ChatGPT answers, unedited

Yes. There’s now a fairly established category for this: AI visibility / LLM visibility / GEO (Generative Engine Optimization) monitoring.

These platforms generally run a fixed set of customer-style prompts against multiple AI assistants, save the actual answers, and detect:

• whether your brand was mentioned
• where in the answer it appeared
• whether your site was cited/linked
• which competitors were mentioned instead
• which third-party sources the model relied on
• how those metrics change over time

A few current options:

• ahrefs.com — tracks visibility across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews; particularly interesting if you already use Ahrefs.
• searchprism.io — explicitly stores the full answers from ChatGPT, Claude, Gemini and Perplexity and counts brand mentions/citations over repeated runs.
• mentionscout.com — covers ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews and AI Mode, with citation/source analysis.
• openlens.com — monitors seven AI platforms, including ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek.
• rank.ai — focuses on recurring prompt checks and trends in whether models mention/cite your brand.
• citeprism.com — tracks mentions, recommendations, competitors and trusted sources across several AI assistants and Google AI surfaces.

The important distinction is that most of these aren't literally “crawling all AI assistant conversations.” They typically generate their own representative prompts and query the assistants on a schedule. That's necessary because private ChatGPT/Claude conversations aren't publicly crawlable. Some products also monitor publicly observable AI-search surfaces.

If what you're envisioning is “give me our brand + competitors, and continuously tell me every time an AI answer mentions us, exactly what it said, what source it quoted, and which model said it”, then yes—that product category exists, and several tools are already quite close to that exact workflow. searchprism.io mentionscout.com citeprism.com

If you're asking because you're considering building something in this space, there are some interesting gaps between these products that would be worth unpacking.

Yes. This category is emerging and is usually called AI visibility tracking, LLM visibility monitoring, AI search optimization (AIO), or generative engine optimization (GEO). These platforms don't literally crawl every private AI conversation (they generally can't access user chats), but they run controlled prompts against public AI assistants/APIs, capture the answers, and measure when/where brands appear. CitePrism Sightivo

Some platforms in this space:

Typical metrics these tools provide:

• Mention rate — “Out of 500 tracked prompts, how often does AI mention our brand?”
• Share of voice — “How often are we mentioned versus competitors?”
• Position/order — “Are we the first recommendation or buried later?”
• Citation share — “Which websites/pages does AI rely on when discussing our category?”
• Prompt-level monitoring — “For ‘best CRM for startups’ or ‘alternatives to X,’ where do we appear?”
• Sentiment/context — “Is the model recommending us, criticizing us, or just mentioning us?”

A few caveats:

• They are usually sampling systems, not comprehensive crawlers of all AI answers. AI assistants produce different outputs depending on prompts, timing, user context, model version, and whether browsing is enabled.
• The strongest products tend to store the actual answer text so teams can audit why a brand appeared or disappeared, rather than only showing a score. CitePrism Prism
• If your goal is SEO/GEO work, look for tools that track the sources AI cites, not just whether your brand name appears. That tells you what content is influencing the models.

If you're evaluating this for a brand/marketing team, the shortlist I'd compare would be: CitePrism, Zumi, Surva.ai, MentionsFlow, and PromptMention. Mentions Flow CitePrism Zumi Surva.ai

Yes. This is now a real category, usually called AI visibility, LLM visibility, AEO (Answer Engine Optimization), or GEO (Generative Engine Optimization).

The important distinction is that the better platforms don't merely “crawl” existing answers. They run the same buyer prompts across multiple AI assistants, store the responses, and analyze brand mentions, position, citations, sentiment, and competitors.

A few worth looking at:

• tryprofound.com — one of the better-known enterprise players in AI visibility/GEO.
• ahrefs.com — useful if you already use Ahrefs; checks ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews.
• demandsphere.com — more enterprise/analytics-oriented; tracks mentions, citations, sentiment and competitive positioning across 10+ AI engines.
• searchscope.io — tracks answers across six assistants and keeps the actual answers, competitors and citations.
• llmvisibility.tech — specifically tracks ChatGPT, Gemini, Google AI Mode and Perplexity, including share of voice and sources.
• rank.ai — tracks ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews.
• mentionscout.com — particularly interesting if you want both AI-answer monitoring and monitoring of places like Reddit/Hacker News that feed those answers.

What I'd want the platform to show

If your goal is “where is our brand being quoted/recommended by AI?”, I'd prioritize a tool that gives you this at the individual-answer level:

Prompt: “What are the best [category] companies for a mid-market business?”
Model: ChatGPT
Brand: Acme
Mentioned: Yes
Position: #2
Sentiment: Positive
Citation: example.com/customer-guide
Competitors mentioned: X, Y, Z
Date: Sept. 14, 2026

Then aggregate that into:

• Mention rate — % of relevant AI answers mentioning you
• Share of voice — your mentions vs. competitors
• Recommendation position — first/second/etc.
• Citation rate — how often your actual site/content gets cited
• Which URLs get cited
• Which third-party sites are influencing the answer
• Which competitors appear when you don't
• How this changes by model — ChatGPT vs. Claude vs. Gemini vs. Perplexity
• Historical answer archive — crucial because AI answers change

That last point is important: AI visibility isn't really conventional “rank tracking.” There isn't necessarily a position #1. The useful unit is the answer itself. Some newer platforms explicitly frame it this way. Scout LLM Chatobserver

And there's a particularly interesting opportunity here: some platforms are starting to tell you not just that you were mentioned, but which external sources caused the AI to mention you. That's potentially much more actionable for PR/content/SEO teams. getmentions.ai demandsphere.com

If you're asking because you're considering building a product in this space, I can also break down what these platforms actually crawl/query, how they obtain the model answers, and where the current products have gaps.

Yes. This has become a real category usually called AI visibility, AEO (Answer Engine Optimization), or GEO (Generative Engine Optimization).

These platforms generally run a defined set of prompts against multiple AI assistants, save the answers, and analyze mentions, rankings, citations, sentiment, and competitors. So it’s less “crawl every answer on the internet” and more “continuously sample the answers customers are likely to receive.”

A few worth looking at:

• otterly.ai — tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. It specifically tracks brand mentions, citations, sentiment, share of voice, and the URLs cited by the models. Otterly
• ahrefs.com — particularly interesting if you're already using Ahrefs. It tracks mentions and citations across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, with ongoing monitoring through Brand Radar. Ahrefs
• aiattention.ai — monitors ChatGPT, Gemini, Perplexity, Claude, Qwen, DeepSeek and Kimi, including the actual raw answers, citations and competitors. AIAttention
• mentionhq.com — tracks ChatGPT, Claude, Gemini, Perplexity, DeepSeek and Grok, with mention/ranking/citation analysis. Mention
• searchprism.io — takes an interesting evidence-first approach: it stores the full answer word-for-word, counts mentions, and tracks which competitors and sources appear. Prism

The distinction I'd pay attention to

If what you mean by “show me everywhere our brand is being quoted” is:

“Find every instance where ChatGPT/Claude/Gemini/etc. mentions our brand, tell me exactly what it said, and show me the source material that caused the mention.”

then citation/source tracking is the key feature—not merely a visibility score.

For example, a good system should be able to show something like:

Prompt: “What are the best accounting platforms for startups?”
Model: ChatGPT
Brand: Acme
Position: #2 recommendation
Sentiment: Positive
Citation: example.com/comparison-of-accounting-platforms
Competitors mentioned: X, Y, Z
Raw answer: [full response]

And then aggregate that across hundreds/thousands of prompts and models.

OtterlyAI, Ahrefs, AIAttention and SearchPrism are probably the first four I'd investigate, depending on whether you care most about enterprise reporting, SEO integration, breadth of models, or raw-answer/evidence analysis. Otterly AIAttention Prism Ahrefs

One caveat: none of these can literally observe every private conversation users have with ChatGPT/Claude/etc. They monitor answers generated from prompts they themselves submit (and, in some cases, AI-search results/discovered mentions). So “every time our brand is mentioned” generally means every monitored/queryable instance, not every AI conversation worldwide.

If you're asking because you're considering building a product in this space, there is a particularly interesting gap between these tools and a true “AI answer observability” platform. I can break down what the existing players actually collect, how they get the data, and where there may still be an open product opportunity.

Yes. This is now a fairly established category usually called AI visibility, LLM visibility, AI search monitoring, or GEO (Generative Engine Optimization).

The important distinction is that the better platforms don't just search the web for mentions of your brand. They run a library of prompts against multiple AI assistants, save the actual answers, and analyze whether/how your brand appears, what competitors appear, and which sources get cited.

A few worth looking at:

• searchprism.io — particularly close to what you're describing. It monitors ChatGPT, Claude, Gemini and Perplexity, stores the responses word-for-word, and counts brand mentions and competitor appearances. Prism
• ahrefs.com — from Ahrefs; checks visibility across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Good if you already use Ahrefs. Ahrefs
• getmint.ai — tracks mentions, citations, sentiment and share of voice across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. GetMint
• nightwatch.io — monitors ChatGPT, Claude, Gemini, Perplexity and Copilot, with brand visibility, sentiment, competitors and share of voice. Nightwatch
• citany.com — goes broader, covering ChatGPT, Perplexity, Gemini, Claude, Grok, DeepSeek, Kimi and Doubao, including the sources shaping answers. Citany
• presenc.ai — explicitly focuses on cross-platform monitoring and runs the same prompt set across assistants. Presenc AI

But there's a subtle distinction

If by "crawls AI assistant answers" you mean:

"Show me every time ChatGPT/Claude/Gemini/etc. has actually mentioned my company, what it said, and ideally the source it used."

then most platforms don't literally crawl a global archive of everyone's private AI conversations. They generally generate their own controlled queries repeatedly and analyze those responses. That's an important limitation because private ChatGPT conversations aren't publicly crawlable.

The resulting dataset tends to look something like:

That's essentially rank tracking for AI answers instead of Google search results.

There's also an emerging second layer that I think is particularly interesting: citation/source attribution. Some products track not merely "Did AI mention us?" but "What websites caused AI to mention us?" and "Which sources are causing the model to recommend our competitor instead?" That's arguably much more actionable for marketing teams. sightivo.com onpagepilot.com

If you're asking because you're considering building a product in this space, that's a different and much more interesting question—the market is already getting crowded, but there are some pretty significant gaps in what these platforms measure.

Yes. A new category of tools has emerged around this: AI visibility tracking, LLM brand monitoring, or Generative Engine Optimization (GEO) analytics. They don’t literally crawl every private AI conversation (that isn’t possible), but they typically run controlled prompt sets against public AI assistants/models, capture the answers, and analyze when/how brands appear. Tracemetry

Some platforms in this space:

The important distinction is:

• Brand mention tracking: “Does ChatGPT/Gemini/Claude mention us?”
• Recommendation tracking: “Does AI recommend us when someone asks for the best solution?”
• Citation tracking: “What sources does AI rely on when talking about our category?”
• Position/share-of-voice tracking: “Are we the first brand mentioned, or buried after competitors?” Centium

If you’re evaluating one for a brand team, I’d look for:

1. Exact stored AI responses (not just a score)
2. Competitor comparisons from the same prompts
3. Citation/source analysis
4. Historical tracking (AI answers change frequently)
5. Coverage across ChatGPT, Claude, Gemini, Perplexity, and Google AI surfaces

A caveat: no tool can reliably “crawl all AI answers” the way Google crawls web pages, because most assistant conversations are private and model outputs are dynamic. The best tools approximate this by repeatedly running a representative prompt library and measuring the outputs over time. Tracemetry

If you’re thinking about this from a brand/SEO agency, enterprise marketing, or building the platform yourself angle, the recommended stack would be different.

Yes. This is now a fairly active category, usually called AI visibility monitoring, GEO (Generative Engine Optimization), or AI search monitoring.

A few platforms worth looking at:

• tryprofound.com — one of the better-known enterprise-oriented options for monitoring how brands appear across AI search/answer engines.
• discoveredby.ai — tracks ChatGPT, Gemini, Perplexity, Claude and Grok, including the exact prompts, answers and URLs cited.
• citations.io — specifically focused on seeing whether ChatGPT, Gemini, Perplexity and Claude mention/cite your brand.
• brandcited.ai — monitors 9 AI platforms and emphasizes competitive analysis: who AI recommends instead of you and why.
• asklantern.com — combines AI citation monitoring with prompt coverage and AI-driven recommendations.
• intendity.com — tracks mentions, competitors, sources and sentiment across ChatGPT, Claude, Gemini and Perplexity.
• mentionsflow.com — tracks mentions, citations, comparisons, share of voice and the specific source pages being cited.
• geoecho.ai — interesting if you care about a broader international model set, including DeepSeek, Kimi and Doubao.

The important distinction

There are actually two different products hiding under this category:

1. "Does AI mention my brand?" monitoring

• Run hundreds/thousands of commercially relevant prompts.
• Compare ChatGPT vs. Gemini vs. Claude vs. Perplexity.
• Measure mention rate, ranking/position, sentiment and share of voice.
• "Where did AI get that information?" monitoring

• Capture the URLs/sources cited in each answer.
• Determine which publications, Reddit threads, review sites, directories, etc. are influencing the model.
• Identify: "Competitor X is being cited from these 17 domains, while we're absent."

The second one is arguably much more interesting for a marketing team because it turns "we're not showing up in ChatGPT" into an actionable question: what sources are causing the model to recommend the competitor instead?

For example, a useful dashboard might say:

Prompt: "Best payroll software for a 100-person company"
ChatGPT: You #3 — cited your pricing page
Claude: Not mentioned — cites G2 + competitor comparison
Gemini: Competitor #1 — cites Forbes + Reddit
Perplexity: You #2 — cites 3 review sites

Opportunity: Get included in X, Y and Z sources.

That's essentially the emerging GEO equivalent of Ahrefs/Semrush, rather than traditional SEO.

If you're asking because you're considering building one, I can also break down what these platforms actually crawl, how they query the models, what data they can/can't reliably capture, and where there is still a gap in the market.

If you're asking because you're considering building one, I can also break down what these platforms actually crawl, how they query the models, what data they can/can't reliably capture, and where there is still a gap in the market.

Yes. This is now a real category usually called AI visibility tracking, GEO (Generative Engine Optimization), or AI search monitoring.

A few platforms are specifically built around the workflow you described:

• citations.io — tracks whether ChatGPT, Gemini, Perplexity, and Claude mention/cite your brand, including the actual answers and citations. Citations.io
• mentiongeo.ai — monitors brand mentions across ChatGPT, Claude, Gemini, Perplexity and Google AI, with competitor/share-of-voice analysis. MentionGEO
• geovector.ai — broader enterprise-style monitoring across ChatGPT, Gemini, Claude, Perplexity and Google AI, including citations, sentiment, competitors and buyer journeys. GeoVector
• citeprism.com — particularly interesting if you care about the actual answer, rather than just a visibility score. It records the response, highlights your brand, and shows the sources the assistant used. CitePrism
• ahrefs.com — Ahrefs has entered this space too, with tracking across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Ahrefs

The distinction I'd make

There are actually two different products hiding inside your question:

1. "Where is my brand being mentioned?"

Run a standardized set of customer prompts across models and record mentions, rankings, sentiment and competitors.

2. "Where is the AI getting that information from?"

Trace the citations/sources behind those answers—e.g. Reddit, review sites, publishers, your own site, competitor sites, etc.

The second one is particularly valuable because it tells you what is influencing the model's answer, not merely that you appeared in it. CitePrism, for example, explicitly exposes the underlying answer and cited sources. CitePrism

There's also an emerging third layer: actually crawling AI-agent/model activity against your website rather than querying the models yourself. Some newer platforms are trying to connect the chain from AI crawling your content → retrieval → final answer. LLM Search Console

If you're asking because you're considering building something in this space, I can also break down what these platforms actually do under the hood, where the data comes from, and what the unsolved product gap is.

Yes. A new category of tools has emerged for this: AI visibility tracking, AI search monitoring, or GEO (Generative Engine Optimization) tracking. They don't literally "crawl all AI answers" (there is no universal feed/API for every model), but they typically run a set of tracked prompts against AI assistants, capture the answers, and measure where your brand appears, how competitors appear, and which sources get cited. Tracemetry Honeyb

Some platforms to look at:

Typical metrics these tools provide:

• Mention rate — how often your brand appears in answers for target prompts.
• Share of voice — your appearance rate vs. competitors.
• Citation rate — how often models cite your website or content.
• Answer position — whether you're the first recommendation or buried lower.
• Prompt coverage — which customer questions include or exclude you.
• Source influence — which websites, reviews, forums, or publications models rely on. Foglift CitePrism

A few caveats:

• AI answers are not static search rankings; they vary by prompt wording, date, location, user context, and model settings. Good tools sample repeatedly rather than treating one answer as truth. Honeyb
• Some models expose citations more clearly than others. Perplexity is generally easier to analyze because sources are visible; ChatGPT and Gemini can be harder depending on mode and configuration. Honeyb

If you are evaluating this for a brand/SEO team, I’d look for:

1. a fixed prompt library based on buyer questions,
2. competitor tracking,
3. saved answer snapshots (not just a score),
4. citation/source analysis,
5. API access if you want to integrate it into dashboards.

This space is still early, so I would avoid vendors that only give a single "AI visibility score" without showing the underlying answers. CitePrism

Yes. A new category of tools is emerging around this: AI visibility tracking, AI search monitoring, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) platforms. They don’t literally crawl every private ChatGPT conversation (that data isn’t available), but they run controlled prompt sets against different AI assistants/models, capture the answers, and analyze whether your brand is mentioned, ranked, cited, or recommended. seGEO Blue Jar

Some examples:

• tryprofound.com — One of the better-known enterprise AI visibility platforms. It focuses on monitoring how brands appear in AI answers and understanding sources/citations.
• peec.ai — Tracks brand presence across AI engines and provides visibility reporting.
• mentionscout.com — Tracks mentions across ChatGPT, Gemini, Perplexity, Claude, Grok, and other answer engines, including citations and competitor comparisons. MentionScout
• segeo.io — Focuses on how brands appear in AI answers, including visibility, share of voice, and the exact answers where mentions occur. seGEO
• rankr.so — Monitors AI visibility, position, sentiment, and cited sources across models. Rankr
• getmint.ai — Tracks mentions, citations, sentiment, and share of voice across multiple AI answer engines. GetMint

Typically they let you define prompts like:

“What are the best CRM platforms for startups?”
“Compare Brand X vs Brand Y.”
“What software should a 500-person company use for analytics?”

Then they repeatedly ask models and report things like:

• Mention rate: How often your brand appears
• Position: Whether you’re listed first, second, etc.
• Share of voice: Your visibility versus competitors
• Sentiment: Whether AI describes you positively or negatively
• Citation sources: Which websites, articles, Reddit threads, reviews, etc. are influencing the answer
• Prompt gaps: Queries where competitors appear and you don’t

A key distinction: these tools are closer to rank trackers for AI answers than true crawlers. They generally cannot see all user conversations happening inside ChatGPT, Claude, Gemini, etc.; they measure visibility by repeatedly testing representative prompts.

If you’re evaluating one for a brand team, I’d look for:

1. Ability to track your actual customer prompts (not just generic queries)
2. Raw answer capture (not only a score)
3. Citation/source analysis
4. Competitor tracking
5. Historical trends
6. Coverage of the models your customers actually use

For an enterprise brand, I’d probably shortlist Profound, Peec, and MentionScout; for a smaller team, the newer self-serve tools like seGEO, Rankr, or GetMint may be easier to start with. seGEO MentionScout Rankr GetMint

Yes. A new category of tools is emerging for this: AI visibility monitoring, AI search optimization (AIO/AEO), or generative engine optimization (GEO) platforms. They generally do not “crawl all private ChatGPT conversations” (that data isn’t available), but they run controlled prompts against AI assistants, record the answers, and track when/where your brand appears, how it is described, which competitors appear, and which sources are cited. Tracemetry Foglift

Some platforms to look at:

• pineprompt.com — Tracks brand mentions, sentiment, citations, and share of voice across ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, and AI search surfaces. Pineprompt
• presenc.ai — Focuses on cross-platform monitoring with unified prompts, competitor benchmarking, and dashboards. Presenc AI
• promptmention.com — Tracks how assistants describe brands and what sources influence those answers. PromptMention
• citations.io — Focuses on AI citations: whether assistants mention your brand and whether they cite your website. Citations.io
• mentionsflow.com — Tracks mentions, citations, comparisons, share of voice, and source pages across major AI answer engines. Mentions Flow
• citatur.com — Tracks recommendations, competitor mentions, rankings, sentiment, and cited sources. Citatur

Typical capabilities:

• Prompt monitoring: “What are the best CRM tools for startups?” → does the AI mention us?
• Brand share of voice: how often you appear versus competitors.
• Position tracking: first recommendation vs buried mention.
• Citation tracking: which websites, articles, reviews, or documentation the AI relies on.
• Narrative monitoring: whether the AI describes your brand accurately.
• Model comparison: ChatGPT vs Claude vs Gemini vs Perplexity differences. Presenc AI Pranas

A couple of caveats:

• These tools usually simulate customer questions rather than discover every real user conversation.
• AI answers are stochastic, so good tools run repeated tests over time rather than treating one answer as definitive. Tracemetry
• Tracking “being mentioned” is only one metric; a brand can be mentioned negatively or incorrectly, so sentiment and citation context matter.

If you’re evaluating this for a brand/marketing team, the shortlist I’d compare first would be Pineprompt, Presenc AI, Citations.io, and MentionsFlow. If it’s for SEO/GEO strategy, I’d also look at tools that connect AI mentions back to the pages and sources influencing the answers. Pineprompt Mentions Flow

Yes. This is becoming a new category usually called AI visibility tracking, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), or LLM visibility monitoring. These platforms don’t literally crawl every private AI conversation (they can’t access users’ chats), but they run controlled prompts against multiple AI assistants/models, collect the answers, and analyze when/how your brand appears. Zumi PromptMention

Some platforms to look at:

Typical capabilities:

• Prompt monitoring: “Best CRM for startups,” “top running shoes,” etc., then seeing whether your brand appears.
• Mention share of voice: how often you appear versus competitors.
• Position tracking: whether you are the first recommendation or buried.
• Citation/source tracking: which websites, articles, reviews, or datasets the model relied on.
• Sentiment analysis: whether the AI describes your brand positively, negatively, or neutrally.
• Model comparison: e.g., ChatGPT vs Claude vs Gemini differences. Rankr Answyn

A few caveats:

• They cannot see organic user conversations inside ChatGPT, Claude, Gemini, etc. Those are private.
• They generally measure synthetic buyer journeys: “run these 500 prompts every day and record the answers.”
• Results can vary depending on model version, location, personalization, browsing availability, and prompt wording.

If you’re evaluating this for a brand/marketing team, I’d look for:

1. Prompt-level raw answer storage (not just a score).
2. Citation tracking (which pages/models trust).
3. Competitor benchmarking.
4. Historical trends.
5. Ability to add your own buyer questions, not only vendor-generated prompts.

The category is still early, and many tools are effectively becoming the “Semrush/Ahrefs of AI answers.” search-visibility.ai llumohq.com

Yes. What you’re describing is now generally called AI visibility monitoring, LLM visibility tracking, or GEO (Generative Engine Optimization) monitoring.

These platforms don't literally crawl every answer ever produced by every model—that would be impossible. Instead, they run a defined set of prompts across multiple AI assistants, capture the answers, and analyze mentions, recommendations, rankings, and citations.

A few worth looking at:

• citations.io — Tracks whether ChatGPT, Gemini, Perplexity, and Claude mention/cite your brand, including the actual answers and citation behavior. Citations
• mentiongeo.ai — Focuses specifically on brand mentions, competitors, share of voice, sentiment, and the sources AI answers cite. MentionGEO
• geomonitor.app — Broader coverage: ChatGPT, Perplexity, Claude, Gemini, DeepSeek, and Grok, with citation-gap and competitor analysis. GEO Monitor
• getmint.ai — Tracks mentions, citations, sentiment, and share of voice across major AI models and AI Overviews. GetMint
• mentionscout.com — Tracks seven major answer engines and emphasizes showing the source behind each citation and where competitors are winning. MentionScout
• geopta.com — More of an end-to-end GEO platform, including AI visibility, competitor intelligence, reputation monitoring, and AI crawler analytics. GEOpta

The distinction I'd pay attention to

There are actually three different products getting lumped together under "AI monitoring":

1. AI answer monitoring

"When someone asks ChatGPT X, does it mention our brand?"

2. Citation/source intelligence

"What websites are causing ChatGPT/Perplexity/Gemini to mention our brand—and which sources are causing competitors to appear?"

3. AI reputation monitoring

"What is AI saying about our brand overall? Is it accurate, positive, outdated, or misrepresenting us?"

The second one is particularly interesting if your goal is "show me everywhere our brand is being quoted and what is driving those citations." Some newer platforms are getting fairly granular here; for example, GEO Monitor says it captures the full response and source metadata and identifies citation gaps versus competitors. GEO Monitor

If you're thinking about building a platform like this, there's also a meaningful product gap: most existing tools are essentially prompt/rank trackers. A stronger product could build a continuously updated "AI mention graph" showing:

Brand → AI answer → model → prompt → citation/source → quoted claim → competitor → date/version

That would be substantially more useful than just an "AI visibility score."

If that's what you're considering, I can also map out the current competitive landscape and what an actually differentiated version of this product could look like.

Yes. What you're describing is generally called AI visibility, AI search visibility, or LLM/AI citation tracking. There are several platforms now that essentially run customer-style prompts across multiple AI assistants, capture the answers, and tell you when your brand is mentioned or cited.

A few worth looking at:

• mentionscout.com — Tracks ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews and AI Mode. It specifically shows the source URL behind citations, competitors, sentiment, and visibility over time. MentionScout
• getmint.ai — Tracks brand mentions, citations, sentiment and share of voice across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. GetMint
• citations.io — Particularly focused on citation intelligence: which answers mention you, which URLs/models cite you, and which competitors/sources get cited instead. Citations
• rank.ai — Tracks mentions and citations across seven surfaces including ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews. Rank.ai
• zumihq.com — Goes broader, with nine AI surfaces and page-level source/citation tracking. Zumi

The important distinction

There are actually two different things you might mean:

1. "Does AI mention my brand?"

Example: "What's the best CRM for small businesses?" → ChatGPT mentions Acme.

2. "What sources is AI using to talk about my brand?"

Example: ChatGPT says Acme is good and cites a TechCrunch article, Reddit thread, G2 page, or Acme's own site.

The second one is arguably more interesting from a marketing/PR perspective because you can discover which third-party websites are influencing how AI models perceive your brand.

Some platforms now expose that at the individual URL level. For example, Zumi says it tracks the exact pages AI engines pulled from and ranks domains/pages by citation share. Zumi

If you're evaluating this as a product category

I'd frame the competitive landscape as:

SEO rank tracking → AI visibility tracking → AI citation/source intelligence

The more sophisticated products aren't just saying "you're mentioned 42% of the time." They're trying to answer:

Which prompts cause us to appear, which models mention us, what exactly do they say, what sources caused that answer, which competitors are replacing us, and what can we change to increase our presence?

That's a much more valuable product.

If you're asking because you're considering building something like this, I can also break down what these platforms actually crawl/query, how they technically detect citations across ChatGPT/Claude/Gemini, and where there may still be a gap in the market.

Yes. This is becoming a real category, usually called AI visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization).

The key distinction is that these platforms generally don't crawl the entire universe of AI conversations. Instead, they repeatedly run a defined set of customer/search prompts through different AI assistants and record the resulting answers, mentions, rankings, and citations. That's actually more useful for brand monitoring because you can measure changes over time.

A few worth looking at:

• citations.io — tracks ChatGPT, Gemini, Perplexity and Claude, showing the actual answers that mention/cite you, competitors that appear instead, and the sources being cited. Citations.io
• tryprofound.com — one of the more established enterprise-oriented players in AI search/LLM visibility. It's particularly focused on understanding why AI engines surface particular sources and brands.
• ahrefs.com — useful if you're already in the Ahrefs ecosystem; it checks visibility across ChatGPT, Gemini, Perplexity, Copilot and Google's AI experiences. Ahrefs
• mentionscout.com — tracks ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Claude and Grok, including the sources behind citations and competitor comparisons. MentionScout
• rank.ai — monitors ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews, with daily prompt checks. Rank.ai
• nightwatch.io — interesting if you want to connect AI citations back to conventional SEO rankings. Nightwatch

If what you mean is slightly different...

If you're asking:

"Can something continuously discover every time an AI assistant quotes/cites our brand, without us having to specify the questions?"

That's a harder problem, and most of these products don't really do that. They are primarily prompt surveillance systems, not passive crawlers of all ChatGPT/Claude/Gemini conversations.

The more interesting product would be something like:

Brand → AI answer monitoring → exact answer → exact citation/source → model → prompt/topic → competitor → historical change

For example:

ChatGPT — Sept 2
User asks: "What's the best accounting software for startups?"

Mentioned: Brand X
Position: #2
Sentiment: Positive
Cited: brandx.com/pricing
Competitors: QuickBooks, Xero
Source influencing answer: Forbes article, G2, Reddit, etc.

And then aggregate that across thousands of commercially relevant prompts and models.

That is essentially the emerging "AI brand intelligence" category. Recent reporting even describes firms such as Promptwatch measuring changes in which sources AI systems cite, illustrating how quickly this market is evolving. businessinsider.com

If you're asking because you're considering building something like this, I can also break down how these platforms actually collect the AI answers, what APIs/data sources they use, and where the defensible technical moat is.

Yes. This is now a fairly established category, usually called AI visibility, GEO (Generative Engine Optimization), or AI answer monitoring.

The important distinction is that most of these platforms don't literally “crawl all AI assistant answers” (there isn't a universal firehose of private ChatGPT/Claude conversations). Instead, they continuously run a set of buyer/research prompts against multiple AI engines and record the resulting answers, mentions, rankings, and citations. Tracemetry Ahrefs

Platforms worth looking at

• citations.io — specifically focused on seeing whether ChatGPT, Gemini, Perplexity, and Claude cite or mention your brand, including the exact sources cited. Citations.io
• ahrefs.com — useful if you're already in the SEO ecosystem. Tracks ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, including cited domains/pages. Ahrefs
• chatobserver.com — tracks mentions, citations, competitors and sentiment across ChatGPT, Gemini, Claude, Perplexity and AI Overviews, with daily answer capture. Chatobserver
• brandcited.ai — particularly interesting if you care about which sources are causing AI to cite you, rather than simply whether your brand was mentioned. It claims coverage of nine AI platforms. BrandCited
• seerly.app — tracks live prompts and lets you drill into the actual AI response, cited sources and competitor mentions. Seerly
• rank.ai — tracks daily prompts across ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI surfaces. Rank.ai

The interesting opportunity

If what you're describing is:

“Give me a media-monitoring dashboard for everything AI assistants say about my company, product, people and competitors.”

then yes, there are products approaching this, but the market is still pretty immature.

Most current tools are really “AI rank trackers.” You give them 50–500 prompts such as:

• “Best CRM for small businesses”
• “Alternatives to Salesforce”
• “Best CRM for real estate”
• “Is [Brand] worth it?”
• “Compare [Brand] vs [Competitor]”

They periodically run those prompts and tell you:

Brand mentioned → position → sentiment → citation → cited URL → competitors mentioned → model → trend over time.

Some even distinguish brand mention vs. actual citation, which is a very important distinction. Citations.io GetMint

But there's a bigger product concept here

I think there are actually two different markets hiding under your question:

1. AI SEO / visibility tracking

“How often does ChatGPT recommend us?”

That's what the products above mostly do.

2. AI brand intelligence / media monitoring

“What is AI saying about us across the entire AI ecosystem?”

That could include:

• every mention of your brand
• every product mention
• claims AI makes about you
• positive/negative/incorrect claims
• competitors mentioned alongside you
• which websites are being cited
• which Reddit posts/articles/videos are influencing the answer
• changes in AI perception over time
• hallucinations/misinformation
• model-by-model differences
• “Why did ChatGPT recommend Competitor X instead of us?”
• alerts when a model's description of your company materially changes

That's much closer to Brandwatch/Meltwater for AI answers than traditional SEO.

And there is a particularly interesting layer: source attribution. For example:

ChatGPT recommends Acme
↓
cites G2 + Forbes + Reddit
↓
those sources contain specific claims about Acme
↓
Claude cites different sources
↓
Gemini cites your own website

That lets a company understand what is actually shaping the AI's perception of its brand, rather than merely observing the output.

If you're asking because you're considering building something in this space, I can also map out the current competitive landscape and identify what these platforms don't do yet / where there may be a genuine product gap.

2. AI brand intelligence / media monitoring

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

These platforms repeatedly ask the major AI assistants questions your customers might ask, then record whether your brand appears, where it ranks, what it says about you, which competitors appear, and what sources/URLs get cited.

A few worth looking at:

• ahrefs.com — Good if you already use Ahrefs. Tracks visibility across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews.
• chatobserver.com — Specifically focused on recording AI answers, citations and competitors across ChatGPT, Gemini, Claude, Perplexity and AI Overviews.
• citations.io — Particularly relevant if your main question is “Are we being cited, and what sources are AI using instead?”
• reputably.net — More enterprise/GEO-oriented, including answer evidence, citations, competitor share of voice and AI traffic.
• surva.ai — Tracks brand mentions across ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews, including discovered mentions.
• rank.ai — Tracks whether models recommend/cite you and lets you monitor predefined buyer prompts daily.
• apify.com — Interesting if you want something more programmable: it exposes prompt-level evidence, mentions, rankings, citations, competitors and sentiment.

The important distinction

There are actually two different products hiding inside your question:

1. “Ask the models and monitor the answers”

“What are the best payroll platforms for small businesses?”

Then track:

• Does our brand appear?
• Position #1, #2, #3, etc.
• How frequently are we mentioned?
• What does the model say about us?
• Who gets recommended instead?
• What URLs does it cite?
• Does this change between ChatGPT, Claude, Gemini, Perplexity, etc.?

Most of the products above do this.

2. “Find every time our brand is organically quoted by AI”

That's harder.

You'd ideally want something closer to Google Alerts for AI answers: continuously discover new prompts/conversations where people mention your company, rather than only running a predefined list of prompts.

Some newer platforms are starting to address this. For example, Surva describes combining tracked prompt responses with discovered LLM mentions. Surva.ai

If you're thinking about building this

There is definitely a product opportunity here.

The interesting dataset isn't just “ChatGPT mentioned Acme 43 times.” It's:

Question → Model → Answer → Brand mentions → Competitors → Position → Sentiment → Citations → Sources → Date

That lets a brand answer a much more valuable question:

“Why is AI recommending our competitor instead of us, and what sources are causing it?”

That's essentially the AI-era equivalent of SEO rank tracking.

If you tell me what your brand/product does, I can also map out the existing competitors in this space and tell you which platform is closest to the exact “crawl AI answers and show me everywhere my brand is being quoted” workflow.

Yes. This is now a fairly established category called AI visibility tracking, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization).

These platforms repeatedly run relevant buyer prompts through multiple AI assistants and capture:

• Whether your brand is mentioned
• Which models mention you — ChatGPT, Claude, Gemini, Perplexity, etc.
• Whether your site is actually cited/linked as a source
• Which pages/domains are being cited
• Which competitors are mentioned instead
• Your share of voice / position in the answer
• Sentiment and sometimes inaccurate claims
• Changes over time

A few worth looking at:

• citations.io — specifically focused on citations and visibility across ChatGPT, Gemini, Perplexity and Claude. It shows the actual answers and sources being cited. Citations
• indexly.ai — tracks mentions and citations across ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews, including citation share by domain. Indexly
• rank.ai — tracks brand mentions/citations across seven AI surfaces and lets you define the prompts you care about. Rank.ai
• getmint.ai — focuses on visibility, citations, sentiment and share of voice across major AI engines. GetMint
• mentionscout.com — particularly interesting if you want the evidence behind the visibility score: prompts, competitor wins and the actual citation sources. MentionScout
• getmentioned.co — captures raw LLM answers daily and analyzes not just mentions but how AI describes and positions your brand. GetMentioned

The important distinction

If by "crawls AI assistant answers" you mean "show me every time somebody anywhere asks ChatGPT about my company", that's generally not possible. These tools don't have access to everyone's private ChatGPT/Claude conversations.

Instead, they work more like an AI version of Ahrefs/SEMrush rank tracking:

Define 100–1,000 questions your customers might ask → run those questions across the major AI engines repeatedly → save the answers → extract brand mentions + citations + competitors → trend everything over time.

That's actually useful because you can answer questions like:

"For the 200 questions that matter to our business, which AI models recommend us, what sources are causing them to recommend us, and where are competitors beating us?"

There are also newer platforms going beyond simple tracking into "why did the model say this?" and recommending what content/PR/citations to create to influence future answers. For example, evidentlyaeo.com and tryprefer.com position themselves more as optimization platforms rather than just monitoring dashboards. EvidentlyAEO Prefer

If you're evaluating this as a product/category, I can also break down the current landscape — e.g. Profound vs Otterly vs Peec vs Scrunch vs the newer tools — and what each actually captures, their approximate pricing, and where there's still a gap in the market.

Yes. This is becoming a distinct category usually called AI visibility, LLM visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization).

These platforms essentially do what you're describing: run a set of prompts across multiple AI assistants, capture the answers, detect your brand mentions/citations, and show which sources/models are driving the answers.

A few worth looking at:

• ahrefs.com — probably the most established SEO-oriented option. Tracks ChatGPT, Gemini, Perplexity, Copilot and Google AI surfaces, including mentions, cited domains/pages, topics, and competitors.
• tryprofound.com — enterprise-focused AI visibility/answer-engine monitoring. Particularly interesting if you want deeper analysis of why models are mentioning particular brands and sources.
• demandsphere.com — tracks mentions, citations, sentiment and competitive positioning across 10+ AI engines.
• frase.io — monitors prompts across ChatGPT, Perplexity, Claude, Gemini and Google AI, and lets you inspect the actual answers behind the metrics.
• zumihq.com — interesting if you want broad engine coverage; it claims tracking across up to nine engines, including ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, DeepSeek and Google's AI surfaces.
• citations.io — specifically centered around which AI answers cite your brand and which competitors/sources get cited instead.
• mentionscout.com — tracks visibility across ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI surfaces, with competitor/share-of-voice analysis.

The important distinction

There are actually two different products hiding inside your question:

1. AI visibility monitoring

"When someone asks ChatGPT/Gemini/Perplexity X, does it mention our brand?"

This is what most of the platforms above do.

2. AI citation/source intelligence

"When an AI gives an answer about our category, exactly which websites, articles, Reddit threads, YouTube videos, etc. did it rely on—and where is our brand being quoted or cited?"

That's more interesting if you're thinking about this as a product opportunity.

For example, you could have a dashboard like:

Then layer on:

• Share of voice vs. competitors
• Citation share — how often your domain is actually cited
• Source-of-influence graph — which publishers/sites repeatedly appear in AI answers
• Model differences — e.g. ChatGPT likes G2 while Gemini relies heavily on Reddit
• Prompt trends over time
• Hallucination/misinformation monitoring
• Alerts when an AI model stops mentioning your brand
• "Why aren't we being cited?" analysis
• Recommended PR/content/link opportunities based on sources the models already trust

And there is evidence that this is moving quickly: recent reporting describes tools such as Promptwatch monitoring changes in which sources ChatGPT cites, while newer offerings are explicitly analyzing the content that LLMs use to construct recommendations. Business Insider The Wall Street Journal

If you're asking because you're considering building something in this space, I think there's a particularly interesting gap between "AI rank tracker" and "AI source intelligence." The latter—mapping where models get their information and what causes a brand to enter an answer—could be substantially more valuable than another visibility-score dashboard.

This is what most of the platforms above do.

2. AI citation/source intelligence

"When an AI gives an answer about our category, exactly which websites, articles, Reddit threads, YouTube videos, etc. did it rely on—and where is our brand being quoted or cited?"

That's more interesting if you're thinking about this as a product opportunity.

For example, you could have a dashboard like:

Then layer on:

• Share of voice vs. competitors
• Citation share — how often your domain is actually cited
• Source-of-influence graph — which publishers/sites repeatedly appear in AI answers
• Model differences — e.g. ChatGPT likes G2 while Gemini relies heavily on Reddit
• Prompt trends over time
• Hallucination/misinformation monitoring
• Alerts when an AI model stops mentioning your brand
• "Why aren't we being cited?" analysis
• Recommended PR/content/link opportunities based on sources the models already trust

And there is evidence that this is moving quickly: recent reporting describes tools such as Promptwatch monitoring changes in which sources ChatGPT cites, while newer offerings are explicitly analyzing the content that LLMs use to construct recommendations.

Yes. There’s now a fairly mature category for this, usually called AI visibility tracking, LLM visibility, GEO (Generative Engine Optimization), or AI search monitoring.

These platforms don't literally crawl all AI assistant conversations—that isn't possible because most user conversations are private. Instead, they run a controlled set of prompts across models, capture the answers, and analyze whether your brand is mentioned, recommended, or cited.

A few worth looking at:

• citations.io — Tracks ChatGPT, Gemini, Perplexity, and Claude, including the actual answers, citations, competitors, and which sources are being used. Citations
• chatobserver.com — Particularly focused on seeing the actual AI answers, mentions, citations, competitors, and reporting across ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews. Chatobserver
• zumihq.com — Broader coverage, claiming up to nine AI engines, with citation rankings and daily monitoring. Zumi
• ahrefs.com — A good option if you're already in the SEO ecosystem; checks brand visibility across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Ahrefs
• nightwatch.io — Interesting if you want to connect AI citations back to traditional Google rankings and SEO performance. Nightwatch

The important distinction

If what you're asking is:

"Can I see every place an AI assistant is talking about my company, what it says, and what websites it's using to form that answer?"

Then yes, partially.

The best products give you something like:

Prompt:
"What are the best CRM platforms for a 50-person SaaS company?"

ChatGPT

• Brand mentioned: ✅
• Position: #2
• Sentiment: Positive
• Cited: yourbrand.com/pricing
• Competitors: Salesforce, HubSpot
• Sources used: G2, Reddit, industry publications, your site

Claude

• Brand mentioned: ❌
• Competitor recommended: HubSpot
• Sources: G2, Capterra, industry publications

Perplexity

• Brand mentioned: ✅
• Position: #4
• Citation: third-party review
• Your website: not cited

That's much more actionable than simply monitoring Google search rankings.

One particularly useful metric is "citation share": not just "does AI mention us?" but "when AI answers questions in our category, what percentage of the cited sources are ours versus competitors/third parties?" Some newer platforms explicitly expose this. Citations CitationLab

If you're evaluating this for a brand/marketing product, I can also break down the current players (Profound, Peec, Otterly, Scrunch, Ahrefs, Zumi, etc.) by models covered, exact-answer capture, citation tracking, pricing, APIs, and which one is closest to "Google Analytics for AI answers."

Yes — this is now a fairly established category, usually called AI visibility, GEO (Generative Engine Optimization), or AI search monitoring.

A few platforms that are specifically doing what you described:

• zumihq.com — probably one of the broader options. Tracks up to 9 AI engines, including ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, DeepSeek, Google AI Overviews and AI Mode. It tracks citations and which sources drive answers. Zumi
• mentionscout.com — particularly close to your description. It runs your actual prompts across AI engines, detects mentions, parses the citations, identifies the URLs being cited, and shows competitors that win when you don't. MentionScout
• getmint.ai — tracks mentions, citations, sentiment and share of voice across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. GetMint
• nightwatch.io — combines AI monitoring with traditional SEO/SERP data, and shows the URLs cited in AI answers. Nightwatch
• ahrefs.com — useful if you're already in the Ahrefs ecosystem; it covers ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Ahrefs
• pondral.com — more focused on showing the evidence behind the visibility score: prompt, answer, timestamp, mention context, citation and competitor presence. Pondral

The important distinction

There are actually two different products hiding inside your question:

1. "Does AI mention my brand?"

You give it 100–1,000 prompts such as:

"What's the best payroll software for a 50-person company?"

and it repeatedly queries ChatGPT, Claude, Gemini, Perplexity, etc., recording:

• Did the brand appear?
• Where did it rank in the answer?
• Was it recommended or merely mentioned?
• What competitors appeared?
• Sentiment/context
• Which URLs were cited?

That's what most of the platforms above do. AI Search Visibility Sightivo

2. "Where across the internet is AI getting information about my brand?"

This is slightly different and arguably more interesting. You want to trace:

AI answer → citations → source pages → underlying mentions

For example:

ChatGPT recommends Acme
↓
cites Forbes + Reddit + G2 + Acme.com
↓
G2 review and Reddit thread are repeatedly influencing answers
↓
Acme gets quantified attribution across models

Platforms such as MentionScout, Zumi and Nightwatch are moving in this direction. MentionScout Zumi Nightwatch

If you're thinking about building this

There's definitely a market here, but "we track whether ChatGPT mentions your brand" is already crowded. The more interesting product would be an AI citation intelligence layer:

"Show me every place AI is quoting, citing, or learning about my brand across models — and tell me which sources are actually driving those answers."

That could combine model-level monitoring with a continuously updated citation graph:

Brand → AI answer → cited URL → source/domain → passage/topic → competitor → model → prompt → date

That gets much closer to "Google Search Console for AI answers" than another generic AI visibility score.

If that's what you're exploring, I can also break down the existing competitors, what each one actually crawls, their pricing, and where there's still a product gap.

Yes. The category is generally called AI visibility / AI search monitoring / GEO (Generative Engine Optimization).

These platforms essentially do what you described: they maintain a set of prompts that prospective customers might ask, run those prompts across multiple AI assistants, save the answers, and analyze whether your brand was mentioned, where it ranked, which URLs were cited, and which competitors were mentioned instead.

A few worth looking at:

• otterly.ai — probably the closest straightforward fit. It tracks ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews and AI Mode, including brand mentions, citations, sentiment and share of voice. Otterly Otterly
• ahrefs.com — particularly interesting if you're already using Ahrefs. It reports mentions plus the domains/pages being cited alongside your brand. Ahrefs
• mentionscout.com — more focused on the evidence behind each answer: citations, competitors, prompt gaps, and even the communities (Reddit, Hacker News, Bluesky) that AI engines are sourcing from. MentionScout
• getmint.ai — tracks mentions, citations, sentiment and share of voice across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. GetMint
• gumshoe.ai — interesting if you care about how different personas/conversations affect recommendations rather than simply running isolated prompts. It compares brand visibility across 11+ AI models. Gumshoe AI
• zumihq.com — broader enterprise-style monitoring, with up to nine engines and detailed citation analysis. Zumi

The important distinction

There are actually two different things you might mean by "where our brand is being quoted":

1. Brand mention tracking

"ChatGPT mentioned Acme in 37% of relevant answers."

2. Citation/source tracking

"ChatGPT answered this question using these 12 URLs, and 4 of them mention/cite Acme."

The second is arguably more valuable. It lets you discover what sources AI systems are using to form their opinion of your brand—e.g. Reddit threads, review sites, publishers, competitor comparisons, your own docs, etc.

Some newer products are going further and effectively building a "Google Search Console for AI answers": prompt → model → complete answer → brands mentioned → URLs cited → competitors → sentiment → change over time.

If you're asking because you're considering building something in this space, that's particularly interesting: the basic "run prompts against ChatGPT/Claude/Gemini and count mentions" layer is already pretty crowded. The potentially differentiated piece is crawling/aggregating the actual AI answers at scale and building a searchable citation graph of which brands are being quoted, by whom, from which sources, and across which models.

Yes — this is now a real software category, usually called AI visibility tracking, GEO (Generative Engine Optimization), or AI brand monitoring.

The tools generally work by running a set of customer-style prompts through multiple AI assistants, then analyzing the answers for:

• Whether your brand is mentioned
• Whether your site/content is actually cited/linked
• Which pages/domains the model cites
• How you compare with competitors
• What position you occupy in recommendation lists
• Sentiment/context around the mention
• Changes over time

Platforms worth looking at

• ahrefs.com — Probably the most established SEO-company option. Tracks ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, and separates mentions from citations. Ahrefs
• frase.io — Tracks prompts across ChatGPT, Perplexity, Claude, Gemini and Google AI, with daily monitoring, competitor share-of-voice and the underlying answer text. Frase
• nightwatch.io — Interesting if you also care about traditional Google rankings; it connects AI mentions/citations with search rankings. Nightwatch
• zumihq.com — Broader model coverage, currently advertising up to nine engines including ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, DeepSeek and Google's AI experiences. Zumi
• citations.io — Very specifically focused on who gets cited, which competitors get cited instead, and the exact answers behind the metrics. It covers ChatGPT, Gemini, Perplexity and Claude. Citations.io
• docs.llmmonitor.io — Similar concept with brand visibility, competitor benchmarking, sentiment, citation tracking and AI crawler analytics. LLMMonitor

One important distinction

If by "crawls AI assistant answers" you mean "I want to discover every time someone anywhere asks ChatGPT about our brand" — that's not really possible. These platforms generally don't have access to everyone's private ChatGPT/Claude conversations.

Instead, they continuously generate and test a large library of relevant prompts themselves, e.g.:

"What are the best [category] tools?"
"Who are the leading [category] companies?"
"[Brand] alternatives"
"[Brand] vs [competitor]"
"What's the best solution for [use case]?"

Then they record the resulting answers and citations. Ahrefs, Frase and the others explicitly describe this approach. Ahrefs Frase

So if you're thinking about this as a product opportunity, there's definitely a market — but the interesting differentiation isn't simply "we monitor ChatGPT." The harder/valuable layer is discovering the prompts that matter, capturing model-specific answers, tracing citations back to their sources, and telling a brand why it was or wasn't mentioned.

If you tell me what you're considering building, I can also map out the existing competitors, their pricing/features, and where there's still a meaningful product gap.

Yes. This is now a fairly established category usually called AI visibility tracking, GEO (Generative Engine Optimization) monitoring, or LLM visibility monitoring.

The important distinction is that these platforms generally don’t crawl every AI answer on the internet. Instead, they repeatedly run a defined set of customer-relevant prompts against multiple AI engines, capture the answers, and analyze whether your brand was mentioned, how it was described, and which sources/URLs were cited.

A few worth looking at:

• otterly.ai — probably one of the more mature options. It tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, including mentions, citations, sentiment, share of voice and the actual cited URLs. It also has an API. Otterly Otterly
• zumihq.com — particularly interesting if you want broad model coverage. It currently advertises up to nine engines, including ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, AI Overviews, AI Mode and DeepSeek, with citation ranking. Zumi
• getmint.ai — focuses on brand mentions, citations, sentiment and share of voice across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. GetMint
• frase.io — combines AI visibility monitoring with content/SEO tooling. It shows the actual answers behind the visibility metrics and which engines cite you versus competitors. Frase
• citations.io — more narrowly focused on citation intelligence. It tracks ChatGPT, Gemini, Perplexity and Claude and shows which URLs are being cited, including competitor sources. Citations
• mentionhq.com — tracks mentions and rankings across ChatGPT, Claude, Gemini, Perplexity, and on higher plans DeepSeek and Grok. Mention

If you're asking because you're considering building this

There is still an interesting gap.

Most of these products are essentially:

Prompt library → query models → capture answers → detect brand → extract citations → calculate visibility/SOV.

They don't necessarily give you a comprehensive picture of every organically occurring AI answer that mentions your brand. That's fundamentally difficult because private ChatGPT/Claude conversations aren't observable.

A potentially more differentiated product would therefore be something like:

"Google Alerts for AI answers."

Where you monitor a much larger universe of commercially relevant prompts and tell a brand:

• Where were we mentioned?
• What exactly did the model say about us?
• Which model said it?
• Which competitor appeared instead?
• What sources caused the model to mention us?
• Which third-party publications are repeatedly being cited?
• What changed since last week?
• Are we being recommended, merely mentioned, or explicitly cited?
• Are different models developing different opinions about us?

That last piece is particularly valuable. For example:

ChatGPT → recommends Brand A
Claude → recommends Brand B
Gemini → recommends Brand A
Perplexity → cites Brand C's review of Brand A

That's much more actionable than a generic "AI visibility = 63%" score.

If you're evaluating this as a competitive landscape / startup opportunity, I can also map out the existing players, their pricing, model coverage, APIs, and where I think the whitespace is.

"Google Alerts for AI answers."

Yes — this category is usually called AI visibility tracking, GEO (Generative Engine Optimization) monitoring, or AI answer monitoring.

A few platforms are doing almost exactly what you described:

• Ahrefs AI Visibility / Brand Radar — tracks brand mentions and citations across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, and shows the domains/pages being cited. Probably the most interesting option if you already use Ahrefs.
• OtterlyAI — specifically monitors brand mentions/citations across ChatGPT, Perplexity, Gemini, Google AI surfaces and Copilot, with competitor/share-of-voice analysis.
• Zumi — broader model coverage: ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, DeepSeek, Google AI Overviews/AI Mode, etc. It explicitly tracks the citations that drive answers.
• Citations.io — focused heavily on which answers mention/cite you, who gets cited instead, and the exact sources behind the answers. It currently covers ChatGPT, Gemini, Perplexity and Claude.
• KeySonar — tracks mentions, citations and top-1 position by model across ChatGPT, Gemini, Claude, Perplexity and Google AI Overview.

The distinction I'd make

There are actually two different products hiding in your question:

1. "Does AI talk about my brand?"
→ AI visibility / brand mention monitoring.

2. "What sources are causing AI to talk about my brand?"
→ AI citation/source intelligence.

The second one is considerably more interesting if you're thinking about this from a PR/SEO/marketing intelligence perspective. For example:

User asks ChatGPT: "What's the best accounting software for startups?"

Your system would capture:

ChatGPT

• Mentioned: Brand X
• Position: #2
• Sentiment: positive
• Citation: example.com/review
• Citation: techpublication.com/article
• Competitor mentioned: Brand Y
• Sources used: 7

Then aggregate that across hundreds/thousands of prompts and models to answer:

"Where is AI getting its information about our brand?"

That's becoming a real category. For example, SourceRank explicitly tracks mentions, citations, sentiment and context across ChatGPT, Claude, Perplexity and Gemini. sourcerank.app

One caveat: these aren't literally "crawling all AI assistant answers." Most work by generating a controlled set of prompts against the various AI surfaces and recording/analyzing the returned answers. There isn't a universal firehose of every ChatGPT/Gemini conversation. tracemetry.com

If you're asking because you're considering building a product in this space, I can also break down what the existing platforms don't do well and where there may still be a compelling product opportunity.

Yes. This is becoming a real category usually called AI visibility tracking, GEO (Generative Engine Optimization), or AI search monitoring.

The important distinction is that these platforms generally run a set of prompts against multiple AI assistants, capture the answers, and then analyze mentions, rankings, citations, competitors, and sentiment. They aren't literally crawling every private ChatGPT/Claude conversation—which isn't possible.

A few worth looking at:

• Ahrefs AI Visibility Checker / Brand Radar — tracks brand visibility across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, including which domains/pages get cited. ahrefs.com
• MentionScout — particularly close to what you're describing: runs buyer prompts across ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI surfaces, then shows which URLs were cited and which competitors appeared instead. mentionscout.comcitations.io
• GetMint — tracks mentions, citations, sentiment and share of voice across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. www.getmint.aiindexly.aitracemetry.com
• Citations.io — very citation-focused; it shows individual AI answers, what sources they cite, who gets cited instead, and competitor share of voice. citations.io
• Zumi — broader enterprise-style monitoring, supporting up to nine engines including ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, AI Overviews and AI Mode. www.zumihq.com
• Indexly — combines mentions, citation share, sentiment and even AI referral traffic. indexly.ai

If your specific goal is "show me everywhere AI is quoting us"

I'd separate the problem into three measurements:

1. Brand mentions

"ChatGPT mentioned Acme in 38% of relevant prompts."

2. Citations / source attribution

"ChatGPT cited acme.com/pricing 127 times, while Claude cited G2 84 times."

3. Competitive share of voice

"For 'best CRM for startups,' HubSpot appears 72% of the time, Acme 31%, Salesforce 24%."

The second one is particularly interesting because being mentioned isn't the same as being cited. A model might recommend your company while sourcing somebody else's article, review, Reddit thread, etc. Some newer tools are explicitly mapping that citation graph. mentionscout.comcitations.io

One caveat

If by "crawls AI assistant answers" you mean passively monitors all answers that real users receive, I don't think that's currently possible at scale. These services generally manufacture a representative monitoring dataset by repeatedly submitting predefined/customer-style prompts to the models and recording the responses. tracemetry.com

If you're asking because you're considering building this, there's actually an interesting gap between "AI SEO rank tracker" and a true AI brand/media monitoring system—where you continuously discover new prompts, capture every cited source, and build a searchable database of where AI is quoting your brand. That is a somewhat different product.

Yes. This is becoming a category often called AI visibility monitoring, GEO (Generative Engine Optimization) tracking, or LLM brand monitoring. These platforms generally work by running a library of buyer-style prompts across AI assistants (e.g., “best CRM for startups,” “alternatives to X,” “who are the leaders in category Y”), capturing the answers, and measuring whether/where your brand appears, how it is described, and what sources get cited. ahrefs.comwww.tryoras.com

Some platforms to look at:

A few things to know before choosing one:

• Most are not literally crawling private ChatGPT/Claude conversations. They usually simulate user queries against available AI endpoints, AI search products, or indexed responses. presenc.aiahrefs.com
• The valuable metric is usually not just “brand mentioned.” Better signals are:
  • Share of voice: how often you appear vs competitors
  • Position: first recommendation vs buried mention
  • Sentiment/framing: how the model describes you
  • Citation sources: which websites are causing models to mention competitors instead of you
  • Prompt coverage: which customer questions you win/lose
• Enterprise teams often combine these with traditional tools like SEO monitoring, PR tracking, and review monitoring because AI answers are heavily influenced by public web content.

If you are evaluating this for a brand/marketing team, I’d shortlist Ahrefs Brand Radar, Profound, Pineprompt, and Surva.ai depending on budget and reporting needs. If you’re building an internal tool, the core architecture is usually: prompt library → model querying → response storage → entity extraction → citation analysis → trend dashboard. pineprompt.comwww.surva.ai

Yes. This is now a fairly active category usually called AI visibility, LLM visibility, GEO (Generative Engine Optimization), or AI search monitoring.

The basic idea is exactly what you described: a platform runs a set of prompts against multiple AI assistants, captures the answers, and tells you whether your brand appeared, how it was described/ranked, what sources were cited, and which competitors appeared instead.

A few worth looking at:

• Ahrefs Brand Radar / AI Visibility Checker — probably the most established option if you already use Ahrefs. Tracks ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, with custom prompts and cited-domain/page analysis.
• Zumi — particularly broad coverage: claims up to 9 engines, including ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, AI Overviews, AI Mode and DeepSeek.
• DeepSmith — focuses on seeing the actual answers behind the metrics, plus mention rate, citation rate, share of voice and the sources being used.
• Citations.io — specifically oriented around monitoring brand mentions/citations across ChatGPT, Gemini, Perplexity and Claude.
• CitedSpy — covers ChatGPT, Perplexity, Gemini, Copilot, Claude and Grok, with competitor/share-of-voice tracking.
• Seerly — useful if you want to inspect the full AI response, not just a visibility score.
• Rankr — tracks visibility, position and sentiment across ChatGPT, Claude, Perplexity and Gemini.

One important distinction

There are actually two different products hiding under your question:

1. "Does AI mention my brand?" monitoring

You give the system prompts such as:

"What's the best CRM for small law firms?"

It periodically asks several models and records:

ChatGPT → Brand X #2
Claude → Brand X #4
Gemini → not mentioned
Perplexity → Brand X #1

That's what most of these platforms do. deepsmith.ai

2. "Show me everywhere AI is already quoting my brand"

This is more interesting and harder.

You'd want to discover the prompts people are actually asking, then capture the answers and identify:

• brand mentions
• exact claims made about your company
• products/features being attributed to you
• URLs/pages being cited
• third-party sites that are influencing the answer
• competitors mentioned instead
• changes in answers over time
• model-by-model differences
• geographic differences

Some platforms are getting closer to this, particularly Ahrefs and DeepSmith, but there isn't really a Google Alerts-equivalent that passively sees every AI conversation happening across ChatGPT/Claude/Gemini/etc. The fundamental limitation is that these companies don't give third parties a firehose of users' private assistant conversations. Monitoring products therefore have to generate/query their own representative prompts and track the resulting answers. tracemetry.com

If you're asking because you're evaluating this as a product opportunity, there's a pretty interesting gap here: "Google Alerts for how AI assistants talk about your brand" is somewhat different from today's mostly prompt-based AI rank trackers. I can break down the existing players, their pricing/business models, and where I think the whitespace is.

Yes. This is now a real category, usually called AI visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization).

A few platforms that are specifically built around what you're describing:

• GetMint — Tracks brand mentions, citations, sentiment and share of voice across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews. It repeatedly runs prompts so you can see changes over time. www.getmint.ai
• MentionHQ — Tracks mentions across ChatGPT, Claude, Gemini, Perplexity, DeepSeek and Grok, including the URLs/models are citing. www.mentionhq.com
• Citations.io — Particularly focused on citation intelligence: which answers mention you, which URLs get cited instead, and which sources/models are driving your visibility. citations.io
• ViAudit — Monitors ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Copilot and Grok, with buyer-prompt testing and visibility scoring. www.viaudit.com
• Ahrefs AI Visibility Checker — A useful option if you're already in the Ahrefs ecosystem; it checks visibility across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. ahrefs.com
• Elmo — Interesting if you want something open-source/self-hosted. It tracks mentions, competitors and cited sources across several AI answer engines. www.elmohq.com

One important distinction

There are actually two different products hiding inside your question:

1. "Does AI recommend/mention my brand?"
These tools run hundreds of prompts such as:

"What's the best project-management software for a 50-person company?"

…and record whether ChatGPT, Claude, Gemini, etc. mention your brand, where you rank in the answer, sentiment, competitors, etc.

2. "What sources are AI models quoting/citing about my brand?"
This is more interesting if you're trying to understand why the models know about you.

For example:

The better platforms let you drill into those underlying citations and identify which third-party sites are repeatedly influencing AI answers.

If by "crawls AI assistant answers" you mean something slightly different—a platform that continuously discovers all naturally occurring mentions of your brand across AI answers, rather than just running a predefined set of prompts—that's a more specific capability, and I can dig into which products actually do that versus simply generating test prompts.

Yes. This is now a real category, usually called AI visibility, answer-engine optimization (AEO), or GEO (generative engine optimization).

The closest match to what you're describing is Profound. It queries the consumer-facing versions of ChatGPT, Claude, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, Grok, DeepSeek, and others, then analyzes the responses for:

• Brand mentions — whether your brand appears
• Citations — which websites/pages the AI cites when talking about you
• Share of voice — how often you're mentioned vs. competitors
• Sentiment/positioning — what the models say about you
• Prompt-level results — the actual questions and answers producing those mentions
• Competitor comparisons — who gets recommended instead of you

Importantly, Profound says it captures responses from the front-end experiences rather than simply using model APIs, which is closer to what an actual customer sees. help.tryprofound.comgumshoe.aiwww.rank.aiwww.getmint.ai

Other platforms worth looking at

One important distinction

There are actually two different products hiding inside your question:

1. "Does AI mention my brand?"
You give the platform a set of prompts like:

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

It runs those prompts against multiple models and records whether/where you're mentioned.

2. "Across all AI answers happening in the wild, where is my brand being mentioned?"
That's much harder. You'd need access to enormous volumes of real AI conversations. Profound is trying to address this too: it says its Prompt Volumes dataset contains 400M+ real user conversations, while its Answer Engine Insights can run tracked prompts directly against the consumer AI experiences. www.tryprofound.com

So if you're thinking about building a product in this space, the interesting moat isn't just "crawl ChatGPT answers." The harder/valuable layer is:

AI answer → brand/entity extraction → exact citation → source URL → prompt/topic → model → competitor mentions → historical trend

That gives a brand something much more actionable than a simple "you were mentioned 37 times" counter.

If you're asking because you're considering building this, I can also break down what the existing platforms do, where their data comes from, and what whitespace is still available for a new entrant.

Yes. There’s a growing category usually called AI visibility / LLM visibility / AEO (answer-engine optimization) platforms. They repeatedly run customer-relevant prompts through multiple AI assistants, capture the answers, and tell you whether your brand was mentioned, ranked, or cited—and which sources the models used.

A few worth looking at:

• Profound — enterprise-oriented, with broad AI-search monitoring and competitive intelligence.
• Peec AI — focused on tracking brand visibility/share of voice across AI search.
• Otterly.AI — relatively accessible option for monitoring mentions and citations across AI platforms.
• Indexly — tracks mentions, citations, sentiment and AI referral traffic across ChatGPT, Claude, Gemini, Perplexity, Grok and AI Overviews. indexly.ai
• Ahrefs AI Visibility Checker — useful free starting point; it checks ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews and shows mentions and cited domains/pages. ahrefs.com
• Citations.io — particularly close to your wording: it shows the actual AI answers, what brands are mentioned, and which URLs are being cited across ChatGPT, Gemini, Perplexity and Claude. citations.io

One important distinction

If by "where our brand is being quoted" you mean "show me the exact third-party websites/articles that AI assistants are using to substantiate or recommend our brand," you want a tool with source/citation-level tracking, not merely an "AI visibility score."

For example, the useful dataset would look something like:

Prompt: "Best project-management software for agencies?"
Model: ChatGPT
Brand: Acme
Mention: Yes
Position: #2
Citation: example.com/comparison/project-management-tools
Other cited sources: G2, Capterra, Forbes
Competitors mentioned: Asana, Monday, ClickUp
Date: Aug. 17, 2026

That lets your content/PR team answer the much more actionable question: "What does AI need to see on the web before it starts citing us?"

There are also newer tools such as BrandCited claiming to monitor nine AI platforms and show exactly where brands get cited.

If you're evaluating this as a product category / thinking about building one, I can also break down what Profound, Peec, Otterly, Scrunch, etc. actually collect, how they query the models, and where the current products have gaps.

Yes. This is an emerging category usually called AI visibility, LLM visibility, GEO (Generative Engine Optimization), or AI citation monitoring.

A few platforms that do essentially what you're describing:

• Gumshoe — monitors brand visibility, recommendations, sentiment, and competitors across ChatGPT, Gemini, Claude, Perplexity and other AI models. It also tracks changes over time. gumshoe.ai
• Nightwatch AI Brand Monitoring — tracks when ChatGPT, Claude, Gemini, Perplexity and Copilot mention your brand, including competitor mentions and sentiment. nightwatch.io
• Ahrefs AI Visibility Checker — particularly useful for seeing which AI answers mention your brand and which domains/pages are cited alongside it. It covers ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. ahrefs.com
• BrandCited — specifically positions itself around finding where AI cites your brand, with live probes across multiple AI platforms. www.brandcited.ai
• GetMint — runs your tracked prompts across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews and measures mentions, citations, sentiment and share of voice. www.getmint.ai
• Citations.io — very focused on the exact "show me the receipts" use case: which prompts mention you, whether you're cited, who gets cited instead, and what the underlying sources are. citations.io

One important distinction

Most of these don't literally crawl all conversations happening inside ChatGPT/Claude/etc. That's generally not possible because those conversations aren't publicly observable.

Instead, they run a controlled set of prompts against the models on a recurring basis, capture the answers, and analyze:

Prompt → AI answer → brand mention → recommendation/ranking → cited URLs → competitors → sentiment

For example, you might track:

"What are the best payroll platforms for a 100-person company?"

Then see:

That's probably the closest match to what you're asking.

If you're evaluating this as a product category, I'd pay particular attention to whether a platform gives you the raw AI answer + exact citation + prompt + model + timestamp, rather than just a proprietary "AI visibility score." The former gives you actual evidence you can act on.

If you tell me what your brand does / your industry, I can also identify the 3–5 platforms I'd shortlist and compare them on model coverage, prompt volume, citation tracking, historical data, API access, and pricing.

Yes — this is becoming a distinct category usually called AI visibility, GEO (Generative Engine Optimization), or AI answer monitoring.

A few platforms already do almost exactly what you’re describing:

• Ahrefs AI Visibility / Brand Radar — tracks how brands appear across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews, including the domains/pages cited alongside your brand. ahrefs.com
• Gumshoe — monitors brand visibility and sentiment across ChatGPT, Gemini, Claude, Perplexity and others, with competitor and persona analysis. gumshoe.ai
• GetMint — tracks mentions, citations, sentiment and share of voice across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. www.getmint.aibourd.dev
• Nightwatch Citation Intelligence — particularly interesting if you're coming from SEO; it connects AI citations with the underlying search rankings. nightwatch.io
• Bourd — broader model coverage: ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Meta AI, Google AI Mode/Overviews, etc. It tracks mentions, citations and share of voice. bourd.dev
• Citations.io — very directly focused on seeing which AI answers cite you, across ChatGPT, Gemini, Perplexity and Claude. citations.io

One important distinction

If by "crawls AI assistant answers" you mean:

"Show me every time an AI assistant mentions our company, what it said, what source it cited, and which competitor/source it used instead."

Then yes, there are products for this.

But most of them don't literally crawl the universe of user conversations. They generally create a library of commercially relevant prompts, run those prompts against the models/APIs on a schedule, and analyze the resulting answers. For example, MentionHQ explicitly describes sending configured prompts to multiple AI platforms and analyzing the responses. gumshoe.ainightwatch.iowww.mentionhq.com

So the data is closer to "systematic monitoring of AI answers" than "Google Alerts for every ChatGPT conversation."

If you're evaluating this as a potential product/company idea, there is still an interesting gap: the basic "AI visibility dashboard" is getting crowded, but citation intelligence + historical answer corpus + discovery of unexpected mentions + attribution of which web sources caused the model to mention the brand is considerably more differentiated.

Yes. What you’re describing is now generally called AI visibility / AI search monitoring / GEO tracking: platforms repeatedly run customer-like prompts across AI assistants, capture the answers, and identify brand mentions, rankings, citations, competitors, and sentiment.

A few worth looking at:

• OtterlyAI — probably one of the more established options. Tracks ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot and Claude, with prompt-level answers, brand mentions, and domain citations. otterly.ai
• GetMint — tracks mentions, citations, sentiment and share of voice across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. otterly.aiwww.getmint.ai
• Indexly — interesting if you want mentions + citations + sentiment + actual AI referral traffic, across ChatGPT, Claude, Gemini, Perplexity, Grok and AI Overviews. indexly.ai
• MentionHQ — monitors ChatGPT, Claude, Gemini, Perplexity, DeepSeek and Grok, including the actual URLs cited by models. www.mentionhq.com
• Citations.io — particularly focused on "where are we being cited?" and shows the answers, sources and competitors across ChatGPT, Gemini, Perplexity and Claude. citations.io

The important distinction

There are actually two different products hiding in your question:

1. AI answer monitoring

"Ask 500 questions about our category every day and tell me when ChatGPT/Claude/Gemini/Perplexity mentions or cites us."

That's what the products above primarily do.

2. AI crawler/source monitoring

"Tell me when GPTBot/ClaudeBot/etc. actually crawls our website, what pages it reads, and whether those pages subsequently get cited in answers."

That's a different and harder problem. For example, MentionHQ explicitly offers AI-bot tracking, while some competitors focus solely on answer monitoring. www.mentionhq.com

If you're asking because you're considering building this as a product, there's still an interesting gap: the really valuable system would connect the chain:

your content → AI crawler visits → model/source ingestion → AI answer → brand mention → citation → competitor citation → referral

Most current tools are strongest in the last 2–3 steps, rather than proving the entire causal chain.

If you tell me whether you're looking to buy one or thinking about building one, I can map the competitive landscape and tell you where the whitespace is.

Yes. The category is generally called AI visibility tracking, GEO (Generative Engine Optimization) monitoring, or AI answer/mention tracking.

A few platforms doing essentially what you described:

• Citations.io — tracks whether/how your brand appears in ChatGPT, Gemini, Perplexity, and Claude, including the sources those systems cite, competitor share-of-voice, and hallucination/misattribution alerts. citations.io
• Ranqo — tracks brand visibility across ChatGPT, Claude, Perplexity, Gemini, and Grok, including position, sentiment, and citation sources. ranqo.ai
• MentionGEO — monitors ChatGPT, Claude, Gemini, Google AI, and Perplexity, with competitor comparisons and source/citation analysis. mentiongeo.ai
• Surva.ai — particularly interesting if you care about which web pages are causing the AI to mention you. It tracks prompts, mentions, competitor gaps, and citation URLs/domains. www.surva.ai
• Menra — more enterprise-oriented, claiming coverage of nine engines, including ChatGPT, Perplexity, Claude, Gemini, Copilot, Grok, DeepSeek, Meta AI, and Google AI, with answer-level citation mapping. www.menra.ai

The important distinction

There are actually two different products hiding inside your question:

1. "Does AI mention my brand?"
They run a predefined set of prompts such as:

"What's the best CRM for a 50-person company?"
"What are the best alternatives to Salesforce?"
"Which accounting software should a startup use?"

…and repeatedly query different AI engines, then measure mention rate, ranking/order, sentiment, competitors, and share of voice.

2. "Where is AI getting its information about my brand?"
This is the more interesting citation intelligence layer. It tells you something like:

ChatGPT mentioned Acme in 37% of tracked answers.
62% of those answers cited G2.
31% cited Reddit.
18% cited TechCrunch.
Your own site was cited only 4%.

That's much closer to what I think you're asking by "show where our brand is being quoted."

And there is a significant measurement problem: AI answers are stochastic. The same prompt can produce different answers/citations at different times, so a good platform should repeatedly sample prompts rather than treat one response as ground truth. Recent research specifically finds substantial variability in citation rankings across repeated AI searches. arxiv.org

If you're evaluating this as a product opportunity

I'd pay particular attention to the second layer. The market is increasingly crowded with "AI visibility score" dashboards, but there's a potentially more valuable question:

"Why did the model mention my competitor instead of me, and what sources caused that?"

That means mapping:

Prompt → Model → Answer → Brand mention → Position → Sentiment/claim → Citations → Source/domain → Competitor → Change over time

That's much more actionable for a brand/PR/SEO team than simply saying "your AI visibility score is 43."

If you're thinking about building something in this space rather than buying one, I can also map out the current competitive landscape and identify what appears to be missing from these products.

Yes. This is an emerging category usually called AI visibility tracking, Generative Engine Optimization (GEO), or Answer Engine Optimization (AEO). These tools generally work by running a library of prompts across AI assistants, capturing the responses, and measuring whether/where a brand appears, how it is described, which competitors appear, and which sources are cited. mentiongeo.ai

Some platforms in this space:

• Profound — enterprise-focused AI visibility analytics; tracks brand presence in AI-generated answers and helps teams understand how they appear in generative search.
• MentionGEO — tracks mentions across ChatGPT, Claude, Gemini, Google AI, and Perplexity, with competitor comparisons and citation/source analysis. mentiongeo.ai
• GetMentioned AI — monitors brand mentions across ChatGPT, Gemini, and Perplexity, including prompts and visibility scoring. www.getmentioned.co
• PromptRush — tracks how AI platforms describe and position brands, including citation intelligence. www.promptrush.aiwww.getmentions.ai
• PromptTrack — focuses on tracking brand mentions and share of voice across ChatGPT, Gemini, Perplexity, and other models. promptrack.cloud
• MentionHQ — provides AI visibility scores and model-by-model tracking. www.mentionhq.commentiongeo.ai

A few things to watch for when evaluating them:

1. Model coverage
   • Does it include ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, Google AI Overviews, etc.?
   • Some only monitor a subset. www.mentionhq.commentiongeo.ai

2. Actual answer capture
   • Better tools store the exact AI response, not just “brand mentioned: yes/no.”
   • You want to see where you appeared (position #1 recommendation vs buried in a list), context, and sentiment.

3. Citation/source tracking
   • The valuable insight is often not just “AI mentioned us,” but “AI mentioned us because it cited these 12 articles, reviews, Reddit threads, or directories.”
   • Several platforms now include citation intelligence. www.promptrush.aiwww.getmentions.ai

4. Prompt strategy
   • The strongest systems let you define buyer-intent prompts, e.g.:
     • “best CRM for startups”
     • “alternatives to [competitor]”
     • “software for enterprise security teams”
   • Then they repeatedly measure share of voice.

If you’re evaluating this for a brand/marketing team, I’d separate the market into:

• SEO-suite extensions (adding AI visibility to existing SEO workflows)
• AI-native monitoring tools (built specifically around LLM answers)
• Enterprise brand intelligence platforms (dashboards, governance, competitive tracking)

The category is still early, so I’d prioritize tools that let you export raw responses and prompts rather than only giving a proprietary “AI visibility score.”

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

These platforms repeatedly run prompts against multiple AI assistants and record whether your brand appears, how it’s described, which competitors appear, and what sources/URLs the models cite.

A few worth looking at:

• Profound — enterprise-focused AI visibility monitoring; tracks brand presence and how AI search engines represent you.
• Peec AI — tracks brand visibility across AI search and compares you with competitors.
• AthenaHQ — AI visibility analytics and competitive benchmarking.
• Otterly.AI — monitors brand mentions in AI-generated answers.
• urlCitations.ioturn0search4 — particularly interesting if you care about citations: it shows when ChatGPT, Gemini, Perplexity and Claude mention you and which sources they cite. citations.io
• urlSurva.aiturn0search2 — tracks ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews, including prompts, mentions, competitors and cited URLs. www.surva.ai
• urlMentionGEOturn0search6 — focused specifically on how AI answers talk about your brand, competitors, and category. mentiongeo.ai
• urlIntendityturn0search3 — tracks ChatGPT, Claude, Gemini, Perplexity and Grok, with model/source/competitor views. www.intendity.com

The important distinction

There are actually two different products hiding inside your question:

1. "Does the AI mention my brand?"

Example:

Prompt: "What's the best project management software for a 20-person startup?"

Then track:

That's what most AI-visibility platforms do.

2. "Where did the AI get the information about my brand?"

This is arguably more interesting. You want to know:

ChatGPT mentioned Acme → based on example.com/review, Reddit, G2, Forbes, etc.

Then you can see which third-party sources are shaping the model's perception of your brand. Platforms such as Surva explicitly advertise source/citation tracking. www.surva.ai

And this is becoming a meaningful marketing channel: recent research found that AI recommendations can subsequently increase brand-specific searches and visits, meaning an AI mention can create exposure that traditional referral analytics don't capture cleanly. arxiv.org

If you're thinking about building one

There is definitely a product opportunity here, but I wouldn't build merely "Google Alerts for ChatGPT."

The more valuable product is:

Prompt → AI answer → brand mentions → competitor mentions → citations/sources → historical changes → recommended action

For example:

You lost visibility for "best CRM for startups"

Last month: HubSpot #1, Acme #2
This month: HubSpot #1, Salesforce #2, Acme absent

Why?
4/5 models began citing a newly published comparison article that doesn't mention Acme.

Action:
Get Acme included in X, Y and Z sources / improve these pages.

That's much closer to an "AI brand intelligence platform" than a monitoring tool.

One caveat: AI answers aren't deterministic. The same prompt can produce different brand lists across models and even across repeated runs, so a credible platform needs to run prompts repeatedly and report confidence/distribution rather than treating one answer as "the ranking." Recent multi-model research found substantial differences in which brands get recommended across models. arxiv.org

If you're asking because you're considering building this as a product, I can also map out the existing competitors, their pricing/features, and where there appears to be a gap in the market.

Yes. What you’re describing is now generally called AI visibility / GEO (Generative Engine Optimization) tracking: platforms repeatedly run prompts against AI assistants and record whether your brand is mentioned, recommended, or cited—and often which sources the model used.

A few worth looking at:

• urlAhrefs Brand Radarturn0search8 — tracks real AI-generated answers across ChatGPT, Gemini, Perplexity, Google AI surfaces, Copilot, Grok, etc.; lets you monitor custom prompts, competitors, and visibility gaps.
• urlCitations.ioturn0search2 — particularly close to your description: shows the actual answers, whether you're cited/paraphrased/omitted, competitors cited instead, and the underlying sources.
• urlGenwolfturn0search0 — tracks prompts across ChatGPT, Gemini and Perplexity, including mentions, citations, sentiment, and source sites.
• urlgeopsyturn0search1 — monitors ChatGPT, Gemini, Claude and Perplexity and analyzes brand/competitor mentions from real prompts.
• urlMentionGEOturn0search6 — tracks ChatGPT, Claude, Gemini, Google AI and Perplexity, including brand mentions, competitors and cited sources.
• urlHubSpot AI Visibilityturn0search4 — more enterprise/marketing-oriented, with visibility and competitor comparison across ChatGPT, Perplexity and Gemini.

But there's an important distinction

There are really two different products in this space:

1. "Does AI mention my brand?" monitoring

User prompt → AI answer → Did it mention Acme? → What competitors were mentioned?

This is what most GEO/AEO tools do.

2. "Where is AI getting my brand information from?" intelligence

User prompt → AI answer → citations → Reddit / NYT / G2 / your site / YouTube / etc. → Which sources caused the brand to appear?

This second one is arguably more interesting. arxiv.org

For example, you might discover:

And then underneath:

Why are you appearing?

• G2 review
• Reddit thread
• TechCrunch article
• your pricing page
• competitor comparison page

That gives you much more actionable information than a simple "AI visibility score."

One caveat: AI answers aren't deterministic, so a platform that tells you "your citation share is 18.4%" shouldn't be interpreted as an exact ground truth. Repeated sampling matters because the same prompt can produce different answers/citations over time. arxiv.org

If you're asking because you're thinking about building this, there's definitely a product opportunity here. The interesting wedge may be less "another AI visibility dashboard" and more a searchable database of AI answers + citation/source attribution across models, essentially Ahrefs/Semrush for what LLMs are saying about brands.

Yes. This is becoming a new category usually called AI visibility tracking, LLM visibility, AEO (Answer Engine Optimization), or GEO (Generative Engine Optimization). These platforms don’t “crawl” all private AI conversations (that isn’t possible); instead, they typically run a set of tracked prompts against AI systems, capture the answers, and analyze whether/where your brand appears, competitors mentioned, citations, sentiment, and ranking position. mention.sewww.surva.aiwww.mentionhq.com

Some platforms in this space:

• urlAhrefs AI Visibility Checkerturn0search5 — useful if you already use Ahrefs; checks brand mentions across AI platforms and shows topics/prompts and cited sources. ahrefs.com
• Semrush — has been expanding into AI visibility tracking as part of its SEO suite. www.reddit.com
• urlMention AI Visibility Toolturn0search1 — focused specifically on tracking how ChatGPT, Claude, and AI Overviews respond to industry queries and whether your brand appears. mention.se
• urlMentionGEOturn0search2 — tracks brand mentions across ChatGPT, Claude, Gemini, Google AI, and Perplexity, with competitor comparisons and source analysis. mentiongeo.ai
• urlSurva AI Visibilityturn0search4 — emphasizes mention monitoring, prompt discovery, citations, and competitor gaps. mention.sewww.surva.aiwww.mentionhq.com
• Profound AI visibility platform — aimed more at enterprise AI search monitoring and analytics. www.techradar.com

Typical dashboards show things like:

• “When someone asks best CRM for startups, is our brand mentioned?”
• Share of voice vs competitors
• Which models mention you (ChatGPT vs Claude vs Gemini vs Perplexity)
• Whether you appear as #1 recommendation, a secondary option, or not at all
• Which web pages/sources are being cited when you do appear
• Sentiment/context (“recommended because…” vs “criticized for…”)
• Prompt opportunities where competitors appear but you don’t mention.sewww.surva.aiwww.mentionhq.com

A few caveats:

• They generally sample and monitor prompts, not “crawl every answer users get.”
• Results can vary by model version, geography, personalization, browsing state, and time.
• The most valuable setup is usually a curated prompt set based on your buyer journey, not generic brand-name checks.

If you’re evaluating this for a company, the shortlist I’d look at depends on whether you need enterprise monitoring, SEO-team workflow, or a cheap API/dashboard to build internally.

Yes. The category is usually called AI visibility tracking, AI search monitoring, GEO (Generative Engine Optimization) tracking, or LLM visibility analytics. These tools don’t literally crawl every private AI conversation (they can’t access users’ chats), but they run controlled prompt tests against public AI assistants/models and track whether your brand appears, how it is described, and which sources are cited. www.surva.aiahrefs.com

Some platforms in this space:

• Profound — Enterprise-focused AI visibility/AEO platform; tracks how brands appear in AI answers and competitive intelligence around AI search.
• HubSpot AI Visibility (AEO) — Tracks brand visibility in AI answers and compares citation/mention performance across AI platforms. www.hubspot.comwww.surva.ai
• Ahrefs AI Visibility Checker — Checks brand mentions across AI systems and reports where brands appear and what sources are cited. www.surva.aiahrefs.com
• Surfer AI Visibility (Surva.ai) — Tracks mentions, prompts, competitors, and citations across ChatGPT, Perplexity, Claude, Gemini, and AI Overviews. www.surva.ai
• Searchinsight AI — Focused on AI search tracking, including visibility scores, prompts, citations, and competitor comparisons. www.searchinsight.ai
• Prism by SearchPrism — Combines search visibility with AI answer monitoring across major AI assistants. www.searchprism.io

Typical capabilities:

• Track prompts like “best CRM for startups” or “alternatives to [brand]”
• See whether your brand is mentioned
• Measure share of voice vs competitors
• Capture the exact AI response text
• Track citations/sources AI systems rely on
• Monitor changes over time
• Identify “citation gaps” where competitors appear but you don’t www.surva.ai

A few caveats:

• These are sampling systems, not surveillance. They cannot know what every user’s ChatGPT/Gemini/Claude session says.
• AI answers are stochastic, so good tools should run repeated tests and show trends rather than treating a single answer as definitive. arxiv.org
• The strongest ones are becoming closer to “SEO rank trackers for AI answers,” but the market is still young.

If you’re evaluating this for a brand/marketing team, I’d compare them on:

1. Which models they cover (ChatGPT, Claude, Gemini, Perplexity, Copilot, AI Overviews)
2. Whether they store the full answer + citations
3. Whether they let you define your own buyer prompts
4. Whether they benchmark competitors
5. Whether they provide actionable content recommendations rather than just a score

For an enterprise brand, I’d start by looking at Profound, HubSpot AEO, and Ahrefs; for a lighter-weight monitoring setup, Surva/SearchPrism-style tools are closer to a traditional rank tracker. www.surva.ai

Yes. This has become a new category of software, often called LLM visibility, AI search optimization, or Generative Engine Optimization (GEO). These platforms periodically query AI assistants (ChatGPT, Claude, Gemini, Perplexity, Copilot, etc.) with hundreds or thousands of prompts and report whether your brand appears, how it's described, and which sources likely influenced the answer.

Some of the more established options include:

• Profound — Tracks brand mentions across major AI assistants, monitors sentiment, compares competitors, and identifies which prompts surface your brand.
• Goodie — Focuses on measuring brand presence in AI-generated answers and identifying opportunities to improve visibility.
• Scrunch AI — Enterprise-focused monitoring of AI assistants with recommendations for improving discoverability.
• Peec AI — Tracks rankings and mentions across multiple LLMs, particularly for marketing teams.
• Otterly.AI — One of the earlier products in the space, monitoring how brands appear in AI search results over time.

Many traditional SEO platforms are also adding AI visibility features:

• Semrush
• Ahrefs
• Similarweb

These typically include dashboards for AI citations or AI search visibility alongside conventional SEO metrics.

What these tools actually measure

Most of them evaluate things like:

• Whether your brand is mentioned for a library of prompts
• Share of voice versus competitors
• Position in the answer (primary recommendation vs. mentioned later)
• Sentiment and messaging
• Which AI models mention you
• How results change over time
• The web sources and domains that are commonly cited

One important limitation

No platform can directly inspect the internal knowledge or training data of proprietary models like ChatGPT or Claude. Instead, they typically:

1. Generate standardized prompts.
2. Query multiple AI models repeatedly.
3. Record and compare the responses.
4. Aggregate trends into dashboards.

That means they're measuring observable AI outputs, not the models' internal representations.

If your goal is PR or marketing, these platforms can be quite useful. If your goal is technical benchmarking (for example, "how often does GPT-5.5 recommend us compared to Claude?"), they're currently the closest thing to an industry standard.

If you're building a startup in this space, there is still room for differentiation. Many existing products focus primarily on dashboards and reporting rather than explaining why a model chose (or omitted) a brand or providing concrete recommendations to improve visibility.

Yes. A new category of tools has emerged for exactly this purpose. They're often called AI search monitoring, LLM visibility, or AI brand intelligence platforms. They test prompts across assistants (ChatGPT, Claude, Gemini, Perplexity, Copilot, and others), track whether your brand appears, compare competitors, and identify which sources the models seem to rely on.

Some notable platforms include:

Most of these platforms provide:

• Prompt tracking across multiple LLMs
• Brand share-of-voice
• Competitor comparisons
• Citation/source analysis (what sites AI appears to be relying on)
• Alerts when your visibility changes
• Historical trends

There are a few caveats:

• ChatGPT responses can vary by user, model version, browsing status, memory, and location, so no platform can claim to show every answer users see.
• Most tools work by repeatedly querying the models with standardized prompts and aggregating the results.
• They measure representative visibility, not complete coverage.

If you're interested in building something yourself rather than buying a platform, many companies create internal systems that:

1. Maintain a library of hundreds or thousands of prompts.
2. Query multiple AI APIs on a schedule.
3. Extract mentioned brands, links, and citations.
4. Compute metrics like:
   • Share of voice
   • Citation frequency
   • Sentiment
   • Ranking position
   • Competitor overlap
5. Store results in a database for trend analysis.

This is becoming analogous to SEO rank tracking, except the "search engines" are AI assistants instead of traditional web search.

If your goal is marketing and SEO, these dedicated AI visibility platforms are likely the fastest route. If your goal is market intelligence or product analytics, a custom monitoring pipeline often provides more flexibility because you can define your own prompts, industries, and scoring.

Yes. The category is usually called AI visibility tracking, LLM visibility monitoring, or AI search analytics. These platforms don’t literally crawl every private ChatGPT conversation (that data isn’t available), but they typically run controlled prompt tests across models, capture answers, detect brand mentions/citations, and report where your brand appears versus competitors. www.searchinsight.aiwww.surva.aideepsmith.ai

Some examples:

• SearchInsight AI — tracks brand visibility across ChatGPT, Claude, Perplexity, Gemini, Grok, and AI search surfaces; focuses on mentions, prompts, competitors, and citations. www.searchinsight.ai
• Prism AI Visibility Tracking — monitors how brands appear in ChatGPT, Claude, Gemini, and Perplexity and combines AI visibility with search analytics. www.searchprism.io
• Ranqo AI — tracks AI brand mentions, rankings, sentiment, and citation sources across major assistants. ranqo.ai
• DeepSmith AI Visibility — focuses on mention rate, citation rate, share of voice, and the underlying AI answers. deepsmith.ai
• Surva AI Visibility — tracks mentions, competitor comparisons, prompts, and citation sources. www.searchinsight.aiwww.surva.aideepsmith.ai
• Menra AI — positions itself around large-scale tracking of AI answers across multiple engines and extracting who is mentioned and cited. www.menra.ai

A typical dashboard looks at things like:

• Mention rate: “When users ask ‘best CRM for startups,’ how often does our brand appear?”
• Position/ranking: “Are we the first recommendation or buried?”
• Share of voice: “How do we compare with competitors?”
• Sentiment/framing: “Does AI describe us positively, negatively, or neutrally?”
• Citation sources: “Which websites/content are causing AI models to mention us?”
• Prompt coverage: “Which buyer questions trigger our competitors but not us?” www.searchinsight.aiwww.surva.aideepsmith.ai

A couple of caveats:

• These tools measure sampled AI outputs, not all real user conversations. AI responses are variable, so good systems need many repeated tests rather than a single query run. arxiv.org
• If you mean “who is quoting our brand verbatim inside answers,” that is slightly different from “AI visibility.” You’ll want a tool that stores the full response text and source citations, not just a score. www.searchinsight.aiwww.surva.aideepsmith.ai

If you’re evaluating this for a brand/marketing team, I’d compare them on whether they support:

1. your exact prompt library,
2. competitor tracking,
3. raw answer exports,
4. citation/source attribution,
5. historical trend data,
6. API access.

Yes. This is becoming a category often called AI visibility tracking, LLM optimization (LLMO), Generative Engine Optimization (GEO), or AI search monitoring. Several platforms are built specifically to measure whether brands appear in answers from models like ChatGPT, Claude, Gemini, Perplexity, and others.

Some notable options:

Typical capabilities include:

• Prompt tracking: "When users ask best CRM for startups, does our brand appear?"
• Share of voice: percentage of AI answers mentioning your brand vs competitors
• Citation analysis: which websites, articles, reviews, or sources the models cite
• Sentiment: whether mentions are positive, neutral, or negative
• Model comparison: "ChatGPT recommends us, but Gemini doesn't"
• Change monitoring: alerts when AI answers shift after model updates

A few caveats:

• These tools usually do not crawl private ChatGPT conversations. They run controlled prompt tests against public AI interfaces/APIs and measure responses.
• Results are probabilistic because LLM outputs vary by prompt, location, account state, model version, and time.
• The more advanced products are moving from "rank tracking" toward influence tracking: understanding why a model recommends a brand (reviews, documentation, third-party mentions, structured data, etc.).

If you're evaluating this for a company, the shortlist I’d look at first is:

1. Profound — strongest for enterprise AI visibility analytics.
2. Scrunch AI — focused specifically on brand monitoring in LLM answers.
3. Peec AI / Otterly — more accessible for SEO and growth teams.

The emerging workflow is basically the AI-era equivalent of SEO rank tracking: "Where do we appear when millions of people ask AI assistants what to buy?"

Yes. A new category of products has emerged around AI visibility monitoring (sometimes called Generative Engine Optimization or AI Search Optimization). These platforms repeatedly query models like ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google AI Overviews with thousands of prompts, then track:

• Whether your brand is mentioned
• Whether your website is cited as a source
• Which