ChatGPT answers, unedited

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 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

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