ChatGPT answers, unedited

You’re looking for an AEO/GEO (answer-engine optimization) visibility platform.

• Profound — enterprise-focused; tracks AI visibility, citations, prompts, competitors, and AI crawler activity. xSeek Lectern
• Peec AI — useful for prompt-level monitoring, citations, competitors, and benchmarking across AI engines. Conbersa
• Otterly.AI — simpler monitoring of prompts, mentions, and citations; useful for mapping which pages get surfaced. Otterly

For your specific requirement—“which of our product URLs are being cited by which AI assistants for which queries?”—I'd evaluate Profound and Peec first, making sure the demo shows page-level citation/source data, not merely a brand visibility score. austinheaton.com

Yes. For what you’re describing, you want an AI search / answer-engine visibility platform rather than a traditional SEO rank tracker.

The strongest fits

• tryprofound.com — particularly suited to enterprise AEO/GEO. It monitors prompts across answer engines and lets you analyze which owned URLs, competitor URLs, and third-party sources are cited, broken down by platform, topic, and prompt. Profound Profound Help Center
• scrunch.com — very close to your specific use case. Its citation monitoring can drill down to individual URLs, showing which of your pages are cited, for which prompts, on which AI platforms, and over time. It also has site-level mapping/diagnostics that connects pages with agent traffic and citations. Scrunch AI Customer Experience Platform Scrunch Help Center
• otterly.ai — good if you want a more straightforward monitoring/reporting workflow. It tracks prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, including specific URL citations and citation changes over time. It also has agent analytics showing which AI bots are actually visiting which pages. Otterly Otterly AI

For your exact requirement

I'd structure the measurement around a matrix like:

Then add citation frequency, answer position/presence, competitor citations, and trend over time.

For your particular question, Scrunch and Profound are the two I'd investigate first. Scrunch appears especially aligned with the “map my product URLs → the AI answers/prompts/engines that cite them” workflow, while Profound looks particularly strong for broader enterprise answer-engine intelligence. Scrunch Profound

One important distinction: “AI cited my product page” and “an AI agent visited my product page” are different signals. Tools such as Scrunch and Otterly are increasingly exposing both, which is useful if you want to understand not just which pages are being cited, but which pages AI systems are actually fetching/reading. AI Customer Experience Platform Otterly AI

If you tell me roughly how many product pages you have and whether you're B2B or ecommerce, I can narrow this down to the best 2–3 tools and compare their coverage, API/export capabilities, and pricing.

Yes. What you’re describing is usually called AI search visibility / AEO (answer-engine optimization) tracking: monitor the prompts people ask, see which brands rank or get recommended, and—critically—identify the exact URLs/pages that AI assistants cite.

My first pick: OtterlyAI

OtterlyAI is particularly close to your use case. It tracks prompts across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot, and Claude, and its citation tracking identifies the URLs cited in answers. Otterly Otterly

otterly.ai

For your product catalog, I’d structure it roughly like:

• Prompt: “best project management software for a 50-person agency”
• Assistant: ChatGPT
• Your brand: mentioned / not mentioned
• AI position: #1, #2, etc.
• Cited URL: /products/enterprise-plan
• Competitors cited: X, Y, Z
• Citation frequency: how often that product page is being used
• Change over time: whether that URL is gaining or losing citations

Otterly specifically says it tracks every cited URL and lets you see which of your pages AI engines actually link to. Otterly

Other tools worth evaluating

• Profound — stronger candidate if you're an enterprise SEO/content team and want deeper AI-search reporting and citation intelligence.
• AirPulse — interesting if the page-level mapping is the central requirement; it explicitly shows which URLs are cited, by which engine, and citation position, including gained/lost citations. AirPulse
• Sightivo — another page-level option that reports which pages get cited per assistant and which competitors are recommended instead. Sightivo
• Scrunch / Peec AI — worth putting on an enterprise AEO-tool shortlist alongside Otterly and Profound. Bloomiro

If your key question is “which of our 500 product pages are actually becoming sources for ChatGPT/Perplexity/Gemini/etc.?” I would prioritize tools with URL-level citation data rather than ones that only give you a generic AI visibility score.

One particularly useful feature for your use case is Otterly's API/MCP access: its data includes citations, URLs, prompts, and raw AI response runs, so you could potentially build a product-page × AI-assistant × prompt matrix in your own BI system. Otterly

Yes. What you’re looking for is generally called AI search visibility / AEO (Answer Engine Optimization) monitoring. The key is to track both answer-engine rankings/mentions and the exact URLs being cited.

My shortlist:

• tryprofound.com — probably the strongest choice if this is an enterprise use case. It tracks AI visibility across major assistants and provides citation analysis, so you can see which pages/sources are influencing answers. Independent 2026 benchmarks put it among the strongest platforms for citation analysis and broad AI-search coverage. Benchline Reports Bloomiro
• scrunchai.com — particularly relevant to your “which product pages are being used?” requirement. Its citation reporting drills down to specific URLs, prompts, platforms, competitors, and historical citation trends. Scrunch
• peec.ai — good if your primary goal is monitoring AI share of voice, rankings/position, competitors, and prompt performance across engines. Tracemetry Pinggy
• otterly.ai — a more accessible monitoring-oriented option for tracking how your brand/products appear across AI search engines. Bloomiro
• trendos.com — worth looking at specifically for citation intelligence: it reports the domains and pages AI engines cite for tracked prompts. Trendos

For your specific requirement

I'd evaluate them on this workflow:

Buyer prompt → AI assistant → ranking/mention → cited URL → your product page → competitor product page

For example, you might track:

“best project management software for a 50-person agency”

Then want a dashboard showing:

Scrunch and Profound are the two I'd investigate first if mapping which individual product/content URLs AI assistants actually use is as important as the overall ranking. Scrunch explicitly describes URL-level citation drill-down, while Profound is positioned more toward comprehensive enterprise AI-search measurement. Scrunch Benchline Reports

One important distinction: AI “rankings” aren't equivalent to Google rankings. These platforms generally sample a defined set of prompts repeatedly and calculate visibility/share-of-voice/position from the resulting answers. So I'd treat the numbers as directional monitoring metrics rather than a universal ranking position. Nick Lafferty

If you tell me roughly how many product pages you have and whether you're B2B or ecommerce, I can narrow this down to the best 2–3 tools and compare pricing, AI-engine coverage, URL-level citation tracking, APIs, and competitor monitoring.

What you’re describing is usually called AI visibility tracking, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) software. The tools in this category go beyond traditional SEO rank trackers: they run buyer prompts through AI assistants, record whether your brand/product appears, capture citations, and increasingly map the specific URLs/pages that AI systems use. TechnologyAdvice Lighthouse

For a product company wanting to answer “which of our product pages are being used by ChatGPT, Gemini, Claude, Perplexity, etc.?”, I’d look at:

A good setup for an ecommerce or SaaS product catalog would track:

• Prompt → AI assistant → answer → cited URL - Example: “best CRM for startups” → ChatGPT → recommends competitor → cites /pricing or /comparison-page
• Product-page citation frequency - How often /product-a, /product-b, /category-page appears as a source
• Assistant coverage - ChatGPT vs Claude vs Gemini vs Perplexity differences
• Competitor displacement - “AI recommends competitor X instead of us”
• Content gaps - Which product pages are never cited and what pages competitors have that you don’t

For a product-page map specifically, I would prioritize tools that expose citation URLs or source-level reporting rather than just a visibility score. A workflow many teams use is:

1. Build a prompt library from real buying journeys.
2. Run those prompts weekly across AI assistants.
3. Export cited URLs.
4. Join that data with your product catalog/analytics database.
5. Create a dashboard: - Product page
6. AI engines citing it
7. Number of mentions
8. Competitors cited instead
9. Recommended fixes

If you have a large catalog (hundreds/thousands of SKUs), you may also want a custom pipeline using AI API queries + URL extraction + your product database, because many GEO tools are still optimized around brands and a smaller number of landing pages rather than full catalogs. geopta.com

If you tell me your stack (Shopify, Salesforce Commerce Cloud, Magento, custom, SaaS docs, etc.) and approximate number of product pages, I can suggest the most suitable architecture.

If you mean monitoring “answer engine rankings” (how often ChatGPT, Gemini, Claude, Perplexity, etc. recommend you) and mapping which product URLs those assistants rely on, you’re looking for an AI visibility / Answer Engine Optimization (AEO) platform rather than a traditional SEO rank tracker. These tools track prompts, AI mentions, citations, and the specific pages AI systems use as sources. Elmo PageLens

Some tools to evaluate:

For your specific use case — “which of our product pages are used by different AI assistants?” — I’d prioritize these capabilities:

1. Citation URL tracking

• Example output: - ChatGPT → /products/widget-pro
• Gemini → /compare/widget-pro-vs-x
• Perplexity → /pricing
• Not just “brand mentioned,” but the exact page AI used.
• Prompt-level monitoring

• Track buyer questions such as: - “best [category] software”
• “alternatives to [competitor]”
• “which [product type] should I buy?”
• Then see which product pages win those answers.
• Assistant segmentation

• Separate: - ChatGPT
• Claude
• Gemini
• Perplexity
• Google AI Overviews / AI Mode
• Copilot
• Different models often favor different sources.
• Product catalog mapping

• Import your sitemap/product URLs.
• Classify pages: - product detail pages
• comparison pages
• reviews/testimonials
• docs/help content
• Measure which page types earn citations.

A practical stack might be:

• Enterprise: Profound or EvidentlyAEO + your BI dashboard.
• Mid-market: HubSpot AEO, PageLens, or DeepSmith.
• SEO-heavy team: RankSage-style approach combining Search Console data with AI citations. HubSpot RankSage

One important distinction: these tools generally measure AI answer visibility and citations, not a true “rank #1 in ChatGPT” position, because many AI assistants generate answers dynamically rather than returning a fixed ranked list. PageLens

If you tell me your stack (Shopify, Salesforce Commerce Cloud, Adobe Commerce, custom site, etc.) and whether you care more about B2B product discovery, ecommerce shopping, or enterprise software, I can narrow this to the best 2–3 options.

The category you’re looking for is usually called AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), or AI visibility / AI search intelligence tooling. These platforms monitor whether AI assistants mention your brand, which prompts trigger appearances, and which URLs (including product pages) are cited or used as sources. Profound Omnia

For your specific use case — “which of our product pages are being used by different AI assistants” — I’d look for tools with URL-level citation tracking, not just brand mentions.

Tools worth evaluating

For a product-page use case, I’d set up tracking like this

If you’re an enterprise ecommerce/SaaS company with hundreds or thousands of product URLs, I’d prioritize Profound or a similar citation-first platform. If you’re trying to build an internal dashboard, look for an API/export capability so you can join AI citation data with your catalog and analytics data. Profound cloro.dev

I can also help you build a vendor comparison matrix (enterprise vs SMB, pricing, API access, assistant coverage, and product-page attribution depth).

If your goal is specifically “which product pages are AI assistants actually using/citing, and how does that affect our answer-engine visibility?”, I’d shortlist these:

• otterly.ai — best fit for URL-level monitoring. It tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and has Website Citation Tracking plus a Citation Gap Analysis showing which specific URLs get cited and how frequently. Otterly Otterly
• peec.ai — particularly interesting for your “used by AI” question. Beyond explicit citations, its “Source Used” metric attempts to identify when content from your domain contributed to an AI answer even when the URL wasn't explicitly cited. It also tracks visibility, position, citations and competitors across major AI engines. Peec.ai Docs Peec AI
• tryprofound.com — strong enterprise/AEO option. It lets you drill into citations by platform, topic and prompt and distinguish owned pages from competitor and third-party sources. Profound Profound

What I'd choose

For an ecommerce/product-page team, I'd start with OtterlyAI or Peec AI.

The key dashboard I'd want is essentially:

Peec is especially compelling if “used” rather than merely “cited” is the important distinction for you. Its documentation explicitly defines a metric for content contributing to an answer without receiving a direct citation. Peec.ai Docs

If you tell me roughly how many product pages you have (e.g. 500 vs. 100k) and which AI assistants matter most, I can recommend the best tool and architecture for mapping product page → AI assistant → prompt → citation/use → ranking.

The category you’re looking for is usually called Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), or AI visibility tracking. The tools monitor which AI assistants mention your brand/products, what prompts trigger those mentions, and which URLs/pages are cited. Lighthouse Prefer

For your specific use case — “which of our product pages are used by different AI assistants” — look for tools with URL-level citation tracking, not just brand mentions.

For an ecommerce/product catalogue, I’d evaluate them against these questions:

• Prompt → assistant → cited URL mapping

• Example: “best running shoes for flat feet”
• Which assistants answer?
• Do they cite /products/shoe-x or only blog/category pages?
• Product-page coverage

• Which SKUs/pages are cited?
• Which important products never appear?
• Which competitor pages are being used instead?
• Assistant breakdown

• ChatGPT vs Gemini vs Claude vs Perplexity differences
• Whether a page is consistently cited or only appears occasionally
• Change tracking

• Did adding structured data, FAQs, reviews, comparisons, or product information increase citations?

A practical stack for a product company is often:

1. AI visibility tracker (one of the above) → measure citations and prompts
2. Google Search Console + analytics → see whether AI visibility drives traffic/conversions
3. Content/product audit → improve pages that AI assistants ignore

If you have hundreds/thousands of product pages, prioritize tools that expose the exact cited URL, because a brand-level “you appeared 30% of the time” score won’t tell you which products are winning or losing. RankSage HubSpot

Yes. What you’re describing is usually called AI visibility / AEO (Answer Engine Optimization) tracking: monitor the prompts buyers ask, see which assistants mention your products, and—crucially—map the exact URLs cited.

A few tools look particularly relevant:

• tryprofound.com — Strong fit for enterprise-style citation intelligence. It tracks which sources AI engines cite, across prompts and engines, and lets you analyze the pages/content types earning citations. Profound
• hubspot.com — Tracks visibility across ChatGPT, Gemini and Perplexity and, importantly for your use case, its citation analysis identifies specific pages being referenced in AI answers. HubSpot
• ahoylighthouse.com — Particularly interesting if you want page-level measurement. It says it tracks citations across 10+ AI assistants and scores individual pages. Lighthouse
• ploy.ai — Good if you want to inspect the actual AI answer, including where your page appears and which competitors appear alongside it. Ploy
• truststratus.com — Explicitly offers “Citation Intelligence,” including which URLs earn citations and which pages are being ignored. TrustStratus
• onpagepilot.com — Useful for a more SEO-like workflow: tracked prompts, historical visibility, competitors, and the actual URLs models cite. OnpagePilot

For your specific use case

I'd evaluate them against this data model:

The product-page mapping is the part I'd emphasize when evaluating vendors. Lots of AEO tools give you a headline “AI visibility score,” but that's much less useful than a table like:

“For 127 commercial prompts, Product A was cited 38 times by ChatGPT, 21 times by Perplexity and 14 times by Gemini; /products/a accounted for 91% of those citations.”

Profound, HubSpot AEO, Lighthouse, Stratus, Ploy, and OnPagePilot are the ones I'd put on the initial shortlist based on their currently advertised citation/page-level capabilities. Profound Lighthouse TrustStratus Ploy HubSpot OnpagePilot

If you tell me roughly how many product pages you have and whether you're B2B SaaS, ecommerce, or another category, I can narrow this to the best 2–3 tools and compare pricing, AI-engine coverage, API/export capabilities, and page-level citation tracking.

Yes. What you’re describing is generally called AI search visibility / Answer Engine Optimization (AEO) monitoring: tracking which AI assistants mention your brand, how you rank within their answers, and—crucially—which URLs they cite.

Best fit: otterly.ai

For your specific use case, OtterlyAI looks particularly well aligned. Its AI Search Analytics tracks:

• AI answer rankings/position — where your brand appears relative to competitors.
• Share of voice across prompts and AI engines.
• Citations at the URL level — it shows which of your individual pages AI engines cite and how frequently.
• Prompt → assistant → cited page relationships, which is essentially the mapping you're asking for.
• ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. Otterly Otterly AI
• An API, so you can potentially pipe the citation/page data into your own product analytics or BI system. Otterly Otterly

For example, you could build a report like:

That last dimension—which product URL actually gets selected as the source—is much more useful than simply knowing that your domain was mentioned.

Other tools worth evaluating

• profound.ai — probably the one I'd investigate for a large enterprise program. It's positioned more as a comprehensive enterprise AEO platform and has particularly broad AI-engine/citation monitoring. Bloomiro Agentic SEO Tools
• peec.ai — good if your primary requirement is measuring AI visibility, prompts, competitors and share of voice without needing as extensive an enterprise platform. Tracemetry Conbersa
• semrush.com — worth considering if your team already lives in Semrush and wants AI visibility alongside conventional SEO rather than introducing another platform. Austin Heaton

My shortlist for your requirement: Otterly → Profound → Peec.

One thing I'd insist on during a demo: don't settle for a single "AI visibility score." Ask them to demonstrate the underlying prompt + assistant + response + cited URL + timestamp data. Mentions and citations are different metrics, and the cited product page is the piece that lets you turn the monitoring into an actual content/product-page optimization program. Austin Heaton

If you tell me roughly how many product pages and how many AI assistants you need to monitor, I can narrow this down to the best 2–3 options and compare their page-level citation capabilities.

Yes. What you’re describing is generally called AI search visibility / Answer Engine Optimization (AEO) tracking. The key requirement is that the tool needs to go beyond “is my brand mentioned?” and show which URLs/pages are actually cited by each AI engine.

Best fits

• scrunch.com — probably the closest match to your use case. Its citation reporting can drill down from AI platform → prompt → specific cited URL, and its Site Maps connect individual pages with citations, AI-agent traffic, referrals, and audit scores. Scrunch Help Center Scrunch Help Center
• otterly.ai — strong for ongoing rank/visibility monitoring. It tracks prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, including competitor ranking, share of voice, mentions and cited URLs. It also has Agent Analytics showing which AI crawlers visit which pages on your own site. Otterly Otterly AI
• tryprofound.com — more enterprise-oriented. It monitors answer-engine visibility, competitor rankings and citation sources across ChatGPT, Perplexity, Claude, Copilot, Google AI experiences, Gemini, Grok and DeepSeek. Its citation product specifically lets you see which engines cite your content and across which prompts. Profound Profound

For your specific question

I'd structure the measurement like this:

Prompt → AI assistant → brand/product ranking → cited URL → product page → competitor → change over time

For example:

“What are the best enterprise project-management tools?”

That lets you answer the much more useful question: “Which of our product pages are actually influencing AI answers, and which assistants are using them?”

My pick: Start with Scrunch if the page-level citation mapping is the primary requirement; evaluate OtterlyAI alongside it if rank/visibility monitoring and reporting are equally important. Profound is worth looking at if you're operating at enterprise scale. Scrunch Help Center Otterly Profound

If you tell me roughly how many product pages and how many target prompts you have, I can also compare these three on page-level attribution, API access, historical tracking, AI coverage, and pricing.

If you want to monitor answer engine rankings and map which product pages are being used/cited by AI assistants, you’re looking for an AI visibility / AEO (Answer Engine Optimization) / GEO (Generative Engine Optimization) platform rather than a traditional SEO rank tracker.

A few tools that fit this use case:

For your specific requirement — “which of our product pages are used by different AI assistants” — I’d prioritize these features:

• Citation URL tracking: shows the exact product pages AI assistants link to or rely on.
• Prompt-to-page mapping: e.g., “best running shoes for flat feet” → /products/model-x.
• Engine breakdown: ChatGPT vs Gemini vs Claude vs Perplexity differences.
• SKU/product-level tracking rather than only brand mentions.
• Competitor citation comparison: which competitor product pages are winning instead.

A practical stack many teams use:

1. AI visibility tracker (Searchpanel, Lighthouse, AnswerWatch, etc.) for monitoring.
2. Google Search Console + analytics for downstream traffic validation.
3. A product content system to improve pages that AI assistants fail to cite.

If you have a large catalog (hundreds/thousands of product pages), I’d lean toward a SKU/page-level tool like Searchpanel; if you mainly care about brand/category visibility, Lighthouse, AnswerWatch, or HubSpot AEO are closer fits. Lighthouse Searchpanel HubSpot

Yes — what you’re describing is usually called AI search visibility / AEO (Answer Engine Optimization) tracking.

For your specific use case, I’d shortlist these:

• otterly.ai — probably the easiest starting point. It tracks prompts across ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot, and Claude, including which URLs get cited and how you compare with competitors. Otterly
• tryprofound.com — stronger enterprise option if you need deeper reporting, lots of prompts/products, and broader AI-search intelligence. It's consistently positioned as an enterprise-focused platform. TechnologyAdvice Bloomiro
• ahrefs.com — attractive if you're already using Ahrefs. It can show which domains/pages are cited in AI answers, alongside brand visibility across major AI surfaces. Ahrefs Ahrefs
• foglift.io — particularly close to your requirement: it explicitly tracks the prompts, engines, cited URLs, competitors, position, and sentiment, making it useful for mapping individual product pages to AI answers. Foglift

What I'd measure

For a product business, I wouldn't just track "AI ranking." I'd build a matrix like:

That page-level citation dimension is the important part of your question. You're not merely asking "Does AI mention our brand?" You're asking "Which of our product URLs are actually being used as evidence/recommendations, by which assistant, for which buyer questions?"

My pick: start with OtterlyAI for straightforward monitoring; evaluate Profound if this is an enterprise-wide program. If your primary requirement is specifically mapping AI answers → cited product URLs, I'd also test Foglift head-to-head. Foglift Otterly

If you tell me roughly how many product pages and how many AI assistants you need to monitor, I can recommend the best-fit tool and setup.

Yes. What you’re describing is usually called AI search visibility / Answer Engine Optimization (AEO) monitoring: track where your brand/products appear in AI answers, their “rank” or position, and—critically—which URLs the assistants cite.

Best fits

• tryprofound.com — probably the strongest fit if your main goal is mapping individual product pages to AI citations. Its Pages product provides page-level citation share, citation rank, prompt/topic/platform breakdowns, and lets you track specific URLs. It monitors major answer engines including ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews and Copilot. Profound Knowledge Base Profound

Particularly relevant: Profound has a Citation Pages capability that returns the specific URLs being cited, with citation counts/share and filters for platform, prompt, topic, region, etc. Profound Knowledge Base

• otterly.ai — a good, generally simpler option for ongoing rank/visibility monitoring across AI engines. It tracks prompts daily and reports brand mentions, share of voice, average rank, and the exact URLs cited. It covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. Otterly Otterly

For your specific use case

I'd structure the measurement around something like:

Profound looks like the better match if the “which of our product pages are being used?” question is the centerpiece. Its page-level analytics explicitly connect citations back to individual URLs and can break them down by prompt, topic and platform. Profound Knowledge Base Profound Knowledge Base

OtterlyAI is attractive if you want a lighter-weight monitoring/analytics setup, and it also exposes an API for pulling prompt, citation and visibility data into your own dashboards. Otterly

If you tell me roughly how many product pages you have (e.g. 100, 10K, 1M) and which AI assistants matter most, I can narrow this down to the 2–3 tools I'd actually shortlist, including enterprise options and pricing.

Yes. What you’re describing is generally called AI Search Visibility / AEO (Answer Engine Optimization) tracking: monitor how your products appear in AI answers, their “position,” competitors, and—critically—which URLs the assistants cite.

My first pick: otterly.ai

OtterlyAI looks particularly well matched to your use case because it tracks:

• ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot, and Claude
• Your brand/product mentions and share of voice
• Which exact URLs get cited in AI answers
• Citation frequency and changes over time
• Competitors appearing instead of you
• Performance by prompt, AI engine, and market
• AI shopping results, including which products/attributes get surfaced Otterly Otterly

The URL-level citation tracking is the important part for your question: you could essentially build a map like:

Product A → ChatGPT: /products/product-a → Perplexity: /guides/product-a-vs-b → Gemini: /products/product-a
Product B → ChatGPT: competitor page → Perplexity: /products/product-b → Claude: not cited

Otterly specifically says it tracks every cited URL and identifies which of your pages AI engines actually link to. Otterly

Other tools worth evaluating

There are meaningful differences in what these products call a “rank.” AI answers aren't conventional SERPs, so I'd prioritize answer-level presence + cited URL + citation position + prompt + engine + competitor rather than just an aggregated “AI rank.” xSeek Refine AI

What I'd want in your dashboard

For a product-heavy site, I'd structure the data around product page → AI assistant → prompt → citation, rather than simply tracking your domain.

For example:

Product
  ├── AI engine
  │     ├── Prompt
  │     │     ├── Mentioned?
  │     │     ├── Recommendation/rank
  │     │     ├── Cited URL
  │     │     ├── Citation position
  │     │     └── Competitors cited
  │     └── Trend over time
  └── Total AI visibility

That lets you answer much more useful questions such as “Which product pages are actually becoming sources for AI recommendations?” and “Which products are being recommended but whose own pages aren't being cited?”

If you tell me roughly how many product pages you have (e.g. 100, 10k, 1M) and whether you're B2B, ecommerce, SaaS, or another category, I can narrow this to the 2–3 tools I'd actually shortlist, including how well each handles page-level product mapping.

Yes — the category you’re looking for is AI visibility / AEO (Answer Engine Optimization) monitoring. The key distinction is whether a tool merely tells you “your brand was mentioned” or actually maps which URLs/products were cited, by which assistant, for which prompts.

My shortlist

• otterly.ai — probably the best starting point for a marketing/SEO team. It monitors ChatGPT, Google AI Overviews/AI Mode, Claude, Perplexity, Gemini and Copilot, and specifically tracks brand/website citations. It also has page-level content auditing and an API for accessing prompts/citations programmatically. Otterly
• tryprofound.com — stronger candidate if you're an enterprise and want a deeper AI-search intelligence platform rather than just a rank tracker. It is commonly positioned alongside Otterly and Peec as one of the major enterprise AEO platforms. Agentic SEO Tools NeuralGen
• ahrefs.com — particularly interesting if you're already an Ahrefs customer. Its AI Visibility Index analyzes millions of prompts and provides mentions and citations, including which domains/pages appear alongside a brand. Ahrefs
• foglift.io — worth looking at specifically for your use case because it explicitly exposes which URLs are cited, by engine and prompt, plus position and competitor data. Foglift
• presenc.ai — another option if you want platform-specific tracking; its Perplexity tracker, for example, is explicitly designed to show which of your pages are cited for which queries. Presenc AI

For your particular requirement

I'd define the required data model as:

Prompt → AI assistant → answer → your product mentioned? → ranking/position → cited URL → product/page → competitor → date

For example:

That page-level citation mapping is much more valuable than a generic “AI visibility score,” because it lets you answer questions like:

• Which product pages are AI assistants actually using?
• Which products are being mentioned but not cited?
• Which product pages are never surfaced?
• Which assistant favors which pages?
• Which competitors' product pages are being cited instead?
• Which prompts drive the most product visibility?
• Are changes to a product page increasing its AI citation rate?

For that specific workflow, Otterly, Profound, Ahrefs, and Foglift are the ones I'd investigate first. Ahrefs is especially compelling if you already have SEO data there; Otterly/Foglift are more directly aligned with “show me the URLs AI is citing.” Ahrefs Foglift Otterly

If you tell me roughly how many product pages you have (e.g. 50, 500, 10,000) and whether you're B2B or ecommerce, I can narrow this to the 2–3 tools I'd actually buy and explain how I'd structure the monitoring setup.

If you mean “which of our product pages are being surfaced, cited, or recommended by ChatGPT, Gemini, Perplexity, Claude, etc.”, you’re looking for an AI visibility / Answer Engine Optimization (AEO) platform rather than a traditional SEO rank tracker. These tools typically track prompts, AI answers, citations, competitors, and (in some cases) the URLs/pages that appear in responses. HubSpot Elmo

A shortlist:

For your specific use case — “map which product pages are used by different AI assistants” — I would prioritize these capabilities:

• Citation URL extraction - Example output: - ChatGPT → cites /product-a/features
• Gemini → cites /compare/product-a-vs-product-b
• Perplexity → cites /pricing and /case-study
• Prompt-to-page mapping - “Best CRM for startups” → which product page wins?
• “Alternatives to X” → which comparison page appears?
• Engine segmentation - ChatGPT vs Gemini vs Perplexity vs Claude
• Competitor citation share - Which competitor pages are replacing yours?
• Change tracking - Did a new product page start getting cited after a content update?

A practical setup many teams use:

1. Build a prompt library around buying journeys: - “best [category]”
2. “[competitor] alternatives”
3. “[use case] software”
4. “[product] pricing”
5. Run those prompts weekly across AI assistants.
6. Export cited URLs.
7. Create a dashboard: - AI assistant
8. prompt
9. winning cited URL
10. your URL vs competitor URL
11. product page owner
12. action needed

If you have a large catalog (hundreds/thousands of SKUs), you may also want to combine an AEO tracker with your own crawler/log analysis so you can answer: “Which product detail pages are AI systems discovering, citing, and recommending — and which ones are invisible?” help.webflow.com

Yes — what you’re describing is usually called AI search visibility / AEO (Answer Engine Optimization) tracking. It’s different from traditional SEO rank tracking because the key question is which brands and URLs AI assistants actually mention or cite in their answers. Tracemetry Pinggy

Tools I’d shortlist

• tryprofound.com — strongest choice if you’re an enterprise team. It tracks visibility across multiple AI engines and is geared toward understanding AI-sourced traffic, citations, competitors, and content opportunities. PickMySoft DataDab
• peec.ai — good marketing/SEO-oriented option for monitoring prompts, visibility, competitors, and how your brand appears across AI answers. Tracemetry DataDab
• otterly.ai — worth looking at if you want a relatively accessible monitoring tool focused on AI search visibility and prompt tracking. PickMySoft DataDab
• zumihq.com — particularly interesting for your product-page mapping requirement: it says it ranks the citations driving AI answers and can monitor up to nine AI engines. Zumi
• citations.io — has an explicit Citation Map showing URLs/domains cited for tracked prompts, plus visibility by product line, competitor SOV, and answer archives. Citations.io

For your specific use case

I'd evaluate them against this data model:

Prompt → AI assistant → answer → brand/product mentioned → cited URL → your product page → competitor/cited page

The important capability isn't merely "Does ChatGPT mention us?" You want to know:

For which buyer questions is Product A cited/recommended by ChatGPT, Gemini, Perplexity, Claude, etc., and exactly which URL is being used?

For example:

Citations.io and Zumi look especially aligned with the URL/citation-mapping half of your requirement, while Profound is the one I'd investigate for a larger enterprise-grade program. Citations.io Zumi PickMySoft

One caveat: AI assistants don't expose a universal, stable "ranking" equivalent to Google position #3. The useful metrics are usually mention rate, share of answer/voice, citation rate, cited URL, prominence, sentiment, and change over time. Tracemetry pagelens.ai

If you tell me roughly how many product pages you have (e.g. 50 vs. 50,000) and whether you're B2B or ecommerce, I can narrow this to the 2–3 tools I'd actually pilot.

Yes. For what you described, I’d look first at Scrunch and Profound.

Best fit: Scrunch

scrunch.com is particularly aligned with the “which of our product pages are AI assistants actually using?” question.

It can:

• Monitor your brand’s presence and position across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, etc. Scrunch Scrunch Help Center
• Show the exact URLs cited in AI answers, including your own product pages. You can drill from domain → individual URL → prompts that cited that URL. Scrunch Help Center
• Map page-level performance through its Site Map, including citations, AI-agent traffic and AI referrals. Scrunch Help Center
• Compare which AI platforms cite which pages, and connect individual pages to the prompts where they appear. Scrunch
• Track product-level AI search performance as well. Scrunch

So you could build something like:

That is very close to the mapping you're asking for.

Strong alternative: Profound

tryprofound.com is arguably stronger if your primary concern is enterprise-level AI visibility/rank tracking.

It monitors the front-end experiences of ChatGPT, Perplexity, Claude, Copilot, Google AI Overviews/AI Mode, Gemini, Grok and DeepSeek, and tracks visibility, share of voice, position, competitors and citations. Profound

Its citation analysis also lets you identify which sources AI engines are using and analyze citation share by platform, topic and prompt. Profound

My recommendation

If your core question is:

“For each product page, which AI assistants cite/use it, for which queries, and how is that changing?”

I'd shortlist Scrunch first.

If the bigger question is:

“How do we rank/share-of-voice against competitors across hundreds or thousands of AI queries?”

I'd put Profound first.

One important distinction: these tools generally measure observable AI responses and citations, not every instance where a model may have retrieved or used your page internally without exposing it as a citation. Scrunch explicitly distinguishes cited URLs from broader AI-agent crawling/traffic. Scrunch Help Center Scrunch Help Center

If you tell me roughly how many product pages you have and which assistants matter most (ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, etc.), I can give you a tighter Scrunch vs. Profound vs. other tools comparison, including which one is best for building a product-page × AI-assistant matrix.

Yes. What you’re looking for is generally called AI search visibility / AEO (Answer Engine Optimization) / GEO monitoring. The key distinction is that you want page-level citation tracking, not just brand mentions.

My first pick: OtterlyAI

otterly.ai is probably the closest match to your requirements.

It can track:

• AI visibility/rankings across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, and Copilot.
• Custom buyer prompts over time, so you can monitor questions such as “best [category] for X.”
• Share of voice and competitor position within answers.
• Every cited URL, including which pages on your domain are actually being cited.
• Citation frequency and changes over time.
• Product/AI-shopping results, which is particularly relevant if you have a large product catalog. Otterly Otterly

So you could effectively build a matrix like:

That's much closer to the "which of our product pages are AI assistants using?" question than conventional SEO rank tracking.

Other tools I'd evaluate

• ahrefs.com — strong if you're already an Ahrefs customer. It reports the specific pages cited alongside your brand, as well as visibility by AI platform and topic. Ahrefs
• tryprofound.com — worth looking at for a larger enterprise program; it is specifically focused on measuring how brands and content appear inside AI-generated answers.
• citations.io — simpler option focused heavily on citations, source URLs, visibility and competitor sources across ChatGPT, Gemini, Perplexity and Claude. Citations
• genxtrim.com — particularly interesting if you care about product-level discovery/recommendation, rather than merely whether your corporate brand is mentioned. GenXtrim

One important caveat

Don't define the KPI as simply "AI ranking." AI answers are much less deterministic than Google rankings. A better measurement framework is:

Prompt → AI assistant → brand/product mentioned → position in answer → cited URL → specific product page → competitor cited instead

That lets you answer the commercially useful questions:

1. Which buying questions do we appear for?
2. Which assistants recommend us?
3. Which product/category pages are they using as sources?
4. Which products are being recommended without our pages being cited?
5. Which competitor pages are replacing ours?
6. Which product pages are completely invisible to AI?

For a company with hundreds/thousands of product pages, I'd lean toward OtterlyAI or Profound, rather than a lightweight brand-mention tracker. Otterly in particular explicitly supports URL-level citation tracking and API access, which could let you join AI citation data against your own product catalog. Otterly Otterly

If you tell me roughly how many product pages you have and which AI assistants matter (ChatGPT, Gemini, Perplexity, Copilot, etc.), I can narrow this to the best 2–3 tools and compare their page-level tracking, API, scale, and pricing.

Yes. What you’re describing is generally called AI search / answer-engine visibility monitoring (AEO/GEO), and there are now tools that go beyond simply tracking whether your brand is mentioned.

Best fit: tryprofound.com

I’d put Profound at the top of your shortlist if the key requirement is:

“For each product page, tell me which AI assistants cite it, for which prompts, and how that compares with competitors.”

Its Pages product combines page-level citation data with AI-agent activity. You can see which individual URLs are being cited, the prompts/topics/platforms generating those citations, citation share/rank, and trends over time. Profound Knowledge Base Profound

It also monitors the front-end experiences of ChatGPT, Perplexity, Claude, Google AI Overviews/AI Mode, Gemini, Copilot, Grok and DeepSeek, rather than relying solely on API-generated answers. Profound

Strong alternative: scrunch.com

Scrunch is particularly interesting for the second half of your question—mapping the relationship between AI answers → citations → your URLs.

Its citation reporting lets you drill down from a cited URL to the prompts that cited it and see which AI platforms cite that page. Scrunch Help Center Its Site Maps feature also gives a page-level view including citations, AI-bot traffic, AI referrals and page health. Scrunch Help Center

It currently monitors nine major platforms, including ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and Meta AI. Scrunch Help Center

How I'd evaluate them

My recommendation: if you're running a sizable product catalog, start by evaluating Profound vs. Scrunch, with particular attention to their ability to export a dataset like:

Product URL → Product → Prompt → AI assistant → Mentioned? → Position → Cited? → Citation rank → Competitor cited → Date

That's the data model I'd want behind an “AI shelf/ranking” dashboard for your product catalog. Profound's page-level reporting looks especially aligned with that use case. Profound Knowledge Base

If you tell me roughly how many product pages you have and which AI assistants matter most (ChatGPT, Gemini, Perplexity, Claude, etc.), I can narrow this down to the 2–3 tools I'd actually trial and explain what each can/can't map at the URL level.

Yes. What you’re describing is usually called AI search visibility / Answer Engine Optimization (AEO) monitoring: tracking where your brand/products appear in AI answers, which prompts trigger them, and—critically—which URLs get cited.

Best fit: OtterlyAI

OtterlyAI is probably the closest match to your use case.

otterly.ai

It can:

• Track answer-engine rankings/visibility across ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude. Otterly Otterly
• Track individual prompts and whether your brand appears, where it appears, and how competitors compare. OtterlyAI
• Map AI citations down to the URL level—i.e., which of your actual product/content pages are being cited, and which prompts cited a particular URL. Otterly OtterlyAI
• Analyze AI-agent/crawler traffic to your site, including which AI agents visit which pages. Its Agent Analytics can break pages down by engine. OtterlyAI
• Export the data through an API, which is useful if you want to build your own product-page × AI-assistant matrix. Otterly

So you could ultimately have something like:

That distinction is important: “Does the AI mention our brand?” and “Does the AI actually use/cite our product page?” are different metrics.

Another strong option: Profound

Profound is particularly worth evaluating if you're an enterprise/e-commerce organization.

tryprofound.com

Its Answer Engine Insights tracks visibility, share of voice, competitor rankings and citations across ChatGPT, Perplexity, Claude, Gemini, Copilot, Google AI experiences, Grok and DeepSeek. Profound Profound

For product/SKU-level analysis, Profound has a dedicated Shopping product that tracks how products surface in ChatGPT Shopping, including SKU-level citations and the queries that trigger products. Profound

My recommendation

If your primary question is:

“Which of our URLs are being used by which AI assistants, for which customer questions?”

I'd start with OtterlyAI.

If the bigger question is:

“How do our products rank/recommend against competitors across AI shopping and answer engines?”

I'd put Profound on the shortlist too.

One caveat: these platforms measure simulated/observed AI answers and citations, not a universal underlying “AI ranking” equivalent to Google Search Console rankings. AI answers are inherently variable, so you want prompt-level trends and citation frequency rather than treating a single answer as a fixed rank. Profound axios.com

If you tell me roughly how many product pages you have and whether you're B2B, ecommerce, or SaaS, I can narrow this to the 3–5 tools I'd actually evaluate and compare them on URL-level citation tracking, AI-assistant coverage, product/SKU support, API access, and price.

If you mean monitoring “answer engine rankings” (AEO/GEO) and mapping which product URLs get cited by AI assistants, you’re looking for an AI visibility / citation tracking platform, not a traditional SEO rank tracker.

Tools that fit this use case:

For a product catalog / ecommerce use case, I’d evaluate specifically for these capabilities:

1. URL-level citation mapping
   • “ChatGPT cited /product/widget-pro”
   • “Perplexity cited /compare/widget-pro-vs-x”
   • “Gemini used our FAQ page instead of the PDP”

2. Prompt-to-product attribution
   • Track prompts like:
     • “best CRM for startups”
     • “best running shoes for flat feet”
     • “alternatives to [competitor]”
   • See which product pages appear in the generated answer.

3. Assistant segmentation
   • ChatGPT vs Claude vs Gemini vs Perplexity
   • Different assistants often surface different sources.

4. Competitor citation gap analysis
   • “Competitor A appears in 42% of buyer prompts; your product pages appear in 12%.”

A practical stack many teams are building is:

• AI visibility tracker (one of the tools above) → measure citations/rankings
• Google Search Console + analytics → measure downstream traffic/conversions
• Product catalog/content database → map cited URLs back to SKUs/products
• Log analysis (server/CDN logs) → see AI crawler activity (GPTBot, ClaudeBot, PerplexityBot, etc.)

If your goal is specifically “which of our thousands of product detail pages are being used by ChatGPT/Gemini/Claude answers?”, prioritize tools that expose raw citation URLs and exports, rather than just an AI visibility score. www.hubspot.comploy.ai

If you want to monitor Answer Engine Optimization (AEO) / Generative Engine Optimization (GEO) performance and see which of your product pages are being cited or used by AI assistants, you’re looking for an AI visibility monitoring platform rather than a traditional SEO rank tracker. These tools generally track prompts, AI responses, citations, and the URLs AI systems reference. rankable.aisearchengineland.com

Good options:

For your specific use case — “which of our product pages are used by different AI assistants?” — I’d prioritize these capabilities:

1. Citation URL tracking
   • Example output:
     • ChatGPT → cited /products/widget-pro
     • Perplexity → cited /compare/widget-pro-vs-x
     • Gemini → referenced /docs/widget-pro
   • This is more valuable than a simple “brand mentioned/not mentioned” score.

2. Prompt-to-page mapping
   • Track:
     • “best CRM for small teams”
     • “alternatives to Salesforce”
     • “product X vs product Y”
   • Then see which of your URLs appear in answers.

3. Assistant segmentation
   • Separate visibility by:
     • ChatGPT
     • Claude
     • Gemini
     • Perplexity
     • Google AI Overviews / AI Mode (where available)

4. Product catalog coverage
   • Import your sitemap/product URLs.
   • Identify:
     • pages never cited
     • pages cited frequently
     • pages cited by one AI but ignored by others

A practical stack for a product company would be:

• Enterprise: Profound + your existing SEO platform technologyadvice.comwww.ahoylighthouse.com
• Mid-market: Lighthouse or Peec AI + Google Search Console/GA4 www.ayrank.comwww.ahoylighthouse.com
• Early-stage: Otterly.AI or a free AI visibility checker to establish baseline visibility www.ayrank.com

One thing to watch for: many tools measure brand mentions, but fewer truly answer “which exact product URL did the AI use?” If that page-level citation map is your main requirement, filter vendors specifically for citation/source URL tracking, not just AI rank tracking. technologyadvice.comwww.ahoylighthouse.com

Yes. What you’re describing is usually called AI visibility / GEO (Generative Engine Optimization) monitoring. The key feature to look for is citation-level tracking, not just whether your brand was mentioned.

Tools I’d shortlist

For your specific use case

I'd prioritize Lighthouse or Profound if you have a substantial product catalog.

The data model you want is essentially:

Buyer prompt → AI assistant → your rank/mention → cited URL → your product page → competitor cited URL

For example:

“What are the best running shoes for marathon training?”

That lets you answer a much more useful question than “Are we visible in AI?”: “Which of our product pages are actually becoming sources for AI recommendations, on which assistants, for which commercial questions?”

Lighthouse explicitly says it scores individual pages and maps citation sources to your domain, while Foglift explicitly exposes the URLs cited by each engine. foglift.iowww.ahoylighthouse.com

One caveat: AI “rankings” aren't equivalent to Google rankings. Responses can vary by prompt, model, location, personalization and time. The better platforms therefore run standardized prompts repeatedly and report share of voice, position, mentions and citations rather than pretending there's one permanent AI rank.

If you tell me roughly how many product pages you have (100 / 1,000 / 100k+) and which assistants matter most, I can narrow this to the 2–3 tools that are actually suited to your scale, including pricing and API/export capabilities.

Yes — you’re looking for an AI visibility / AEO (answer-engine optimization) monitoring platform, but specifically one that goes beyond “does our brand appear?” and shows which URLs/product pages are being cited by which AI assistants.

My shortlist

For the exact use case you described, I'd start with OtterlyAI. Its citation tracking explicitly records which domains and URLs AI search experiences reference, so you can build the mapping you want:

AI assistant → customer prompt → your product → cited product URL → competitor URLs → position/mention

For example:

The important distinction is that traditional rank trackers aren't enough. You want a platform that captures the answer and its citations, because AI search doesn't behave like a conventional Google #1–#10 SERP. Current AEO tools generally measure mentions, share of voice, citations and source URLs instead. trustdata.tech

If you're doing this for a large ecommerce/product catalog, I can also compare Profound vs. Otterly vs. Peec vs. Scrunch specifically on URL-level citation tracking, API access, product-level reporting, and ability to export the data into your warehouse/BI stack.

If you’re trying to answer “which AI assistants mention us, for which prompts, and which product pages are being cited or surfaced?”, you’re looking for an AEO (Answer Engine Optimization) / AI visibility monitoring platform. The strongest options right now are:

For your specific use case — mapping product pages to AI assistants — I’d prioritize these capabilities:

1. Prompt → AI assistant → cited URL mapping
   • Example output:
     • Prompt: “Best CRM for mid-market SaaS”
     • Assistant: ChatGPT
     • Mentioned product: Product A
     • Citation: /products/product-a
     • Competitor citations: /pricing, /comparison-page

2. URL citation reporting
   • Which product pages are being used as sources?
   • Which pages are ignored?
   • Are AI systems citing product pages, documentation, reviews, or third-party content?

3. Assistant segmentation

Track separately:

• ChatGPT
• Gemini
• Perplexity
• Claude
• Copilot
• Google AI Overviews

4. Product-level dashboards

Group prompts by:

• Product line
• Category
• Buyer persona
• Funnel stage

A practical stack many teams use:

• Ahrefs Brand Radar → broad visibility + cited pages
• Profound or similar enterprise AEO tools → deeper AI answer monitoring
• Your own crawl/log pipeline → tie citations back to SKU/product IDs in your CMS

If your goal is specifically “show me every product page that ChatGPT/Claude/Gemini/Perplexity have cited in the last 30 days”, I’d evaluate enterprise AEO tools first because that is closer to citation intelligence than traditional rank tracking. cloro.devahrefs.com

Yes. What you’re describing is AI search / AEO (Answer Engine Optimization) visibility tracking, with an important second requirement: page-level citation attribution.

A few tools stand out:

For your specific use case

I'd shortlist Lighthouse and Visibility.so.

Lighthouse is particularly close to what you're asking for because it says it scores every page and connects recommendations to individual pages. That makes it useful if you have, say, 500 product pages and want to know:

Product Page A → cited by ChatGPT 18 times, Gemini 7 times, Perplexity 12 times
Product Page B → never cited
Product Page C → heavily cited by Perplexity but not ChatGPT

www.ahoylighthouse.com

Visibility.so is stronger if your primary workflow is more like an SEO rank tracker: define your important customer prompts/queries, then monitor position, share of voice, competitors, exact AI answers, and the URLs cited in those answers over time. visibility.so

One thing I'd verify before buying

Your requirement is slightly more sophisticated than ordinary "AI visibility":

You don't just want to know whether your brand appears. You want a mapping of:

customer prompt → AI assistant → answer → cited URL → product/page → competitor → rank/position → historical change

I'd specifically ask vendors whether they can export that relationship at the URL/product level via API, rather than merely showing "top cited pages" in a dashboard.

If you tell me roughly how many product pages you have (e.g. 100, 10K, 1M) and whether you're B2B SaaS, ecommerce, or another type of product, I can narrow this to the 2–3 tools that are actually suitable and compare pricing/API capabilities.

Yes. What you’re describing is usually called AI Search Visibility / GEO / AEO monitoring: tracking how your products appear in AI answers, then identifying the URLs those systems actually cite.

My top picks

Profound is probably the closest match to your exact requirement. It tracks prompts across answer engines and lets you see which sources/URLs are being cited, including your owned pages versus competitors and third-party sources. It also supports analysis by platform, topic, and prompt. www.tryprofound.com

OtterlyAI is particularly interesting if you want a practical URL-level monitoring layer. Its citation reporting shows the prompts in which a particular URL was cited, which AI engine produced the citation, and whether your brand appeared in the answer. It currently covers ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and others. otterly.ai

Peec AI also explicitly tracks the sources/citations used by ChatGPT and other AI engines, and lets you compare visibility across models. peec.ai

For your use case, I'd structure the measurement like this

Instead of thinking about an "AI ranking" as a traditional Google position, build a matrix:

Product page → Prompt → AI assistant → Citation → Position/prominence → Competitors

For example:

/products/widget-a
→ “best widgets for enterprise teams”
→ ChatGPT
→ cited
→ citation #2
→ competitor X cited #1

Then aggregate that into metrics such as:

• AI visibility/share of voice by product
• Citation rate for each product URL
• Which assistants cite each product page
• Which prompts trigger each product page
• Average citation prominence
• Competitor pages cited instead of yours
• Product pages that never get cited
• AI assistant differences — e.g. Product A dominates ChatGPT but Product B dominates Gemini
• Citation trends over time

One important distinction: AI assistants don't generally have a conventional 1–10 ranking, so I'd avoid building the dashboard around "rankings." Current tools instead measure visibility, mentions, citation frequency, prominence/position, and share of voice. peec.ai

If you have a large catalog of product pages, I'd lean Profound first, then OtterlyAI. The critical evaluation question for a vendor demo is: “Can I export a URL-level dataset showing every owned product URL cited, the exact prompt, the AI engine, date, and competitor URLs cited alongside it?” That will tell you very quickly whether it can actually support the mapping you're after.

Yes — what you’re describing is AI search / answer-engine visibility (AEO/GEO) monitoring, and there are a few tools that fit particularly well.

My top picks

1. Profound — best for enterprise-level answer-engine intelligence

This is probably the closest match if your goal is:

• Track rankings/visibility across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews/AI Mode, Copilot, etc.
• See exact URLs/pages that AI engines cite
• Map citations by prompt, engine, topic, competitor, and time
• Identify which of your product pages are winning or losing citations
• Compare your citation share with competitors

Profound explicitly lets you see which sources AI pulls from and which owned pages are being cited. www.tryprofound.com

2. Peec AI — best for product/page-level analysis

This may actually be the most interesting one for your specific use case. Peec tracks:

• AI ranking/position
• Mentions and share of voice
• Sources and citations
• Individual URLs
• Which pages are retrieved vs. merely mentioned
• Product visibility in AI shopping results
• Competitor comparisons

Its URL-level data model is specifically designed to answer whether an AI is actually retrieving/citing a particular page. For ecommerce, it also has product-level visibility tracking, including which products appear in ChatGPT shopping recommendations. peec.ai

3. OtterlyAI — best simpler monitoring option

Otterly tracks ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude, including rankings, mentions and citations. Its citation reports let you inspect the URLs being used by AI answers. help.otterly.ai

An especially relevant feature for your question is Agent Analytics: Otterly can show your top pages visited by AI agents, with a per-engine breakdown. So you can distinguish something like:

/product-a → ChatGPT + Perplexity + Claude
/product-b → Gemini only
/product-c → rarely/never retrieved

It also distinguishes on-demand AI fetchers from search crawlers and training/data-scraping bots. help.otterly.aipeec.ai

What I'd choose

For your exact question, I'd start with Peec + OtterlyAI. They approach the problem from two complementary directions: Peec tells you which pages are influencing AI answers, while Otterly can show which AI agents are actually coming to those pages. Peec even separates "sources" (URLs accessed) from "citations" (URLs explicitly shown in the answer), which is an important distinction. help.otterly.aipeec.ai

If you tell me whether you're B2B SaaS, ecommerce, marketplace, or another type of business, I can narrow this down to the best 2–3 tools and explain exactly how I'd build a "product page → AI assistant → prompt → citation → ranking" monitoring system.

Yes. What you’re describing is usually called AI search visibility / AEO / GEO tracking: you want to monitor both where your brand ranks in AI-generated answers and which specific URLs those assistants cite.

A few tools look particularly relevant:

• Lighthouse — probably the closest match to your use case. It says it scores individual pages, tracks citations across ChatGPT, Claude, Gemini, Perplexity and other assistants, and ties recommendations to specific pages. omc.ahoylighthouse.com
• Indexly — tracks mentions, citations, sentiment and AI referral traffic, and captures the source URLs used in AI answers. indexly.ai
• DeepSmith — particularly useful if you want to distinguish brand mentions vs. actual citations, see cited pages, competitors, and monitor prompts over time. deepsmith.ai
• Foglift — explicitly reports cited URLs, position changes, visibility, and competitor source sets across ChatGPT, Perplexity, Gemini, Claude and Google AI. foglift.io
• Citation Radar — emphasizes competitor share of voice and the pages driving citations, which is useful for identifying content/product-page gaps. www.citationradar.ai

For your specific requirement

I'd evaluate them on this data model:

Prompt → AI assistant → answer → your rank/position → cited URL → product/page → competitor → date

For example:

The URL-to-product mapping is the important distinction. Lots of AEO tools tell you “your brand was cited”, but for an ecommerce/content team you really want to know which SKU/product/category page earned the citation and which assistants prefer which pages.

If you're evaluating vendors, I'd prioritize Lighthouse, Indexly, DeepSmith, and Foglift for that particular requirement, and ask each for a live demo showing a page-level citation report, rather than just a brand-level visibility score.

If you want to monitor answer engine rankings (AEO/GEO) and map which product pages are being cited or used by AI assistants, you’re looking for an AI visibility / AI citation tracking platform rather than a traditional SEO rank tracker. These tools typically track prompts, AI answers, citations, competitor mentions, and the URLs AI systems reference. searchengineland.comnightwatch.iowww.ahoylighthouse.com

Good options:

For your specific use case — “which of our product pages are used by different AI assistants” — I’d prioritize tools that provide a citation URL export or page-level attribution:

1. Create a prompt library
   • “best [product category]”
   • “compare [product A] vs [product B]”
   • “alternatives to [competitor]”
   • “which [products] should I buy for [use case]?”

2. Run those prompts across assistants
   • ChatGPT
   • Claude
   • Gemini
   • Perplexity
   • Copilot (if relevant)

3. Capture:
   • Was your brand mentioned?
   • Was your domain cited?
   • Which exact URL was cited?
   • Was it a product detail page, comparison page, review page, help article, or category page?
   • Which competitors appeared instead?

4. Build a citation map, e.g.:

If you have hundreds or thousands of SKUs, I would look for a platform with:

• API access
• scheduled scans
• URL-level citation exports
• prompt clustering
• competitor tracking

For an enterprise ecommerce catalog, I’d lean toward Profound or Lighthouse-style tooling; for a marketing/SEO team, Nightwatch, HubSpot AEO, or DiscoveredBy may fit better. www.ahoylighthouse.com

One important distinction: these tools usually measure AI citations and inclusion, not a true “ranking position” like Google. AI assistants often generate different answers per user, model version, location, and context, so the useful metric is usually share of AI answers + citation share + which pages are selected. usesurfaced.com

For what you’re describing — monitoring answer engine rankings and mapping which product pages are being cited/used by AI assistants — you’re looking for an AI visibility / Answer Engine Optimization (AEO) platform rather than a traditional SEO rank tracker. These tools typically track prompts, AI-generated answers, citations, and the URLs that appear as sources. technologyadvice.com

A few tools that fit:

For a product-page attribution map, I’d prioritize these capabilities:

1. Prompt → AI assistant → cited URL mapping
   • Example: “best running shoes for flat feet” → ChatGPT → /products/model-x
2. Product/entity visibility
   • How often each SKU or product page is recommended.
3. Citation source breakdown
   • Your PDPs vs reviews vs Reddit vs publishers vs competitors.
4. Assistant segmentation
   • ChatGPT vs Gemini vs Claude vs Perplexity differences.
5. Historical tracking
   • Whether a product page is gaining or losing AI visibility.

If you’re an ecommerce brand with hundreds/thousands of product pages, I’d lean toward a product-focused tool such as Auspex or a page-citation-focused platform like Lighthouse. For a larger SEO/content team managing enterprise visibility, Profound is closer to a full AI search intelligence layer. technologyadvice.com

A useful internal data model is:

AI assistant → prompt → answer → cited URLs → product page → product/SKU → conversion impact

That lets you treat AI assistants like a new acquisition channel, similar to organic search. www.reuters.com

Yes. What you’re describing is usually called AI search visibility / AEO / GEO monitoring. The key is to distinguish brand mentions from actual page-level citations—you want to know not just “does ChatGPT mention us?” but “which exact product URL did it use as evidence?”

Tools I’d shortlist

The market has moved toward tracking mentions, citations, source URLs, share of voice, competitors, and changes over time, rather than treating AI answers like conventional Google rankings. tracemetry.com

For your specific use case, I'd look hardest at Profound or Peec

Profound is probably the strongest choice if you have a substantial catalog and want an enterprise-grade answer to:

“For each buyer question, which of our URLs are AI assistants actually citing?”

Peec AI is attractive if you want a more accessible monitoring/research workflow: track a set of commercial prompts, see how you and competitors appear, and inspect the sources behind the answers. www.theanswerengine.ai

And if you already have Semrush, its AI visibility layer is worth evaluating because it puts AI visibility alongside traditional rankings, backlinks, and SEO data. www.techradar.com

One important distinction

I'd define your data model around URL-level citation attribution, something like:

AI assistant → prompt → response → cited URL → product/SKU → citation position → competitor URLs

That lets you build a much more useful report:

Product A: cited by ChatGPT for 14/50 relevant prompts, Perplexity 9/50, Gemini 6/50
Product B: mentioned frequently but almost never linked
Product C: not mentioned despite ranking #2 in Google
Competitor X: cited instead of us for 37% of high-value prompts

That last comparison is particularly important because AI answer engines don't necessarily select sources in the same way traditional search rankings do; research on Google AI Overviews, for example, has found cited pages that don't appear in the conventional first-page results. arxiv.org

If you tell me roughly how many product pages you have (e.g. 100, 10K, 1M) and which assistants matter—ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc.—I can narrow this down to the 2–3 tools that actually fit and explain how I'd architect the product-page → AI-citation mapping.

Yes. What you’re describing is usually called AI search visibility / Answer Engine Optimization (AEO/GEO) tracking. The key is to track citations at the URL level, not just whether your brand is mentioned.

Tools I’d shortlist

For your specific use case

I'd structure the measurement around a matrix like:

Buyer prompt → AI assistant → answer → cited URL → product/page → competitor cited → position/prominence → date

For example:

“What are the best [product category] for enterprise teams?”

Then you'd want to see:

• ChatGPT: Product Page A cited
• Perplexity: Product Page B cited
• Gemini: Category Page C cited
• Claude: Competitor X cited
• Google AI Mode: Product Page A + third-party review cited

That lets you build a product-page × AI-assistant citation map, which is much more actionable than a generic "AI visibility score."

One important caveat: don't treat an AI "ranking" like a Google ranking. AI answers are stochastic, and research has found meaningful variation between repeated runs of the same prompt. arxiv.org So I'd track citation frequency/share, prominence, and URL-level coverage over repeated samples, rather than claiming a page is definitively "#2 in ChatGPT."

My pick: start with OtterlyAI or Peec for a relatively straightforward monitoring setup; look at Profound if you have a larger enterprise SEO/content operation and want deeper competitive/source intelligence. If your primary requirement is specifically "which of our hundreds/thousands of product URLs are getting cited by which AI assistant?", I'd evaluate the tools specifically on their URL-level citation export/API, because that's the feature that matters most for building your product-page map. Otterly, for example, explicitly offers an API for reports, prompts and citations. otterly.ai

Yes. What you’re describing is usually called AI search visibility / AEO / GEO monitoring: tracking how often your brand ranks or gets mentioned in AI answers, which URLs are cited, and which competitors are being surfaced.

Best fit: OtterlyAI

OtterlyAI is particularly close to your use case. It can:

• Monitor prompts across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Claude, and Copilot. help.otterly.ai
• Track brand visibility and competitive rankings for those prompts. help.otterly.ai
• Show the specific URLs cited in AI answers.
• Analyze which pages on a domain are cited most often and identify citation/content gaps. help.otterly.aiotterly.ai
• Track changes in URL citation position over time and export the data for reporting. help.otterly.aiotterly.ai

So you could build something like:

Prompt: “Best project-management software for agencies”
ChatGPT: Your product page /product/agencies → cited
Perplexity: /compare/agency-tools → cited
Gemini: competitor page → cited
AI visibility rank: #2
Citation share: X%
Trend: ↑

Another strong option: Profound

Profound is more enterprise/AEO-oriented. Its citation tooling specifically tracks which answer engines cite your content, how frequently, and across which prompts, then lets you analyze the sources and pages driving citations. www.tryprofound.com

How I'd choose

One important caveat: AI “rankings” aren't as deterministic as Google rankings. AI answers can vary between runs, so a good system should aggregate many observations rather than treat a single answer as a definitive rank. Recent research specifically finds substantial variability in citation rankings across repeated AI-search queries. arxiv.org

If your actual goal is “show me every product URL of ours that ChatGPT/Perplexity/Gemini cite, mapped by prompt → assistant → URL → competitor → position”, I can also lay out the best tool stack and data schema for building that dashboard.

Yes. For the specific job you described—monitoring answer-engine rankings and identifying which of your own product URLs get cited by each AI assistant—I’d look at these:

For your exact use case, I'd start with OtterlyAI

Its Citations Report specifically tracks the URLs AI engines use as sources, with filters by engine, date, country, etc. Its prompt analysis also shows the actual AI responses and the URLs cited in them. help.otterly.ai

So you could build a dataset like:

Prompt: "best project management software for agencies"

Engine       Brand rank    Cited URL
ChatGPT      #2            /products/agency-pro
Perplexity   #1            /products/agency-pro
Gemini       #4            /compare/agency-tools
AI Overview  #3            /products/agency-pro
Claude       #2            /products/agency-pro

That lets you answer the much more useful question than simply "Are we visible in AI?":

"Which product pages are AI engines actually selecting as evidence, for which buyer questions, and which assistants prefer which pages?"

Profound is particularly interesting if you want to go deeper into this. Its citation tooling explicitly lets you see which answer engines cite your content, how often, and across which prompts, and use that data to decide which pages to create or optimize. www.tryprofound.com

One important distinction: AI visibility ≠ AI citation. A product can be mentioned in an answer without its product page being cited. I'd therefore track brand mention, answer position, cited URL, citation position, engine, prompt, and product/page type separately. Research also suggests citation behavior differs substantially between engines. arxiv.org

If you tell me roughly how many product pages/prompts you need to monitor and which assistants matter (ChatGPT, Gemini, Perplexity, Claude, Copilot, Google AI), I can recommend the best tool and setup for your situation.

Yes. What you’re describing is usually called AI search visibility / AEO / GEO monitoring: tracking where your brand/products appear in AI-generated answers, which sources get cited, and which of your URLs are being surfaced.

Best fits for your use case

For the exact question you asked, I'd start with OtterlyAI or Profound.

OtterlyAI currently monitors ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Microsoft Copilot and Claude, and runs tracked prompts daily. help.otterly.ai Its citation reporting can identify the actual URLs appearing in AI answers, not merely whether your domain was mentioned. otterly.ai

The dashboard I'd want for a product catalog

For each product/page, I'd want something like:

Product: Acme Widget Pro
URL: /products/widget-pro

AI engine        Prompt                         Position   Cited URL
ChatGPT          "best X for Y"                 #2         /products/widget-pro
Perplexity       "compare X products"           #1         /products/widget-pro
Gemini           "X alternatives"               #4         /products/widget-pro
Google AI Mode   "best X for..."                 #3         /products/widget-pro
Claude           "which X should I buy?"        —          /guides/best-x

Then aggregate it into:

• AI share of voice by product
• Average answer position
• Citation rate by product page
• Which exact URLs AI assistants cite
• Which products are mentioned but not linked
• Which competitor pages are cited instead
• Which prompts cause each product to appear
• Engine-by-engine differences
• Citation trends over time

One important distinction: “our domain was cited” isn't enough. You specifically want URL-level citation tracking, because an AI assistant might cite your /blog/comparison page while completely ignoring the actual /products/product-a page. Otterly's citation reporting is explicitly designed to expose the URLs/domains being used as sources. otterly.ai

If you tell me roughly how many product pages you have (e.g. 50, 500, 50,000) and whether you're mainly interested in ChatGPT/Perplexity/Gemini or all AI engines, I can narrow this to the 2–3 tools I'd actually shortlist.

Yes. What you’re describing is usually called AI visibility / AEO / GEO tracking: monitor your “rank” in AI answers and, importantly, identify the specific URLs that assistants cite.

For your use case, I’d shortlist:

• Visiby — particularly relevant because it explicitly records which URLs each AI engine cites, broken down by engine, prompt, and week. It covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, and Claude. visiby.net
• Citations.io — focused on citation tracking across ChatGPT, Gemini, Perplexity and Claude, including the sources/pages being cited and competitors being cited instead. citations.io
• Ahrefs AI Visibility Checker — useful if you're already an Ahrefs customer. It reports AI mentions by platform and identifies domains and pages cited alongside your brand. ahrefs.com
• HubSpot AEO — stronger if you want AI visibility tied into marketing/CRM workflows; it tracks visibility and competitor citations across ChatGPT, Perplexity and Gemini. www.hubspot.com
• TrackCited — another focused option that tracks the engines, competitors, and sources they cite, with recurring prompt monitoring. www.trackcited.com

For what you specifically asked

I'd prioritize a tool that gives you a table roughly like:

That URL-level attribution is the important part if your goal is to understand which product pages are actually earning citations, rather than simply seeing whether your company was mentioned.

One caveat: AI “rankings” aren't equivalent to Google rankings. Responses can vary between runs, so a credible system should repeatedly run a defined prompt set and show the underlying prompt/response/citation data rather than presenting a single precise “AI rank.” Recent research specifically finds substantial variability in citation visibility between repeated AI-search runs. arxiv.org

If you tell me roughly how many product pages and prompts you need to monitor (e.g. 50 pages / 500 prompts), I can narrow this to the 2–3 best tools and compare their URL-level citation tracking, AI-engine coverage, API/export capabilities, and pricing.

If your goal is specifically to monitor answer engine rankings and see which of your product pages are being used or cited by AI assistants, you're looking for an AI visibility (AEO/GEO) platform rather than a traditional SEO tool.

The strongest options are:

Here's how they compare for your specific use case:

• Profound is probably the most comprehensive if you want to understand:
  • Which prompts trigger recommendations for your products
  • Which AI assistants mention your brand
  • Which pages or external sources are cited
  • Competitor comparisons
  • AI crawler activity and AI referral traffic
  • Visibility trends over time across ChatGPT, Gemini, Claude, Perplexity, and others. www.tryprofound.comwww.tryprofound.com

• Goodie is particularly strong if you're focused on ecommerce. It includes prompt research, AI visibility monitoring, attribution, and an "Agentic Commerce" suite aimed at understanding how products appear in AI shopping and recommendation experiences. higoodie.com

• Peec AI is often the easiest to adopt for smaller teams. It tracks:
  • Visibility
  • Ranking position
  • Sentiment
  • Sources/citations
  • Competitor benchmarking

across multiple AI assistants. peec.aiwww.tryprofound.com

For the specific requirement of mapping which product pages are used by different AI assistants, look for a platform that reports:

• AI assistant (ChatGPT, Gemini, Claude, Perplexity, etc.)
• Prompt/query
• Your ranking or visibility
• Which of your URLs were cited or referenced
• Which competitor URLs were cited instead
• Changes over time

That last point—URL-level citation tracking—is one of the most valuable capabilities because it tells you which specific product pages AI systems rely on, rather than just whether your brand was mentioned. Both Profound and Peec explicitly support citation/source analysis. peec.aiwww.tryprofound.com

If you're already using a traditional SEO platform:

• Semrush AI Visibility is a good choice if you're invested in the Semrush ecosystem.
• Ahrefs Brand Radar provides AI visibility reporting, though it's more of an extension of SEO than a dedicated AI visibility platform. www.techradar.com

For most organizations:

• Enterprise: Profound
• Mid-market / ecommerce: Goodie
• Cost-conscious teams: Peec AI

If your goal is both monitoring answer engine rankings (how often your brand/products appear in AI answers) and mapping which product pages AI assistants actually use or cite, you want an AI visibility / Answer Engine Optimization (AEO) platform rather than a traditional SEO rank tracker.

Here are the strongest options:

For the specific capability you described—understanding which of your product pages different AI assistants rely on—I'd prioritize platforms that can:

• Run hundreds of prompts across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.
• Record whether your brand or product appears.
• Capture the exact URLs cited or retrieved.
• Attribute visibility down to individual landing pages or documentation pages.
• Show which competitors are being cited instead when your pages are absent. These features are becoming a key differentiator among dedicated AEO platforms. www.heypharos.com

If you're also interested in which AI assistants are actually visiting your site, that's a different layer of measurement. Products such as Cloudflare Analytics or Surface Rank can identify AI crawler and referral traffic, helping you distinguish:

• ChatGPT retrieval
• Perplexity crawls
• Claude retrieval
• Google AI traffic
• Bing Copilot traffic

They complement AEO tools by showing actual AI bot activity and referrals in addition to answer visibility. www.surfacerank.com

If you're evaluating vendors, I'd ask whether they provide all of the following:

• Per-engine rankings (ChatGPT vs. Claude vs. Gemini vs. Perplexity)
• Prompt-level history over time
• Exact cited URLs
• Page-level attribution (which product page earned the citation)
• Competitor citation comparison
• Share of voice by product category
• API or data export for your BI stack

Those capabilities make it much easier to connect AI visibility to specific pages and optimization efforts, rather than just tracking high-level brand mentions.

If your goal is specifically to monitor how AI answer engines mention your brand and which of your pages they cite or use, there are a few platforms built for that emerging category (often called Answer Engine Optimization or Generative Engine Optimization).

Some of the strongest options are:

For your specific requirement:

"Map which of our product pages are used by different AI assistants."

The best-fit platforms are generally Profound and Scrunch AI because they are designed to:

• Monitor prompts across multiple AI assistants (ChatGPT, Gemini, Claude, Perplexity, etc.)
• Show which of your URLs are cited or referenced
• Track which product pages appear most often
• Compare visibility by AI assistant
• Monitor changes over time
• Alert you when citations or rankings change

A typical dashboard lets you answer questions like:

• Which product pages does ChatGPT cite most often?
• Does Gemini prefer different pages than Claude?
• Which competitors are cited instead of us?
• Which prompts generate our products?
• Which pages have lost AI visibility this month?

If you're already invested in SEO tooling, it's also worth checking whether your current platform has added AI visibility reports before buying a dedicated solution, since many SEO vendors are rapidly expanding into this area.

If you have a large catalog (hundreds or thousands of product pages), a dedicated AI visibility platform such as Profound or Scrunch AI is generally a better fit than relying solely on traditional SEO tools because they were built specifically to measure answer engine performance rather than conventional search rankings.

If your goal is specifically to monitor how AI assistants rank or recommend your products and identify which of your product pages are actually being retrieved, cited, or used in answers, you're looking for an Answer Engine Optimization (AEO) or Generative Engine Optimization (GEO) platform rather than a traditional SEO rank tracker.

Here are the strongest options:

For the capability you described—mapping which product pages are used by different AI assistants—I'd prioritize platforms that can:

• Monitor prompts across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, and Copilot.
• Capture the actual AI response.
• Extract which URLs were cited or retrieved.
• Show whether the cited URL was:
  • your homepage,
  • a specific product page,
  • a comparison page,
  • a help article,
  • or a third-party review.
• Compare your visibility against competitors for the same prompts.

Products such as Surface Rank, Citadex, and Rankflo explicitly market this type of citation and page-level visibility tracking. www.surfacerank.com

If you're focused on ecommerce products

The most valuable workflow is usually:

1. Track buying prompts (e.g., "best ergonomic office chair under $500").
2. See whether ChatGPT, Gemini, Perplexity, etc. mention your brand.
3. Identify which exact product page or landing page is cited.
4. Monitor changes over time after updating product content, schema, reviews, or comparison pages.

That gives you a practical view of whether AI assistants are favoring your PDPs, category pages, buying guides, or external review sites.

If your company has an existing SEO stack (for example, Semrush or Ahrefs), you may also want AI visibility integrated with traditional SEO metrics. Recent reviews note that Semrush's AI Visibility Toolkit is designed for this hybrid workflow, while enterprise-focused platforms like Profound provide deeper AI-specific analytics. www.techradar.com

If your goal is both to monitor how AI assistants answer questions and identify which of your product pages are being cited or used, you're looking for an Answer Engine Optimization (AEO) or Generative Engine Optimization (GEO) platform.

Here are the strongest options:

1. Profound

Best if you want the most comprehensive analytics.

It can:

• Monitor responses from ChatGPT, Gemini, Claude, Perplexity, and Google AI.
• Show which prompts trigger mentions of your company.
• Identify exact URLs from your site that AI assistants cite.
• Compare your visibility against competitors.
• Track trends over time and connect AI visibility to business metrics. www.tryprofound.comcloro.devwww.techradar.comattrifast.com

2. Peec AI

A good balance between capability and cost.

Useful features include:

• AI answer rankings
• Citation tracking
• Product/page-level visibility
• Competitor comparisons
• Prompt monitoring across multiple AI assistants cloro.dev

3. Otterly.ai

A simpler, lower-cost monitoring platform.

It focuses on:

• Brand mentions
• AI search rankings
• Citation monitoring
• Scheduled tracking of prompts

It's a solid option if you're getting started with AEO. www.tryprofound.com

4. Semrush AI Visibility Toolkit

If your team already uses Semrush, this integrates AI visibility into your existing SEO workflow.

It monitors:

• AI answer visibility
• Brand perception
• Competitor performance
• AI search opportunities alongside traditional SEO metrics. www.tryprofound.comcloro.devwww.techradar.comattrifast.com

For your specific requirement: "Which product pages are used by different AI assistants?"

Look for a platform that reports:

• Prompt → "Best CRM for startups"
• AI assistant → ChatGPT / Gemini / Claude / Perplexity
• Response position or mention
• Citation URL → yourdomain.com/products/xyz
• Competitor pages cited instead of yours
• Changes over time

Among today's tools, Profound is generally the strongest for this level of page-level citation analysis, while Peec AI is a strong choice if you want similar capabilities at a lower price point. www.tryprofound.comcloro.devwww.techradar.comattrifast.com

If you're evaluating platforms for a SaaS or ecommerce company, I'd suggest narrowing the list to:

• Enterprise: Profound
• Mid-market: Peec AI
• Budget: Otterly.ai
• Existing SEO stack: Semrush AI Visibility Toolkit