ChatGPT answers, unedited

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

These platforms take a library of realistic user questions—e.g. “What are the best payroll platforms for a 50-person company?”—and repeatedly run them against major AI/search assistants, then tell you whether your brand or specific pages are mentioned/cited, which competitors appear, and which URLs the assistants use as sources.

My shortlist

Otterly explicitly supports AI Prompt Research, where it identifies prompts/topics/intent patterns, and then tracks how brands and websites appear across AI search platforms. otterly.ai

The important distinction

If your question is specifically:

“Given the questions our prospects ask, are our pages likely to be surfaced/cited by ChatGPT, Gemini, Perplexity, Google AI, etc.?”

I'd prioritize a tool that gives you the actual prompt → AI response → cited URLs rather than a generic "AI SEO score."

That's because the useful diagnostic isn't merely “your page scored 72/100.” It's:

Prompt:

“What are the best [category] solutions for [use case]?”

ChatGPT:

1. Competitor A — cited
2. Competitor B — cited
3. Competitor C — cited
4. You — absent

Sources used: competitor pages, review sites, Reddit, industry publications, etc.

Then you can look across hundreds of prompts and determine why competitors are being selected and which pages are actually earning citations. Otterly describes essentially this workflow—automatically running conversational prompts across AI engines and identifying brands, citations and share of AI voice. otterly.ai

One caveat

Don't treat these tools as literally predicting what every individual user will see. AI assistants personalize results, and search-enabled vs. non-search responses can behave very differently. Otterly itself notes that manually running the same prompt can produce different results because of personalization such as history and location. otterly.ai

So I'd use the output as a probabilistic visibility benchmark, not a traditional rank tracker.

If you tell me your site/category and roughly how many pages you want to evaluate, I can narrow this down to the 2–3 tools I'd actually test and explain how I'd structure the prompt set.

Yes. What you’re describing is generally called AI visibility / GEO (Generative Engine Optimization) monitoring: tools generate or maintain realistic buyer prompts, run them against major AI assistants, then show whether your brand and specific pages are mentioned or cited.

My shortlist

• Profound — probably the strongest choice if you’re an enterprise SEO/content team. It tracks prompts and citation sources across major AI search surfaces and provides deeper citation analysis. Independent 2026 testing ranked it among the strongest platforms. LLM Visibility Tools Geodocs
• Peec AI — good if your primary need is systematically testing lots of prompts and comparing visibility across AI engines. LLM Visibility Tools Kitbase
• Otterly.AI — a more approachable/less expensive option for prompt tracking, mentions and citations. LLM Visibility Tools
• Ahrefs Brand Radar — worth considering if you're already heavily invested in Ahrefs and want AI visibility alongside traditional SEO rather than adopting a separate platform. LLM Visibility Tools Kitbase
• Promptwatch — particularly interesting for your exact use case because it goes beyond merely saying "your brand appeared" and analyzes your own pages/citations. Its 2026 comparison claims it is the only platform in its benchmark that combines prompt monitoring, page indexing/gap analysis and subsequent optimization workflow. Promptwatch

The important distinction

If your question is:

"When someone asks ChatGPT/Gemini/Perplexity a question, will our website page be surfaced as a source?"

I'd prioritize a tool that records the actual URLs cited, not merely whether your company was mentioned.

For example, you want a report like:

That distinction is crucial: brand visibility ≠ page visibility.

Tools such as Kitbase explicitly separate brand mentions from domain citations, while Wellows says it captures the actual URLs cited by multiple AI surfaces. Kitbase Wellows

If you're evaluating this for your company

I'd run a bake-off between Profound, Promptwatch, Peec AI, and Otterly.AI using your own 50–100 real customer prompts. Don't judge them on their aggregate "AI visibility score."

Test whether each can answer these five questions:

1. Which prompts cause our pages to surface?
2. Which exact URLs are being cited?
3. Which competitor pages are cited instead?
4. What characteristics distinguish the cited pages from ours?
5. After we change a page, can the platform rerun the same prompts and demonstrate whether visibility improved?

Also test the same prompt repeatedly. AI answers are stochastic and can change over time; recent reporting shows that even citation shares can move substantially within weeks. Axios

If you tell me your industry/site type and whether you're interested in ChatGPT + Gemini + Perplexity + Google AI Overviews (or all of them), I can narrow this to the 2–3 platforms I'd actually trial and compare their prompt simulation, URL-level citation tracking, API access, and pricing.

That distinction is crucial: brand visibility ≠ page visibility.

Tools such as Kitbase explicitly separate brand mentions from domain citations, while Wellows says it captures the actual URLs cited by multiple AI surfaces.

If you're evaluating this for your company

I'd run a bake-off between Profound, Promptwatch, Peec AI, and Otterly.AI using your own 50–100 real customer prompts. Don't judge them on their aggregate "AI visibility score."

Test whether each can answer these five questions:

Yes — the category you’re looking for is usually called AI visibility / AI search visibility / GEO (Generative Engine Optimization) monitoring. These tools generate or ingest realistic buyer prompts, run them across major assistants, and measure whether your brand/domain/pages are mentioned or cited.

A few worth evaluating:

• Ahrefs Brand Radar / AI Visibility Checker — probably the strongest fit if you already use Ahrefs. It checks ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, and importantly reports the specific pages being cited, not just brand mentions. It also supports custom prompts. ahrefs.com
• Rank.ai AI Visibility Tool — good if you want to define your own buyer prompts and repeatedly run them across ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews. It tracks mention/citation rate and competitor share of voice. www.rank.aisincite.comwww.yext.com
• CitedSpy AI Visibility Checker — useful for a quick live test. It queries ChatGPT, Perplexity, Gemini, Claude and Grok and gives prompt-level rankings, competitors and cited sources. www.citedspy.com
• SynectGEO — particularly interesting for your wording because it can take a URL, analyze the market/page, automatically generate buyer prompts, and test them across ChatGPT, Gemini, Claude and Perplexity. www.synectgeo.io
• Sincite — more focused on daily sampling of the prompts buyers actually ask, showing whether you get mentioned, your position in the answer, and share of voice. sincite.com

What I'd look for specifically

If your goal is "Will this particular page get surfaced when someone asks an AI assistant X?", don't settle for a tool that only gives you a brand visibility score.

You want these capabilities:

1. Prompt generation — automatically derive non-branded questions from your category/use cases.
2. Real assistant testing — ChatGPT, Gemini, Claude, Perplexity, and ideally Google AI Overviews/AI Mode.
3. URL-level citation tracking — which exact page was cited.
4. Prompt → page mapping — which questions cause your page to appear and which don't.
5. Competitor comparison — which competitor/page gets surfaced instead.
6. Repeated testing — because one AI response isn't reliable; results vary between runs.
7. Custom prompts — so you can test your actual customer questions rather than only a vendor's generic prompt set.

That last point is important: AI answers are volatile, and recent research shows that different assistants retrieve substantially differently. www.yext.com

My shortlist: I'd start with Ahrefs Brand Radar if you want an established SEO platform, and SynectGEO or Rank.ai if the core requirement is simulate lots of realistic user prompts and see exactly what gets surfaced.

If you tell me what kind of pages/site you have (SaaS, ecommerce, publisher, local business, etc.), I can narrow this down to the 2–3 tools that are best specifically for page-level AI surfacing, including pricing and API/enterprise options.

Yes. What you’re describing is generally called AI visibility / GEO (Generative Engine Optimization) tracking: tools generate or run realistic buyer prompts against major AI assistants, then measure whether your brand/pages are mentioned, recommended, and cited.

A few worth evaluating:

• Omnia — particularly close to your use case. It says it mimics real user behavior, runs prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Claude, Copilot, and Gemini, and tracks whether your brand appears and how it compares with competitors. www.useomnia.com
• Rank.ai — lets you define actual buyer questions and runs them repeatedly across ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, and Google AI Overviews. It tracks mention rate, citation rate, position, and share of voice. www.rank.ai
• MentionScout — strong if you want broad coverage, including ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Claude, and Grok. It also analyzes the actual URLs cited by each answer. mentionscout.com
• Citations.io — more focused on which pages/domains AI cites. It runs your prompts against ChatGPT, Gemini, Perplexity, and Claude and maintains an answer archive and citation map. citations.io
• AISEOP — interesting if your question is specifically “will this particular page/content change make us more likely to be surfaced?” It offers page-level scoring and prompt simulation against staged content before publishing. www.aiseop.ai

For your exact question

If you're trying to answer:

“Given the questions our customers ask, which of our pages are likely to get surfaced/cited by ChatGPT, Gemini, Claude, Perplexity, etc.?”

I'd prioritize AISEOP + Omnia/Rank.ai.

There's an important distinction:

AI visibility trackers
→ “Ask 500 realistic questions and see whether we/our competitors appear.”

Page-level simulation / GEO optimization
→ “Given this specific page, simulate relevant prompts and estimate whether the page is likely to become a source.”

The second is much closer to predictive content testing, whereas most visibility platforms are primarily measurement systems. AISEOP explicitly advertises the simulation capability. www.aiseop.ai

If you tell me whether you're looking for this for an enterprise SEO team, an agency, or to build the capability into your own product, I can narrow this to the 3–5 strongest options and compare prompt simulation, page-level scoring, API access, supported assistants, and pricing.

Yes. What you’re describing is generally called AI visibility / GEO (Generative Engine Optimization) monitoring: tools generate or maintain realistic user prompts, run them across major AI assistants, and measure whether your brand or specific pages are mentioned/cited.

Best fits

Ahrefs is particularly interesting because it says its prompts are derived from real search behavior rather than synthetic questions, then queries the AI platforms and reports which domains/pages get cited. ahrefs.com

Otterly goes a step further for your particular use case: it has AI Prompt Research, monitoring of citations at the URL/domain level, and a Query Fan Out feature intended to model the related queries an AI search engine may generate from an initial user prompt. otterly.aiotterly.ai

If your question is specifically “will this page get surfaced?”

I'd prioritize OtterlyAI or Ahrefs.

You want the system to test something like:

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

and then tell you:

• Was our company mentioned?
• Which URL was cited?
• Was our target page cited or another page?
• Which competitors were mentioned?
• What prompts caused our page to surface?
• What sources did the AI rely on?
• How does this vary between ChatGPT, Gemini, Perplexity, etc.?
• Does the answer change when the prompt is phrased differently?

That's more useful than simply asking an LLM whether your page is “AI optimized.”

For example, Otterly explicitly reports the domains and URLs cited in AI answers, while also supporting prompt research and competitive benchmarking. otterly.aiotterly.ai

One caveat: these tools are measuring observed probability, not guaranteeing future surfacing. AI answers are stochastic and can change based on location, model version, search/retrieval state, and prompt wording. A good system therefore runs many prompts repeatedly rather than treating one response as definitive. Rank.ai, for example, explicitly recommends repeated/daily runs because of this variability. www.rank.ai

If you tell me what type of pages you have (e.g. SaaS product pages, documentation, ecommerce/category pages, publisher content), I can narrow this down to the 2–3 platforms best suited to predicting whether individual URLs will be cited by ChatGPT/Perplexity/Gemini.

Yes. What you’re looking for is generally called AI search visibility / GEO (Generative Engine Optimization) tracking: tools generate or ingest realistic user prompts, run them against major AI assistants, and measure whether your brand and individual URLs are mentioned/cited.

My shortlist

For your specific question, I'd lean toward Profound

The important distinction is that you don't just want to ask:

"Does AI know about my company?"

You want to ask hundreds/thousands of questions that a potential customer might actually type, such as:

• "What are the best X for a mid-sized company?"
• "Which X should I use if I need Y?"
• "Compare X vs Y"
• "What's the cheapest X that does Z?"
• "What companies provide X in the US?"
• "What are alternatives to X?"
• "Is X worth it?"
• "How do I solve [problem your product solves]?"

Then determine:

Prompt → AI answer → cited URLs → your URL/competitor URL → position → frequency → sentiment

Profound is particularly interesting because its Prompt Volumes dataset is based on real prompts submitted to AI answer engines, rather than merely having an LLM invent a hypothetical prompt set. www.tryprofound.comhelp.tryprofound.com

If the real question is "which of our pages are likely to surface?"

I'd evaluate the products specifically on URL-level citation data, not just brand mentions.

For example, you want a report like:

That lets you identify content gaps, rather than simply concluding that your brand has "30% AI visibility."

Peec explicitly reports the web pages/domains AI engines reference, while Otterly also tracks URL citations and has a content-audit component aimed at understanding why AI skips particular content. docs.peec.ai

My ranking for your use case:

1. Profound — best if you want the most defensible measurement of real-world AI demand.
2. Peec AI — excellent if prompt → competitor → citation analysis is the core workflow.
3. OtterlyAI — probably the easiest broad-coverage option, especially if you want ChatGPT + Gemini + Perplexity + Google AI experiences in one place.

One caveat: no third-party platform can perfectly predict what an AI assistant will return to every individual user. Responses vary by model version, location, personalization, conversation history, web index state, and time. The useful metric is therefore repeated visibility across a carefully designed prompt set, rather than a binary "AI SEO rank."

If you tell me what kind of site you have (ecommerce, SaaS, publisher, local business, etc.) and roughly how many pages, I can also tell you which of these three is the best fit and what the testing methodology should look like.

Yes. The category you’re looking for is generally called AI visibility tracking, GEO (Generative Engine Optimization), or AI search / prompt tracking.

If your specific goal is “simulate the questions our prospects ask and determine whether our pages get surfaced/cited by major AI assistants,” I’d shortlist these:

What I'd choose

If you're evaluating this for a company/SEO team, I'd start with Promptwatch or Frase.

The important distinction is that you don't just want a generic "AI visibility score." You want something that can answer:

For the prompts our customers actually use, which of our URLs does each AI assistant surface, which competitors appear instead, and why?

For example, you might give the system 100–500 prompts such as:

• “What are the best [category] platforms for mid-market companies?”
• “How do I solve [problem]?”
• “[Product category] alternatives to [competitor]”
• “Compare [A] vs [B]”
• “What should I look for when choosing [category]?”
• “Who offers [specific capability]?”
• “[Industry] software recommendations”

Then measure prompt → assistant → answer → cited URL → competitor → position/share.

That's much more actionable than simply checking whether your brand was mentioned.

One important caveat

No tool can perfectly predict future AI visibility from a simulation. AI responses are stochastic and different assistants use different retrieval/search layers. Recent research also suggests there's an important distinction between a page being selected as a citation and the information on that page actually being absorbed into the generated answer. arxiv.org

So I'd look for a platform that stores the actual prompt and response, identifies the specific URL cited, and lets you repeat the same prompt over time—not one that merely gives you an opaque “GEO score.”

If you tell me whether you're looking for an enterprise SaaS solution, an API you can integrate into your own platform, or an open-source/self-hosted solution, I can narrow this down to the 3–5 strongest options and compare pricing, API access, prompt volume, and which assistants they actually query.

Yes. What you’re describing is usually called AI search visibility / Answer Engine Optimization (AEO) / Generative Engine Optimization (GEO): you give a platform a set of natural-language prompts that resemble what customers ask, it runs those prompts against major AI assistants, and it measures whether your brand/pages are mentioned or cited.

My shortlist

Profound is probably the closest match to your wording. Its Answer Engine Insights product lets you create/upload your own prompts or use its dataset of real user queries, then runs those prompts daily and captures the generated answer and citation sources. www.tryprofound.com

One particularly useful distinction: Profound says it captures responses directly from the consumer browsing experience rather than simply relying on model APIs, which is important if your goal is to approximate what an actual user would see. www.tryprofound.com

OtterlyAI is the one I'd investigate first if you want something more accessible. You can provide a brand, keyword, or URL, have it generate conversational prompts, and then monitor those prompts across multiple AI search engines. It reports whether your brand is mentioned and whether your website is cited. help.otterly.ai

One important caveat

No third-party platform can perfectly answer “Will ChatGPT recommend this exact page to a particular user?” AI answers vary by model, location, personalization, browsing state, timing, and query formulation.

So I'd evaluate vendors on whether they can measure these four things separately:

1. Prompt → Does the assistant mention your brand?
2. Answer → Is your brand favorably positioned?
3. Citation → Does it link to your specific page, rather than merely your domain?
4. Competitive visibility → Which competitor pages are being cited instead?

For your particular objective—finding out which of our existing pages are likely to surface for realistic customer prompts—I'd lean Profound for enterprise-grade measurement, OtterlyAI for a faster/lower-friction implementation, and Peec if page-level citation analysis is especially important. Peec explicitly exposes the domains and URLs that AI engines retrieve and cite. docs.peec.ai

If you tell me roughly how many pages/prompts you need to test and whether you're B2B or B2C, I can narrow this to the best 2–3 options and compare pricing, coverage, prompt volume, and page-level reporting.

Yes. The category you’re looking for is generally called AI search visibility / GEO (Generative Engine Optimization) / AEO monitoring. These platforms generate or accept realistic user prompts, run them against multiple AI assistants, and measure whether your brand/site is mentioned or cited.

My shortlist

The important distinction is that you don't just want a tool that asks an LLM "What do you know about my company?" You want one that builds a large set of natural, non-branded user queries such as:

• "What are the best [category] providers?"
• "What should a [customer type] look for when choosing [category]?"
• "What's the best alternative to [competitor]?"
• "Which [category] companies are good for [specific use case]?"
• "Compare [competitor A] and [competitor B]."
• "Who provides [service] in [location]?"
• "What are the most reliable [products/services] for [scenario]?"

Then it should run those prompts repeatedly against the different assistants and record whether your site/page is mentioned, cited, recommended, and where it appears relative to competitors.

That's important because AI answers are stochastic; one test isn't particularly meaningful. Some current platforms therefore run the same prompt repeatedly/daily to establish a trend rather than treating a single response as definitive. www.rank.ai

If your specific goal is "which of our pages will AI assistants surface?"

I'd prioritize Profound or Ahrefs.

Ahrefs is particularly interesting because its Brand Radar approach uses search-backed prompts rather than purely synthetic questions and reports the specific pages/domains being cited. ahrefs.com

Profound goes further into enterprise AI-search intelligence and also has Agent Analytics, which tracks how AI agents crawl/interact with your site in addition to measuring how your brand appears in answers. www.tryprofound.com

If you want maximum assistant coverage, Lighthouse claims to query 10+ AI assistants, while Rank Prompt currently advertises six major platforms. www.ahoylighthouse.com

One thing I'd look for in a vendor

Ask them to demonstrate this exact workflow:

Your domain → automatically discover important pages → generate 100–1,000 realistic buyer prompts → run prompts across ChatGPT/Gemini/Perplexity/Claude/etc. → identify cited URLs → map citations back to your pages → compare against competitors → recommend which pages/content gaps to fix.

That is substantially more useful than a generic "AI visibility score."

If you tell me what kind of site you have (B2B SaaS, ecommerce, publisher, local business, etc.) and roughly how many pages, I can narrow this to the 3 best solutions for your use case and compare pricing, prompt volume, assistant coverage, API access, and page-level citation analysis.

Yes. What you’re looking for is generally called AI visibility / GEO (Generative Engine Optimization) monitoring: tools that generate realistic buyer prompts, run them across major AI assistants, and measure whether your brand and specific pages get mentioned or cited.

A few worth evaluating:

These aren't merely "AI rank trackers." The stronger ones actually send prompts to the AI systems and inspect the resulting answers and citations. For example, CitedSpy says it derives buyer questions from your site/category and then queries five AI engines live. www.citedspy.com GEO Toolbox similarly runs the same prompt across eight answer engines and reports the exact citations and competitors returned. geotoolbox.ai

For your specific question, I'd shortlist 3

1. Traqer — best if you want to answer "are we likely to surface?"

Its approach is particularly relevant because it doesn't treat one prompt as equivalent to a Google keyword. It generates multiple natural variations around a topic, then measures how consistently your brand appears. That's much closer to the real-world question you're asking: "If customers ask this question in different ways, do AI assistants tend to surface us?" www.traqer.ai

2. GEO Toolbox — best for broad assistant coverage

It currently claims testing across eight engines, including ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, Bing Copilot and Grok. It also shows which specific URLs were cited, which is important if your goal is determining whether your pages, rather than merely your brand, are being surfaced. geotoolbox.ai

3. Lighthouse — best if you need page-level recommendations

Lighthouse positions itself around connecting visibility results to individual pages: it measures which assistants recommend/cite you and then gives page-level fixes. It says it queries 10+ AI platforms. www.ahoylighthouse.com

One important distinction

I'd avoid evaluating these purely on a "visibility score." The more useful measurement is:

Prompt → AI assistant → answer → cited URLs → your URL → competitor URLs

For example, suppose you have 500 important pages. You'd ideally want the system to generate hundreds of realistic prompts such as:

• "What are the best X for Y?"
• "Compare X vs. Y"
• "How do I solve Z?"
• "What should a company consider when choosing X?"
• "Who are the leading providers of X?"
• "Is [your product] good for [use case]?"

Then run those across the assistants and calculate things like:

Surface rate: % of prompts where your brand appears
Citation rate: % where your domain is actually cited
Page citation rate: % where the desired page is cited
Share of voice: your mentions vs. competitors
Assistant variance: how results differ between ChatGPT/Gemini/Perplexity/etc.
Prompt robustness: whether you're surfaced across variations of the same underlying question

That last metric is especially important because AI answers are stochastic. Research published in 2026 also argues that simply counting citations isn't enough; citation selection and the degree to which a cited page actually contributes to the generated answer are distinct things to measure. arxiv.org

If your actual goal is "we have a large website; tell me which pages are likely to be surfaced by ChatGPT/Gemini/Perplexity for our target customer questions", I would lean toward Traqer or GEO Toolbox, rather than a conventional SEO rank tracker.

Yes. What you’re describing is generally called AI search visibility / Answer Engine Optimization (AEO) / Generative Engine Optimization (GEO) tooling: you give the platform a set of realistic user prompts, it runs those prompts across major AI assistants, and measures whether your brand/pages are mentioned, recommended, or cited.

Best fits

If your specific question is:

“Given the kinds of questions our customers ask, how likely is each of our pages to be surfaced/cited by ChatGPT, Gemini, Perplexity, Claude, etc.?”

I'd start with Profound.

Its particularly relevant feature is that you can design and upload your own prompts, rather than relying solely on a vendor's generic keyword set. It then runs those prompts repeatedly because AI answers aren't deterministic. Profound also says it captures responses directly from the browser rather than simply querying an API, which is useful if your goal is to approximate what an actual user sees. www.tryprofound.com

Scrunch would be my second choice if you also want to answer the why question—e.g., “AI agents can access our site, but which pages/content structures are preventing them from understanding or citing us?” Its platform combines prompt/citation monitoring with AI-agent traffic and site analysis. scrunch.com

One important caveat: don't treat this as a traditional rank tracker. AI assistants don't have one stable ranking. Independent testing has found substantial differences between ChatGPT, Gemini, Perplexity and Claude for the same prompts, and even repeated runs can vary. www.reddit.com

For your use case, I'd measure at least:

Prompt → assistant → brand/page mentioned → citation URL → position/order → competitor mentions → answer sentiment → repeat-run frequency.

That gives you a much more meaningful “probability our page gets surfaced for this user intent” metric than simply checking whether your domain appears once.

If you tell me roughly how many pages/prompts you need to monitor and which assistants matter most, I can narrow this to the 2–3 platforms I'd actually shortlist.

If you mean “run realistic user questions through ChatGPT/Gemini/Claude/Perplexity and see whether our pages get cited or recommended”, you’re looking for an AI visibility / Generative Engine Optimization (GEO) monitoring tool. These tools typically maintain a prompt set, run it repeatedly across AI assistants, and measure mentions, citations, competitors surfaced, and source URLs. searchengineland.comcitations.io

Some of the stronger options:

For a website/page-level audit, I’d evaluate tools on these capabilities:

1. Custom prompt libraries
   • Can you upload your actual buyer questions?
   • Can it test variants like:
     • “best X for Y”
     • “alternatives to X”
     • “how do I solve problem Z”
     • “compare vendors”

2. URL citation tracking
   • Does it tell you which page was cited?
   • Does it distinguish:
     • brand mentioned
     • URL cited
     • competitor recommended instead

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

4. Repeat sampling
   • AI answers are non-deterministic; one run is not enough. Better systems rerun prompts over time and show trends. arxiv.org

A practical setup many teams use:

• Start with ~50–200 high-intent prompts from your customers.
• Run them weekly across ChatGPT, Gemini, Claude, and Perplexity.
• Track:
  • citation share (% of answers citing you)
  • competitor share
  • pages cited
  • missing content/topics
  • changes after publishing updates

If you’re building this internally, the architecture is fairly straightforward: prompt database → model/API runners → response parser → citation extractor → dashboard. The harder part is creating a representative prompt set and accounting for model variability. arxiv.org

For most companies, I’d shortlist:

• Enterprise: Profound
• SEO team: Ahrefs + a dedicated AI visibility tracker
• Lean team: Otterly or Citations.io
• Build-your-own: Genwolf-style approach www.genwolf.aiwww.marqops.com

If you mean testing individual pages (URL-by-URL) rather than brand visibility, the shortlist changes a bit.

Yes. What you’re looking for is generally called AI visibility / AEO / GEO (Generative Engine Optimization) software: tools that generate realistic buyer/research prompts, run them across major AI assistants, and measure whether your pages are mentioned, cited, recommended, or ignored.

A few worth evaluating:

For your specific question, I'd start with AEOLens or Citations.io. AEOLens explicitly describes an “AI Buyer Simulation” where it runs 25 buyer-intent prompts simultaneously across multiple engines. aeolens.ai Citations.io takes a similar approach but emphasizes the exact sources selected by each answer and which competitors get cited instead. citations.io

One important caveat

Don't treat an AI-visibility score as equivalent to a Google ranking. AI results are stochastic: the same prompt can produce different answers, and different assistants can have substantially different source preferences. Recent research specifically recommends repeated measurements and paraphrased prompts rather than relying on a single query/run. arxiv.org

So, if you're evaluating vendors, I'd insist on these capabilities:

1. Generate prompts from your actual audience/use cases, rather than generic keywords.
2. Run each prompt multiple times.
3. Test ChatGPT, Gemini, Perplexity, Claude and Google's AI surfaces.
4. Show the actual response and cited URLs, not merely a proprietary visibility score.
5. Tell you which specific page was cited.
6. Show which competitor/source was cited instead when you're absent.
7. Separate mentioned vs. cited vs. recommended.
8. Let you track the same prompt set over time.

That last distinction is particularly important: a tool saying “your brand appeared in 40% of answers” isn't nearly as useful as “for these 17 high-value prompts, /product-x was cited 8 times, /pricing 0 times, and Competitor Y was cited 14 times.”

If your goal is specifically “given our website, predict/test which of our pages are likely to be surfaced for real user questions”, I can also give you a shortlist of the 3–5 best tools for that exact workflow, including pricing and whether they can test individual URLs rather than just brands.

Yes. What you’re looking for is generally called AI search visibility / GEO (Generative Engine Optimization) monitoring: a platform that takes realistic, natural-language prompts, runs them across major AI assistants, and records whether your pages/brand are mentioned or cited.

Best fit: OtterlyAI

OtterlyAI is probably the closest match to your description.

You give it prompts such as:

• “What are the best platforms for X?”
• “How do I solve Y?”
• “Which companies offer Z?”
• “What are alternatives to [competitor]?”
• “What should a company consider when choosing X?”

It then monitors those prompts across ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Microsoft Copilot, and Claude, reporting brand mentions and the URLs cited in the answers. help.otterly.ai

It also has AI Prompt Research, which can generate relevant prompts from your website, keywords, or brand—useful if you don't already have a prompt set. otterly.ai

Other serious options

One important distinction: don't just measure whether your brand is mentioned. For your use case, I'd specifically measure whether the assistant cites the actual URL/page you want surfaced. Otterly, for example, has prompt-level citation analysis and shows the URLs used as sources. help.otterly.ai

Also, because AI responses are nondeterministic, a single prompt run isn't a reliable “ranking.” Repeated sampling is much more meaningful; recent research specifically finds substantial variation in which domains get cited across repeated AI-search queries. arxiv.org

If your goal is “give me 500 realistic customer prompts and tell me which of our 10,000 pages are likely to get surfaced by ChatGPT/Gemini/Perplexity,” that's a somewhat more specialized requirement. I can compare the current platforms specifically on prompt simulation + page-level citation tracking + automated prompt generation + API/export capabilities and tell you which one fits best.

Yes. What you’re looking for is generally called AI visibility / GEO (Generative Engine Optimization) tracking: tools that generate realistic user prompts, run them against multiple AI assistants, and measure whether your site/pages are mentioned or cited.

A few options worth evaluating:

The important distinction

If your question is specifically:

"Given the kinds of questions our customers ask, will this particular page be surfaced/cited by ChatGPT, Gemini, Perplexity, etc.?"

I'd prioritize a tool that gives you prompt → raw AI answer → cited URLs → page-level attribution, rather than one that only gives you a generic "AI visibility score."

That's because AI visibility isn't simply a ranking. Recent research distinguishes between a page being selected as a citation and actually having its information absorbed into the generated answer. arxiv.org

For example, you want to be able to test:

• "What are the best [category] tools for a 50-person company?"
• "Compare [competitor A] vs [competitor B] vs [your company]."
• "What should I use if I need [specific use case]?"
• "What are alternatives to [competitor]?"
• "Which vendors have [specific capability]?"
• "Is [your company] a good choice for [industry/use case]?"

…and then see something like:

Prompt: Which analytics platforms are best for B2B SaaS?
ChatGPT: Your company appears #3
Citation: /features/analytics
Perplexity: Not mentioned
Gemini: Mentioned, but cites /blog/...
Competitors: A, B, C
Opportunity: Your comparison page is never cited

One caveat

Don't treat these tools as a definitive prediction of what every user will see. AI answers vary with prompt wording, geography, personalization, model version, search/retrieval state, and timing. Research has also found substantial differences between AI search systems and between differently phrased queries. arxiv.org

If you're evaluating vendors, I'd shortlist Geeox, Klarity, and GenRankEngine first and specifically ask each one whether they can report page-level citation rates and raw responses for a custom prompt set, rather than just brand-level visibility.

If you tell me what kind of site you have (SaaS, ecommerce, publisher, docs, etc.) and which assistants matter most, I can narrow this down to the 2–3 best solutions and compare pricing/features.

If you mean “simulate realistic user prompts against ChatGPT/Gemini/Claude/Perplexity and see whether our pages get cited or recommended”, you’re looking for a Generative Engine Optimization (GEO) / AI visibility platform. These tools create prompt sets, run them across AI assistants, and measure mentions, citations, rankings, and competitors. www.geogen.iogeogenie.ai

Some options:

For a serious evaluation, I’d look for these capabilities:

1. Prompt simulation
   • Generate hundreds/thousands of buyer-style queries:
     • “best X for enterprise teams”
     • “alternatives to Y”
     • “who provides X service in [location]”
     • “compare A vs B”
   • Run them across multiple assistants.

2. Citation tracking
   • Did the assistant mention your domain?
   • Did it link/cite your page?
   • Which competitor pages appeared instead?

3. Page-level attribution
   • Identify which URL was surfaced.
   • Understand why that page won (structure, authority, freshness, reviews, references).

4. Prompt gap analysis
   • Find prompts where competitors appear but you do not.

5. Human-controlled prompt libraries
   • You should be able to upload your own high-value customer questions rather than relying only on generated prompts.

A practical stack many teams use:

• Enterprise: Profound or similar AI visibility platforms.
• SEO teams: Otterly/Peec-style monitoring.
• GEO experimentation: GeoGen, GeoGenie, GEOCARA.
• DIY: maintain a spreadsheet of 100–500 important customer prompts, run them periodically through the major assistants, and record citations/mentions.

One caveat: no tool can guarantee “will ChatGPT surface this page,” because assistants differ by model, retrieval system, user context, geography, and time. These tools measure observed visibility and trends, not a fixed ranking position. arxiv.org

If you tell me your site type (B2B SaaS, ecommerce, publisher, local business, docs, etc.) and whether you care more about ChatGPT, Google AI Overviews, Perplexity, or all of them, I can narrow the shortlist.

If your goal is to answer, "When someone asks ChatGPT, Gemini, Claude, Perplexity, or Copilot a question, how likely is my website or brand to be mentioned?" there are now several tools designed for this. They're often described as AI visibility, LLM SEO, or Generative Engine Optimization (GEO) platforms.

Some of the leading options include:

These products generally:

• Generate or let you define hundreds or thousands of prompts.
• Ask those prompts across multiple AI assistants.
• Measure whether your brand, pages, or competitors appear.
• Track rankings and citations over time.
• Recommend content opportunities based on questions where you're absent.

For large websites

If you manage hundreds or thousands of pages, look for platforms that support:

• Automatic prompt generation from your sitemap
• Competitor benchmarking
• Geographic variations
• Scheduled monitoring
• Historical trend reporting
• API access
• AI citation tracking rather than only brand mentions

Enterprise-focused options like Profound and Scrunch AI tend to be stronger in these areas.

If you want to build your own

Many organizations also build an internal evaluation pipeline by:

1. Creating thousands of representative user questions from analytics, support tickets, and keyword data.
2. Sending those prompts to multiple AI providers via their APIs.
3. Extracting cited domains and mentioned pages.
4. Tracking metrics such as:
   • Mention rate
   • Citation rate
   • Share of voice
   • Sentiment
   • Position/order of mentions
   • Hallucination frequency

This approach offers maximum flexibility but requires engineering effort and API costs.

Recommendation by organization size

• Small business (under ~100 pages): Otterly.AI or Peec AI are typically sufficient.
• Mid-market marketing teams: Scrunch AI or Goodie provide broader monitoring and actionable insights.
• Enterprise publishers, ecommerce, or SaaS: Profound is among the more mature platforms for comprehensive AI visibility tracking.

If your objective is specifically to determine which individual URLs on your site are most likely to be surfaced by AI assistants, rather than just whether your brand is mentioned, choose a platform that supports page-level citation tracking and custom prompt testing, since not all AI visibility tools provide that level of detail.

If your goal is to understand whether ChatGPT, Gemini, Claude, Perplexity, Copilot, and other AI assistants are likely to surface your pages in response to user prompts, you're looking for tools in the emerging category often called AI search optimization (AISO) or LLM visibility.

Here are some of the strongest options:

What the better platforms actually do

The more mature products typically:

• Simulate hundreds or thousands of natural-language prompts.
• Check whether your brand or page is mentioned.
• Measure "share of voice" versus competitors.
• Identify which URLs are cited.
• Track changes over time.
• Show which prompts generate citations.
• Group prompts by customer journey (research, comparison, purchase, support).

For example, instead of just testing:

"best CRM"

they'll generate variations such as:

• "What CRM should a 20-person startup use?"
• "HubSpot alternatives"
• "CRM with strong API"
• "CRM for healthcare"
• "Affordable CRM for nonprofits"

and record whether your pages appear.

If you're evaluating your own site

If you're building an internal evaluation system, you can create something even more tailored:

1. Generate thousands of realistic user prompts from your keyword universe.
2. Run those prompts against multiple assistants (where permitted by their APIs or interfaces).
3. Record:
   • whether your brand appears,
   • which page is referenced,
   • citation position,
   • answer sentiment,
   • competing brands mentioned.
4. Repeat daily or weekly.
5. Build dashboards for:
   • visibility,
   • citation rate,
   • share of voice,
   • prompt coverage,
   • trends over time.

This approach is common among larger organizations because there is no single standardized API that reproduces every assistant's consumer experience.

If you want the most capable enterprise options

For large-scale AI visibility monitoring, the platforms most often considered are:

• Profound
• Goodie
• Scrunch AI

If your organization already relies heavily on SEO tooling, it's also worth evaluating the newer AI visibility capabilities in Semrush and Ahrefs, though those offerings are generally broader SEO suites rather than AI-first monitoring platforms.

If your goal is to answer "Will ChatGPT, Gemini, Claude, Perplexity, Copilot, etc. cite or recommend our pages?", there are now several categories of tools. They differ quite a bit in what they actually measure.

1. AI search visibility platforms (best for marketing teams)

These platforms repeatedly run prompts across multiple AI assistants and report whether your brand or pages appear.

• Profound
  • Tracks AI search visibility
  • Monitors prompts across assistants
  • Shows citations and competitors
  • Good for enterprise brands

• Goodie
  • GEO (Generative Engine Optimization)
  • Tracks mentions in AI answers
  • Measures prompt performance

• Scrunch AI
  • Focuses on AI discoverability
  • Shows how assistants interpret your site
  • Content recommendations

• Peec AI
  • Monitors visibility in AI search
  • Tracks competitors
  • GEO reporting

These are closest to an "SEO tool for AI."

2. Prompt simulation platforms (best for testing)

If you want to run hundreds or thousands of prompts and compare answers:

• LangSmith
  • Execute prompt suites
  • Evaluate responses
  • Build custom scoring
  • Doesn't directly emulate ChatGPT's web rankings, but excellent for testing workflows.

• Promptfoo
  • Open-source
  • Run large prompt matrices
  • Compare GPT, Claude, Gemini, and others
  • Add custom assertions like:
    • Was our company mentioned?
    • Was our page cited?
    • Was the answer accurate?

• Braintrust
  • Enterprise evaluation
  • Regression testing
  • Prompt benchmarking

3. Build your own visibility monitor (most accurate)

Many larger companies create their own monitoring system:

1. Generate 5,000–50,000 realistic customer prompts.
2. Send each prompt to:
   • ChatGPT
   • Gemini
   • Claude
   • Perplexity
   • Copilot
3. Record:
   • Whether your brand appears
   • Which URL is cited
   • Position in the response
   • Competitors mentioned
   • Hallucinations
4. Repeat daily or weekly to track trends.

This gives you much richer insights than keyword rankings alone.

4. SEO platforms adding AI visibility

Traditional SEO vendors increasingly include AI search features:

• Semrush
• Ahrefs
• Moz

These are adding reports for AI Overviews and generative search visibility, though they generally don't yet simulate all major assistants comprehensively.

If your objective is product or content testing

If you're asking:

"Given 10,000 customer prompts, what percentage would cause ChatGPT, Gemini, Claude, or Perplexity to recommend our pages?"

then I'd recommend a custom evaluation pipeline using Promptfoo or LangSmith. You can:

• Feed in a large corpus of representative prompts.
• Run them across multiple LLMs.
• Automatically score whether your site is surfaced, cited, or preferred.
• Produce dashboards showing visibility by topic, product area, or competitor.

This approach is often more flexible than commercial AI visibility tools because you control the prompt set and evaluation criteria, making it easier to measure the specific questions your customers actually ask.

The category you’re looking for is usually called AI visibility monitoring, AEO (Answer Engine Optimization), or GEO (Generative Engine Optimization). These tools run a library of user-like prompts against AI assistants, then measure whether your pages/brand are mentioned, cited, or recommended. searchengineland.com

Some solutions to evaluate:

A good evaluation process is:

1. Create a prompt set

Example:

• “What are the best [category] tools?”
• “Compare [competitor] vs [your product]”
• “Who offers [service] in [market]?”
• “What sources should I trust for [topic]?”

2. Run those prompts repeatedly

AI answers vary by run, model, location, and time, so a single check is not very reliable. arxiv.org

3. Measure:
   • Was your domain cited?
   • Was your brand mentioned?
   • Which competitor pages appeared?
   • Which page types win (guides, comparisons, docs, reviews, product pages)?
   • What factual gaps caused the model to ignore you?

4. Validate manually

Many vendors produce a composite “AI visibility score,” but the most useful systems let you inspect the exact prompt → AI answer → cited URL chain. www.reddit.com

If you’re evaluating this for a large website, I’d shortlist enterprise platforms like Profound or Semrush. For a growth/SEO team, Peec AI, Otterly, Aeonic, or AEO Platform are closer to the workflow of finding which pages need changes. www.aeonic.prowww.ft.com

If your goal is "Can we simulate real user prompts and measure whether ChatGPT, Gemini, Claude, Perplexity, Copilot, etc. are likely to cite or recommend our pages?", there are now several tools built specifically for this. They generally fall into two categories:

1. AI visibility / AI search monitoring (tracks whether AI assistants mention your brand or content)
2. Prompt simulation platforms (run hundreds or thousands of prompts against multiple models)

Some of the stronger options include:

If you want to test your own pages

Many organizations build an evaluation pipeline using APIs instead of relying solely on SaaS tools.

A common workflow is:

1. Generate 500–10,000 realistic customer prompts.
2. Run each prompt against:
   • ChatGPT
   • Gemini
   • Claude
   • Perplexity
   • Copilot
3. Record:
   • Whether your brand appears
   • Whether your page is cited
   • Ranking/order of mentions
   • Competitors mentioned
   • Hallucinations or incorrect answers
4. Repeat weekly to detect changes.

This approach is especially useful if you have specific products, documentation, or industry topics you want to monitor.

Open-source options

If you have engineering resources, you can build a custom evaluation system with frameworks such as:

• LangSmith — experiment tracking and evaluations
• OpenAI Evals — evaluation framework
• Promptfoo — prompt testing across many models
• DeepEval — LLM evaluation toolkit

These let you create repeatable prompt suites and compare model responses over time.

For SEO and content teams

If your primary objective is "Will AI assistants surface our pages when users ask questions in our domain?", I'd recommend:

• Enterprise: Profound
• Mid-market: Scrunch AI or Peec AI
• Technical teams wanting custom metrics: Promptfoo combined with provider APIs

That combination gives you both broad monitoring across major assistants and the flexibility to test prompts tailored to your business.