ChatGPT answers, unedited

If you mean “which user queries/prompts caused an AI system to retrieve, cite, or use our content?”, you’re looking for AI search visibility / GEO (Generative Engine Optimization) analytics, not traditional web analytics. The market is still emerging, and no tool has perfect access to private ChatGPT/Claude internal query logs, but these are the closest options:

My shortlist by use case

If you want a “crawler activity feed” (who is reading us right now?):

1. Promptwatch
2. Citeme
3. WebDecoy

promptwatch.com

If you want “what prompts/questions lead AI users to mention us?”:

1. Citations.io
2. CueScout
3. QueryCat

citations.io

If you are an enterprise content/SEO team:

1. Oncrawl AI Search Lens
2. Promptwatch
3. Indexly

www.oncrawl.com

A key distinction: crawler logs ≠ queries. A GPTBot or ClaudeBot visit tells you that an AI system fetched a page, but usually not the exact user prompt that caused the retrieval. Tools that claim to show “queries” are often:

• monitoring known prompt sets they run themselves,
• inferring likely intent,
• or correlating citations with tracked AI searches. citations.iowww.citeme.io

For a mature setup, I’d combine:

1. Server/CDN log analytics (AI crawlers touching your content)
2. AI citation monitoring (where your URLs appear)
3. Prompt tracking (which buyer questions you win/lose)

If you tell me your stack (Cloudflare/AWS/Vercel, CMS, traffic size, B2B vs B2C), I can narrow this to the best 2–3 options.

Yes. The category you’re looking for is usually called AI search visibility / GEO / AEO analytics, but there’s an important distinction:

• Prompt-level analytics: “For which queries/prompts is our content being cited?”
• Crawler analytics: “Which AI bots actually crawled our site, what pages did they fetch, and when?”
• Citation analytics: “Which of our URLs appeared as sources in AI answers?”

If you specifically want a feed connecting AI queries → your cited URL/content, I’d shortlist these:

Best fits

1. otterly.ai — best straightforward option

Otterly tracks prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, and reports the citations associated with those prompts. Its latest citation tooling lets you drill from a cited URL into the specific prompts in which that URL was cited, including the AI engine and the resulting answer. Otterly Otterly

Best if: your requirement is essentially “show me which questions caused AI systems to cite our pages.”

2. scrunch.com — best citation/source analytics

Scrunch has particularly strong source-level reporting: prompt-level detail, top cited sources, citation trends, and analysis of exactly which pages are shaping AI answers. Scrunch

Best if: you want to understand not just whether you're cited, but which pieces of content are accumulating AI influence.

3. tryprofound.com — best enterprise candidate

Profound is aimed more at enterprise AI-search intelligence and goes deeper into AI visibility, citations and query monitoring. If you have a large content operation and want this feeding into broader marketing/SEO workflows, I'd put it on the evaluation list. Independent 2026 comparisons currently place Profound among the strongest enterprise options. xSeek DataDab

4. peec.ai — good for query intelligence

Peec focuses heavily on prompt research and AI-search monitoring. It's worth considering if your primary unit of analysis is the query/topic, rather than server-level crawler logs. DataDab

One important caveat

If by “AI crawler analytics feed” you literally mean:

AI crawler → requested URL → timestamp → user/query that ultimately triggered retrieval → AI answer → citation

that's a different and considerably harder problem.

Most AI visibility platforms infer the query-to-content relationship by running/monitoring prompts and observing citations. They generally don't have access to the internal retrieval logs of ChatGPT, Gemini, etc. Otterly explicitly describes its approach as analyzing the AI search platforms' outputs rather than relying on internal LLM telemetry. Otterly

So I'd separate the stack into:

Actual crawler telemetry
→ server/CDN logs showing AI bots fetching your pages

AI query telemetry
→ prompts being asked to ChatGPT/Perplexity/etc.

Citation attribution
→ prompt X → AI answer → your URL Y was cited

For your exact use case, Otterly is probably the first product I'd trial, with Scrunch and Profound as the next two comparisons.

If you tell me whether you're looking for (a) marketing/GEO analytics, (b) raw server-level AI crawler logs, or (c) a product/API that combines both, I can narrow this down considerably.

Yes. The category you’re looking for is AI search / AEO analytics, but there’s an important distinction:

• AI visibility tools tell you which prompts/queries produce answers that cite your content.
• AI crawler analytics tell you which AI agents actually visit your pages.
• The more interesting products increasingly connect the two, so you can see a path like query → AI answer → citation → page → crawler/fetch activity.

My shortlist

1. tryprofound.com — best for enterprise/deep analytics

This is probably the closest match if you want a serious analytics feed rather than just an SEO-style rank tracker. Profound combines AI-search visibility with Agent Analytics, including AI crawler activity and connections to downstream traffic/conversions. Current comparisons describe it as particularly strong for enterprise-level citation analytics. Profound Pressfit.ai

Best if: you want to answer “Which AI queries are driving citations and what happens afterward?”

2. otterly.ai — best practical option

Otterly has recently added Agent Analytics, which analyzes your server logs and identifies AI agents visiting your site. Importantly, it distinguishes on-demand fetchers such as ChatGPT-User, Claude-User and Perplexity-User from background indexing/training crawlers. That makes it useful for identifying visits that happened because an actual user asked an AI assistant something. Otterly AI Otterly AI

It also has Prompt Research, which identifies prompts/topics/intent patterns associated with AI-generated answers. Otterly

Best if: you want something relatively accessible that combines prompt monitoring + actual crawler/fetch analytics.

3. mentionflow.ai — most interesting for the exact “crawler → citation” question

This one caught my eye specifically for your wording. MentionFlow says it joins AI crawler requests to the pages that AI answers subsequently cite, allowing you to distinguish pages that are crawled and then cited from pages that are crawled but never cited. MentionFlow

That's much closer to an actual AI content intelligence feed than conventional AEO rank tracking.

Best if: your primary question is “AI crawled this URL—did that actually turn into a citation?”

4. scrunch.com — strong for prompt/citation monitoring

Scrunch gives you prompt-level detail and lets you see what gets cited in AI answers, alongside answer share and competitive visibility. Scrunch

Best if: your emphasis is query → answer → citation, rather than raw crawler telemetry.

5. citeme.io — worth looking at for a live feed

Citeme positions itself around a real-time AI-search analytics feed: it detects AI bot visits, classifies their intent, provides per-page analytics, and connects bot activity to citation performance. Citeme

Best if: you specifically want a live activity-feed experience rather than a periodic visibility report.

The distinction I'd use when evaluating vendors

If by “which queries lead to our content being used” you literally mean:

“Show me the actual user query that caused an AI system to retrieve/cite URL X.”

Be careful. Server logs generally cannot give you the user's prompt. They can tell you that an on-demand AI fetcher requested /article-x at a particular time. A prompt-monitoring system can separately tell you that a tracked query produced a citation of /article-x. Joining those datasets is the interesting part. Raw crawler logs are evidence of access, not necessarily evidence of the exact query that caused it. Tracemetry

So I'd prioritize vendors roughly like this:

If I were evaluating these for a content team, I'd demo Profound, MentionFlow, and Otterly first. The key demo question I'd ask each vendor is: “Take one of our URLs that was cited in ChatGPT yesterday. Show me the prompt, the answer, the citation, the crawler/fetch event, timestamp, and resulting human referral—without relying on manually entered test prompts.” That will expose very quickly how much of the claimed “AI analytics” is genuinely behavioral data versus simulated prompt monitoring.

If you mean “show me which AI queries/prompts caused ChatGPT, Perplexity, Gemini, etc. to discover, cite, or send traffic to our content”, you’re looking for GEO (Generative Engine Optimization) / AI visibility analytics tools. The market is still emerging, and different products measure different parts of the chain:

AI crawler → content retrieval → citation in answer → human referral

Here are the strongest options by use case:

My shortlist depending on your goal

You want a “real-time AI crawler log like Google Search Console for LLMs”

• Start with Citeme or WebDecoy. They focus on bot activity, pages accessed, and AI referral signals. webdecoy.comwww.citeme.io

You want “which questions did users ask AI that resulted in our content being cited?”

• Look at Surface Rank, Outcited, or Searchable. These are closer to prompt/query monitoring rather than just crawler logs. www.surfacerank.com

You need executive reporting (“AI generated $X pipeline from these citations”)

• CitationGraph is closest to an evidence/attribution layer because it joins crawler, citation, referral, and business outcome data. citationgraph.ai

One important caveat

No tool can reliably see the exact private user prompt behind every ChatGPT answer. Many tools infer queries from:

• tracked prompt sets you define,
• referral metadata,
• crawler behavior,
• AI answer monitoring,
• server logs,
• citation tracking.

So the ideal stack is usually:

1. Server/CDN logs → “Which AI agents crawled which pages?”
2. AI visibility tracker → “Which prompts produce citations?”
3. Analytics attribution → “Which AI referrals converted?”

For a B2B content site, I’d usually pair a crawler analytics tool (Citeme/WebDecoy) with a prompt visibility tracker (Surface Rank/Outcited/Searchable) rather than rely on one dashboard. www.citeme.io

If you share your stack (Cloudflare, GA4, HubSpot, WordPress, enterprise CMS, etc.) and whether you care more about crawl visibility, citations, or revenue attribution, I can narrow this to 2–3 choices.

Yes. The category you’re looking for is usually called AI search / AEO / GEO analytics, but there’s an important distinction:

• AI crawler analytics = which AI bots actually crawl your site, what pages they fetch, and how often.
• AI citation/prompt analytics = which user queries/prompts produced answers that cited your pages.
• The best platforms combine both.

My shortlist

1. Profound — my first choice if you literally want a crawler analytics feed.

Profound's Agent Analytics monitors AI crawlers directly from server/CDN logs, including which AI bots visit, when they visit, which pages they access, and what they reference. It can distinguish bot activity associated with indexing/training/citation and diagnose crawlability problems. www.tryprofound.com

It also has a separate Answer Engine Insights product that tracks real-world AI prompts, the resulting answers, and which sources are cited, so you can connect crawler behavior with AI-search visibility. www.tryprofound.com

Profound Agent Analytics

2. Scrunch — potentially the closest match to your wording.

Scrunch lets you drill from a cited URL back to the specific prompts that cited it. Its citation view includes unique prompts, total citations, citation frequency, platform, topic, and trends. scrunch.com

It also has Agent Traffic, which monitors AI bots crawling your website, and AI Referrals for measuring actual human traffic arriving from AI platforms. scrunch.com

So a workflow can look roughly like:

AI query → AI answer → your URL cited → page cited → AI crawler activity → resulting referral

That is unusually close to the "feed showing which queries lead to our content being used" you described.

Scrunch citation analytics

3. Peec AI — good if the primary stakeholder is SEO/marketing.

Peec tracks AI visibility across major engines and exposes the sources/citations behind tracked answers, including which URLs/domains are driving visibility. peec.ai

Peec AI

4. OtterlyAI — good budget-oriented alternative.

Otterly positions itself as an AI-search monitoring platform and currently tracks seven major AI search engines, including ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot, and Claude. otterly.ai

OtterlyAI

What I'd choose

If your requirement is specifically:

"Show me the AI queries where our content was actually used, which URL was used, which AI engine used it, and ideally whether that generated traffic."

I'd evaluate Scrunch and Profound side-by-side, with Scrunch slightly ahead for the query → citation → URL investigation and Profound ahead for actual AI crawler/server-log analytics. scrunch.comscrunch.compeec.aiotterly.aiwww.tryprofound.com

One caveat: no vendor can literally observe every private ChatGPT/Gemini/Claude query on the internet. These systems generally work by monitoring a defined prompt set and/or observing AI-agent traffic to your infrastructure. Scrunch, for example, explicitly describes citations in terms of tracked prompts. scrunch.com

If you tell me your CMS/hosting stack (e.g. Cloudflare, AWS, Vercel) and roughly how many pages/domains you have, I can narrow this to the 2–3 products that will actually give you the feed you want.

If you mean “I want to know which AI user queries caused ChatGPT/Claude/Perplexity/Gemini to use or cite our content”, you’re looking for AI visibility / GEO analytics, not just crawler logs.

A few tools worth evaluating:

A few important distinctions:

• Crawler analytics ≠ query analytics. A crawler log can tell you “GPTBot fetched /pricing” or “Perplexity requested this article,” but usually cannot reveal the exact user prompt that caused the fetch. www.surva.aidevelopers.cloudflare.com
• To get closer to “which queries led to our content being used,” you generally need AI citation monitoring / prompt tracking, which works by running tracked prompts against AI engines and measuring whether your pages appear as sources. www.surfacerank.com
• The strongest setup is usually a combination:
  1. Server-side crawler analytics → “Which AI systems are reading us?”
  2. AI citation/prompt tracking → “Which questions produce answers that mention us?”
  3. Analytics attribution → “Which AI platforms send humans to us?”

For an enterprise content team, I’d shortlist:

• Searchable or Citeme for a marketing dashboard.
• Ahrefs Bot Analytics + an AI visibility tracker if SEO is the center of gravity.
• Plumb/SearchSeal if you are a publisher or content business and want evidence of AI content consumption.

If you tell me your stack (WordPress, Webflow, Shopify, custom site, GA4, Cloudflare, etc.) and whether you care more about citations, traffic, or training crawls, I can narrow it down.

Yes. What you’re describing is a combination of AI crawler analytics + AI citation/prompt analytics. The distinction matters:

• Crawler analytics: Which AI bots are actually visiting your site, which pages they crawl, and how often.
• Citation/prompt analytics: Which AI queries/prompts result in your pages being cited or used as sources.
• Ideally, you want a product that connects the two.

My top recommendation: Profound

Profound is the closest match I found to your description. It has:

• Prompt-level tracking: see which prompts lead to citations of your content.
• Page-level citation analysis: identify which URLs are being cited and the prompts associated with them.
• Prompt-volume data: discover real AI queries people are asking, rather than relying entirely on keywords you invent.
• AI crawler/agent analytics: monitor AI crawler activity on your site, including bot traffic and crawl behavior.
• Integrations with CDN/server infrastructure, allowing it to connect crawler activity with downstream traffic. www.tryprofound.com

The particularly relevant feature is that Profound says you can search for a specific URL and see the prompts that cause AI engines to cite that page, including platform and volume information. www.tryprofound.com

Other good options

Peec AI — probably the strongest alternative if the emphasis is on understanding what AI is searching for. It tracks citations and has a particularly interesting Query Fanouts feature showing related/background searches that models perform while constructing an answer. It also has Agent Analytics/bot-traffic data and API/MCP access. peec.ai

OtterlyAI — good if you primarily want AI-search visibility and citation monitoring without going as deeply into infrastructure. It tracks prompts and citations across ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews/AI Mode, and others. otterly.ai One important caveat: it doesn't appear to provide the same AI-crawler/bot-log analytics that Profound does. www.tryprofound.com

How I'd choose

One caveat: these products generally cannot literally tell you that a particular human asked ChatGPT query X and then ChatGPT used your page. The prompt datasets and citation tracking are modeled/observed at the platform level, while crawler logs show bot activity. The most useful product is therefore one that correlates prompt → AI answer → cited URL → crawler activity → resulting web traffic.

If that's the exact analytics feed you're trying to build, I'd start by evaluating Profound first, particularly its Agent Analytics + Prompt Volumes + Answer Engine Insights combination. www.tryprofound.comwww.tryprofound.com

Yes. The category you want is increasingly called AI search / AEO / GEO analytics, but there are two different products hiding under that label:

1. AI crawler analytics — which AI bots are visiting your pages, what they fetch, and when.
2. AI citation/query analytics — which prompts or queries produce answers that cite/use your content.

If your goal is specifically “show me the queries that caused our content to be used”, I’d shortlist these:

My first choice: Profound

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

Its Agent Analytics monitors AI crawlers hitting your site, including which pages they access and whether that activity results in AI-driven traffic. Its citation product goes the other direction: it tracks which prompts generate AI answers that cite your pages, including citation performance by prompt and platform. www.tryprofound.com

The particularly interesting feature for your use case is query fanout: Profound can expose the underlying searches generated by AI systems while answering a tracked query. product.tryprofound.com

So you can get closer to:

User/AI query → underlying search queries → pages retrieved → pages cited → AI answer

rather than simply:

“ChatGPT crawled /blog/foo.”

Peec AI is probably the best alternative

Peec AI has a particularly strong combination of prompt tracking + source/citation analysis + crawler analytics.

Its Agent Analytics shows which AI bots crawl which URLs, while its search analytics associates prompts with the URLs/domains cited in resulting answers. It also has Query Fanouts, showing related/background searches that AI systems perform while constructing an answer. peec.ai

That makes Peec especially interesting if you're less interested in enterprise SEO tooling and more interested in an actual “what is AI doing with our content?” feed.

If you literally want a live crawler feed

Citeme is worth looking at. Its analytics product describes a live feed of AI crawler visits, classification of crawler intent, per-page breakdowns, and connections between crawler activity and citation performance. www.citeme.io

Searchable is another interesting option because it combines AI crawlers, AI referrals, landing pages, logs and citations. www.searchable.com

One important caveat

No crawler analytics product can generally tell you the exact human ChatGPT/Claude/Gemini question that caused an anonymous crawler request to your server. The HTTP request itself usually doesn't contain the user's natural-language prompt.

That's why the best products combine two datasets:

A. Server/CDN logs

AI bot → URL → timestamp → user agent → response

with

B. AI-answer monitoring

tracked prompt → AI answer → cited URLs → source page

The interesting product is the one that can correlate those datasets rather than merely showing bot traffic.

For your exact requirement, I'd demo Profound and Peec AI first. If you tell me whether you're looking for this for SEO/content marketing, a publisher/media site, or an analytics product you're building, I can narrow it down further—and identify which one actually exposes the closest thing to a real-time “AI query → page used” feed.

Yes. The category you’re looking for is AI crawler / AI search visibility analytics, but there’s an important distinction:

• Crawler analytics: tells you which AI bots crawled which pages, how often, and sometimes what happened afterward.
• AI citation / prompt analytics: tells you which queries/prompts produced answers that cited or used your content.
• The strongest products combine both.

My top recommendation: Profound

Profound is probably the closest match to what you described.

Its Agent Analytics monitors AI crawler activity, including which AI systems access your pages, while its Answer Engine Insights tracks the prompts/questions and shows which URLs are cited in AI-generated answers. www.tryprofound.comwww.tryprofound.com

The useful workflow is essentially:

AI query → AI answer → your URL cited/used → page that was cited → resulting AI traffic

Profound also says its prompt-tracking system captures AI responses and citation sources daily, and its Agent Analytics can connect crawler activity with AI-driven traffic. www.tryprofound.com

Why I'd shortlist it: if your actual question is “What questions are people asking AI, and when does our content become part of the answer?”, Profound currently has unusually broad coverage of both sides of that equation.

Peec AI — best if you care more about the query/citation side

Peec AI tracks prompts across ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and others, and reports the sources/citations used for those answers. peec.aipeec.ai

A particularly interesting feature is Query Fanouts: Peec exposes the background searches an AI system performs while answering a tracked question. That can get much closer to “what retrieval query caused my page to be surfaced?” than conventional AI-visibility tools. peec.aipeec.ai

I'd choose Peec if your primary dashboard is:

prompt → answer → citations → competitors → visibility over time

rather than server-level crawler telemetry.

A useful way to evaluate these tools

Ask each vendor whether they can show you this exact record:

One caveat: no vendor can generally give you a literal, complete feed of every real user query that caused an AI model to use your content. Much of that information is opaque to the model/provider. The products above combine tracked prompts, observed citations, crawler/server-log data, and—in Peec's case—some observable query fan-out data. peec.ai

If you tell me whether you're B2B SaaS, ecommerce, publisher/media, or another type of site, I can narrow this to the 3–5 products that actually fit your use case, including pricing and API/log-integration details.

If by “AI crawler analytics feed” you mean a dashboard that shows which AI systems are fetching your pages, what content they use, and ideally which user prompts/queries led to your content being cited, you’ll want to look at a newer category often called GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or AI visibility analytics.

A key distinction: crawler logs can show AI bots fetching your content, but they usually cannot reveal the exact user query that caused a model to retrieve it. Query-level attribution generally comes from AI visibility monitoring (tracking prompts and citations), while crawler analytics comes from server logs. ahrefs.comwww.ansehn.com

Here are the strongest options:

For “which queries led to our content being used?”, I’d prioritize tools in the AI visibility category:

• Surface Rank — closer to your stated goal because it monitors AI answers and the prompts that surface brands/content. www.surfacerank.com
• Enterprise SEO platforms adding AI visibility modules (for example, tools that track ChatGPT/Perplexity/Gemini mentions) — better if you already use SEO suites. Recent AEO tooling increasingly focuses on measuring citations and answer-engine presence rather than only crawl activity. www.techradar.com

A practical stack many content teams are moving toward:

1. Server/log layer: Zerply, Sona, Ansehn, or similar

→ “Which AI bots touched our content?”

2. AI answer monitoring: Surface Rank or an AEO platform

→ “Which prompts caused our brand/content to appear?”

3. Web analytics: GA4/Search Console

→ “Did AI citations produce human visits?”

If you tell me your setup (WordPress, Shopify, Webflow, custom app, enterprise site) and whether you need real-time feeds/API access vs a dashboard, I can narrow this to the best 2–3 choices.

Yes. The category you’re looking for is AI search / LLM citation analytics, but there’s an important distinction:

• Citation analytics tells you which prompts/queries produced AI answers that cited your content.
• Crawler analytics tells you which AI bots crawled which URLs.
• Referral analytics tells you which AI platforms actually sent visitors.

If your priority is specifically “show me the queries that resulted in our pages being used/cited”, I’d shortlist these:

1. Scrunch — probably your best match

Scrunch explicitly connects prompts → AI responses → cited URLs. You can drill into a particular URL and see which prompts cited that URL and how frequently, with filtering by AI platform, topic, persona, funnel stage, branded/non-branded prompts, etc. scrunch.com

For example, the useful feed you're describing could look conceptually like:

Query: “best enterprise payroll software”
Engine: ChatGPT
Your page: /enterprise-payroll-guide
Used as citation: Yes
Competitors cited: 3
Citation frequency: 18/30 responses

That's much closer to “what queries are causing our content to be consumed by AI?” than conventional bot analytics.

Scrunch's citation monitoring page

2. Profound — strongest enterprise alternative

Profound tracks citations across ChatGPT, Perplexity, Google AI Overviews and other answer engines, and lets you analyze citation share by platform, topic and prompt. www.tryprofound.com

I'd favor Profound if you have a large SEO/AEO team and want the citation data incorporated into a broader enterprise workflow.

Profound AI Citation Tracking

3. Searchable — best if “crawler feed” is literal

This is somewhat different. Searchable connects AI crawlers, pages, referrals and traffic, showing which AI systems are crawling particular pages and whether that activity eventually produces visitors. www.searchable.com

So if your desired dashboard is more like:

GPTBot → /pricing → 14 crawls → 3 AI referrals
ClaudeBot → /comparison → 42 crawls → 7 referrals

then Searchable is particularly interesting.

4. Citeme — worth looking at for the crawler side

Citeme combines AI crawler visits, bot intent, pages crawled and citations across AI systems. It specifically positions itself as an analytics layer for understanding which AI engines read your site and whether those visits translate into citations. www.citeme.io

The key caveat

No analytics product can generally tell you the actual private query that caused an AI crawler to request a URL.

For example, if GPTBot fetches:

/best-crm-software

your server log can tell you that GPTBot fetched that URL, but it normally cannot tell you:

“The user asked ChatGPT: What is the best CRM for a 500-person SaaS company?”

The citation-monitoring products solve this differently: they run/monitor known prompts against the AI engines, then record the resulting answer and citations. Scrunch, for example, explicitly records the prompts it is monitoring and the URLs cited in the resulting responses. scrunch.com

So if your requirement is:

“Give me a continuously updated feed of AI queries/prompts → which of our URLs were cited → which model cited them”

I'd start with Scrunch, then evaluate Profound.

If instead you mean:

“Give me a real-time log of AI crawlers hitting our site, the pages they're fetching, and eventually correlate that with AI referrals”

I'd start with Searchable or Citeme.

Best architecture may actually be to use both: crawler telemetry from your server/CDN + citation/prompt monitoring from Scrunch or Profound. That gives you what AI bots are requesting and what queries lead to your content actually appearing in AI answers.

Yes. If by “AI crawler analytics feed” you mean “show me which AI systems crawled my pages, which queries/prompts they were answering, and which of my URLs were ultimately cited/used”, there are a few tools that get quite close—but they solve slightly different parts of that problem.

My shortlist

The one I'd investigate first: Scrunch

Scrunch is unusually close to the “AI crawler → content → query/use → outcome” model you're describing.

Its citation system can drill down from a cited domain to the specific URL, then show which tracked prompts cited that URL and how often. It also records which URLs AI platforms cited when answering tracked prompts. scrunch.com

More importantly, its Agent Analytics side tracks the actual AI bots hitting your site—when they visit, how frequently, and what content they're accessing—and connects that with AI-driven traffic/conversion data. www.tryprofound.com

So you can get something conceptually like:

AI query: “best enterprise X platforms”
AI engine: ChatGPT
Your cited page: /guides/enterprise-x
Citations: 17
Crawler activity: GPTBot accessed page 42×
AI referral sessions: 83
Conversions: 6

That's much more actionable than a generic “AI visibility score.”

One important caveat

There are actually two different datasets people call “AI crawler analytics”:

1. Crawler/server data — Which AI bots physically accessed which pages?

This can come from logs/CDN analytics and tools such as Scrunch/Profound.

2. AI answer/citation data — Which prompts caused an AI engine to return my URL as a source?

Tools such as Scrunch, Ahrefs, Peec and Otterly monitor this by running/tracking prompts.

The first doesn't necessarily tell you the user's query. A crawler can fetch your page without you knowing the eventual question it will be used to answer. Conversely, prompt-monitoring tools can tell you the query and citation but aren't observing every real user query happening inside ChatGPT.

So if your requirement is specifically:

“Give me a feed of real-world AI queries that resulted in our content being retrieved/used, rather than a synthetic list of prompts we told the tool to monitor.”

I'd be much more careful about vendor claims. The underlying AI-user query data is generally not exposed to third parties, so many AEO products use tracked/generated prompts as a proxy. Recent industry testing also highlights this limitation. www.techradar.com

My ranking for your exact use case:

Scrunch > Profound > Ahrefs Brand Radar > Peec > Otterly

If you tell me whether you want (a) real crawler/server-log data, (b) AI citation/query data, or (c) both combined into a continuously updating feed/API, I can narrow this to the 2–3 products that actually meet the requirement and compare their APIs, pricing, and data granularity.

Yes. What you’re describing is a slightly more specific category than ordinary “AI visibility” software:

You want to connect the dots between (1) AI queries/prompts, (2) the AI system’s retrieval/citation of your URL, and ideally (3) the crawler/agent that accessed the URL.

The best options I’d shortlist are:

1. Profound — my first choice

Profound Agent Analytics is probably the closest match to your description.

It combines AI crawler telemetry with AI-search visibility. Its Agent Analytics shows which AI bots are accessing your pages, how frequently, and which pages they're interested in. It can also connect that activity to AI-driven human traffic. www.tryprofound.com

The important distinction is that crawler logs alone don't tell you the user's query. Profound's other data layer supplies prompt/AI-answer data, allowing you to get much closer to:

Query → AI engine → retrieved/cited URL → crawler activity → eventual referral

That is the sort of closed-loop system I'd want if you're trying to answer “What questions are causing our content to be consumed by AI?”

2. Scrunch — particularly interesting for query → URL

Scrunch is worth a serious look if your primary requirement is “show me the prompts that resulted in this particular page being cited.”

Its documentation explicitly says you can drill into a cited URL and see which prompts cite that URL and how frequently, then analyze the underlying AI responses. It also supports filtering by AI platform, topic, persona, funnel stage, and branded vs. non-branded prompts. scrunch.com

That's arguably the cleanest match to your wording.

3. Ahrefs Brand Radar — best if you're already an SEO/Ahrefs shop

Ahrefs Brand Radar has become surprisingly capable here.

Its AI Responses data lets you identify when your site was cited versus when your pages were found/retrieved but not cited. help.ahrefs.com

More importantly, Ahrefs now combines this with Bot Analytics: its Cited Pages report can show bot visits alongside citations and AI traffic, so you can investigate whether pages being crawled are actually turning into AI citations and traffic. ahrefs.com

It also lets you filter for things like:

unbranded query + your domain cited

which is extremely useful for discovering which non-brand questions are causing AI systems to use your content. ahrefs.com

4. OtterlyAI — good lighter-weight alternative

OtterlyAI now has Agent Analytics, which analyzes server logs and shows which AI agents/crawlers visit your site and which pages they access. help.otterly.ai

It's worth considering if you want the crawler side without jumping immediately to an enterprise platform.

One important caveat

I'd not buy a tool solely on the promise of an “AI crawler analytics feed.”

There are actually two different signals:

A. Crawler telemetry

GPTBot → /blog/foo

This tells you an AI crawler accessed /blog/foo, but not necessarily what query caused it.

B. AI search observation

"best X for Y" → ChatGPT → /blog/foo cited

This tells you the query and citation relationship, but it is generally based on monitored/sampled AI prompts rather than access to the AI company's private query logs.

The most useful product therefore combines the two. That's why I'd put Profound and Scrunch at the top of your evaluation list, with Ahrefs as a particularly strong alternative if you already use its SEO infrastructure.

My recommendation

If your requirement is specifically:

“Give me a continuously updated feed of the AI queries/questions where our URLs are being retrieved or cited, tell me which URL was used, and tell me which AI agent/crawler touched it.”

I'd trial Profound + Scrunch side-by-side first.

If you tell me roughly your site size (e.g. 100 / 10K / 1M pages), monthly traffic, and whether you're B2B or B2C, I can narrow this to the 2–3 products that are actually worth paying for.

If by “AI crawler analytics feed” you mean “show me which AI queries caused an AI system to retrieve/cite a specific page on our site”, there are a few products worth looking at—but Profound is the closest match I’d recommend.

1. Profound — best overall fit

Profound combines two datasets that are usually separate:

• Prompt/query intelligence: tracks the prompts people ask AI systems and shows which prompts produce citations to your content.
• Crawler intelligence: analyzes AI-bot activity against your actual site—what crawlers visited, which URLs they accessed, and how frequently.
• Citation attribution: identifies which pages are actually being referenced in AI-generated answers.
• Query fan-out analysis: particularly interesting for your use case: it models how a user prompt gets decomposed into underlying web-search queries that can lead to retrieval and citations. www.tryprofound.comhelp.tryprofound.com
• Traffic attribution: can connect AI citations to subsequent human visits/conversions through analytics integrations. www.tryprofound.com

So the conceptual feed you're looking for can look something like:

User query → AI/search retrieval → your URL crawled → URL cited → AI platform → human referral

That's substantially more useful than simply knowing “ChatGPTBot visited /blog/foo.”

My pick if this is for an enterprise content/SEO team.

2. Scrunch — very strong alternative

Scrunch has moved toward an AI-agent analytics model as well. Its Agent Traffic data shows which AI crawlers visit your site and which pages they hit, while its Citations data lets you drill down from cited URLs to the prompts associated with them. helpcenter.scrunchai.com

It also combines:

• tracked prompts
• citations
• AI search volume
• agent/bot traffic
• AI referrals
• page-level performance

Its Site Maps feature specifically puts Agent Traffic + Citations + AI Referrals together at the page level. helpcenter.scrunchai.com

I'd shortlist Scrunch alongside Profound, particularly if you want an operational dashboard around individual pages.

3. OtterlyAI — good for prompt/citation monitoring, weaker for crawler analytics

Otterly is good if the primary question is:

“For these 500 prompts, how often does ChatGPT/Perplexity/Gemini cite us?”

It tracks AI responses, citations, visibility, competitors, sentiment, and prompt-level performance. otterly.ai

But it is not my recommendation if crawler-level telemetry is a hard requirement. Compared with Profound/Scrunch, its core strength is AI-answer monitoring rather than infrastructure-level AI crawler intelligence.

What I'd buy

One important distinction: no tool can generally give you the literal private query entered by an individual ChatGPT user and prove that query caused a specific crawl. What these platforms can do is correlate tracked prompts/citation observations with crawler activity and page-level data. Profound is getting particularly close to the workflow you described by combining prompt data, citations, crawler telemetry, and query-fanout analysis. www.tryprofound.comhelp.tryprofound.com

If you tell me your stack (Cloudflare/Akamai/Vercel/etc.) and whether you want an API/event feed or a dashboard, I can narrow this to the 2–3 products that actually fit and compare their data models/pricing.

Yes. What you’re describing is a newer category usually called AI search / GEO analytics, but there’s an important distinction:

• Prompt analytics: “For which queries/prompts did an AI engine use or cite our content?”
• Crawler analytics: “Which AI bots actually fetched our pages, which pages, and when?”
• True query attribution: “A real user asked this exact query, and the AI crawler then fetched this page because of it.”

The third is the gold standard—but AI platforms generally do not expose users’ actual private queries, so vendors have to infer or approximate it. Otterly explicitly notes that ChatGPT and Perplexity don't publish real-user query data. help.otterly.ai

My shortlist

1. Scrunch — closest to what you're asking for

Scrunch is probably where I'd start.

Its Agent Traffic product connects to your CDN/hosting layer and identifies AI crawler activity in real time. It distinguishes retrieval bots—bots fetching content in response to current AI searches—from training and indexing bots. You can see the bot, timestamp, URL/path, and top pages being retrieved. scrunch.com

More importantly, Scrunch combines that with prompt-level citation data. You can go from a cited URL to the prompts in which it was cited and then inspect the actual AI answer. scrunch.com

So you could build a feed roughly like:

Query/prompt → AI engine → your URL retrieved → your URL cited/not cited → AI answer → human referral/conversion

That's unusually close to the workflow you're describing.

2. Peec AI — particularly interesting if you have an analytics/data team

Peec AI has two complementary pieces that make it interesting.

Its Agent Analytics connects to Cloudflare, Vercel, WordPress or uploaded logs and records which AI crawlers visit which URLs, including bot intent and crawl errors. peec.ai

Its AI-search analytics also distinguishes sources (URLs the AI accessed) from citations (URLs it actually exposed to the user). That's a very useful distinction: your content might be used to formulate an answer without receiving a visible citation. peec.ai

I'd seriously evaluate Peec if your definition of “used” includes retrieved but not necessarily cited.

3. Botify — strongest if you're already serious about server logs

Botify takes a more traditional enterprise-SEO approach.

It ingests your web-server logs and identifies bots such as GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot and PerplexityBot. Its AI Discovery reporting then combines bot behavior with search data. support.botify.com

Its AI Visibility product also lets you drill from a citation into the prompt and answer that cited the URL, including citation rate and citations by individual AI bot. support.botify.com

So Botify is particularly attractive if you want to combine:

Google crawling + AI crawling + GSC + server logs + AI citations

rather than buying a standalone GEO tracker.

4. Ahrefs Brand Radar — best for answering “which queries?”

Ahrefs has a somewhat different strength.

Brand Radar runs an enormous corpus of search-backed prompts through AI platforms and stores the resulting responses and citations. You can filter for things like:

query → response → citation contains your URL

and identify exactly which prompts produced citations to particular pages. ahrefs.com

It also now connects cited pages with AI bot visits and AI traffic, which makes it considerably more interesting for your use case than a conventional rank tracker. ahrefs.com

The catch: these are modeled/monitored prompts, not the actual private queries users typed into ChatGPT.

5. OtterlyAI — good lightweight alternative

OtterlyAI lets you monitor specific prompts daily across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Claude and Copilot. At the prompt level you can see the response and the URLs cited. help.otterly.ai

Its citation report can then answer:

“Which prompts cited this particular URL?”

That's useful, but it's more prompt monitoring than first-party crawler telemetry.

What I'd buy

If your requirement is specifically:

“Give me a continuously updated feed showing what AI is asking about, what of our content it retrieves, what it cites, and ideally what happens afterward.”

I'd evaluate Scrunch and Peec AI first, then Botify if you're an enterprise SEO organization.

I'd actually consider a Scrunch + Ahrefs combination if budget permits:

Scrunch
→ actual AI-agent/crawler activity
→ pages fetched
→ retrieval vs. training/indexing
→ citations
→ AI referrals/conversions

Ahrefs
→ enormous query/prompt universe
→ competitive visibility
→ which queries/topics produce citations
→ historical AI visibility

That gives you both “what AI is actually doing to our site” and “what AI answers are saying about us.”

One caveat I'd put in bold for whoever evaluates vendors: don't let a vendor call an inferred prompt an “actual query.” The industry still can't generally see the private query that caused ChatGPT/Gemini/etc. to retrieve a URL. The most defensible architecture is to treat retrieval-bot logs as first-party evidence, and prompt/citation monitoring as a separate observational dataset. scrunch.comhelp.otterly.ai

If you tell me whether you're B2B SaaS, ecommerce, publisher/media, or another type of site, I can narrow this to the 2–3 products I'd actually demo and give you a feature-by-feature comparison including APIs, log/CDN integrations, query attribution, pricing, and alerting.

If you mean “which AI/search queries caused an AI system to use or cite our content?”, you’re looking for AI visibility / GEO (Generative Engine Optimization) analytics, not traditional crawler logs. The best tools generally combine:

• Prompt → AI answer tracking (which user-like queries trigger your appearance)
• Citation tracking (which URLs are used as sources)
• Model coverage (ChatGPT, Gemini, Perplexity, Claude, AI Overviews, etc.)
• Crawler analytics (which AI bots fetch your pages)

A shortlist:

For your exact requirement — “show me the queries that lead to our content being used” — I would prioritize:

1. DemandSphere API if you want to pipe the data into your own BI/dashboard. www.demandsphere.com
2. Profound if you want a mature enterprise dashboard.
3. Vizara or OpenSight if you specifically care about the intersection of AI crawlers + citations. vizara.aiwww.opensight.dev

One important distinction: most platforms do not see the private user query that a person typed into ChatGPT. They usually infer this by running tracked prompts themselves and recording the resulting citations. For actual “who asked what and then visited our page,” you usually need a combination of AI referral analytics, server/CDN logs, and citation tracking. www.reddit.com

If you tell me your stack (WordPress/content site, SaaS docs, ecommerce, publisher, etc.) and whether you need real crawler logs vs. simulated prompt tracking, I can narrow this to 2–3 options.

If by “AI crawler analytics feed” you mean “show me which AI/search questions caused an AI system to discover, retrieve, or cite our pages”, there’s an important distinction: no third-party tool can generally see the private, actual user query inside ChatGPT/Claude that caused a crawl. The best products reconstruct this by running tracked prompts and correlating them with pages found/cited, while crawler-log products show the actual AI bot activity on your server.

My shortlist

1. Ahrefs Brand Radar — probably my first choice

Ahrefs Brand Radar

This is unusually close to what you're describing. Brand Radar tracks AI responses against search-backed prompts, identifies the pages that were found vs. actually cited, and now connects cited pages with AI bot visits and AI traffic. help.ahrefs.comahrefs.com

The particularly useful distinction is:

Prompt → AI response → page found → page cited → AI referral traffic

Ahrefs explicitly records pages that AI retrieved but didn't cite, as well as pages it actually cited. help.ahrefs.com

It also supports your own custom prompts, checked daily/weekly/monthly across ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Copilot, etc. help.ahrefs.com

I'd choose this if you're already using Ahrefs.

2. CitationGraph — most interesting if you specifically want crawler evidence

CitationGraph

This one is worth looking at if your requirement is more technical:

AI crawler → page → citation → referral → business outcome

CitationGraph says it combines AI crawler activity, citation evidence, AI referrals, GSC, GA4 and Shopify. It specifically captures server-side evidence of AI crawlers and links that to citation evidence. citationgraph.aiahrefs.com

That's closer to an actual AI observability feed than a conventional “AI SEO score.”

3. OtterlyAI — best for seeing prompt-level results

OtterlyAI

Its Prompt Detail Analysis gives you:

specific prompt → AI response → citations/URLs → competitors → changes over time

The citations tab shows the URLs used as sources, while the response tab lets you inspect the actual AI response. help.otterly.ai

I'd favor this if your marketing team thinks in terms of “Which questions are we winning?” rather than raw crawler telemetry.

4. Semrush AI Visibility Toolkit

Semrush AI Visibility Toolkit

A strong choice if you're already heavily invested in Semrush. It reports mentions, cited pages, citations, LLM distribution, and visibility trends. www.semrush.com

Semrush also makes an important point that I'd incorporate into your measurement model: being cited doesn't necessarily mean you're the brand being recommended. Their own analysis found cases where their content was cited extensively while competitors were still being recommended. www.semrush.com

5. WhiteRank — interesting for the crawler side

WhiteRank

WhiteRank explicitly advertises AI Bot Analytics, including which AI crawlers visit pages and what they index, alongside its citation/visibility tracking. whiterank.io

I'd look at this if server-side crawler activity is as important to you as the AI-answer side.

What I'd actually build your dashboard around

If this is for a serious content operation, I'd want the feed to look something like:

AI QUERY
"best software for X"

        ↓

AI ENGINE
ChatGPT

        ↓

DISCOVERY
GPTBot / retrieval

        ↓

YOUR CONTENT
/docs/example-page

        ↓

AI USAGE
Found ✓
Cited ✓
Citation position: #2

        ↓

OUTCOME
AI referral: 17 visits
Conversions: 3

And then aggregate it into:

• Queries where our pages were cited
• Queries where our pages were retrieved but not cited
• Queries where competitors were cited instead
• Which URLs get cited most
• Which AI engines crawl/cite us
• Crawler visits → citations
• Citations → AI referral traffic
• AI referral traffic → conversions

For that exact use case, I'd test Ahrefs Brand Radar and CitationGraph first. Ahrefs looks stronger for the query/prompt intelligence side; CitationGraph looks more interesting for the actual crawler/evidence/analytics pipeline side. citationgraph.aiahrefs.com

One caveat: don't interpret crawler logs as proof of the query that caused the crawl. A bot request to /guide/foo tells you an AI system fetched the page, but generally not “user asked ChatGPT X and therefore it fetched /guide/foo.” Prompt-based tools infer/measure that relationship by running and storing AI queries and responses. Ahrefs, for example, explicitly distinguishes pages merely found from pages actually cited. help.ahrefs.com

If you tell me whether you're a publisher/content site, SaaS company, ecommerce site, or agency, I can narrow this to the 2–3 tools that actually fit your stack and budget.

If you're looking specifically for "which user queries/prompts caused an AI system to use or cite our content?", the important limitation is:

No major AI platform (ChatGPT, Gemini, Claude, Perplexity, Copilot) exposes the original user prompts that resulted in your content being cited or linked. Today, no analytics product can reliably tell you the exact prompt a real user entered before your content was used. www.reddit.comfoglift.io

Instead, vendors infer demand from combinations of:

• AI crawler activity
• AI referral traffic
• Citation monitoring
• Large-scale prompt testing (asking thousands of synthetic prompts)

The best options are:

1. Profound (my top recommendation)

Best if your goal is:

• "What questions are people asking AI?"
• "Which prompts mention my competitors?"
• "Where does my brand appear?"
• "Which pages should I optimize?"

It continuously runs thousands of representative prompts against major AI assistants and tracks:

• brand mentions
• citations
• competitors
• prompt coverage
• changes over time

It does not reveal real user prompts—it measures visibility across a representative prompt set.

2. Peec AI

One of the strongest products focused on AI search optimization.

It provides:

• prompt tracking
• citation monitoring
• AI search rankings
• competitor comparisons
• prompt clusters by topic

Good if your marketing team wants an "AI Search Console."

3. Otterly AI

A lighter-weight option focused on:

• monitoring prompt sets
• tracking citations
• alerts when visibility changes
• historical rankings

Well suited to smaller marketing teams.

4. Scrunch AI

Enterprise-oriented.

Strengths include:

• AI discoverability audits
• structured data recommendations
• citation monitoring
• governance and reporting

Popular among larger publishers and SaaS companies.

5. Searchable

Interesting because it combines AI visibility with first-party analytics.

It tracks:

• AI crawler visits
• referral traffic from ChatGPT, Claude, Gemini, Perplexity, and Copilot
• landing pages
• crawl-to-visit conversion

It can tell you which pages AI systems are driving traffic to, but not the original user prompt. www.searchable.comcleotic.ai

6. Foglift Tracker

Focused on first-party telemetry.

It records:

• AI crawler requests
• AI referrals
• landing pages
• which AI engine generated the referral

Its documentation explicitly notes that the landing page can help you infer user intent, but the original prompt remains unavailable. www.reddit.comfoglift.io

What is currently impossible

No software can reliably provide a feed like:

User prompt:
"best payroll software for nonprofits"

↓
ChatGPT used:
yourdomain.com/payroll-guide

↓
User clicked

AI providers do not expose those prompts to publishers, and referral data generally contains only the referring service (if anything), not the conversation itself. www.reddit.comfoglift.io

Closest approximation

The most advanced teams combine three data sources:

1. Prompt monitoring (Profound, Peec AI, Otterly AI) to discover which prompt categories cite you.
2. Crawler analytics (Searchable, Foglift, Cleotic) to see which pages AI systems are indexing and revisiting. www.searchable.comcleotic.ai
3. Referral analytics (GA4 or server logs) to identify which landing pages receive traffic from AI assistants.

From those signals, you can often infer that, for example, a page about "SOC 2 pricing" is being surfaced for related prompts, even though you cannot see the exact wording users entered.

For most companies investing seriously in AI search optimization today, Profound is considered the leading platform for prompt-level visibility, while Searchable or Foglift Tracker provide the strongest first-party evidence of AI crawls and referral traffic. Together, they offer the closest available approximation to an "AI query analytics feed."

If your goal is specifically "show me the prompts/questions in ChatGPT, Perplexity, Claude, Gemini, etc. that resulted in my content being used or cited," the market is still immature.

Today, products generally fall into three categories:

1. Profound (Best for enterprise brands)

This is probably the closest to what you're asking.

It monitors:

• prompts people ask AI systems
• whether your brand appears
• which sources AI cites
• competitor visibility
• changes over time

Instead of only saying "GPTBot crawled page X", it tells you things like:

"For the query 'best CRM for healthcare', ChatGPT cites your guide 18% of the time."

Best for:

• large content sites
• SaaS
• enterprise SEO
• GEO (Generative Engine Optimization)

2. Goodie AI

Focused almost entirely on AI search visibility.

Tracks:

• prompts
• citation share
• competitors
• recommendation frequency
• source pages

Useful if your marketing team wants dashboards similar to SEO rank tracking—but for AI assistants.

3. Peec AI

One of the newer GEO platforms.

Provides:

• tracked prompts
• AI rankings
• citation monitoring
• competitor comparisons

Good if you're replacing traditional keyword rank tracking with AI visibility tracking.

4. Scrunch AI

Designed around AI discoverability.

Features include:

• prompt monitoring
• citation tracking
• optimization recommendations
• AI-ready content audits

5. Ahrefs Web Analytics + Bot Analytics

Excellent for understanding how AI systems interact with your site, but it does not recover the actual user prompts that triggered crawls or citations.

It provides:

• GPTBot
• ClaudeBot
• PerplexityBot
• Google-Extended
• AI crawler analytics
• AI referral traffic
• server-log based insights

Ahrefs has also published large-scale research on AI crawler behavior and AI referral traffic. ahrefs.com

6. Cleotic

One of the better specialized AI analytics platforms.

It tracks:

• AI crawler visits
• AI referral traffic
• chatbot referrals
• crawler verification
• pages crawled

Its documentation distinguishes AI crawler activity from actual human visitors arriving via AI chatbot citations. cleotic.ai

7. Flowcourier

More infrastructure-focused.

Tracks:

• 150+ AI crawler user agents
• training crawlers
• live assistant fetches
• verification
• bot analytics

It's aimed more at technical SEO and engineering teams than marketers. flowcourier.com

Important limitation

No software can directly see every real ChatGPT or Claude user prompt that resulted in your content being used. AI providers generally do not expose that data publicly.

Current products infer or measure this using combinations of:

• large prompt libraries they continuously test
• synthetic benchmark queries
• AI citation monitoring
• referral analytics
• server logs
• crawler logs
• share-of-voice modeling

So when a platform says "Top AI queries," it's usually reporting tracked or estimated prompts, not every actual user query.

If I were choosing today

• Best overall for AI query intelligence: Profound
• Best for AI SEO/GEO teams: Peec AI
• Best enterprise marketing platform: Goodie AI
• Best crawler analytics: Ahrefs Web Analytics + Bot Analytics
• Best lightweight AI crawler/referral analytics: Cleotic
• Best engineering-focused bot visibility: Flowcourier

If your primary objective is to answer, "Which AI prompts are leading to my brand being cited, and which pages win those citations?" then a GEO platform such as Profound, Goodie AI, or Peec AI will generally be a better fit than traditional crawler analytics, which focus on bot activity rather than prompt-level visibility.

The key distinction is this:

• AI crawler/referral analytics: Shows which AI systems crawl your content and which send visitors.
• Prompt/query analytics: Shows the actual user prompts that caused your content to be selected.

Today, no tool can reliably show the exact ChatGPT, Claude, Gemini, or Perplexity prompts that led to your content being used, because those platforms generally do not expose user queries to publishers. Any vendor claiming complete prompt visibility is overstating what's technically possible. The best tools infer likely intents from landing pages, monitor sampled prompts, or detect citation events. www.reddit.com

Here are the strongest options:

1. Searchable (closest to what you're asking)

urlSearchableturn0search0

Pros:

• Tracks GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.
• Connects crawler activity with AI referral traffic.
• Shows which pages AI systems crawl most.
• Measures visits from ChatGPT, Gemini, Claude, Copilot, and Perplexity.
• Includes prompt monitoring to see whether your brand/content appears for tracked prompts (rather than revealing real user prompts). www.searchable.com

Best for:

• B2B SaaS
• Content marketing
• AI SEO

2. Profound

Profound

One of the leaders in enterprise AI visibility.

It continuously asks AI systems thousands of prompts and tracks:

• whether you're cited
• competitors cited
• citation frequency
• changes over time
• prompt categories

This is simulated prompt monitoring, not actual customer conversations.

Good for brands with large content libraries.

3. Peec AI

Peec AI

Strong if your goal is:

• "What questions mention my company?"
• "Which prompts mention competitors?"
• "Where am I missing citations?"

More focused on GEO (Generative Engine Optimization) than crawler logs.

4. Otterly AI

Otterly AI

Tracks:

• prompts you care about
• citations
• AI rankings
• competitor visibility

Useful if you're optimizing content around high-value commercial questions.

5. Ahrefs Brand Radar

Ahrefs

Good if you already use Ahrefs.

It monitors:

• AI brand mentions
• visibility
• AI citation trends
• competitive comparisons

Less detailed on crawler analytics than dedicated AI platforms. www.techradar.com

6. Semrush AI Visibility Toolkit

Semrush

Tracks:

• AI Overviews
• AI citations
• monitored prompts
• competitor comparisons

Strong if your AI strategy is closely tied to traditional SEO. www.techradar.com

7. Server-log analytics (most accurate)

If you use:

• Cloudflare
• Fastly
• Akamai
• AWS CloudFront

you can analyze:

• GPTBot
• ChatGPT-User
• ClaudeBot
• Claude-User
• PerplexityBot
• Perplexity-User

This provides the most reliable first-party evidence of AI crawls and live retrievals, though it still cannot reveal the user's original prompt. www.reddit.com

My recommendations by use case

• Best overall: Searchable
• Best enterprise AI visibility: Profound
• Best for AI SEO/GEO: Peec AI
• Best if you already use Semrush: Semrush AI Visibility
• Best if you already use Ahrefs: Ahrefs Brand Radar
• Best technical signal: Cloudflare/server-log analysis

If your goal is specifically "Which questions caused ChatGPT or Perplexity to use my content?", the closest current workflow is to combine:

1. a prompt-monitoring platform such as Profound or Peec AI,
2. crawler/referral analytics (Searchable or server logs), and
3. GA4 AI referral tracking.

That combination provides a high-confidence view of which monitored queries you're winning, where AI systems are consuming your content, and which citations are driving measurable traffic—even though the exact prompts from individual users remain unavailable.

If your specific goal is "show me the prompts/queries where ChatGPT, Perplexity, Gemini, etc. are using or citing our content", the market is still immature. No vendor has complete visibility into every LLM's internal queries. Most tools combine three data sources:

1. AI crawler activity (GPTBot, ClaudeBot, PerplexityBot, etc.)
2. Scheduled prompt testing across AI engines
3. Referral traffic from AI products

The strongest options are:

1. GeoItIs (closest to what you described)

This is probably the closest match to your request.

It reports things like:

• prompts where your brand appears
• prompts where competitors appear instead
• which URLs were cited
• crawler evidence
• AI visibility over time

Example insight:

"For 'best CRM for startups', ChatGPT cited your pricing page."

It also tells you when your brand is completely absent from important prompts. www.geoitis.com

2. Klerun

Klerun combines several useful layers:

• live AI prompt monitoring
• crawler analytics
• citation tracking
• hallucination detection
• share of voice
• competitor comparisons

It's one of the few products attempting to connect crawling with eventual AI answers rather than treating them as separate datasets. klerun.com

3. Surface Rank

Good if you care about AI search traffic attribution.

Features include:

• AI answer monitoring
• AI referral analytics
• crawler attribution
• which engines send traffic
• citability scoring

Useful for measuring business impact after you've improved content. www.surfacerank.com

4. Semrush AI Visibility

If you're already using Semrush, their AI Visibility toolkit tracks:

• prompts
• AI mentions
• competitor visibility
• citation frequency
• recommendations for improving AI visibility

It's less focused on crawler logs than newer AI-native tools. www.techradar.com

5. Ahrefs Bot Analytics + Brand Radar

Ahrefs recently added Bot Analytics that tracks:

• GPTBot
• ClaudeBot
• PerplexityBot
• Google AI bots

Its strength is excellent server-side bot analytics. Pairing it with Brand Radar gives you reasonable visibility into AI mentions, although it doesn't reconstruct every underlying user prompt. ahrefs.com

What no product can reliably tell you yet

No software—not even enterprise offerings—can provide a complete feed of:

"Here are every real ChatGPT user query that caused your page to be used."

That information is generally not exposed by OpenAI, Anthropic, Google, or Perplexity. Vendors instead infer usage by:

• continuously testing thousands of representative prompts,
• recording citations,
• detecting brand mentions,
• monitoring crawler activity,
• measuring AI referral traffic.

Think of it as "search rank tracking for LLMs" rather than access to the models' internal query logs. Industry practitioners consistently note this visibility gap. www.reddit.com

My shortlist by use case

• Best overall for prompt-level AI visibility: GeoItIs
• Best all-in-one AI crawler + citation analytics: Klerun
• Best for agencies: Surface Rank
• Best if you're already invested in SEO tooling: Semrush AI Visibility
• Best technical crawler analytics: Ahrefs Bot Analytics
• Publisher-focused: Plumb or Surva AI for deep AI crawler intelligence rather than prompt tracking. www.plumbtrace.com

If you're looking for an equivalent of Google Search Console, but for ChatGPT/Claude/Gemini, the closest current combination is:

• prompt monitoring (GeoItIs or Klerun),
• server-side AI crawler analytics (Ahrefs Bot Analytics or Surva AI),
• AI referral tracking in GA4 or another analytics platform. This provides the most complete picture currently available.

If your goal is specifically "show me which AI queries caused my content to be retrieved, cited, or used", the market is still immature. No vendor can reliably tell you every real user prompt inside ChatGPT, Claude, Gemini, or Perplexity because those providers generally don't expose that data. Any company claiming complete visibility is overstating what's technically possible. www.reddit.com

That said, several platforms get close using different approaches.

1. Surface Rank

Best if you want an "AI search console."

It monitors your visibility across ChatGPT, Perplexity, Gemini, Claude and AI Overviews and reports:

• prompts it monitors
• whether you're cited
• competitors appearing instead
• AI referral traffic
• crawler activity

It focuses on attribution and AI search visibility rather than traditional SEO. www.surfacerank.com

2. Profound

Probably the strongest enterprise platform today.

Features include:

• millions of monitored prompts
• brand mention tracking
• competitor comparisons
• citation frequency
• prompt clustering
• AI share-of-voice

Large brands like financial services and ecommerce companies are increasingly adopting it for GEO programs.

3. Peec AI

A lighter-weight alternative.

It lets you:

• define important prompts
• monitor rankings across LLMs
• see citation changes
• receive alerts when visibility changes

Good if you're primarily interested in "Which questions do we win?"

4. Otterly.AI

One of the simpler tools.

It periodically asks major LLMs your chosen questions and records:

• citations
• ranking
• answer changes
• competitors

This is useful for ongoing monitoring but represents sampled prompts rather than actual end-user conversations.

5. Ahrefs Brand Radar

If you're already an Ahrefs customer, Brand Radar is one of the stronger additions.

It provides:

• AI visibility
• AI keyword opportunities
• competitor comparisons
• brand mentions

It integrates naturally with existing SEO workflows. www.techradar.com

6. Searchable

More analytics-focused than ranking-focused.

It combines:

• AI referrals
• crawler logs
• landing pages
• which LLMs send traffic
• crawl vs. referral comparisons

This helps answer:

"OpenAI crawled these pages heavily, but only these pages actually generated visits."

www.searchable.com

7. Build your own (often the most accurate)

Many advanced teams combine:

• Cloudflare or Fastly logs
• GA4
• server logs
• BigQuery
• a prompt-monitoring tool

This gives three separate signals:

1. AI crawlers visited your content.
2. Live retrieval agents fetched your pages for answering.
3. Users clicked through from AI citations.

No single commercial dashboard currently captures all three perfectly. www.reddit.com

Can any tool show the exact real user query?

Usually no.

What vendors can provide falls into three categories:

• Monitored prompts: They run thousands of representative prompts and show whether you're cited.
• Referral analytics: They show when users arrive from ChatGPT, Perplexity, Gemini, etc.
• Crawler/retrieval logs: They show which pages AI systems accessed.

The missing piece is the exact prompt that a real ChatGPT or Claude user typed. AI providers generally do not expose that information to publishers. www.reddit.com

Recommendation by company size

• Startup / SMB: Surface Rank or Peec AI.
• Mid-market SaaS: Searchable plus Ahrefs Brand Radar.
• Enterprise: Profound plus your CDN/server logs for crawler telemetry.

That combination provides the best available approximation of "which AI questions are leading to our content being selected," while acknowledging the current limitations of AI platform telemetry.