

What these tools actually do

Unlike traditional SEO tools that optimize for rankings, these platforms typically analyze things like:

• Whether ChatGPT, Claude, Gemini, Perplexity, or Copilot mention your brand
• Which pages are being cited
• Which competitors are cited instead
• What prompts trigger mentions
• Missing topical coverage
• Opportunities to make content more "citation-worthy"

Some can even simulate hundreds or thousands of prompts and measure how frequently your content appears.

What actually increases citations

The tools help identify gaps, but the biggest drivers of AI citations are generally:

• Comprehensive, fact-rich pages rather than thin marketing copy
• Original data, research, benchmarks, and statistics
• Clear structure with descriptive headings
• Explicit definitions and explanations
• Strong topical authority (multiple interconnected pages)
• Accurate metadata and schema markup
• Pages that other authoritative sites reference
• Frequently updated content

Conversational AIs increasingly favor content that is authoritative, well-organized, and easy to verify rather than simply optimized for keywords.

If you're on a budget

You don't necessarily need a dedicated GEO platform. A practical workflow is:

1. Use an SEO tool (Ahrefs or Semrush) to identify high-authority topics.
2. Test important prompts directly across ChatGPT, Perplexity, Gemini, and Claude.
3. Track whether your content is cited or paraphrased.
4. Improve pages by adding original insights, data, FAQs, and clearer structure.
5. Repeat the testing periodically.

Enterprise vs. SMB

• Enterprise: Profound AI and Scrunch AI currently have some of the most advanced monitoring capabilities for AI citations.
• Growing businesses: Goodie AI and Peec AI focus more directly on AI visibility without requiring a large SEO stack.
• Existing SEO users: Semrush and Ahrefs are steadily adding AI search visibility features, making them good choices if you're already using those platforms.

This space is evolving very quickly, so today's "AI SEO" tools are becoming more like analytics platforms that measure share of voice in conversational AI, rather than traditional search rankings.

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?”

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 is usually called AI visibility tracking, AI citation tracking, Generative Engine Optimization (GEO) tracking, or Answer Engine Optimization (AEO) monitoring. These tools don't literally crawl every AI assistant in the way Googlebot crawls the web; instead, they typically run tracked prompts against AI assistants, capture the answers, and record which domains/pages are cited or mentioned. Slate Foglift

Tools worth looking at:

• ahrefs.com — Tracks visibility across ChatGPT, Gemini, Perplexity, Copilot, and Google AI surfaces; reports mentions and cited domains/pages. Ahrefs
• otterly.ai — Focused on monitoring AI search results, citations, and crawlability signals across major AI answer engines. Citation Hawk
• conductor.com — Enterprise SEO platform with AI visibility/citation tracking capabilities. Citation Hawk
• tryprofound.com — Enterprise-focused AI search monitoring (often used by larger brands).
• peec.ai — Tracks brand visibility and citations in AI answers.
• citations.io — Specifically focused on which AI engines cite your brand and which sources they use. Citations.io
• indexly.ai — Tracks mentions, citations, sentiment, and AI referral traffic. Indexly

What you generally get from these platforms:

• Which AI assistants cite you

• ChatGPT
• Perplexity
• Gemini
• Claude
• Google AI Overviews / AI Mode
• Copilot (varies by vendor) Slate
• Which of your URLs appear

• /blog/how-to-x
• /docs/product-guide
• /research/report
• pricing/product pages
• The prompt that triggered it

• “best CRM for startups”
• “alternatives to X”
• “how do I solve Y problem”
• Who beats you

• competitor domains cited instead
• third-party pages ranking above your own content
• Trends

• citation share over time
• new pages being picked up
• lost citations

One important distinction: if you mean “which AI crawlers are actually visiting my site”, that is a different problem. You’d look at server logs, CDN analytics, or bot-management tools to identify crawlers such as GPTBot, ClaudeBot, Google-Extended, etc. If you mean “which of my pages are being used as sources in answers users see”, the AI citation trackers above are the right category. Foglift

For a marketing/SEO team, I’d usually evaluate them by asking:

1. Can it show the exact prompt + AI answer + cited URL?
2. Does it track your competitors’ citations?
3. Can it export the data?
4. Does it distinguish mention vs actual linked citation?

Those four capabilities are more useful than a single “AI visibility score.” Ahrefs Foglift

Yes. The category you’re looking for is usually called AI visibility tracking, LLM visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization) software.

These platforms let you define the questions your customers might ask—e.g. “What are the best payroll platforms for a 100-person company?”—and then repeatedly run those prompts across multiple AI systems to see whether your brand appears, where it appears, which competitors appear, and which sources the AI cites. Baarely Lyra

The ones I'd shortlist

Current comparisons put Profound at the high end for breadth and enterprise analytics, Peec in the mid-market/agency sweet spot, and Otterly as one of the easiest low-cost ways to start. Baarely Ayzeo Bloomiro

What I'd choose

If by “tell me which queries our brand ranks for” you mean you want something analogous to Google Search Console's queries → impressions → position, I'd focus on Profound, Peec, or Otterly.

The important distinction is that AI doesn't really have a conventional “keyword ranking” system. A good platform should instead show you something like:

Prompt: “Best CRM for a 50-person SaaS company”
ChatGPT: Brand mentioned #2
Perplexity: Brand mentioned #4
Gemini: Not mentioned
Claude: Brand mentioned #1
Competitor: Mentioned in 4/4
Citations: Your site, G2, Reddit, competitor comparison pages
Visibility/share of voice: 38%

That's much more useful than a generic “AI visibility score.” The better platforms track the individual prompts, competitors, citations, sentiment, and changes over time. PickMySoft UX Continuum

One especially important consideration: make sure the tool actually supports the AI surfaces your customers use. Coverage varies substantially—some products that advertise “multi-engine” monitoring only include a subset on their cheaper plans. Ayzeo Stork.AI

If you tell me your approximate company size, number of brands/domains, and whether you're B2B or B2C, I can narrow this to the 2–3 tools I'd actually demo, including current pricing and exactly what each can report.

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 goal is client-facing dashboards that track AI citations + answer placement across multiple AI platforms, my top pick right now is tryprofound.com.

My ranking

1. Profound — best overall for agencies / client reporting

• Tracks ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot, Grok, DeepSeek and others. Profound
• Measures visibility, share of voice, average position, citation share/rank, sentiment, and competitors.
• Particularly strong for citation analysis: you can see which domains/pages are being cited and whether citations go to you or competitors. Profound
• Custom dashboards + public links + PDF exports make it unusually well suited to client reporting. Profound
• You can create a dashboard per client and let clients access continuously updated data without a Profound login. Profound
• peec.ai — best alternative / potentially better UX

• Strong on visibility, position, sentiment, share of voice and citations across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode. Peec AI Peec AI
• Explicitly supports agencies managing multiple client brands from a dashboard. Peec AI
• I'd seriously demo this alongside Profound if your main use case is GEO/AEO monitoring rather than broader enterprise analytics.
• Otterly.ai — best for a lighter-weight setup

• Worth considering if you don't need the depth of Profound.
• Generally positioned more toward accessible AI-visibility monitoring than enterprise-grade analytics. Current comparisons put it among the leading dedicated AI visibility trackers. CitationDesk

What I'd choose for a client dashboard

For an agency, I'd structure the reporting around:

One important distinction: don't buy a tool solely because it gives you an "AI visibility score." For client reporting, you want the underlying prompt → answer → placement → citation/source data. Profound specifically exposes prompt-level responses and citation data, rather than only an aggregate score. Profound Knowledge Base Profound Knowledge Base

Bottom line

Agency + multiple clients + polished reporting → Profound.

GEO-focused team + strong visibility/citation analytics + simpler workflow → Peec AI.

If you're building this into your own white-label client dashboard, I'd evaluate them differently: API access, raw citation/answer data, historical retention, client/brand segmentation, webhook/export capability, and pricing per tracked prompt become much more important than the dashboard UI.

Yes. There are now several platforms specifically aimed at agencies selling AI visibility / GEO as a recurring service, with multi-client monitoring and white-label reporting.

A few worth looking at:

• peec.ai — probably one of the more mature options. Tracks mentions and citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, with multi-client management, automated reporting, APIs, and branded Looker Studio dashboards. Peec AI
• geneo.app — explicitly positioned as a white-label AI visibility platform. Offers your own domain, logo, client portal, and client-facing reports, with metrics such as citations and share of voice. Geneo
• qwairy.co — built around multi-client GEO management, portfolio dashboards, client access, white-label reporting, and Looker Studio integration. Qwairy
• towergeo.com — particularly agency-oriented: multi-client workspaces, competitor tracking, white-label PDFs, branded client dashboards, custom domains and scheduled reports. Tower GEO
• agencyscope.ai — more narrowly focused on the reporting workflow. It runs recurring checks across ChatGPT, Perplexity and Gemini and turns the evidence into white-label PDFs. AgencyScope
• jujugeo.com — interesting if you want more than reporting: it identifies where competitors are being cited instead, drafts fixes, then re-checks the same query after publishing to demonstrate citation movement. Its agency tier currently advertises up to 25 brands and white-label reporting. JujuGeo
• aisearchrank.ai — positioned as a full agency GEO platform, combining multi-client management, white-label reporting, audits, optimization and publishing workflows. AI Search Rank

If you're evaluating this as an agency

I'd separate them into three categories:

Peec is probably the first one I'd demo if you already have an SEO/content agency and want to add AI visibility reporting without rebuilding your reporting stack. Its API/MCP and Looker Studio integration are especially useful if you want to automate reports across a large client roster. Peec AI Peec AI

If you're thinking about building a platform like this, there's also a pretty interesting gap: most tools measure "did the AI mention/cite my client?", but fewer turn that into a genuinely useful agency deliverable—e.g. which competitor got cited instead, which source caused it, what should we change, and did the citation move after the change? jujuGEO is explicitly moving in that direction. JujuGeo

I can also compare 10–15 of these platforms on pricing, AI engines, citation-level data, API, white-label portals, Looker Studio, automated reports, and number of client accounts if you're deciding which one to use.

Yes. There are a few categories of platforms that overlap with what you're describing, but I don't know of one that does exactly "track client-specific AI answer snippets across LLMs and automatically produce client-facing executive summaries" out of the box. It's an emerging space.

Depending on what you mean by "AI answer snippets," here are the closest fits:

If you're referring to AI search visibility (e.g., "How does ChatGPT answer questions about Client A?"), that's a different category. Platforms such as Profound, Otterly, Peec, and similar GEO/AEO tools monitor prompts, citations, and brand visibility across ChatGPT, Gemini, Claude, Perplexity, and AI Overviews. Many agencies use these to generate recurring client reports. TechRadar Reddit Reddit

What I think you're envisioning

From your wording, I imagine something more like this:

1. Define 100–500 prompts per client.
2. Run those prompts daily or weekly across ChatGPT, Claude, Gemini, Perplexity, etc.
3. Store every answer.
4. Detect changes: - New mentions
5. Lost mentions
6. Competitor displacement
7. Incorrect facts
8. Sentiment shifts
9. Cluster answers into themes.
10. Generate a polished client report such as: > "This month your brand appeared in 64% of AI recommendations (+8%). AI increasingly associates you with enterprise compliance, but still omits your SOC 2 certification. Competitor X is replacing you for pricing-related queries."

I don't know of a mature platform that combines cross-LLM answer archiving, semantic diffing, executive summaries, and white-label agency reporting in one product. Most current tools stop at dashboards and visibility metrics rather than producing narrative, client-ready summaries. Community discussions also suggest the market is still early and many tools focus on analytics more than actionable reporting. Reddit Reddit

If you were building this

A compelling feature set could include:

• Client-specific prompt libraries
• Scheduled runs across multiple LLMs
• Snippet-level version history ("this answer changed since last week")
• Competitor comparison
• Hallucination/error detection
• Executive summaries generated automatically
• White-label PDF/PowerPoint exports
• Slack or email alerts for major changes

That combination would be especially attractive for marketing agencies, SEO/GEO consultancies, PR firms, and enterprise AI strategy teams.

Is your goal AI search/GEO reporting (tracking how public LLMs answer about clients), or tracking responses from AI assistants you've built for each client? Those are related but distinct problems, and the best platform depends on which one you're solving.

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 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.