ChatGPT answers, unedited

Yes. What you’re describing is usually called AI visibility tracking, AI search monitoring, or GEO (Generative Engine Optimization) tracking. These tools don’t exactly “crawl AI assistants” in the same way Google crawls websites; instead, they typically run tracked prompts against AI answer engines, capture the responses, and extract which domains/pages are mentioned or cited. Ahrefs Tracemetry

Some tools that do this:

• ahrefs.com — Tracks brand visibility across ChatGPT, Gemini, Perplexity, Copilot, and Google AI features; reports mentions and cited pages/domains. Ahrefs
• citations.io — Focused specifically on AI citations; shows when AI engines cite you, which URLs are cited, and competitor sources. Citations.io
• mentionscout.com — Tracks AI answers across multiple engines and surfaces the source URLs behind citations. MentionScout
• rankscale.ai — Tracks cited domains and URLs across AI engines and analyzes citation share. Rankscale.ai
• deepsmith.ai — Tracks whether AI answers mention or cite your brand and which sources are trusted. DeepSmith

Typical outputs look like:

A few caveats:

• There is no universal crawler/API that sees every ChatGPT/Gemini/Claude answer in the wild. Most tools sample answers by repeatedly asking tracked questions. Tracemetry
• Results depend heavily on the prompts you monitor. Good tools let you define your customer questions and competitors. MentionScout
• “Used as an answer” can mean different things: - your page was linked/cited
• your content was used but not linked
• your brand was mentioned
• your competitor was chosen instead

If your goal is specifically “which URLs on my site are being pulled into AI answers and for what queries?”, I’d look first at citation-focused tools (Citations.io, MentionScout, Rankscale) rather than general SEO suites. Citations.io MentionScout Rankscale.ai

Yes. What you’re describing is usually called AI search visibility / AI citation tracking or GEO (Generative Engine Optimization) monitoring.

These tools repeatedly run relevant prompts through AI answer engines and record which exact URLs get cited, which competitors get cited instead, and often the prompt/answer/engine involved.

Tools worth looking at

• OtterlyAI — probably the closest match. It tracks citations across ChatGPT, Google AI Overviews, Perplexity, Gemini and Copilot, and its citation report can show the prompts where a particular URL was cited and which engine cited it. otterly.aiotterly.ai
• Ahrefs AI Visibility Checker — particularly useful if you're already an Ahrefs user. It reports which domains and pages get cited alongside your brand across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. ahrefs.comcitations.io
• Indexly — tracks citations across ChatGPT, Claude, Gemini, Perplexity, Grok and AI Overviews, including the source list for each tracked prompt. It also tracks AI referral traffic. indexly.ai
• SERPclimber AI Visibility — interesting if your goal is specifically “which of our pages are winning/losing?” It tracks citation position, the competitor URL cited instead, and even whether AI crawlers are fetching your site. serpclimber.com
• Citations.io — focuses specifically on AI citations and shows which sources are being cited across ChatGPT, Gemini, Perplexity and Claude. citations.io

The distinction I'd pay attention to

There are actually two different products being sold under “AI visibility”:

1. Brand monitoring

“Does ChatGPT mention our company?”

2. Citation/source monitoring

“For questions in our market, which exact URLs does ChatGPT use to construct its answer?”

You want #2.

For example, ideally your dashboard would say:

That lets you answer the much more actionable question: “Which pages do we need to improve so AI assistants start using them as sources?”

One caveat: these aren't literally crawling all AI assistants continuously. They generally maintain a set of relevant prompts, query the AI/search surfaces repeatedly, and capture the citations returned. Results can also vary by location, personalization, prompt wording and time. otterly.aiotterly.ai

If you tell me what your site/business is and roughly how many pages you have, I can narrow this down to the 2–3 tools that best fit your use case, including which ones actually give you URL-level attribution rather than just brand mentions.

Yes. What you're describing is generally called AI search visibility / AI citation tracking / GEO monitoring.

The closest tools I've found are:

• scrunch.com — probably the closest match. It tracks prompts across ChatGPT, Gemini, Perplexity and others, then shows the exact URLs cited, including which pages on your own domain are being used and which prompts produced those citations. Scrunch Scrunch Help Center
• otterly.ai — tracks AI citations across ChatGPT, Google AI Overviews/Mode, Perplexity, Gemini and Copilot. Its citation-detail view shows which prompts cited a particular URL and which engine cited it. Otterly Otterly
• indexly.ai — particularly interesting if your main question is "Which of our individual pages are being cited?" It provides URL-level citation counts by AI model and lets you filter by page/path. Indexly
• citations.io — monitors ChatGPT, Gemini, Perplexity and Claude and shows the sources selected for tracked customer queries, including competitors and third-party sources. Citations
• citescopeai.com — more narrowly focused on tracking whether specific URLs get cited by AI assistants. Citescope AI

One important distinction

These aren't literally crawling the AI assistants themselves. Most of them work by:

1. Defining a set of prompts/questions relevant to your business.
2. Running those prompts against the AI/search engines periodically.
3. Capturing the answers and their cited sources.
4. Mapping those citations back to specific URLs on your site.
5. Showing trends such as "this page was cited 47 times, mostly by ChatGPT, for these 12 prompts." Scrunch Help Center Scrunch

So if your actual goal is:

"Give me a map of our entire site → which AI assistants cite each URL → for what questions → how frequently → and what competitors' pages are being cited instead."

then Scrunch, OtterlyAI, and Indexly are the ones I'd investigate first.

There's also a potentially important distinction between citation tracking and AI crawler/server-log tracking. If by "crawls AI assistants" you mean "which AI bots are actually visiting/crawling our pages, what did they crawl, and did those visits subsequently result in citations?", that's a somewhat different product category. WhiteRank, for example, explicitly offers AI-bot analytics alongside citation visibility. WhiteRank

If you tell me roughly how many pages you have and which assistants matter (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc.), I can narrow this down to the 2–3 tools that best fit and compare their pricing, coverage, API/export capabilities, and page-level reporting.

Yes. What you’re describing is now generally called AI visibility / AI citation tracking / GEO (Generative Engine Optimization).

A few tools specifically get close to “which of our pages are being used in AI answers, for which questions, and by which assistant?”

• Ahrefs AI Visibility Checker — tracks ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, including which domains and pages get cited. Probably the most established option if you're already using Ahrefs.
• LLMRanks — particularly relevant to your question. It shows the exact pages cited for each prompt and each AI engine, including competitor pages that are cited when yours aren't.
• Indexly — tracks citations across ChatGPT, Claude, Gemini, Perplexity, Grok and AI Overviews, with citation data and AI referral traffic.
• Kadriva — tracks citations across ChatGPT, Perplexity, Gemini and Google AI Overviews, with page-level visibility and geographic coverage.
• AmICited — interesting if you want to see the actual answer history, rather than just a visibility score. It stores responses and lets you see when you went from uncited → cited.
• LLM Pulse's citation tracking — explicitly lets you drill down from domain → host → individual cited URLs, with per-model breakdowns.

The important distinction

There are really two different products being sold under “AI visibility”:

1. Brand monitoring

“Does ChatGPT mention Acme?”

Useful, but fairly shallow.

2. Citation/source intelligence

“Someone asked ChatGPT ‘best X for Y’. ChatGPT answered with these 6 recommendations, and it cited /blog/comparison-x-y, /product/x, and /guide/y from our site.”

The second is what you're describing. Tools like LLMRanks, LLM Pulse, Ahrefs and Indexly are much closer to it. llmranks.io

One caveat: there isn't a universal crawler that can observe everything users ask every AI assistant. These platforms generally run their own sets of prompts against the assistants/APIs, then record the answers and citations. So “which pages could be cited” and “which pages were actually cited in our tracked answers” are different datasets.

If you're thinking about this from an SEO/content team's perspective, I can also compare the best 5–10 tools specifically on page-level citations, prompt discovery, competitor citations, historical tracking, API access, and price.

Yes. What you’re describing is usually called AI search visibility / AI citation tracking / GEO (Generative Engine Optimization).

These tools repeatedly run relevant prompts through AI assistants and record which domains and exact URLs are cited in the answers.

A few worth looking at:

• Ahrefs AI Visibility Checker — tracks ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews; importantly, its reports include the domains and pages cited.
• Indexly AI Citation Tracker — particularly close to what you're asking: it claims to show exactly which pages on your domain ChatGPT, Claude, Gemini, Perplexity and Grok cited, with counts over time.
• Lantern Page Tracking — specifically built around tracking which of your URLs get cited across ChatGPT, Claude, Perplexity and other AI search surfaces.
• Orbilo Citation Tracking — records the exact URLs cited for each tracked prompt and lets you see whether your page, a competitor's page, or a third-party source won the citation.
• CiteScope AI — tracks prompts across ChatGPT, Gemini and Perplexity and shows the actual queries, answers and sources.

The important distinction

There are really two different things you might mean by "crawls AI assistants":

1. "Which of our pages are being cited?"
This is now fairly well supported. You give the tool your domain + a set of questions/topics, and it records things like:

Prompt: "Best accounting software for startups"
ChatGPT → yoursite.com/compare/accounting-software
Perplexity → competitor.com/review
Gemini → yoursite.com/guides/startup-accounting
Claude → no citation

2. "Tell me every time an AI assistant anywhere uses one of our pages."
That's much harder, and no tool can reliably observe every AI answer being generated worldwide. These products generally have to generate their own representative prompts and query the AI systems periodically. So the data is a monitored sample, not a comprehensive log of all users' ChatGPT/Claude/Gemini conversations. oversearch.ai

If your goal is content/SEO intelligence, I'd pay particular attention to tools that give you the URL-level citation matrix, rather than just a generic "AI visibility score." Indexly, Lantern and Orbilo look closest to that specific use case.

If you tell me roughly how many pages/domains you have and which assistants matter (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc.), I can compare the best 5–10 options by exact URL tracking, prompt discovery, historical data, API access, pricing, and whether they actually crawl your whole site vs. just monitor selected URLs.

Yes. The category is usually called AI citation tracking, AI visibility tracking, AEO (Answer Engine Optimization) analytics, or GEO (Generative Engine Optimization) tools. These tools don’t literally “crawl all AI assistants” (because most assistants don’t expose their internal usage logs), but they run controlled prompts against AI systems, capture the answers, and record which URLs/domains are cited or mentioned. slatehq.com

Tools worth looking at:

For a marketing/SEO team, the dashboard you probably want looks like:

• Prompt: “best CRM for small businesses”
• AI engine: ChatGPT / Gemini / Perplexity / Claude
• Answer returned
• Sources cited
• Your URL cited? yes/no
• Exact page cited: /blog/best-crm-guide
• Competitors cited instead
• Citation frequency over time

A few caveats:

• No tool can know “ChatGPT trained on our page” or “Claude used our article internally” — that data is not exposed.
• The reliable measurement is visible citations and linked sources in AI answers.
• Results vary heavily by prompt, location, logged-in state, model version, and whether the assistant uses web search.

If your goal is specifically “which pages on our domain are being used as answers and for which customer questions?”, I’d focus on tools that expose URL-level citations + prompt-level answers, not just brand mentions. ai-cdn.scrunchai.comindexly.ai

Yes. What you’re describing is usually called AI visibility / AI citation tracking or GEO (Generative Engine Optimization) monitoring.

The important distinction is that you don't just want to know “does ChatGPT mention our brand?” You want to know:

• Which of our exact URLs are cited
• Which AI assistant/engine cited them
• What prompt triggered the citation
• What the AI answer actually said
• Where in the source list your page appeared
• Which competitor pages were cited instead
• How those citations change over time

A few tools now do this:

Microsoft Clarity is particularly close to what you described. Its AI Visibility Citation dashboard explicitly shows your cited pages, citation counts, associated queries, and the queries AI systems used to retrieve your content. learn.microsoft.com

Microsoft Clarity AI Citation dashboard

Ahrefs Brand Radar is another strong option. It reports both AI mentions and citations and can identify the specific URLs being cited. ahrefs.com

Ahrefs AI Visibility Checker / Brand Radar

OtterlyAI is more purpose-built around this use case: it monitors prompts across multiple AI engines and analyzes mentions, citations, competitors, and trends. otterly.aiahrefs.com

OtterlyAI

One important caveat

These tools generally don't literally crawl every conversation happening in ChatGPT/Gemini/etc. That's not technically available to them. Instead, they run a large set of representative prompts against the AI/search systems and record the resulting answers and citations. Ahrefs, for example, describes its system as using search-backed prompts, while Otterly describes automated querying of AI search engines. otterly.aiahrefs.com

So if your goal is something like:

“Give me every URL on our site and tell me which AI assistants are currently using each URL as a source, for what questions, and how often.”

Yes, that category of product exists now. Microsoft Clarity, Indexly, Frase, and Otterly are especially worth looking at.

If you tell me roughly how many pages your site has and which assistants matter most (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc.), I can narrow this down to the 2–3 tools that best fit your use case and compare pricing/data coverage.

Yes. What you’re looking for is generally called AI search monitoring, AI citation tracking, or GEO (Generative Engine Optimization) tracking.

These tools essentially run a large set of questions through AI assistants/search engines and record:

• Which of your URLs get cited
• Which AI assistant cited them — ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode, etc.
• What prompt/question triggered the citation
• Where your page appeared in the answer/source list
• How often each URL is cited over time
• Which competitor pages are being cited instead
• Whether you're merely mentioned or actually linked/cited

A few worth looking at:

For example, you could get a report resembling:

Prompt: "Best accounting software for small businesses"
ChatGPT: Your /accounting-software-guide → cited #2
Perplexity: Competitor /best-accounting-software → cited #1
Gemini: Your /accounting-software-guide → cited #3
Google AI Overview: Your /pricing → cited
Claude: No citation

That's substantially more useful than simply knowing "our brand was mentioned."

One important distinction: these products generally aren't literally crawling all AI conversations. They create/track a defined set of prompts and query the AI/search systems repeatedly, then collect the answers and citations. Ahrefs, for example, describes its system as using search-backed prompts and can show the specific pages cited alongside your brand. ahrefs.com

If your goal is specifically "crawl our entire site and tell me which pages are being used by AI, by which assistant, for what questions, and where in the answer", I can compare the best tools for that exact use case—including pricing, API access, number of prompts, historical data, and whether they can track every URL on a large site.

Yes. A new category of tools has emerged for exactly this use case, often called AI visibility, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) platforms.

They don't literally crawl ChatGPT's internal knowledge. Instead, they:

• Run thousands of prompts across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, etc.
• Record which brands and URLs appear in answers.
• Track which pages are cited as sources (where the platform exposes citations).
• Compare your visibility against competitors.
• Show trends over time and often recommend content improvements. otterly.ai

Here's how the leading tools compare:

If your question is specifically:

"Which of our pages are being used by AI assistants as answers?"

The better platforms will tell you things like:

• /blog/xyz-guide is cited in 18% of ChatGPT answers for a tracked prompt set.
• /pricing is never cited.
• Competitor X's comparison page is cited instead.
• These third-party sites are referenced more often than your own pages.

Some also show:

• Share of voice
• Sentiment
• Exact prompts that triggered citations
• Citation history over time
• Missing topics where competitors are cited instead. otterly.ai

One limitation

No tool can tell you every time ChatGPT "used" your page internally. That's because:

• Many models answer from training data without exposing sources.
• Responses are personalized and can vary by user and over time.
• Only some AI products provide explicit citations or web references.

These platforms therefore measure observable AI answers by repeatedly querying the assistants, rather than inspecting the models themselves. otterly.ai

My recommendations

• Small to mid-sized company: Otterly AI
• SEO-heavy organization: Ahrefs Brand Radar or Semrush AI Visibility
• Enterprise / dedicated GEO team: Profound
• If your main goal is "which URLs get cited and why": Peec AI or Otterly AI tend to focus heavily on page-level citation reporting. otterly.ai

If you're thinking beyond monitoring and want to build an internal dashboard, it's also possible to automate this yourself by maintaining a prompt library, querying multiple AI assistants on a schedule, extracting cited URLs, and storing the results in a database for reporting. Many companies end up doing this alongside a commercial tool for more customized tracking.

Yes. A new category of tools has emerged for exactly this use case, often called AI visibility, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) platforms.

They don't literally crawl ChatGPT's internal knowledge. Instead, they:

• Run thousands of prompts across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, etc.
• Record which brands and URLs appear in answers.
• Track which pages are cited as sources (where the platform exposes citations).
• Compare your visibility against competitors.
• Show trends over time and often recommend content improvements. otterly.ai

Here's how the leading tools compare:

If your question is specifically:

"Which of our pages are being used by AI assistants as answers?"

The better platforms will tell you things like:

• /blog/xyz-guide is cited in 18% of ChatGPT answers for a tracked prompt set.
• /pricing is never cited.
• Competitor X's comparison page is cited instead.
• These third-party sites are referenced more often than your own pages.

Some also show:

• Share of voice
• Sentiment
• Exact prompts that triggered citations
• Citation history over time
• Missing topics where competitors are cited instead. otterly.ai

One limitation

No tool can tell you every time ChatGPT "used" your page internally. That's because:

• Many models answer from training data without exposing sources.
• Responses are personalized and can vary by user and over time.
• Only some AI products provide explicit citations or web references.

These platforms therefore measure observable AI answers by repeatedly querying the assistants, rather than inspecting the models themselves. otterly.ai

My recommendations

• Small to mid-sized company: Otterly AI
• SEO-heavy organization: Ahrefs Brand Radar or Semrush AI Visibility
• Enterprise / dedicated GEO team: Profound
• If your main goal is "which URLs get cited and why": Peec AI or Otterly AI tend to focus heavily on page-level citation reporting. otterly.ai

If you're thinking beyond monitoring and want to build an internal dashboard, it's also possible to automate this yourself by maintaining a prompt library, querying multiple AI assistants on a schedule, extracting cited URLs, and storing the results in a database for reporting. Many companies end up doing this alongside a commercial tool for more customized tracking.

Yes. What you’re describing is generally called AI search visibility / GEO (Generative Engine Optimization) tracking.

A few tools now do substantially what you’re asking:

• OtterlyAI — probably the closest match. It runs your target prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, then tracks which URLs are cited, including your own pages and competitors'. Its Citation Details view can show the exact prompts where a particular URL was cited and which AI engine cited it. otterly.ai
• Profound — enterprise-oriented AI visibility monitoring; useful for tracking how brands and content appear across AI answers.
• Semrush AI Visibility Toolkit — integrates AI visibility into a broader SEO platform.
• Ahrefs — its AI visibility/Brand Radar capabilities are useful if you're already heavily invested in Ahrefs.
• Scrunch — more focused on how AI agents interact with and interpret your site, including technical AI-readability.

The distinction I'd pay attention to

If your question is specifically:

"We have 50,000 URLs. Which of our URLs are actually being used/cited in AI answers, for what questions, by which AI, and how often?"

then you want a citation-level tracker, not merely a brand-monitoring tool.

Ideally the output looks something like:

OtterlyAI is currently particularly interesting for this use case because its citation reporting explicitly gets down to the URL and prompt level. otterly.aihelp.otterly.ai

One important caveat: these aren't literally watching every real user conversation inside ChatGPT/Claude/etc. They generally run a controlled set of prompts repeatedly and record the answers/citations. AI answers are also nondeterministic, so a page being cited once doesn't mean it will be cited every time. Recent research specifically finds substantial variation between repeated AI-search queries. arxiv.org

If you're asking because you want to build this for your own site, that's also very doable—and there are some interesting ways to make it considerably more useful than the existing tools.

Yes. A new category of tools has emerged for exactly this use case, often called AI visibility, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) platforms.

They don't literally crawl ChatGPT's internal knowledge. Instead, they:

• Run thousands of prompts across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, etc.
• Record which brands and URLs appear in answers.
• Track which pages are cited as sources (where the platform exposes citations).
• Compare your visibility against competitors.
• Show trends over time and often recommend content improvements. otterly.ai

Here's how the leading tools compare:

If your question is specifically:

"Which of our pages are being used by AI assistants as answers?"

The better platforms will tell you things like:

• /blog/xyz-guide is cited in 18% of ChatGPT answers for a tracked prompt set.
• /pricing is never cited.
• Competitor X's comparison page is cited instead.
• These third-party sites are referenced more often than your own pages.

Some also show:

• Share of voice
• Sentiment
• Exact prompts that triggered citations
• Citation history over time
• Missing topics where competitors are cited instead. otterly.ai

One limitation

No tool can tell you every time ChatGPT "used" your page internally. That's because:

• Many models answer from training data without exposing sources.
• Responses are personalized and can vary by user and over time.
• Only some AI products provide explicit citations or web references.

These platforms therefore measure observable AI answers by repeatedly querying the assistants, rather than inspecting the models themselves. otterly.ai

My recommendations

• Small to mid-sized company: Otterly AI
• SEO-heavy organization: Ahrefs Brand Radar or Semrush AI Visibility
• Enterprise / dedicated GEO team: Profound
• If your main goal is "which URLs get cited and why": Peec AI or Otterly AI tend to focus heavily on page-level citation reporting. otterly.ai

If you're thinking beyond monitoring and want to build an internal dashboard, it's also possible to automate this yourself by maintaining a prompt library, querying multiple AI assistants on a schedule, extracting cited URLs, and storing the results in a database for reporting. Many companies end up doing this alongside a commercial tool for more customized tracking.

Yes. A new category of tools has emerged for exactly this use case, often called AI visibility, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) platforms.

They don't literally crawl ChatGPT's internal knowledge. Instead, they:

• Run thousands of prompts across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, etc.
• Record which brands and URLs appear in answers.
• Track which pages are cited as sources (where the platform exposes citations).
• Compare your visibility against competitors.
• Show trends over time and often recommend content improvements. otterly.ai

Here's how the leading tools compare:

If your question is specifically:

"Which of our pages are being used by AI assistants as answers?"

The better platforms will tell you things like:

• /blog/xyz-guide is cited in 18% of ChatGPT answers for a tracked prompt set.
• /pricing is never cited.
• Competitor X's comparison page is cited instead.
• These third-party sites are referenced more often than your own pages.

Some also show:

• Share of voice
• Sentiment
• Exact prompts that triggered citations
• Citation history over time
• Missing topics where competitors are cited instead. otterly.ai

One limitation

No tool can tell you every time ChatGPT "used" your page internally. That's because:

• Many models answer from training data without exposing sources.
• Responses are personalized and can vary by user and over time.
• Only some AI products provide explicit citations or web references.

These platforms therefore measure observable AI answers by repeatedly querying the assistants, rather than inspecting the models themselves. otterly.ai

My recommendations

• Small to mid-sized company: Otterly AI
• SEO-heavy organization: Ahrefs Brand Radar or Semrush AI Visibility
• Enterprise / dedicated GEO team: Profound
• If your main goal is "which URLs get cited and why": Peec AI or Otterly AI tend to focus heavily on page-level citation reporting. otterly.ai

If you're thinking beyond monitoring and want to build an internal dashboard, it's also possible to automate this yourself by maintaining a prompt library, querying multiple AI assistants on a schedule, extracting cited URLs, and storing the results in a database for reporting. Many companies end up doing this alongside a commercial tool for more customized tracking.

Yes. A new category of tools has emerged for exactly this use case, often called AI visibility, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) platforms.

They don't literally crawl ChatGPT's internal knowledge. Instead, they:

• Run thousands of prompts across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, etc.
• Record which brands and URLs appear in answers.
• Track which pages are cited as sources (where the platform exposes citations).
• Compare your visibility against competitors.
• Show trends over time and often recommend content improvements. otterly.ai

Here's how the leading tools compare:

If your question is specifically:

"Which of our pages are being used by AI assistants as answers?"

The better platforms will tell you things like:

• /blog/xyz-guide is cited in 18% of ChatGPT answers for a tracked prompt set.
• /pricing is never cited.
• Competitor X's comparison page is cited instead.
• These third-party sites are referenced more often than your own pages.

Some also show:

• Share of voice
• Sentiment
• Exact prompts that triggered citations
• Citation history over time
• Missing topics where competitors are cited instead. otterly.ai

One limitation

No tool can tell you every time ChatGPT "used" your page internally. That's because:

• Many models answer from training data without exposing sources.
• Responses are personalized and can vary by user and over time.
• Only some AI products provide explicit citations or web references.

These platforms therefore measure observable AI answers by repeatedly querying the assistants, rather than inspecting the models themselves. otterly.ai

My recommendations

• Small to mid-sized company: Otterly AI
• SEO-heavy organization: Ahrefs Brand Radar or Semrush AI Visibility
• Enterprise / dedicated GEO team: Profound
• If your main goal is "which URLs get cited and why": Peec AI or Otterly AI tend to focus heavily on page-level citation reporting. otterly.ai

If you're thinking beyond monitoring and want to build an internal dashboard, it's also possible to automate this yourself by maintaining a prompt library, querying multiple AI assistants on a schedule, extracting cited URLs, and storing the results in a database for reporting. Many companies end up doing this alongside a commercial tool for more customized tracking.

Yes. A new category of tools has emerged for exactly this use case, often called AI visibility, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) platforms.

They don't literally crawl ChatGPT's internal knowledge. Instead, they:

• Run thousands of prompts across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, etc.
• Record which brands and URLs appear in answers.
• Track which pages are cited as sources (where the platform exposes citations).
• Compare your visibility against competitors.
• Show trends over time and often recommend content improvements. otterly.ai

Here's how the leading tools compare:

If your question is specifically:

"Which of our pages are being used by AI assistants as answers?"

The better platforms will tell you things like:

• /blog/xyz-guide is cited in 18% of ChatGPT answers for a tracked prompt set.
• /pricing is never cited.
• Competitor X's comparison page is cited instead.
• These third-party sites are referenced more often than your own pages.

Some also show:

• Share of voice
• Sentiment
• Exact prompts that triggered citations
• Citation history over time
• Missing topics where competitors are cited instead. otterly.ai

One limitation

No tool can tell you every time ChatGPT "used" your page internally. That's because:

• Many models answer from training data without exposing sources.
• Responses are personalized and can vary by user and over time.
• Only some AI products provide explicit citations or web references.

These platforms therefore measure observable AI answers by repeatedly querying the assistants, rather than inspecting the models themselves. otterly.ai

My recommendations

• Small to mid-sized company: Otterly AI
• SEO-heavy organization: Ahrefs Brand Radar or Semrush AI Visibility
• Enterprise / dedicated GEO team: Profound
• If your main goal is "which URLs get cited and why": Peec AI or Otterly AI tend to focus heavily on page-level citation reporting. otterly.ai

If you're thinking beyond monitoring and want to build an internal dashboard, it's also possible to automate this yourself by maintaining a prompt library, querying multiple AI assistants on a schedule, extracting cited URLs, and storing the results in a database for reporting. Many companies end up doing this alongside a commercial tool for more customized tracking.

Yes. A new category of tools has emerged for exactly this use case, often called AI visibility, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) platforms.

They don't literally crawl ChatGPT's internal knowledge. Instead, they:

• Run thousands of prompts across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, etc.
• Record which brands and URLs appear in answers.
• Track which pages are cited as sources (where the platform exposes citations).
• Compare your visibility against competitors.
• Show trends over time and often recommend content improvements. otterly.ai

Here's how the leading tools compare:

If your question is specifically:

"Which of our pages are being used by AI assistants as answers?"

The better platforms will tell you things like:

• /blog/xyz-guide is cited in 18% of ChatGPT answers for a tracked prompt set.
• /pricing is never cited.
• Competitor X's comparison page is cited instead.
• These third-party sites are referenced more often than your own pages.

Some also show:

• Share of voice
• Sentiment
• Exact prompts that triggered citations
• Citation history over time
• Missing topics where competitors are cited instead. otterly.ai

One limitation

No tool can tell you every time ChatGPT "used" your page internally. That's because:

• Many models answer from training data without exposing sources.
• Responses are personalized and can vary by user and over time.
• Only some AI products provide explicit citations or web references.

These platforms therefore measure observable AI answers by repeatedly querying the assistants, rather than inspecting the models themselves. otterly.ai

My recommendations

• Small to mid-sized company: Otterly AI
• SEO-heavy organization: Ahrefs Brand Radar or Semrush AI Visibility
• Enterprise / dedicated GEO team: Profound
• If your main goal is "which URLs get cited and why": Peec AI or Otterly AI tend to focus heavily on page-level citation reporting. otterly.ai

If you're thinking beyond monitoring and want to build an internal dashboard, it's also possible to automate this yourself by maintaining a prompt library, querying multiple AI assistants on a schedule, extracting cited URLs, and storing the results in a database for reporting. Many companies end up doing this alongside a commercial tool for more customized tracking.

Yes. The category is usually called AI search visibility, LLM visibility tracking, Generative Engine Optimization (GEO) analytics, or AI answer monitoring. There are tools that try to show when your content appears in answers from ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini, etc., but the space is still evolving and no tool has perfect coverage because AI assistants don’t expose a universal “crawl log” of every answer.

Some tools to look at:

Typical capabilities:

• Prompt monitoring: “When someone asks ‘best CRM for small businesses,’ does my site appear?”
• Citation tracking: Which URLs from your domain are cited by AI answers?
• Competitor comparison: Are competitors being referenced more often?
• Engine coverage: ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews (varies by vendor).
• Share of voice: How often your brand/content appears versus others.

A few caveats:

• AI assistants do not work like Google’s index, so these tools usually simulate queries and record outputs rather than “crawl AI assistants.”
• Results can vary by location, account, personalization, model version, and time.
• If you specifically care about “which of our pages are being cited as sources”, look for tools with citation/URL-level reporting, not just brand mentions.

If you’re trying to measure this for a company website, the workflow is usually:

1. Build a list of 100–1,000 real customer questions.
2. Run them periodically through AI engines.
3. Track whether your URLs appear as citations.
4. Improve pages that are authoritative but not being surfaced.

For enterprise SEO teams, Profound and Scrunch AI are among the more directly focused options; for SEO teams already using a larger stack, Semrush or SE Ranking may fit better.

Yes. This category of tools is often called AI visibility, LLM SEO, or Generative Engine Optimization (GEO). They don't literally crawl AI assistants in the traditional web-crawler sense. Instead, they repeatedly query major AI models (ChatGPT, Gemini, Claude, Perplexity, etc.), analyze the responses, and identify:

• Whether your brand or website appears
• Which pages are cited or used as sources
• Which competitors are mentioned instead
• Which prompts trigger your content
• How your visibility changes over time

Some of the better-known platforms include:

If your goal is specifically:

"Which of our pages are being used as answers?"

Look for tools that provide:

• Citation detection
• URL-level attribution
• Prompt tracking
• AI search share of voice

A good report looks something like:

One limitation

Most AI assistants don't expose all of the internal documents or training data behind an answer. These tools can reliably tell you:

• when your page is directly cited,
• when it's linked,
• when your brand is mentioned,

but they generally cannot prove that a page influenced an answer if the model doesn't provide citations. That's a limitation of the AI platforms themselves, not the monitoring tools.

If you're looking for your own site's AI traffic

You can also combine these platforms with analytics to understand how AI assistants are interacting with your content:

• Referral traffic from AI products (when available)
• Server logs showing AI crawlers (e.g. OpenAI, Anthropic, Google, Perplexity)
• Search Console for traditional search performance
• AI crawler logs to see which pages are being fetched for indexing or retrieval

If you're an SEO team or publisher, using both an AI visibility platform and your own analytics provides the clearest picture of how your content is discovered, cited, and visited through AI assistants.

Yes. This is becoming a new category of SEO tooling, often called AI visibility, LLM monitoring, or Generative Engine Optimization (GEO). There isn't yet a perfect tool that tells you every time an AI uses your content, but several products get close by monitoring prompts, citations, and brand mentions across major AI assistants.

Some of the strongest options are:

If your specific question is:

"Which pages on our site are being used as answers?"

No tool can see every instance because ChatGPT, Claude, and Gemini generally don't expose their retrieval logs.

What these platforms typically do instead is:

• Run thousands of prompts relevant to your business.
• Record which URLs appear as citations or sources.
• Measure how often your domain is referenced.
• Compare your visibility against competitors.
• Track changes over time.

For example, they might report:

That gives you a practical view of which pages are actually influencing AI answers.

If you also want to know where AI bots are crawling your site

Use server logs or analytics to detect requests from bots such as:

• OpenAI (GPTBot, ChatGPT-User)
• Anthropic (ClaudeBot)
• Google (Google-Extended)
• Perplexity (PerplexityBot)
• ByteDance (Bytespider)
• Common Crawl (CCBot)

Many SEO platforms (or a log analysis tool like GoAccess, ClickHouse, or BigQuery) can show:

• which pages are crawled,
• crawl frequency,
• response codes,
• crawl trends over time.

The most complete setup

If you're serious about AI visibility, many teams combine:

• an AI visibility platform (such as Profound or Peec AI),
• server log analysis to monitor AI crawlers,
• web analytics to measure referral traffic from AI products,
• traditional SEO tools (Ahrefs or Semrush) for search performance.

That combination lets you answer both:

1. Which pages are AI systems crawling?
2. Which pages are actually showing up in AI-generated answers?

If you're looking for a solution for a business website rather than an enterprise brand, I can also recommend the best options by budget (free, under $100/month, or enterprise).

Yes. This is becoming a new category of "AI visibility" or "LLM SEO" tools. There are a few approaches depending on what you mean by "used as answers."

1. AI search visibility platforms (closest to what you're describing)

These monitor prompts across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, and others to see:

• Whether your brand or website appears in AI-generated answers
• Which pages are being cited
• Which competitors are cited instead
• How your visibility changes over time
• What prompts trigger your content

Examples include:

• Profound
• Goodie AI
• Peec AI
• AthenaHQ
• Hall
• Scrunch AI (more focused on optimizing websites for AI crawlers)

These don't literally crawl the assistants' internal knowledge. Instead, they generate thousands of prompts and record the responses, much like rank tracking for Google.

2. Citation tracking

Some tools specifically monitor:

• ChatGPT browsing citations
• Perplexity citations
• Google AI Overview citations
• Bing Copilot citations

They answer questions like:

"Which URLs from our domain are actually being referenced?"

This is especially useful because only a small percentage of your pages tend to get cited repeatedly.

3. AI crawler analytics

If your question is about AI bots visiting your site, you can monitor crawlers such as:

• GPTBot
• ChatGPT-User
• ClaudeBot
• Claude-SearchBot
• Google-Extended
• PerplexityBot
• Bytespider (ByteDance)
• Amazonbot

Traditional analytics often miss these, but log-analysis tools or CDNs like Cloudflare can identify them.

This tells you:

• Which pages AI crawlers fetch
• Crawl frequency
• Whether they're blocked
• Crawl efficiency

It does not tell you whether those pages were later used in an answer.

4. Build your own monitor

Many companies build an internal system that:

1. Maintains a library of important prompts.
2. Runs them daily against multiple AI assistants via APIs or browser automation.
3. Extracts:
   • brands mentioned
   • URLs cited
   • quoted passages
   • answer ranking
4. Stores results for historical comparison.

This gives much richer competitive intelligence than relying on a third-party dashboard.

The limitation

No AI company currently exposes a definitive API that says:

"This response was generated using page X from your website."

You can observe:

• explicit citations (when provided),
• mentions of your brand or content,
• and which prompts surface your pages,

but you generally cannot determine every source the model relied on internally.

If you're evaluating tools for a marketing or SEO team, I'd suggest looking first at Profound, Peec AI, and Goodie AI. Those are among the more established options for tracking how AI assistants surface and cite your content across different models.

Yes. This has become a new category of tooling, often called AI visibility, LLM SEO, or Generative Engine Optimization (GEO). The tools differ in what they measure:

1. Which pages AI crawlers visit (server logs)
2. Which pages AI models cite or use in answers
3. Which prompts your brand appears for
4. How competitors compare

Some of the strongest options are:

If your question is specifically:

"Which of our pages are actually being used by AI assistants?"

That's the hardest problem because models don't usually disclose their internal sources. The best tools infer this by:

• Running thousands of prompts across ChatGPT, Claude, Gemini, Perplexity, etc.
• Recording which URLs get cited
• Detecting recurring source pages
• Tracking changes over time
• Measuring share of voice against competitors

For example, they might tell you:

Prompt: "Best CRM for startups"

Your site appears in ChatGPT 41% of the time.

Most-cited pages:

• /crm/startups
• /pricing
• /compare/hubspot

If you want actual crawler activity

You can also inspect your web server logs for AI crawlers such as:

• GPTBot
• ChatGPT-User
• ClaudeBot
• Claude-SearchBot
• Google-Extended
• PerplexityBot
• Bytespider (TikTok)
• Amazonbot

This shows exactly which pages AI systems requested, although it doesn't prove those pages were used in generated answers.

Enterprise-level monitoring

Larger companies increasingly combine:

• server log analysis,
• prompt monitoring,
• citation tracking,
• AI search rankings,
• and brand mention analytics

to build dashboards similar to traditional SEO platforms, but focused on LLMs.

If you're looking for the closest equivalent to Google Search Console for AI assistants, Profound is widely regarded as one of the most comprehensive enterprise products, while Otterly.AI and Peec AI are popular choices for smaller teams and agencies.