ChatGPT answers, unedited

Yes. What you’re looking for is usually called AI search visibility, AEO/GEO monitoring, or LLM visibility tracking. These platforms let you define realistic user prompts, run them across AI assistants/search engines, and inspect whether your company or specific URLs are mentioned/cited.

A few options worth looking at:

• otterly.ai — probably the closest match to your description. You can enter or discover prompts, run them across ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Copilot and Claude, and see the actual responses plus the URLs cited. Otterly AI Otterly
• peec.ai — focused specifically on AI-search analytics. It tracks prompts, mentions, competitors, and the sources/URLs cited by AI engines. It also exposes query fan-outs for some engines, which can help explain what searches contributed to an answer. Peec AI Peec AI
• Profound — an enterprise-oriented AI visibility platform that tracks prompts and source-level citations across AI search experiences. It tends to make more sense if you're doing this at substantial scale. Austin Heaton SEO Counselors
• Semrush AI Visibility / Brand Radar — useful if you already use Semrush and want AI visibility incorporated into a broader SEO workflow. Austin Heaton
• DIY testing — for a small number of prompts, you can maintain a spreadsheet of 20–100 representative questions and periodically run them through the relevant assistants, recording the answer, cited URLs, and whether your pages appeared. This can actually be useful as a control group alongside automated tools.

What I'd measure

Don't just measure "Did the AI mention our brand?" I'd track at least:

That's particularly important because the same prompt can produce different citations on different runs. A recent Otterly study, for example, found that citations were less stable than brand mentions across repeated measurements. Otterly

If your real goal is "Will AI cite our content?"

I'd prioritize a tool that lets you inspect the underlying answer and individual cited URLs, rather than one that gives you only an "AI visibility score." Otterly and Peec explicitly expose citation/source data. Otterly AI Peec AI

If you tell me what kind of content you publish (e.g. SaaS, publisher, research, ecommerce, documentation) and roughly how many prompts/pages you want to test, I can narrow this to the 2–3 tools that fit and explain what each can actually simulate.

Yes. What you’re looking for is generally called AI visibility / GEO (Generative Engine Optimization) tracking: software that runs a set of real-world prompts against AI assistants and records whether your company/content is mentioned, recommended, and cited as a source.

A few options worth looking at:

• tryprofound.com — enterprise-oriented AI visibility platform with broad engine coverage and source/citation analytics.
• peec.ai — tracks prompts across AI search engines and analyzes brand visibility, competitors, and sources.
• otterly.ai — focused on monitoring AI search visibility and tracking prompts over time.
• promptwatch.com — particularly relevant if you want to run prompts repeatedly and measure changes after publishing/updating content.
• citations.io — explicitly tracks whether AI assistants mention your brand and which pages they cite. Its documentation says it samples ChatGPT, Gemini, Perplexity, and Claude and stores the underlying answers and detected citations. Citations Citations
• citeprism.com — tracks mentions, recommendations, competitors, and the sources AI systems use across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, and Copilot. CitePrism

For your specific use case

I'd structure the test around citation attribution, rather than simply asking "does AI mention us?"

For example, create 50–200 prompts such as:

• "What are the best [category] tools for [use case]?"
• "How do I solve [problem]?"
• "What companies provide [service]?"
• "Compare [competitor] vs [your company]."
• "What are the most authoritative resources for [topic]?"
• "[Specific technical question your content answers]"

Then record:

The last two are particularly important because AI answers are nondeterministic. For example, Citations.io says it repeatedly samples the same prompts precisely because asking the same question can produce different brands/sources in different runs. Citations

If you tell me your website/content type and roughly how many prompts you want to test, I can narrow this to the 2–3 tools that fit and explain which one will actually show you the exact citations/URLs rather than just giving you an AI visibility score.

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

The key distinction is whether you want to simulate/run your own prompts or simply get aggregate visibility data.

Tools worth looking at

• citations.io — Runs customer-style prompts across ChatGPT, Gemini, Perplexity, and Claude and shows whether your brand is mentioned, paraphrased, or actually cited, including the specific URLs used. Citations
• serps.io — Particularly straightforward for your use case: run the same prompt across multiple AI engines and see whether your domain is named/cited. SERPs
• citlyze.com — Tracks buyer prompts, citations, competitors, and prompt-level results across six AI engines. Citlyze
• indexly.ai — Focuses heavily on prompt tracking and showing whether you're mentioned and how you compare with competitors on each engine. Indexly
• ahrefs.com — More useful if you also want large-scale benchmarking. Ahrefs says it analyzes hundreds of millions of search-backed prompts and measures mentions and citations. Ahrefs
• github.com — Interesting if you want something open-source/self-hosted. It tracks prompts, mentions, citations, competitors, and query fan-out across several AI engines. GitHub

For your specific question

If the workflow is:

“Here are 500 questions our prospective customers might ask. Run them against AI assistants and tell me whether our website/content gets cited.”

I'd look first at Citations.io, SERPs, Citlyze, or Indexly. They are designed around exactly that prompt → answer → citation workflow.

One important caveat: “the AI knows our content” and “the AI cites our content” are different measurements. You ideally want to capture at least:

1. Prompt
2. AI engine/model
3. Full answer
4. Whether your brand is mentioned
5. Whether your domain is cited
6. Which exact URL/page is cited
7. Competitor/source URLs cited instead
8. Date/time of the run
9. Results across repeated runs, because AI answers can vary

For example, a useful dashboard might tell you:

Prompt: “What are the best tools for X?”
ChatGPT: mentions you, cites your page
Perplexity: mentions you, cites competitor
Gemini: doesn't mention you
Claude: mentions you, no citation

That is considerably more actionable than a single “AI visibility score.”

If you tell me your company/site and roughly how many prompts you want to test (e.g. 50, 500, 10,000), I can compare the current tools on price, AI engines covered, prompt simulation, citation-level reporting, API access, and whether they actually run live prompts vs. use a pre-collected dataset.

Yes. The category you’re looking for is usually called AI visibility / AI search visibility / GEO (Generative Engine Optimization) software. These tools repeatedly run buyer-style prompts against AI assistants and record whether your brand appears, which competitors appear, and—critically—which URLs get cited.

A few worth evaluating:

• ahrefs.com — particularly interesting if you already use Ahrefs. It analyzes hundreds of millions of prompts across ChatGPT, Gemini, Perplexity, Copilot and Google AI surfaces, with mention/citation analysis.
• otterly.ai — lets you supply your own prompts and monitors them daily across AI search engines, including brand mentions and website citations. Otterly AI
• rank.ai — explicitly tracks your own prompts and reports brand mentions, citations, share of voice, and which domains are being cited instead. Rank.ai
• mentionscout.com — useful if you want the actual source behind each citation and competitor comparison; it tracks prompts across ChatGPT, Google AI, Gemini, Perplexity, Claude and Grok. MentionScout
• sincite.com — more focused on seeing exactly what models say about your brand, including the prompts and responses where you are or aren't mentioned.
• synectgeo.io — tracks prompts across ChatGPT, Gemini, Claude and Perplexity and distinguishes being mentioned from actually being cited. It also lets you provide your own prompts. SynectGEO

If your specific goal is “Will AI cite our content?”

I’d prioritize tools that expose the exact prompt → exact AI response → cited URLs, rather than tools that only give you an opaque “AI visibility score.”

For example, the useful test would look like:

Prompt: “What are the best [category] tools for a mid-sized company?”

Then you want to see something like:

That distinction is important: being mentioned ≠ having your content cited. Some tools measure both explicitly. Rank.ai SynectGEO

If you tell me your industry/site and roughly how many prompts you want to test (e.g. 50, 500, 10,000), I can narrow this down to the 2–3 best tools and compare pricing, prompt simulation, citation tracking, API access, and whether they actually query the live assistants versus using modeled/synthetic results.

Yes. What you’re looking for is generally called AI visibility / LLM visibility / GEO (Generative Engine Optimization) software. These tools let you define realistic user prompts, run them against multiple AI assistants, and measure whether your brand/content is mentioned, recommended, or actually cited as a source.

My shortlist

• citations.io — Particularly relevant to your question. It tracks prompts across ChatGPT, Gemini, Perplexity and Claude, and records the actual sources cited, including whether competitors are being cited instead. Citations Citations
• promptwatch.com — More of a full AI-search/GEO platform. It supports prompt tracking, brand visibility, competitor analysis and citation analysis across major AI engines. Promptwatch Promptwatch
• rank.ai — Good if you want to inspect individual prompts in detail. It tracks mentions/citations and provides conversation-level history and citation forensics. Rank.ai Rank.ai
• ahrefs.com — Useful for large-scale benchmarking. It analyzes AI visibility using hundreds of millions of prompts and covers ChatGPT, Gemini, Copilot, Perplexity and Google AI experiences. Ahrefs
• hubspot.com — Simpler marketing-oriented option for tracking your visibility and citations versus competitors in ChatGPT, Perplexity and Gemini. HubSpot
• genwolf.ai — Focuses on scheduled prompt monitoring, mentions, citations, competitors and source discovery across several AI engines. Genwolf

For your specific use case

If the question is:

“When someone asks an AI assistant questions in our market, does it use/cite our website or somebody else's?”

I'd prioritize Citations.io, Rank.ai, or Promptwatch.

The important distinction is that you don't just want a brand mention metric. You want the tool to record something like:

That last distinction—being mentioned vs. being cited—is crucial. A company can be prominently recommended by an AI while its own website never gets used as the supporting source.

I'd also use multiple runs of the same prompt, rather than judging from one answer, because AI answers can vary from run to run. Some platforms explicitly account for this by scheduling repeated checks. Rank.ai skayle.ai

If you tell me what kind of content/site you have and which assistants matter most (ChatGPT, Gemini, Perplexity, Claude, Google AI, etc.), I can narrow this down to the 3 best tools and compare their pricing, prompt simulation, citation tracking, API access, and whether they use real assistant interfaces vs. APIs.

Yes. The category you’re looking for is usually called AI visibility / AI search monitoring / GEO (Generative Engine Optimization) software. These tools let you define a set of prompts, run them against AI assistants/search engines, and track whether your brand is mentioned, which URLs get cited, and which competitors/sources appear instead. otterly.ai

Best options to look at

My first pick for your specific use case: OtterlyAI. It explicitly runs your prompt sets across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, then records mentions, rankings, sentiment and the specific URLs cited. otterly.ai

OtterlyAI

Profound is worth considering if you're doing this at enterprise scale and want deeper analytics/reporting. Current comparisons generally position it as one of the more sophisticated enterprise platforms. www.austinheaton.com

Profound

What I'd test

Don't just ask:

"Does AI mention our company?"

Build a prompt corpus of 50–500 questions such as:

• "What are the best [category] tools?"
• "What should I use for [specific problem]?"
• "Compare [competitor] vs [your company]"
• "What are alternatives to [competitor]?"
• "Who are the leading providers of [category]?"
• "What is the best [category] for a [specific customer type]?"
• Questions containing your product's actual use cases
• Questions where you expect a particular article/product page to be authoritative

Then measure separately:

1. Mention rate — does the assistant name you?
2. Recommendation position — are you #1, #5, etc.?
3. Citation rate — does it actually link to your domain?
4. Which URL gets cited — homepage vs. specific article/product page.
5. Citation competitors — whose content is being used instead?
6. Prompt coverage — which questions never surface you?
7. Change over time — does visibility improve after you publish/update content?

That distinction between being mentioned and actually being cited is particularly important; they're different metrics and some tools blur them together. www.austinheaton.com

If you tell me what kind of content/site you have (e.g. SaaS, ecommerce, publisher, B2B) and which assistants matter most (ChatGPT, Claude, Perplexity, Gemini, Google AI), I can narrow this to the 2–3 tools I'd actually buy and explain why.

If you mean software that generates realistic user questions, runs them against AI assistants, and measures whether your company/content gets mentioned or cited, the category is usually called AI visibility tracking, GEO (Generative Engine Optimization) monitoring, or AEO (Answer Engine Optimization) tools.

Some options:

For a more custom setup, companies often build an internal harness:

1. Create a library of realistic customer prompts:

• “What are the best tools for X?”
• “Compare A vs B”
• “Who are the leading vendors in this category?”
• “What should a company use for [problem]?”
• Run those prompts periodically against:

• ChatGPT
• Claude
• Gemini
• Perplexity
• Extract:

• Was our brand mentioned?
• Was our URL cited?
• Which competitor was cited instead?
• Which pages were used as sources?
• Did the answer accurately represent our product?
• Track changes after publishing new content.

For enterprise teams, I’d usually evaluate tools based on whether they provide the raw answer archive (the exact assistant responses), not just a visibility score. Scores can hide whether you were cited because of your own content, a third-party article, a directory listing, or a model’s prior knowledge. Citations.io Scrunch Help Center

If you tell me whether your goal is SEO/content optimization, brand monitoring, AI search compliance, or testing your own assistant, I can narrow this to the best-fit tools.

If you mean software that lets you enter realistic user prompts, run them against AI assistants, and measure whether your company/content appears as a cited source, you’re looking for AI visibility / Answer Engine Optimization (AEO) / Generative Engine Optimization (GEO) platforms. They typically track prompts, capture AI answers, and analyze mentions and citations. cloro

Some options:

For a typical workflow, you would:

1. Create a prompt set:

• “What is the best software for X?”
• “Compare vendors for Y”
• “Who are the leaders in Z?”
• “What tools should a company use for ___?”
• Run those prompts periodically against:

• ChatGPT
• Claude
• Gemini
• Perplexity
• Google AI Overviews (where available)
• Measure:

• Was your brand mentioned?
• Was your page cited?
• Which competitor was cited instead?
• Which content pages are earning citations?
• How does the answer change over time?

If you are building an internal testing system, you can also do this yourself using APIs (for example, sending a prompt library through different model APIs and storing outputs), then run citation extraction and comparison. The commercial tools above mainly add dashboards, crawling, competitive benchmarking, and historical tracking. The Business Rover

A useful distinction: these tools measure whether AI assistants cite your content, not whether the model has “memorized” your content. A model may cite a page because it can retrieve it at answer time, even if that page was never part of training data.

Yes. What you’re looking for is usually called AI visibility / AEO / GEO software: tools that run a controlled set of buyer prompts against AI assistants and report whether your company/content is mentioned, recommended, and actually cited as a source.

The strongest options I’d shortlist are:

• tryprofound.com — probably the best fit if you want enterprise-grade monitoring. It tracks prompts across multiple AI engines and digs into mentions and citations. Austin Heaton Ayzeo
• peec.ai — good for marketing teams/agencies that want to define prompt sets, compare competitors, and monitor AI visibility over time. Ayzeo Arbling
• otterly.ai — a relatively accessible option for tracking whether your brand appears in AI answers and which sources get cited. Otterly Arbling
• semrush.com — worth considering if you're already using Semrush; it integrates AI visibility with an existing SEO workflow. Austin Heaton
• ahrefs.com — particularly interesting for large-scale benchmarking: Ahrefs says its index uses 460M+ real prompts across ChatGPT, Gemini, Perplexity, Copilot and Google's AI surfaces. Ahrefs
• citations.io — more narrowly focused on exactly what you're asking: run customer questions through ChatGPT, Gemini, Perplexity and Claude and see whether your business is cited, paraphrased, or omitted. Citations
• citeprism.com — emphasizes showing the actual answer, the sources the assistant used, and your competitors alongside your citation performance. CitePrism

What I'd use for your specific goal

If your question is essentially:

“Here are 100 questions our prospective customers might ask. Show me what ChatGPT/Perplexity/Gemini would answer, whether they mention us, and whether they link to our pages.”

I'd start with Profound, Peec, or Otterly.

If the critical metric is specifically “Did the assistant cite our content?”, I'd give extra weight to Profound, Citations.io, and CitePrism, because you want URL-level citation data rather than a generic “AI visibility score.” The distinction matters: a model can mention your company without citing your website at all. Austin Heaton Citations CitePrism

One important caveat: these aren't traditional rank trackers. AI responses can vary from run to run, so you want a product that lets you inspect the underlying prompt + complete answer + cited URLs, rather than just giving you a single visibility percentage.

If you tell me your industry, approximate number of prompts, and which assistants matter (ChatGPT/Claude/Gemini/Perplexity/etc.), I can narrow this to the 2–3 best tools and compare their current pricing, prompt limits, citation tracking, and API/export capabilities.

Yes. What you’re looking for is generally called AI visibility tracking, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) software. These tools repeatedly run realistic customer prompts against AI assistants and record whether your brand appears, what the assistant says, which competitors appear, and—crucially—which URLs it cites.

Strong options

• tryprofound.com — Probably the strongest fit for a serious enterprise/content team. It tracks prompts across major answer engines, analyzes the sources being cited, and can identify opportunities to improve your content. Profound Profound
• citations.io — Particularly focused on the question you asked: “Are AI assistants actually citing our content?” It tracks prompts across ChatGPT, Gemini, Perplexity and Claude, with a citation map and verbatim answer archive. Citations Citations
• citlyze.com — Good if you want detailed prompt/citation intelligence. It shows which URLs and domains AI cites, compares owned vs. competitor sources, and tracks multiple AI engines. Citlyze Citlyze
• hubspot.com — Worth considering if you're already in HubSpot. It has prompt tracking, visibility/share-of-voice measurement, and citation analysis showing which domains/pages are driving AI visibility. HubSpot HubSpot Knowledge Base
• serps.io — More straightforward tracking: run the same prompts across ChatGPT, Claude, Gemini, Grok and Perplexity and record whether your domain gets mentioned/cited. SERPs
• ahrefs.com — Especially interesting for benchmarking. Ahrefs says its index is based on hundreds of millions of modeled prompts and covers ChatGPT, Gemini, Perplexity, Copilot and Google's AI surfaces. Ahrefs

For your specific use case

If the goal is:

“Give me 100 questions a prospective customer might ask an AI assistant, run them through several assistants, and tell me whether the answer cites our website versus competitors.”

I'd shortlist Profound, Citations.io, and Citlyze.

The important distinction is that you don't just want a brand mention/visibility score. You want citation-level data, ideally:

One caveat: AI answers are stochastic, so a single prompt run isn't a reliable measurement. The better platforms run prompts repeatedly and compare results over time. SERPs, for example, explicitly describes running multiple samples per prompt. SERPs

If you tell me what kind of content/site you have (e.g. SaaS, publisher, ecommerce, B2B, healthcare, financial) and roughly how many prompts you want to test, I can narrow this down to the 3 best tools and compare their pricing, AI engines, citation tracking, API access, and prompt-volume limits.

Yes. What you’re looking for is generally called AI visibility / answer-engine optimization (AEO) / GEO software. These tools let you define realistic buyer prompts, run them against AI assistants, and see whether your company/content is mentioned, recommended, and—crucially—cited as a source.

Best options

• otterly.ai — Probably the easiest starting point. You can supply a set of prompts and monitor them across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. It stores the answers and identifies the URLs cited. Otterly Otterly AI
• tryprofound.com — More enterprise-oriented. Strong choice if you need sophisticated monitoring, competitive analysis, and citation/source data across many answer engines.
• peec.ai — Good middle-ground for systematically tracking a large prompt set and comparing your visibility against competitors.
• scrunch.ai — Particularly interesting if you care not only about what assistants say, but also how AI crawlers access your site's content.
• semrush.com / ahrefs.com — Worth considering if you're already using one of these SEO suites; both have added AI-visibility capabilities. UX Continuum

For your specific question

I'd distinguish three things when evaluating the tools:

That distinction matters. A company can be mentioned frequently while its website is almost never cited. Some tools collapse those into one "AI visibility" score, which isn't ideal if your objective is specifically to get your content cited. Austin Heaton

A good testing setup

For example, you could give the software 100 prompts such as:

• "What are the best [category] platforms for a mid-sized company?"
• "How should a company choose between X and Y?"
• "What are the leading providers of [category]?"
• "What are the disadvantages of [category]?"
• "Which [category] tools integrate with Salesforce?"
• "What should I look for when buying [category] software?"

Then have it report:

Prompt → AI answer → brands mentioned → cited URLs → your domain cited? → competitor domains cited?

That is much more useful than simply asking ChatGPT, "Does my company show up?"

If I were choosing specifically for this use case, I'd start with Otterly for a relatively inexpensive experiment, and look at Profound if you need enterprise-scale measurement. Current comparisons put Otterly at the accessible end and Profound at the enterprise end, while Peec sits between them. 1001 SEO Media Baarely

If you tell me what kind of content/site you want to get cited (e.g. SaaS documentation, publisher, ecommerce, B2B research, healthcare, etc.), I can narrow this to the 3 best tools and explain exactly how I'd run the prompt/citation test.

Yes. What you’re looking for is generally called AI search visibility / GEO / AEO monitoring software. These tools let you give them a set of realistic user prompts, run those prompts against AI assistants/search engines, and see whether your brand is mentioned, whether your website is cited, which URLs are cited, and which competitors are cited instead.

Best options

• otterly.ai — probably the easiest place to start. You can define prompts and monitor them across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. It specifically reports domain citations and the exact URLs cited, as well as brand mentions and competitors. Otterly Otterly
• tryprofound.com — more enterprise-oriented and particularly useful if you want deeper AI-search intelligence, large prompt sets, competitive analysis, and reporting.
• peec.ai — another strong option for monitoring prompts and comparing AI visibility across brands.
• scrunch.ai — focused heavily on AI visibility, monitoring, and competitive intelligence.
• semrush.com — worth considering if you're already using Semrush; its newer AI-visibility capabilities add AI-search monitoring to the traditional SEO stack.

The core workflow is essentially:

Your target prompts → AI assistants → capture responses → identify mentions → identify citations → compare against competitors → track changes over time

For your particular question — "Will AI assistants cite our content?" — I would prioritize a tool that exposes the actual cited URLs, not just a proprietary "AI visibility score." Otterly, for example, explicitly tracks every domain/URL cited and lets you drill into the individual prompt responses. Otterly

One important distinction

There are two different things you should measure:

1. Brand mention — "Our company is recommended."
2. Content citation — "The AI actually links to ourdomain.com/specific-page as a source."

The second is usually much more actionable if your goal is to determine whether your content itself is becoming a source for AI answers. A brand can be mentioned frequently while competitors' websites are the sources being cited. austinheaton.com

If you tell me what kind of content/site you have and which assistants matter most (ChatGPT, Gemini, Perplexity, Google AI Overviews, Claude, etc.), I can narrow this down to the 2–3 tools I'd actually evaluate, including pricing and what each one can/can't simulate.

Yes. What you’re looking for is generally called AI visibility / GEO (Generative Engine Optimization) / AEO software. These tools let you define realistic customer prompts, run them against AI assistants, and measure whether your company/content is mentioned, recommended, or actually cited as a source.

My shortlist

• tryprofound.com — probably the strongest choice if your main question is “Which of our pages are AI assistants citing, for which prompts, and what sources are beating us?” It tracks custom prompts and reports the citation sources, visibility, competitors, and changes over time. It also claims to capture results from the browser rather than relying solely on APIs. Profound Profound Profound
• ahrefs.com — particularly interesting if you already use Ahrefs. Its AI Visibility Index is built around hundreds of millions of modeled real-world prompts and covers ChatGPT, Gemini, Perplexity, Copilot and Google's AI experiences. You can also add custom prompts. Ahrefs
• serps.io — a straightforward option for running the same prompts across multiple assistants and recording whether your domain is cited. It currently covers ChatGPT, Claude, Gemini, Grok and Perplexity. SERPs
• citations.io — more focused specifically on citations. It runs customer-style questions through ChatGPT, Gemini, Perplexity and Claude and shows which answers cite you, paraphrase you, or omit you. Citations.io
• citatur.com — useful if you want a relatively simple visibility/citation audit. It tracks prompts across ChatGPT, Claude, Perplexity and Gemini and identifies the external domains those assistants cite instead of you. Citatur
• synectgeo.io — another option that lets you supply your own prompts and measures mentions, rankings and genuine third-party citations across major assistants. SynectGEO

If your exact goal is…

“I have 100 customer questions. Run them through ChatGPT/Claude/Gemini/Perplexity, show me the answers, and tell me whether my website was cited.”

I'd start with Profound or SERPs.

If you're more interested in “How visible is my brand compared with competitors across the entire AI-search landscape?”, I'd look at Ahrefs Brand Radar.

If you're primarily interested in citation intelligence—what pages/domains AI trusts and whether it cites ours, I'd look at Profound and Citations.io.

One important distinction: being mentioned isn't the same as being cited. A good evaluation should separately measure:

• Brand mentioned
• Brand recommended
• Your specific URL cited
• Which of your pages was cited
• Citation position/prominence
• Competitor mentioned instead
• Third-party sources cited instead
• Whether results change across repeated runs

That's important because AI responses are nondeterministic; one successful prompt isn't necessarily evidence that your content has durable visibility. Profound, for example, explicitly runs tracked prompts repeatedly/daily for this reason. Profound

If you tell me what kind of content/site you have and which AI assistants matter most, I can narrow this to the best 2–3 tools and compare pricing, prompt simulation, citation tracking, API access, and whether they show the raw AI answers.

Yes. What you’re describing is usually called AI visibility / AI search visibility / GEO (Generative Engine Optimization) software. These tools repeatedly run realistic prompts against AI assistants and record whether your brand/content is mentioned, recommended, or cited as a source.

Best options

• ahrefs.com — probably my first choice if you already use Ahrefs. It tests ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, and reports mentions, cited domains/pages, topics, competitors, and custom prompts. Its free checker is useful for an initial test. Ahrefs Ahrefs
• otterly.ai — particularly good for prompt-level monitoring. You give it the questions you care about, and it runs them across ChatGPT, Perplexity, Google AI, Gemini, Copilot and Claude, tracking mentions and the exact URLs being cited. Otterly OtterlyAI
• rank.ai — straightforward if your main question is “When someone asks X, does the AI mention us and cite our website?” It supports custom buyer prompts, daily checks, competitor share of voice and citation tracking. Rank.ai
• amicited.com — focused specifically on AI citations and visibility, with prompt tracking across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI and Grok. Am I Cited
• citedspy.com — useful for a quick competitive test; it runs live prompts and shows which brands and sources appear, including your site's citations. CitedSpy

What I'd use for your particular goal

If your objective is:

“Here are 100 questions our prospective customers might ask. Run those questions through AI assistants and tell me whether our pages get cited.”

I'd shortlist OtterlyAI, Ahrefs Brand Radar, and Rank.ai.

The important distinction is that being mentioned isn't the same as being cited. A good system should give you something like:

That last column is particularly valuable: you can discover which specific content AI systems are choosing as evidence, rather than merely getting an overall visibility score.

One caveat: these measurements aren't equivalent to a traditional Google ranking. AI responses are stochastic and different assistants retrieve and cite sources differently, so repeated measurements over time are much more meaningful than one-off prompt tests. Research on generative-search citation behavior also suggests that citation influence can differ substantially from simply counting citations. arXiv

If you tell me what type of content/company you have (e.g. SaaS, ecommerce, publisher, professional services) and roughly how many prompts you want to test, I can narrow this to the 2–3 tools I'd actually pay for, including pricing and which ones can test your own custom prompts.

Yes. What you’re looking for is generally called AI visibility / GEO (Generative Engine Optimization) software. These tools repeatedly run realistic customer prompts through AI assistants and record whether your brand/content is mentioned, which URLs are cited, and which competitors/sources get cited instead. Arbling UX Continuum

Best options

• tryprofound.com — Probably the strongest choice for an enterprise team. It focuses heavily on source-level citation intelligence, prompt tracking, competitors, and multiple AI surfaces. SEO Counselors Austin Heaton
• peec.ai — Good for marketing/SEO teams wanting a clean dashboard for prompts, visibility, competitors, and citations across AI engines.
• otterly.ai — A more accessible option for monitoring prompts and AI citations without going straight to an enterprise platform. UX Continuum
• ahrefs.com — Particularly interesting if you already use Ahrefs. It models 468M+ real prompts across ChatGPT, Gemini, Perplexity, Google AI surfaces and Copilot, rather than relying solely on synthetic prompts. Ahrefs
• citations.io — Specifically oriented around seeing which answers cite you, which merely mention you, and which leave you out, with competitor/source tracking. Citations.io
• synectgeo.io — Useful if you want to supply your own prompts; it supports up to 50 custom prompts and tracks ChatGPT, Gemini, Claude and Perplexity. SynectGEO

What I'd test for your use case

If your question is specifically:

“When someone asks an AI assistant a question in our category, does it use/cite our website?”

I'd prioritize these capabilities:

1. Custom prompt library — You should be able to enter your actual customer questions, not just keywords.
2. Exact response capture — See the complete AI answer, not merely a “visibility = 63%” score.
3. Citation URL extraction — Know which specific page from your site was cited.
4. Competitor citation tracking — See that AI cited Competitor X instead of your page.
5. Multiple runs over time — AI answers are stochastic, so a single prompt run isn't particularly meaningful.
6. Model/surface separation — ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode can behave quite differently.
7. Prompt-level reporting — “We're cited for 42% of these 100 questions” is much more actionable than a single domain-wide score.

For example, you could create a test set like:

“What are the best [category] platforms for a 500-person company?”
“Which [category] tools integrate with Salesforce?”
“What should I look for when choosing [category] software?”
“Compare Company A vs Company B vs Company C.”

Then have the system run those repeatedly and give you something like:

One important distinction: “AI mentions our brand” and “AI cites our content” are different metrics. If your goal is to prove that your actual content is being used as a source, make citation URL tracking a hard requirement rather than buying a tool based primarily on share-of-voice/mentions.

If you tell me your company/site, approximate number of prompts you want to test, and which assistants matter (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc.), I can narrow this to the 2–3 best tools and compare pricing/features.

Yes. What you’re looking for is generally called AI visibility tracking, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization) software. These tools let you define realistic buyer prompts, run them across AI assistants, and measure whether your brand/content is mentioned, recommended, and actually cited with a URL.

Best options

• otterly.ai — probably the easiest place to start. You can enter your own prompts and monitor them across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode and Copilot. It specifically tracks website citations, including which URLs were cited. Otterly Otterly
• tryprofound.com — more enterprise-oriented and particularly strong for large-scale prompt research, competitive intelligence, and understanding how AI search engines represent a brand. It's one of the leading enterprise platforms in this category. Cituna GeoHero
• peec.ai — a good middle-ground option for tracking prompts, visibility, competitors, and citations without going straight to an enterprise platform. Cituna
• scrunchai.com — geared toward more sophisticated AI-search monitoring and agency/enterprise use cases. GeoHero
• semrush.com — worth considering if you're already using Semrush and want AI visibility integrated with your conventional SEO workflow. Austin Heaton

The distinction I'd pay attention to

There are actually two different questions you may want the software to answer:

1. "Does the AI recommend/mention our company?"

• Example prompt: "What are the best payroll platforms for a 100-person company?"
• Measure: mention rate, position, share of voice, sentiment.
• "Does the AI cite our actual content?"

• Example: AI answers the question and links to your /guides/payroll-compliance article.
• Measure: citation rate, cited URL, competitor URLs cited, and which prompts produce the citation.

For your wording — "whether they'll cite our content" — #2 is particularly important. Some platforms give you a visibility score without showing enough of the underlying responses and URLs. I'd insist on being able to inspect the actual AI response + exact cited URL, not just a dashboard score. Otterly, for example, explicitly describes storing the answers and tracking every cited URL. Otterly

If I were evaluating this for your company

I'd make a test set of perhaps 50–200 realistic prompts, rather than prompts containing your brand name:

"What are the best [category] tools for a mid-sized company?"
"How should I choose between [category A] and [category B]?"
"What are the biggest problems with [category]?"
"Who are the leading providers of [category]?"

Then run those prompts across ChatGPT, Gemini, Perplexity and Claude, and record:

That last metric is particularly valuable: you can discover that AI knows your company but consistently cites someone else's content when answering questions in your category. That's a much more actionable SEO/GEO problem.

One caveat: these results are inherently variable because AI responses and their sources change over time. Recent research also shows substantial differences in which domains get cited across generative search engines, so I'd treat these tools as ongoing monitoring rather than a one-time benchmark. arXiv

My shortlist: I'd start with Otterly for a relatively accessible test, Profound if you're a larger organization and want deep enterprise intelligence, and Peec as another straightforward comparison point. Cituna Refine AI

If you tell me roughly how many prompts you want to test, which AI assistants matter (ChatGPT/Gemini/Perplexity/etc.), and your budget, I can compare the current tools specifically on prompt simulation + exact content citation tracking rather than generic "AI visibility."

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

These tools let you give them a set of realistic user prompts—e.g. “What are the best project-management tools for a 50-person agency?”—run those prompts across AI assistants, and measure whether your company/content is mentioned, which URLs are cited, and which competitors/sources are cited instead. Otterly Arbling

The ones I'd look at

• otterly.ai — probably the easiest starting point. It tracks prompts across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode and Copilot, including brand mentions and the specific URLs cited. Otterly Otterly
• tryprofound.com — stronger enterprise-oriented option, particularly if you want deep citation/source analysis and larger-scale prompt monitoring. Recent independent testing rated it highly for citation-data depth. LLM Visibility Tools LLM Visibility Tools
• peec.ai — another dedicated AI-visibility platform focused on tracking how brands appear in AI answers and comparing competitors.
• promptwatch.com — particularly interesting if you care about seeing what users actually encounter rather than just API-derived model outputs; it says it captures the real interfaces and citation ordering. Promptwatch
• citations.io — a newer, relatively inexpensive option specifically oriented around “are we being cited?” across ChatGPT, Gemini, Perplexity and Claude. Citations.io

For your specific use case

If your question is essentially:

“Give me 500 questions potential customers might ask AI, run them through ChatGPT/Gemini/Perplexity/etc., and tell me whether my website is cited.”

I'd start with OtterlyAI or Profound.

The important distinction is that you don't merely want brand mentions. You want a tool that records the actual underlying answer and its citations. For example:

That distinction matters because being mentioned isn't the same thing as being used as a source. Otterly, for example, explicitly tracks both mentions and the URLs AI engines cite. Otterly

One other caveat: results can vary substantially between AI systems with live web/search access and models answering from their existing knowledge. So when evaluating a vendor, I'd specifically ask how they execute the prompts and whether they capture the search/citation layer, rather than assuming an API call is equivalent to what a real user sees. Arbling

If you tell me your website/content type and which AI assistants you care about (ChatGPT, Claude, Gemini, Perplexity, etc.), I can narrow this down to the 2–3 best tools and compare their prompt simulation, citation tracking, API access, and pricing.

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

These platforms repeatedly run a set of user-style prompts against AI assistants and record whether your company/content is mentioned, whether your URLs are actually cited, which competitors are cited instead, and which sources appear in the answers. Austin Heaton Arbling

The ones I'd shortlist

• tryprofound.com — Best if you want a serious/enterprise-grade system. It focuses heavily on prompt monitoring, AI visibility, and source-level citation intelligence across multiple AI surfaces. SEO Counselors
• peec.ai — Good marketing-team option for tracking prompts, mentions, citations, competitors, and trends.
• otterly.ai — A good lower-cost starting point. It is specifically designed to monitor AI search visibility and citations and is relatively accessible for smaller teams. The Rank Masters
• scrunch.com — Particularly interesting if your question is “exactly which URLs are AI assistants citing?” Its citation reporting lets you drill from domain → URL → prompt → AI response. Scrunch Help Center Scrunch
• semrush.com — Worth considering if you're already using Semrush for traditional SEO and want AI visibility measurement alongside it. Austin Heaton
• ahrefs.com — Similar idea if Ahrefs is already part of your SEO stack; its Brand Radar product includes AI visibility/citation monitoring. UX Continuum

What I would test

If your specific goal is:

“Give me 100 realistic questions our prospects might ask ChatGPT/Perplexity/Gemini, run them, and tell me whether our website gets cited.”

I'd start with Otterly or Peec for a relatively lightweight setup, and Profound or Scrunch if you need deeper citation/source analysis.

The important distinction is that you don't just want a “brand mentioned” metric. You want the tool to distinguish:

1. Mentioned — “Company X is a good option.”
2. Recommended — the assistant actually recommends you.
3. Cited — your website/page appears as a source.
4. Citation prominence — your page is one of the important sources rather than citation #10.
5. Competitor citations — competitors' pages are being used instead of yours.
6. Prompt coverage — which questions cause you to appear or disappear.

That's important because a company can be mentioned by an AI assistant without its website being cited; current AI-visibility tools increasingly treat those as separate metrics. Austin Heaton

One other important caveat: these aren't perfect simulations of what every individual user will see. AI responses are nondeterministic, models change, and search-enabled versus non-search responses can behave very differently. So I'd use these tools for statistical monitoring over a standardized prompt set, rather than treating any single answer as definitive. Arbling

If you tell me what kind of content/site you have (e.g. SaaS, publisher, ecommerce, healthcare, financial, local business), I can narrow this to the 2–3 tools I'd actually buy and explain exactly how I'd construct the prompt test.

Yes. What you’re looking for is usually called AI visibility / GEO (Generative Engine Optimization) monitoring: software that sends realistic prompts to AI search/assistant systems, records the answers, and checks whether your brand/content is mentioned and whether your URLs are cited.

The strongest options I’d look at are:

• otterly.ai — probably the closest match to your description. You create or discover prompts, and it monitors them across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude and Copilot. It specifically reports brand coverage and website citations, and lets you inspect the sources AI used. Otterly Otterly
• peec.ai — focused on marketing teams. You define prompts and can see your AI visibility and the citations/sources appearing in answers. Peec AI
• tryprofound.com — a more enterprise-oriented option, with deeper source/citation intelligence and prompt monitoring across multiple AI engines. SEO Counselors Kitbase
• RankPrompt / similar AI-visibility trackers — worth considering if you mainly want a lightweight way to run lots of prompts and compare mentions/citations across competitors. Reddit

What I'd use for your specific question

If your question is essentially:

“If someone asks ChatGPT/Perplexity/etc. X, will it use or cite our website?”

I'd start with OtterlyAI or Peec.

For example, you could build a prompt set like:

• “What are the best [category] tools for a startup?”
• “How do I choose a [category] provider?”
• “What are alternatives to [competitor]?”
• “Which companies offer [specific capability]?”
• “What is [problem], and how can I solve it?”
• “What are the most trustworthy sources for [topic]?”

Then track, over time:

Prompt → AI answer → your brand mentioned? → your URL cited? → which page cited? → competitors cited? → citation frequency/share of voice

That's considerably more useful than simply asking an LLM whether it "knows" your content, because AI-search answers can involve live retrieval and citations rather than just the model's underlying training knowledge. Otterly explicitly distinguishes this search/retrieval behavior from conventional LLM monitoring. Otterly

If you tell me what kind of content/site you have (e.g. SaaS, publisher, ecommerce, professional services), I can also recommend the best 2–3 tools for your use case and explain exactly how I'd construct the prompt test suite.

Yes. What you’re looking for is generally called AI visibility / GEO (Generative Engine Optimization) software: tools that run a set of customer-like prompts against AI assistants, then record whether your brand/content appears, which URLs get cited, and which competitors are cited instead.

Strong options

• hubspot.com — probably the easiest starting point for a marketing team. It tracks prompts across ChatGPT, Gemini, and Perplexity and shows brand visibility, competitor share of voice, and the specific domains/pages cited. It currently starts at $50/month as a standalone product. HubSpot
• citations.io — particularly focused on your exact question: run real customer prompts across ChatGPT, Gemini, Perplexity, and Claude, then see whether you're cited, what competitors/sources were cited instead, and the citation URLs. Citations
• mentionscout.com — broader monitoring across seven AI surfaces, including ChatGPT, Google AI Overviews/Mode, Gemini, Perplexity, Claude, and Grok. It records the underlying citation URLs and can track competitors. MentionScout
• aiseop.ai — interesting if you specifically want prompt simulation before publishing content. Its simulation feature lets you test staged content and see who an LLM might cite. AISEOP
• capturai.io — offers a free audit and tracks visibility/citations across ChatGPT, Gemini, Perplexity, Grok and other AI engines. CapturAI
• chatcite.com — lightweight option for quickly testing buyer-intent prompts across ChatGPT, Claude, Gemini and Perplexity; its free audit runs 10 prompts. ChatCite

What I'd choose

If your question is specifically:

"Given 100 questions our prospects might ask AI, will the assistants cite our website/content?"

I'd shortlist Citations.io, MentionScout, and HubSpot AEO.

If you additionally want to experiment with draft content and simulate what an AI answer might look like before publishing, I'd investigate AISEOP.

One important caveat: these aren't equivalent to a traditional SEO rank tracker. AI answers are probabilistic and can change based on model, prompt wording, retrieval results, and timing. The better platforms therefore rerun identical prompts over time rather than treating a single answer as a definitive ranking. prominara.com seorav.com

If you tell me what kind of content/site you have (e.g. SaaS docs, publisher, ecommerce, B2B) and roughly how many prompts you want to test, I can narrow this to the 2–3 best tools and compare pricing, supported AI engines, prompt simulation, citation-level data, APIs, and whether they can test specific URLs/content.

Yes. What you’re looking for is generally called AI visibility / LLM visibility / GEO (generative engine optimization) software. These tools repeatedly run the kinds of questions your customers might ask and record whether your brand appears, which competitors appear, and—crucially—which URLs get cited.

A few good options:

• citations.io — Probably the closest match to your description. It tracks custom prompts across ChatGPT, Gemini, Perplexity, and Claude, and has a citation map showing the URLs/domains each engine cites. Citations.io Citations.io
• promptwatch.com — More mature enterprise-oriented monitoring. It tracks mentions/citations across multiple AI platforms and says it captures responses from the actual consumer interfaces rather than relying solely on API responses. Promptwatch
• ahrefs.com — Good if you're already using Ahrefs. It analyzes a very large prompt dataset and covers ChatGPT, Gemini, Perplexity, Copilot and Google's AI experiences. Ahrefs
• help.webflow.com — Interesting if your site is on Webflow. You specify the questions to monitor, and it runs them daily through ChatGPT, Claude, Gemini and Perplexity, including which sources get cited. Webflow Help Center
• citatur.com — Has a free audit that runs buying-oriented prompts across four major assistants and reports mentions, competitors and cited sources. Citatur
• menra.ai — Broader monitoring, with daily prompt execution across up to nine AI platforms and per-prompt citation/mention analysis. Menra

What I'd choose

If your specific question is:

“When someone asks an AI assistant questions about our category, does it use/cite our website—and what would we need to change to get cited more?”

I'd start with Citations.io or Promptwatch. They let you get down to the individual prompt and individual cited URL rather than giving you just a generic “AI visibility score.” Citations.io, in particular, explicitly separates being mentioned from actually being cited, which is an important distinction. Citations.io

One caveat: “simulating prompts” isn't necessarily the same as reproducing exactly what a real user sees. AI responses are nondeterministic, and different products may use APIs, search-enabled interfaces, or other collection methods. Repeated sampling is therefore important if you want a meaningful citation rate rather than a one-off result. Citations.io getaiso.com

If you tell me what kind of company/content you have, I can also recommend the best 2–3 tools for your use case and explain exactly how I'd test whether your content is being cited by ChatGPT, Perplexity, Gemini, and Claude.

Yes. What you’re looking for is generally called AI search visibility / LLM visibility / GEO (Generative Engine Optimization) software. These tools let you create a set of realistic user prompts, run them against multiple AI assistants, and track whether your company/content is mentioned, recommended, and actually cited.

Best options

• promptwatch.com — Probably the closest match if your priority is simulating real user prompts. It monitors ChatGPT, Gemini, Perplexity, Claude and other AI platforms, and says it captures the actual interfaces rather than relying solely on APIs. It tracks mentions, citations, competitors, and citation ordering. Promptwatch
• otterly.ai — Strong option for an ongoing monitoring program. You supply prompts (or have it discover them), and it runs them daily across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. It records the answers, mentions, competitors, sentiment and the URLs cited. Otterly OtterlyAI
• getveritas.io — Good if you specifically care about which pages are winning citations. It tracks ChatGPT, Perplexity, Gemini and Google AI Overviews and compares your citations/share of voice with competitors. Veritas
• amicited.com — Particularly interesting if you want to inspect the actual answers over time, rather than just receive a visibility score. It stores full responses and tracks mentions, citations, sentiment and competitors across several engines. Am I Cited
• peec.ai — Another established AI-search visibility platform; useful for prompt-level monitoring and competitive visibility across multiple models. A recent independent comparison ranked it highly for engine breadth and daily reruns. LLM Visibility Tools

What I'd choose

If your question is specifically:

"Here are 200 questions our prospective customers might ask. What would ChatGPT/Gemini/Perplexity answer, and when they answer, do they cite our website?"

I'd shortlist Promptwatch, OtterlyAI, and AmICited.

The important distinction is that you don't just want a brand mention score. You want the tool to preserve the full response + cited URLs, because:

• AI can mention your company without citing your site.
• It can cite a third-party page about you instead.
• It can cite a competitor instead of you.
• Different models can produce substantially different citation behavior.
• Even the same prompt can produce different citations on different runs, so repeated sampling matters. arXiv arXiv

For example, I'd want a dashboard that could show:

That distinction—mentioned vs. cited vs. cited as the evidence for the answer—is increasingly important. Recent research specifically argues that citation selection and the degree to which a cited page actually influences the generated answer are separate things. arXiv

If you tell me what kind of content/site you have and roughly how many prompts you want to test (e.g. 50, 500, or 5,000), I can narrow this down to the 2–3 best tools and compare their current pricing, model coverage, prompt simulation, citation tracking, API access, and reporting.

Yes. What you're describing is usually called AI search visibility, AI visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization) software.

These platforms let you define realistic buyer questions—e.g. “What are the best accounting platforms for a 50-person SaaS company?”—then run those prompts against AI search/answer systems and measure whether your company/content appears, which competitors appear, and which URLs get cited. Otterly Arbling

The ones I'd look at

• otterly.ai — Probably the easiest starting point. It supports prompt research and tracks brand mentions and website citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot. It can also show which pages are being cited. Otterly
• tryprofound.com — More enterprise-oriented. Strong if you want deep source/citation intelligence, large prompt sets, competitive analysis and reporting across multiple AI engines. SEO Counselors Bloomiro
• peec.ai — Good for marketing/SEO teams wanting to monitor prompts, competitors, mentions and citations across multiple AI engines. Kitbase Arbling
• ahrefs.com — Worth considering if you're already an Ahrefs customer; its AI visibility functionality can fit into an existing SEO workflow rather than introducing another standalone platform. UX Continuum
• semrush.com — Similar idea if you're already invested in Semrush's SEO ecosystem; its AI visibility tooling adds AI-answer monitoring to the traditional search stack. UX Continuum

What I'd choose

If your primary question is:

“When prospects ask AI assistants questions in our category, do they cite our website—and which of our pages do they cite?”

I'd start with Otterly.AI. It is specifically built around prompt tracking and citation monitoring and has a relatively low barrier to entry. Otterly

If you're doing this at enterprise scale—hundreds/thousands of prompts, many products/markets, competitive benchmarking and serious reporting—I'd evaluate Profound alongside it.

One important caveat: these tools are sampling a nondeterministic system, not measuring an absolute "AI ranking." Different sessions, personalization, location, model versions and whether an AI system is using live search can change the answer. Otterly itself notes that manual results can differ from its monitoring because of personalization/memory effects. Otterly

If you tell me what kind of content you have (e.g. SaaS website, publisher, ecommerce, B2B) and which AI assistants matter most, I can narrow this to the 2–3 tools I'd actually test and what metrics to compare.

Yes. What you’re looking for is usually called AI visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization) software. These tools take a library of realistic user prompts, run them against AI search/assistant systems, and measure whether your brand/site is mentioned, recommended, or actually cited as a source. Kitbase Sona

Strong options

• otterly.ai — probably the closest match to your description. You can define prompts, monitor them across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and see the actual URLs being cited. It also tracks competitors and citation/share-of-voice metrics. OtterlyAI Otterly
• tryprofound.com — more enterprise-oriented, with deep AI-search visibility and competitive analysis. Good if you need large-scale prompt monitoring and reporting.
• peec.ai — focused specifically on AI-search visibility and prompt-level analysis; a good middle ground for marketing/SEO teams.
• ahrefs.com — worth considering if you're already using Ahrefs. Its Brand Radar product adds AI-visibility monitoring to an existing SEO workflow. TechRadar
• semrush.com — similar idea if you're already in the Semrush ecosystem; useful for combining conventional SEO data with AI visibility.
• scrunchai.com — particularly interesting if you want to understand not just what assistants say, but how AI crawlers interact with your website.

For your specific use case

I'd evaluate them on these five capabilities:

Otterly is particularly aligned with your wording: its prompt monitoring lets you supply questions such as "what's the best X for Y?" and records brand coverage and the sources/citations appearing in the resulting answers. OtterlyAI OtterlyAI

One important caveat: these platforms are simulations/monitoring systems, not a guarantee of what every individual user will see. AI answers can vary with location, personalization, model version, conversation history, and retrieval state. Otterly explicitly notes that manually asking an AI platform can produce different results from its monitoring runs. Otterly

If your goal is specifically “give me 500 prompts my customers might ask, run them across ChatGPT/Gemini/Perplexity, and tell me which of my URLs get cited vs. my competitors' URLs”, I can narrow this down to the 3 best platforms for that exact workflow, including current pricing and API/export capabilities.

The category you’re looking for is usually called AI visibility tracking, AEO (Answer Engine Optimization), or GEO (Generative Engine Optimization) software. These tools run a set of user-like prompts against AI assistants, capture the answers, and analyze whether your brand/content appears, gets mentioned, or is cited. SynectGEO Citations.io

Some options:

For your specific use case — “simulate user prompts and see whether assistants cite our content” — I’d evaluate tools based on these capabilities:

1. Prompt library control

• Can you upload your own prompts?
• Can you group them by persona, funnel stage, product, or topic?
• Raw answer capture

• Does it save the exact AI response?
• Can you review changes over time?
• Citation extraction

• Does it distinguish: - your URL cited
• your brand mentioned but not cited
• competitor cited instead
• no attribution?
• Model coverage

• ChatGPT
• Claude
• Gemini
• Perplexity
• AI search products (where relevant)
• Repeatability

• Scheduled runs
• Same prompt set over time
• Historical comparisons

A lightweight approach is also possible: maintain a prompt test suite internally and run it periodically through the assistants you care about, recording:

• prompt
• model/version
• date
• answer
• cited URLs
• whether your pages appeared
• competitor sources

For a content or SEO team, I’d usually shortlist Profound, Citations.io, Frase, and Synect GEO first, then test them against a few dozen real customer prompts before committing. Profound Citations.io Frase SynectGEO

The category you’re looking for is usually called AI visibility tracking, AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), or LLM citation monitoring. These tools simulate real user questions, run them against AI assistants, and measure whether your brand/content appears or gets cited. SynectGEO PikaSEO

Some options:

For a content team trying to answer “will ChatGPT cite our pages?”, I’d look for these capabilities:

• Custom prompt libraries — e.g., “What is the best X for Y?” rather than only brand queries.
• Citation extraction — not just “mentioned/not mentioned”; you want the exact URLs AI assistants cite.
• Competitor comparison — which domains are being cited when yours is absent.
• Repeat testing — AI answers vary, so one-off tests can be misleading. Orem
• Multiple assistants — ChatGPT, Perplexity, Claude, Gemini, Copilot, etc., because citation behaviour differs by system. SynectGEO

If you’re building an internal process rather than buying a platform, a common setup is:

1. Create 50–200 real customer prompts.
2. Run them weekly through the target assistants.
3. Record: - answer text
4. cited URLs
5. whether your domain appears
6. competitor domains cited
7. changes after content updates

For enterprise SEO/content teams, tools like these are increasingly being used as an “AI search rank tracker,” but they measure citations and mentions, not a true ranking position (because AI answers are generated dynamically). backlynk.io

Yes. What you’re describing is generally called AI search visibility / AEO / GEO monitoring: you define realistic user prompts, run them across AI assistants/search engines, capture the answers, and measure whether your brand and URLs are mentioned or cited.

The two tools I’d look at first are:

• otterly.ai — probably the closest match to your description. You can enter your own prompts, monitor them across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Claude, and Copilot, and see brand mentions, the exact URLs cited, competitors, and prompt-level results. It can run prompts automatically on a recurring basis. Otterly Otterly
• tryprofound.com — a more enterprise-oriented option. It tracks custom prompts daily, captures AI answers and citation sources, and lets you analyze citation share by prompt, platform, topic, and competitor. It also has a large dataset of real AI-user prompts that can help you discover questions worth testing. Profound Profound

Which I'd choose

One important distinction: don't just measure whether an AI mentions your company. Measure whether it cites your actual content. For example, you might see:

Prompt: “What are the best X for Y?”
ChatGPT: recommends your company
Citation: competitor.com/article/123

That tells you your brand awareness is good but your owned-content citation isn't. Tools such as Otterly explicitly expose domain and URL-level citation data. Otterly Otterly

Also, results can legitimately vary between a tool and your own ChatGPT session because personalization, location, history, and other context can affect AI-search results. Otterly

If your primary goal is “simulate 100–1,000 customer prompts and find out exactly which of our pages AI assistants cite,” I'd start with OtterlyAI. If you're building a larger enterprise AEO program, I'd evaluate Profound alongside it.

Yes. What you’re describing is generally called AI search visibility / GEO (Generative Engine Optimization) monitoring: software sends realistic prompts to AI assistants, records the answers, and analyzes whether your brand/content is mentioned or cited.

Best options

Ahrefs currently offers one of the broadest approaches: its Brand Radar database contains hundreds of millions of search-backed prompts, while Custom Prompts let you specify the exact questions you care about and track responses across AI platforms. help.ahrefs.com

OtterlyAI is particularly close to your description. You give it prompts such as:

“What are the best [type of product] for [use case]?”

It repeatedly runs those prompts and reports brand mentions, domain citations, competitors, sentiment, and the actual response/citation details. help.otterly.ai

If your main question is “Will AI cite our website?”

I'd shortlist:

1. OtterlyAI — probably the most straightforward for prompt → answer → citation monitoring.
2. Ahrefs Brand Radar — best if you also want large-scale prompt discovery, SEO data, competitor analysis, and AI visibility research.
3. Profound — worth looking at if you're an enterprise and want deeper AI-search analytics.
4. Scrunch AI — interesting if understanding AI crawlers and citation sources is especially important.

A key distinction: “AI mentions us” and “AI cites our content” are different metrics. For example, an assistant might recommend your company but cite a newspaper, Reddit thread, or competitor comparison rather than your own site. Ahrefs explicitly separates mentions from citations, while Otterly reports domain citations at the prompt level. help.otterly.aiahrefs.com

If you tell me your website/content type and which assistants you care about (ChatGPT, Gemini, Perplexity, Google AI Overviews, etc.), I can compare the best 3–5 tools specifically for testing whether your pages get cited, including pricing and API/automation capabilities.

The category you’re looking for is usually called AI visibility tracking, LLM visibility monitoring, GEO (Generative Engine Optimization) tools, or AI answer engine optimization. These tools generate or accept user-like prompts, run them against AI assistants, and measure whether your brand/content is mentioned, recommended, or cited.

Some options:

For a content team trying to answer “Will ChatGPT/Claude/Gemini cite our articles?”, I’d evaluate tools based on these capabilities:

1. Custom prompt testing
   • Can you upload your own prompts?
   • Can you test exact customer questions (“best X software for Y”, “how do I solve Z”)?

2. Citation-level reporting
   • Does it show the exact cited URLs?
   • Does it distinguish:
     • brand mentioned
     • brand recommended
     • your page cited
     • competitor cited instead

3. Raw answer capture
   • You want the full AI response saved, not just a score.

4. Repeatability
   • Same prompt set run weekly/monthly so you can see movement.

5. Model coverage
   • At minimum: ChatGPT, Claude, Gemini, Perplexity.

If you are building this internally, a common architecture is:

• prompt library (real customer questions)
• API calls to LLM providers / answer engines
• response storage
• citation extraction
• scoring layer (“mentioned?”, “cited?”, “ranked above competitor?”)
• dashboard

For enterprise SEO/content teams, I’d shortlist TruSEO, SynectGEO, CitationWorks, and Viziquo for evaluation. For a quick proof-of-concept, the lighter audit tools are enough to validate whether your content appears at all. www.truseo.io

I can also give you a comparison of these tools by price, API availability, enterprise readiness, and whether they test actual citations vs just mentions.

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

The useful distinction is whether a product merely simulates answers or actually queries live AI/search systems.

Tools worth looking at

What I'd use for your specific goal

If your question is:

"Here are 500 prompts our potential customers might ask. How does each AI assistant answer, and does it cite our website or somebody else's?"

I'd start with OtterlyAI or Ahrefs.

You want the tool to capture at least these fields:

• Prompt
• AI engine/model
• Full response
• Was our brand mentioned?
• Was our domain cited?
• Which exact URL was cited?
• Which competitors were mentioned?
• Which third-party sources were cited instead?
• Position/prominence of our brand
• Change over time

That's more useful than simply asking an LLM to generate hypothetical answers. In particular, Otterly explicitly distinguishes its monitoring from an ordinary LLM response and analyzes the citations returned by AI search platforms. otterly.aiotterly.ai

One caveat: AI answers are stochastic and personalized, so don't treat a single prompt run as definitive. Tools that rerun the same prompts over time are considerably more useful for measuring whether your citation rate is actually improving. rank.ai, for example, explicitly uses daily checks for this reason. www.rank.ai

If you tell me what your company/content is about and which AI assistants you care about (e.g. ChatGPT + Gemini + Perplexity), I can narrow this down to the 2–3 best platforms and compare their pricing, prompt limits, live-vs-simulated methodology, API availability, and citation tracking.

The category you’re looking for is usually called AI visibility tracking, GEO (Generative Engine Optimization) software, or AEO (Answer Engine Optimization) platforms. These tools run a set of customer-like prompts against AI assistants, capture the responses, and measure whether your brand/content is mentioned or cited. nboundmarketing.com

Some options:

For your specific use case — “simulate user prompts and see whether assistants cite our content” — I’d look for these capabilities:

1. Custom prompt library
   • Add your real customer questions:
     • “What is the best X software?”
     • “Compare X vs Y”
     • “How do I solve [problem]?”
   • Run them repeatedly.

2. Citation capture
   • Not just “mentioned/not mentioned.”
   • You want:
     • cited URL
     • source title
     • citation position
     • competitor sources cited instead

3. Multi-model coverage
   • ChatGPT
   • Claude
   • Gemini
   • Perplexity
   • Copilot
   • Google AI Overviews/AI Mode (where available)

4. Prompt variance testing

AI responses are probabilistic; a single run can be misleading, so stronger systems measure repeated runs and trends rather than one answer snapshot. arxiv.org

If you’re building this internally, the basic architecture is:

Prompt dataset → LLM/API runs → response capture → citation extraction → URL/domain matching → dashboard

You can also do a lightweight version with:

• a spreadsheet of 100–500 customer prompts,
• APIs for the AI models,
• a script that extracts URLs from answers,
• a dashboard showing citation share.

For a marketing/content team, I’d shortlist Profound, Peec AI, Scrunch AI, and GEO Toolbox depending on budget and whether you care more about enterprise reporting or content optimization. geotoolbox.ainboundmarketing.com

Yes. What you’re looking for is generally called AI visibility / AEO / GEO monitoring software. These tools automatically run a library of realistic prompts against AI search/assistant systems and record whether your brand appears, whether your site is cited, which URL is cited, and how competitors compare.

My shortlist

Independent 2026 comparisons put Profound, OtterlyAI, Scrunch, AthenaHQ and Ahrefs among the leading options, although the products measure somewhat different things, so methodology matters. technologyadvice.com

For your specific question, I'd start with OtterlyAI or Profound

The workflow you want is roughly:

Prompt: “What are the best [type of product/service] for [use case]?”

Then automatically record:

• Did the assistant mention your company?
• Did it recommend you?
• Did it cite your website?
• Which specific page did it cite?
• What competitors were mentioned/cited?
• How frequently does this happen across hundreds of prompts?
• Does the result differ between ChatGPT, Gemini, Perplexity, Google AI Overviews, etc.?
• Is your content being cited, or are third-party sites describing you instead?

Otterly explicitly supports custom conversational prompts and tracks brand mentions, citation URLs, share of voice and sentiment across multiple AI engines. otterly.ai

Ahrefs is particularly interesting if you want to understand which domains and individual pages are being cited, rather than merely whether your brand was mentioned. Its Brand Radar also lets you add custom prompts. ahrefs.com

One important distinction

Don't buy a tool solely because it says it measures "AI visibility." Mention ≠ citation.

For example:

ChatGPT: “Acme is one of the leading providers...”
No link to Acme.com

versus:

ChatGPT: “Acme is one of the leading providers...”
[Acme.com/pricing](...)

The second is much closer to what you're trying to measure. Some platforms report both separately. ahrefs.com

If you tell me what kind of content/site you have (e.g. SaaS, publisher, ecommerce, healthcare, financial, B2B), I can narrow this to the 2–3 tools I'd actually evaluate, including which ones can test your exact URLs rather than just brand mentions.

Yes. What you’re looking for is usually called AI search visibility / AEO / GEO monitoring: software that repeatedly runs realistic prompts against AI search engines and records whether your brand/content appears, what competitors appear, and which URLs get cited.

Best options

Independent 2026 comparisons put Profound, OtterlyAI, Scrunch, AthenaHQ, Ahrefs Brand Radar, and Peec AI among the leading tools in this category. technologyadvice.com

For your specific use case

I'd narrow it to Profound vs. OtterlyAI vs. Ahrefs Brand Radar.

Profound is probably the strongest if your question is:

"Here are 500 prompts our customers might ask. What does each AI answer, which sources does it cite, and how often does it cite our site versus competitors?"

It is particularly oriented toward prompt-level analysis and source citations. technologyadvice.com

OtterlyAI is a good choice if you want something easier and less enterprise-heavy. It explicitly tracks website/domain citations in AI responses and lets you research and monitor prompts. Its recent citation-report update also gives URL-level citation details. otterly.ai

Ahrefs Brand Radar makes sense if you're already an Ahrefs customer. Its AI visibility reporting separates mentions from citations and shows the domains/pages being cited. It also supports custom prompts for ongoing monitoring. ahrefs.com

One important distinction

If by "simulate user prompts" you mean literally generate hundreds/thousands of hypothetical customer questions and run them through AI assistants, make sure the product supports custom prompts, rather than only reporting on a prebuilt prompt database.

For example, you could create a test set like:

• "What are the best [category] platforms for a 500-person company?"
• "What should I consider when choosing [category]?"
• "Compare [your company] vs [competitor]."
• "What are the best alternatives to [competitor]?"
• "Which [category] vendors have the best [specific capability]?"
• "Who are the leading providers of [specific use case]?"

Then measure:

Prompt → AI answer → brand mentioned? → position/prominence → your URL cited? → which page? → competitors cited?

That's much more useful than simply asking whether an AI mentions your company.

If you tell me your industry/site and which assistants you care about (ChatGPT, Gemini, Perplexity, Google AI Overviews, Claude, etc.), I can recommend the best 2–3 tools and explain exactly how I'd set up the prompt/citation test.

Yes. What you’re describing is usually called AI search visibility / GEO (Generative Engine Optimization) / AEO monitoring: you give a platform a set of realistic user questions, it runs those prompts against AI assistants, and reports whether your brand/content appears and which URLs are cited.

The strongest options I’d look at are:

My shortlist

1. Profound — probably the closest match to what you're asking.

You can build a library of questions such as:

"What are the best [category] platforms for a 500-person company?"

"How does [competitor] compare with [your company]?"

"What software should I use for [specific use case]?"

Profound runs tracked prompts regularly and records the AI-generated answers, citation sources, visibility, rankings, and sentiment. It also lets you research prompt demand before deciding what questions to monitor. www.tryprofound.com

2. Ahrefs Brand Radar — best if you want something tied closely to SEO.

Its custom prompts let you choose the exact questions, AI assistants, location, and refresh frequency. It can show whether you were mentioned, which competitors appeared, and which pages/domains were cited. It currently supports Google AI Overviews/AI Mode, ChatGPT, Perplexity, Gemini, and Copilot, with Claude available for custom prompts. help.ahrefs.com

There's also a free AI Visibility Checker from Ahrefs that checks ChatGPT, Gemini, Perplexity, Copilot and Google AI surfaces, so it's a reasonable place to experiment before buying. ahrefs.com

3. OtterlyAI — good if your primary question is "did the AI cite my website?"

Its prompt-level reporting includes brand coverage, brand mentions, and domain citations, with response-by-response citation detail and engine-level breakdowns. Prompts can be entered manually or discovered through its prompt-research feature. help.otterly.ai

One important distinction

There are actually two different things you may want to test:

1. Mention:

"AI recommends YourCompany."

2. Citation:

AI actually links to yourcompany.com/specific-page as a source.

Those aren't the same. Ahrefs explicitly separates mentions from citations, and for your use case I'd make citation rate by prompt one of your primary KPIs. ahrefs.com

For example, I'd build a test set of 100–500 questions across:

• Category questions
• "Best X" questions
• Comparison questions
• Product-selection questions
• Problem/solution questions
• Questions your sales team hears
• Competitor questions
• Questions where your existing content should theoretically be authoritative

Then track:

Prompt → AI answer → mentioned? → cited? → exact URL cited → competitors cited → citation frequency → changes over time.

If your real goal is "Can we systematically test our content against ChatGPT/Perplexity/Gemini and determine which pages are getting cited, and why competitors are getting cited instead?", I'd lean Profound or Ahrefs Brand Radar, with OtterlyAI as the simpler/lower-complexity alternative. technologyadvice.com

Yes. What you’re describing is generally called AI search / answer-engine visibility (AEO) monitoring: you give a platform a set of realistic user prompts, it runs them against AI assistants, and reports whether your brand/content appears, what the assistant says, and which URLs it cites.

Strong options

For your specific use case, I'd start with Profound and Scrunch.

• Profound is particularly interesting if your goal is: “Take the questions our customers actually ask, run them repeatedly, and tell me how visible we are across AI answer engines.” It supports custom prompts and says it runs tracked prompts daily; importantly, it captures responses directly from the browser rather than relying solely on an API response. www.tryprofound.com
• Scrunch is particularly good if the question is: “When an AI answers this question, exactly which websites/pages does it cite, and how often is our content one of them?” Its citation tooling drills down to individual URLs, prompts, platforms, citation frequency, and trends. scrunch.com

One important distinction

There are actually two things you may want to measure:

1. Prompt simulation / visibility

“What does ChatGPT say when someone asks Who are the best X providers?”

2. Citation attribution

“Does ChatGPT actually link to/cite our article when answering that question?”

A tool can measure #1 without being particularly good at #2. For your stated objective, I'd make citation-level URL tracking a hard requirement.

Scrunch, for example, explicitly distinguishes presence (your brand is mentioned in the answer) from citation (your domain is actually referenced as a source). helpcenter.scrunchai.com

What I'd test before buying

Take ~50–100 real customer questions and ask each vendor to demonstrate:

• ChatGPT results
• Gemini results
• Perplexity results
• Google AI Overviews/AI Mode, where supported
• exact AI response
• every cited URL
• whether your specific URL was cited
• competitor URLs that were cited instead
• citation rate over repeated runs
• prompt-level history/trends
• ability to upload your own prompts
• API/export capability

I'd also ask whether they actually query the consumer-facing product or use an API. That's important because the two can produce materially different answers. Profound explicitly makes this distinction in its product description. www.tryprofound.com

If you tell me your company/content type and which AI assistants you care about (e.g. ChatGPT + Gemini + Perplexity), I can compare these tools specifically for your use case, including pricing, coverage, APIs, prompt volume, and citation reporting.

Yes. What you’re looking for is generally called AI visibility / AEO / GEO software: tools that run large sets of prompts against AI search/assistant products, then tell you whether your brand/content appears, which competitors appear, and which URLs get cited.

Best options

Ahrefs is particularly close to your description: its Brand Radar lets you define your own prompts, select AI assistants, location, and refresh frequency, and then inspect the resulting AI responses. help.ahrefs.com

It also specifically measures citations separately from mentions, so you can answer questions like:

“When someone asks an AI assistant X, does it mention our company, and does it actually link to our site?”

That distinction matters. Ahrefs' research found that brands can be mentioned substantially more often than they're actually linked/cited, so merely counting mentions can overstate how much traffic-driving visibility you're getting. help.ahrefs.com

If your goal is testing your own prompts

I'd narrow it to Ahrefs Brand Radar, Profound, or Peec.

You could create a test set such as:

• “What are the best [category] products for a mid-sized company?”
• “What should I consider when choosing [category] software?”
• “Compare [your company] vs [competitor].”
• “What are alternatives to [competitor]?”
• “Who are the leading providers of [category]?”
• “What sources does AI use when answering questions about [topic]?”

Then run those repeatedly and track:

Prompt → AI answer → brands mentioned → URLs cited → your URL cited? → competitor URLs cited → sentiment/position → change over time

That's much more useful than simply asking “does ChatGPT know my brand?”

One caveat: these tools are measurement systems, not perfect representations of what every real user will see. AI responses vary with wording, location, model, personalization, retrieval state, and time. Even practitioners point out that a fixed prompt set can't literally measure everyone's AI experience. www.reddit.com

My recommendation: if you're evaluating this for a company/content team, start with Ahrefs Brand Radar for breadth and ease of testing. If you need enterprise-scale monitoring and deeper analysis of why you're appearing or being displaced, look at Profound. Semrush is especially attractive if you already use its SEO ecosystem. technologyadvice.com

If you tell me roughly how many prompts you want to test and which assistants matter (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc.), I can narrow this down to the 2–3 tools that fit best.

Yes. What you’re describing is generally called AI search visibility / GEO (Generative Engine Optimization) monitoring: you define realistic user prompts, have the software run them against AI assistants/search engines, then measure whether your brand appears, which URLs get cited, competitors mentioned, and how that changes over time.

A few good options:

For your specific use case

I'd put OtterlyAI near the top of the list. Its workflow is almost exactly what you described: you provide natural-language prompts, it queries AI search engines automatically, and reports whether your brand was mentioned and whether your website was cited. Its prompt-detail view also exposes the actual AI response and the URLs used as citations. help.otterly.ai

For example, if you're a SaaS company selling project-management software, you might monitor prompts such as:

• “What are the best project management tools for a 50-person company?”
• “What software should I use to manage a distributed engineering team?”
• “Alternatives to [competitor]”
• “Best [category] software for [industry]”
• “How do I solve [problem your product addresses]?”

Then you can see something like:

Prompt: “Best project management software for engineering teams”
→ ChatGPT: Your company mentioned? Yes
→ Your domain cited? Yes — /engineering-teams
→ Competitors cited: 4
→ Citation position: 2
→ Gemini: Not mentioned
→ Perplexity: Mentioned + cited

That's considerably more useful than simply asking ChatGPT yourself a few times, because AI answers are non-deterministic—the same prompt can produce different answers and citations on different runs. Research published in 2026 specifically found substantial variability in citation visibility across repeated queries. arxiv.org

One important distinction

If your question is “Will AI assistants cite our website?”, these tools are excellent for measurement.

If your question is “Can I create a controlled test environment where I feed an AI assistant our content and simulate users asking questions?”, that's a somewhat different category. You'd want an LLM evaluation / RAG testing platform rather than a GEO-monitoring platform.

If you tell me what kind of content/site you have (e.g. SaaS, publisher, ecommerce, documentation, financial, healthcare) and which assistants matter most (ChatGPT, Gemini, Claude, Perplexity, Copilot), I can narrow this down to the 3 best tools and explain exactly how I'd set up the test.

Yes. What you’re describing is generally called AI visibility / GEO (Generative Engine Optimization) / AEO monitoring: you give a platform a library of real user prompts, it runs them against AI search/assistants, and reports whether your brand appears and which URLs get cited.

A few strong options:

My first choice: OtterlyAI

Otterly lets you create a set of natural-language prompts such as:

“What are the best platforms for X?”
“How should a company solve Y?”
“Which vendors offer Z?”
“What are alternatives to [competitor]?”

It then monitors those prompts across AI search systems and reports brand mentions, competitors, sentiment, and—particularly relevant to you—how often your domain is cited. It currently monitors systems including ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Claude and Copilot. help.otterly.ai

urlSee OtterlyAI's prompt-monitoring documentationturn0search0

If you want a more enterprise-grade setup

Profound is particularly interesting if you want to go beyond "did we appear?" It captures the generated answer, citation sources and front-end results for each prompt, and lets you break visibility down by platform, region, topic and persona. www.tryprofound.com

urlSee Profound's prompt-tracking capabilitiesturn0search5

Peec AI is another good fit if competitive share-of-voice is important. It tracks prompts, brand position, sentiment, competitors and the sources that AI systems cite in your category. peec.ai

urlSee Peec AI's AI Visibility platformturn0search3

One important caveat

Don't treat a single simulated answer as definitive. AI answers are non-deterministic: the same prompt can produce different answers and different citations at different times. Recent research specifically recommends treating citation visibility as a distribution measured over repeated runs rather than as a fixed number. arxiv.org

So, if your goal is "Will AI assistants cite our content when prospective customers ask questions in our category?", I'd set up something like:

50–200 real customer prompts → run repeatedly → track

1. Did the AI mention us?
2. Where did we rank among alternatives?
3. Did it cite our domain?
4. Which specific pages did it cite?
5. Which competitors were cited instead?
6. Which third-party sites are influencing the answer?
7. How do those results change over time?

That gives you something much more actionable than conventional SEO rankings.

If you tell me what kind of content/site you have and which AI assistants you care about (ChatGPT, Gemini, Perplexity, Claude, etc.), I can recommend the best tool and a concrete prompt-testing setup.

Yes. What you’re describing is usually called AI visibility / AI search / GEO (Generative Engine Optimization) tracking: you define realistic user prompts, run them across AI assistants, and measure whether your company/content is mentioned or cited.

A few current options:

• urlCitations.ioturn0search0 — specifically tracks prompts across ChatGPT, Gemini, Perplexity, and Claude, showing whether you’re mentioned, which URLs are cited, and which competitors/sources appear instead. This is probably the closest match to your description.
• urlAirPulseturn0search4 — lets you track buyer prompts and see whether your brand is named, cited, and ranked across ChatGPT, Perplexity, Gemini, and Google AI.
• urlDeepSmithturn0search6 — tracks mention rate, citation rate, share of voice, and the underlying answers across five AI/search engines.
• urlSurva.aiturn0search2 — particularly useful if you care about the distinction between a brand mention and an actual URL citation; it records the prompt, response, cited URL, and citation position.
• urlEnceptionturn0search1 — focused on GEO, with prompt coverage, recommendation rate, and citation rank across several AI engines.

What I'd look for

If your primary question is “Will AI assistants cite our content when customers ask these questions?”, don't settle for a tool that only measures brand mentions. You want it to capture:

1. The exact prompt
2. The exact AI response
3. Whether your domain was cited
4. Which specific URL was cited
5. Citation position
6. Which competitors were cited instead
7. Results by model/engine
8. Historical changes as you update content

That distinction matters because being mentioned isn't the same as being used as a source. Recent research also suggests citation count alone isn't enough: researchers distinguish between a source being selected as a citation and the source's information actually being incorporated into the generated answer. arxiv.org

If I were evaluating tools for a marketing/content team, I'd start with Citations.io and Surva.ai, then compare their actual prompt execution and citation data against a small manually constructed test set.

If you tell me what kind of company/content you have (e.g. SaaS, publisher, ecommerce, B2B), I can also give you a shortlist of the best 3 tools and what each costs/features for your use case.

If you want to simulate user prompts and evaluate how AI assistants respond—especially whether they mention, cite, or rely on your content—you’re looking for AI visibility / answer-engine optimization (AEO) / LLM evaluation tools. The right choice depends on whether you want marketing monitoring, content attribution testing, or internal QA.

Tools for simulating prompts and tracking AI answers

For internal testing (more technical)

If you want to create your own evaluation harness:

• OpenAI API + an evaluation framework
  • Generate hundreds/thousands of realistic user prompts
  • Run them against different models
  • Score answers for:
    • Did the assistant mention your company?
    • Did it cite your URL?
    • Was the citation accurate?
    • Did it hallucinate competitors?
    • Did it recommend your content?

• LangChain or LlamaIndex
  • Useful for building custom LLM evaluation pipelines and retrieval tests.

• Arize AI or Langfuse
  • Useful for monitoring and evaluating AI applications at scale.

What to measure

For “will AI assistants cite our content?” I’d track:

1. Prompt coverage
   • Example: “best CRM for small businesses”
   • “how to solve [problem your product addresses]”

2. Brand inclusion rate
   • % of answers where your brand appears

3. Citation rate
   • % of answers citing your pages

4. Citation quality
   • Is the right page cited?
   • Is the content actually used?
   • Is it cited as a source or just mentioned?

5. Competitor share of voice
   • Which domains/models appear instead of yours?

Practical setup many teams use

A common workflow is:

1. Build a list of 100–1,000 realistic customer prompts.
2. Run them weekly across ChatGPT, Claude, Gemini, Perplexity, etc.
3. Store responses.
4. Automatically score:
   • brand mention
   • URL citation
   • sentiment
   • factual accuracy
5. Update content based on missed opportunities.

If you’re specifically trying to measure whether ChatGPT cites your website/content, a purpose-built AI visibility platform (like Profound, Scrunch AI, or Peec AI) is usually faster; if you need reproducible experiments and custom scoring, an API-based evaluation setup is more flexible.

Yes. What you’re describing is generally called AI visibility / GEO (Generative Engine Optimization) / AEO tracking: you define realistic customer prompts, run them across AI assistants, and measure whether your brand/content is mentioned, recommended, or actually cited as a source.

A few good options right now:

For example, these platforms can take a prompt set like:

• “What are the best [category] platforms for a 500-person company?”
• “What should I look for when choosing [category] software?”
• “Compare [Competitor A] vs [Competitor B] vs [Your Brand].”
• “What companies provide [specific use case]?”
• “What are the most reliable sources for [topic]?”

…and repeatedly send those prompts to multiple AI engines. They can then tell you something like:

ChatGPT: Your brand mentioned, but your site not cited
Perplexity: Your brand mentioned + your article cited
Gemini: Competitor mentioned, you absent
Claude: Your research cited as a source

That distinction is important: being mentioned isn't the same as having your content cited. Some newer research also suggests that citation visibility is inherently variable—identical prompts can produce different citations at different times—so I'd favor tools that retain the raw prompt → answer → cited URLs rather than giving you only a proprietary “AI visibility score.” arxiv.org

What I'd shortlist

If your primary question is “Will AI assistants cite our actual content?” I'd start with Citations.io, Profound, Peec, or Chatobserver. Citations.io explicitly exposes a live citation feed and the sources being cited, while Chatobserver describes storing every answer, citation, and competitor for tracked prompts. citations.io

If you're an enterprise SEO/content team, I'd look particularly closely at Profound and Scrunch.

If you want something more technical/auditable, Genwolf is interesting because it describes its visibility engine as open-source and self-hostable. www.genwolf.ai

One caveat: none of these should be treated as a perfect “ground truth.” AI answers are stochastic, and different products may use different models, prompt formulations, locations, personalization, frequencies, and collection methods. The best platforms let you inspect the individual runs rather than hiding everything behind one score. arxiv.org

If you tell me your company/site and roughly how many prompts you want to test, I can also compare 5–7 of these tools on pricing, supported AI engines, API access, raw citation data, prompt volume, and enterprise features and recommend the best fit.

The category you’re looking for is usually called AI visibility monitoring, Generative Engine Optimization (GEO), or Answer Engine Optimization (AEO). These tools let you run a library of realistic user prompts against AI systems, then analyze whether your brand/content appears, whether your pages are cited, and which competitors get cited instead. www.optimizegeo.aigeogenie.ai

Some tools to evaluate:

For a more hands-on setup, many teams also build an internal system:

1. Create a prompt library:
   • “What are the best tools for X?”
   • “Compare X vs Y”
   • “Who should a company choose for X?”
   • “What are alternatives to X?”

2. Run those prompts regularly through:
   • ChatGPT
   • Claude
   • Gemini
   • Perplexity
   • Copilot

3. Store:
   • The exact prompt
   • Model/version/date
   • Answer text
   • Whether your company/content appeared
   • Whether your URL was cited
   • Citation position and competitors cited

4. Score results:
   • Mention rate: how often you appear
   • Citation rate: how often your content is linked/cited
   • Recommendation rate: how often you are suggested
   • Accuracy rate: whether the AI describes you correctly

A key distinction: a tool that only checks “was my brand mentioned?” is much weaker than one that checks which source the assistant cited and why. Citation tracking is usually the more valuable metric for content teams. www.seorav.com

If you’re evaluating this for a company website/content library, I’d look for:

• custom prompt sets by audience/persona
• scheduled re-runs
• citation URL extraction
• competitor comparison
• raw answer exports/API access
• alerts when citations are lost or gained

For an internal engineering team, you can also build a lightweight version with an LLM API + prompt database + crawler + evaluator, but the commercial GEO tools save time on maintaining the benchmark.

Yes. This is now a distinct software category often called Answer Engine Optimization (AEO) or Generative Engine Optimization (GEO). These platforms automatically run hundreds or thousands of prompts against AI assistants, record the answers, measure whether your brand or content is cited, compare you with competitors, and track changes over time. aimultiple.comarxiv.org

Here are some of the better-known options:

Most of these work by:

1. Creating a library of prompts like:
   • "Best CRM for healthcare"
   • "How do I reduce cloud costs?"
   • "What is SOC 2 compliance?"
2. Sending those prompts to AI systems such as ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews.
3. Recording:
   • whether your brand appears
   • where it ranks in the answer
   • whether your website is cited
   • which competitors are cited instead
   • how the wording changes over time. aimultiple.comarxiv.org

If you specifically care about citations

Look for features such as:

• Prompt monitoring
• Citation tracking
• Share of Voice (SoV)
• AI brand visibility
• Competitor prompt comparison
• Historical tracking
• Custom prompt libraries

These are more informative than simple "mention" tracking because they tell you whether the assistant actually attributes information to your content. Recent research suggests citation behavior differs significantly across AI platforms, so monitoring multiple assistants is valuable. arxiv.org

For enterprises

Common choices include:

• Profound
• Scrunch AI
• AthenaHQ

These emphasize large-scale monitoring, workflow integration, and reporting. www.noveltyseo.comaimultiple.com

For startups and smaller teams

Many teams start with:

• Otterly AI
• Peec
• Semrush AI Visibility (if they're already using Semrush)

These are generally less expensive while still supporting prompt testing and citation tracking. www.noveltyseo.comaimultiple.com

If your goal is testing your own website, it's also possible to build a custom evaluation system. Many organizations maintain a fixed set of prompts (for example, 500–5,000), run them on a schedule against multiple AI assistants via APIs where available, and log:

• answer text,
• cited URLs,
• citation frequency,
• ranking position,
• sentiment,
• and changes over time.

That approach gives you full control over the prompts and metrics, though it requires more engineering than using an off-the-shelf AEO platform.

You're looking for software in the emerging category often called AI visibility, LLM monitoring, or generative engine optimization (GEO). These platforms simulate prompts across AI assistants, track whether your brand or content appears in answers, and often analyze citations or source attribution.

Some of the better-known options include:

These platforms typically:

• Run hundreds or thousands of prompts automatically.
• Test across assistants such as ChatGPT, Google AI, Claude, Gemini, and Perplexity (coverage varies).
• Show whether your brand was mentioned.
• Identify which sources or domains were cited.
• Track changes over time.
• Compare your visibility against competitors.

If you're looking for something more technical, there are frameworks that let you build your own evaluation system:

• LangChain + LangSmith for prompt evaluation
• Weights & Biases Weave for LLM evaluations
• Confident AI (DeepEval)
• Arize AI Phoenix

These are aimed more at developers than marketers but provide greater flexibility.

One important limitation: citation behavior differs by assistant. For example:

• Some assistants frequently cite web sources.
• Others summarize from their internal knowledge unless web search is enabled.
• Some cite publisher pages, while others cite secondary sources or no sources at all.

Because of that, AI visibility tools usually report both:

• whether your brand or page influenced the answer, and
• whether it was explicitly cited.

If your goal is specifically "Will ChatGPT cite our website?", you should choose a platform that tests ChatGPT with web search enabled and records source citations rather than just brand mentions. That provides a much closer approximation of what users actually see when asking real questions.

If your goal is to understand how AI assistants (ChatGPT, Gemini, Claude, Perplexity, etc.) answer questions in your industry and whether they mention or cite your content, there are several categories of software:

AI search / citation monitoring platforms

These are designed specifically for brands, publishers, and SEO teams.

• Profound — Tracks how AI search engines answer prompts, monitors brand visibility, identifies cited sources, and measures share of voice across AI assistants.
• Goodie — Tests prompts at scale and analyzes how AI assistants represent brands and which sources they use.
• Otterly.AI — Monitors AI-generated search results and brand mentions over time.
• Peec AI — Focuses on AI search visibility, competitive benchmarking, and citation tracking.
• Scrunch AI — Helps organizations understand and improve how they appear in AI-generated answers.

These are the closest equivalent to "Google Search Console for AI."

Enterprise testing platforms

If you want to run hundreds or thousands of prompts automatically:

• LangSmith — Evaluate prompts, compare model outputs, and automate regression testing.
• Weights & Biases — Includes tools for prompt evaluation and experiment tracking.
• Promptfoo — Open-source framework for running large prompt suites against multiple models and scoring the results.
• OpenAI Evals — Useful if you're evaluating applications built on OpenAI models.

These focus more on testing model behavior than monitoring public AI search.

Build your own monitoring

Many organizations create their own system that:

1. Maintains a library of representative user prompts.
2. Sends them to multiple AI assistants via APIs where available.
3. Extracts:
   • whether the brand is mentioned,
   • whether the company's content is cited,
   • which competitors appear,
   • confidence or sentiment,
   • changes over time.
4. Stores results in a database and visualizes trends in a BI tool.

This approach offers the most flexibility if you need custom reporting.

Important limitation

Not every AI assistant exposes citations consistently.

• Some assistants always provide sources for web-based answers.
• Others only cite sources when using web search or retrieval.
• Different assistants may produce different answers to the same prompt depending on model version, personalization, region, and whether web search is enabled.

Because of that, most AI visibility platforms sample prompts repeatedly and track trends rather than expecting perfectly deterministic results.

If you're focused on SEO and content strategy

The current leaders are generally considered:

1. Profound — strongest for enterprise AI visibility.
2. Goodie — good balance of monitoring and actionable insights.
3. Otterly.AI — simpler monitoring for marketing teams.
4. Promptfoo — best if you want to build a custom evaluation workflow.

If you tell me your use case (e.g. agency SEO, publisher, ecommerce, SaaS, or enterprise brand monitoring), I can recommend the tools that best fit your budget and technical requirements.

The category you’re looking for is usually called AI visibility tracking, Generative Engine Optimization (GEO), or Answer Engine Optimization (AEO). These tools simulate real user prompts against AI systems, record the answers, and measure whether your brand/content appears, is mentioned, or is cited as a source. geo.genee.techgeogenie.ai

Some options:

A practical evaluation workflow:

1. Create a prompt set
   • “What are the best tools for X?”
   • “Compare X vs Y”
   • “Who are the leading providers of X?”
   • “What sources should I trust for X?”

2. Run the same prompts repeatedly
   • ChatGPT
   • Claude
   • Gemini
   • Perplexity
   • Google AI Overviews (where available)

3. Measure
   • Was your company/content mentioned?
   • Was your URL cited?
   • Which competitors appeared?
   • Which pages were cited instead?
   • Did the AI summarize your content accurately?

4. Keep the raw prompt/answer logs

Many vendors produce an aggregate “AI visibility score,” but the most useful data is usually the underlying prompt → answer → citation record, because that shows exactly why you were or were not included. www.reddit.com

If you’re evaluating this for a brand/content team, I’d generally start with a dedicated tracker (Profound, Peec, Otterly, GeoGen) rather than an SEO suite, unless you already live in Semrush/Ahrefs.