ChatGPT answers, unedited

Yes. If your specific requirement is “show me which URLs are actually being surfaced/cited by generative search, then tell me what to change on those pages,” the market has a few good options.

My shortlist

Scrunch is probably the closest fit. Its current product explicitly combines AI-search monitoring/citation analysis with “Site Diagnostics,” a page-by-page action plan. It can map your site pages, identify AI-search citations, and surface content gaps/quick wins. scrunch.com

Its optimizer works from a sitemap/page inventory: you select a URL, open its page details, and get actionable recommendations for improving AI-search visibility. ai-cdn.scrunchai.com

Otterly is the other one I'd demo. Its GEO Audit evaluates individual URLs and sites across 25+ AI-visibility factors and generates prioritized fix lists. It specifically examines things such as static vs. dynamic content, page speed, AI readability, structured data, metadata, and whether content contains facts/statistics that can readily be referenced. otterly.ai

The important distinction

There are really two separate jobs here:

1. Visibility/citation intelligence:

“For the prompts our prospects ask, which of our URLs are appearing in ChatGPT, Google AI Overviews, Perplexity, etc., and which competitor URLs are being cited instead?”

2. Optimization:

“Given that evidence, what should we change on /pricing, /product-x, /guide-y, etc. to increase the probability of being cited?”

A lot of GEO platforms are much better at #1 than #2. Current comparisons also distinguish monitoring-only tools from platforms that actually provide an optimization/action layer. www.cognizo.ai

For what you described, I'd therefore prioritize Scrunch and Otterly, rather than choosing purely on the number of AI engines they monitor.

What I'd want to see in a demo

Ask the vendor to demonstrate this exact workflow:

Prompt → AI answer → cited sources → our URL → page diagnosis → recommended changes → subsequent citation/visibility change

And specifically ask whether it can give you a report like:

• /product/abc — cited in 18% of relevant AI answers
• /blog/comparison — cited in 7%
• /resources/guide — cited in 0%
• Competitor X's /comparison — cited in 31%
• Why: missing comparison data / insufficient first-party evidence / weak topical coverage
• Recommended: add X, Y and Z sections/data points
• Priority: High
• Recheck: after publishing

That's much more valuable than a generic “AI visibility score.”

If you tell me your site type (B2B SaaS, ecommerce, publisher, local, etc.) and roughly how many pages you have, I can narrow this to the 2–3 tools I'd actually shortlist and compare their current pricing, AI engines, URL-level reporting, integrations, and optimization capabilities.

Yes. What you’re describing is AI-search / answer-engine optimization (AEO/GEO) software: tools that monitor prompts in ChatGPT, Google AI Overviews, Perplexity, Gemini, etc., identify the exact URLs being cited, and help you decide which pages to improve.

Best fits

1. Scrunch — probably the closest match to your description.
Scrunch's Citations feature records the actual webpages AI platforms cite, lets you drill down from domain → individual URL → prompts, and shows citation consistency, total citations, and an Influence Score. It also lets you compare your pages with competitor and third-party sources. scrunch.com

Scrunch AI Search Visibility

The particularly useful workflow is: “Prompt we're targeting → who gets cited → which exact page gets cited → why that page appears to be winning → what should we change?”

2. Profound — strongest if you want recommendations/workflows, not just monitoring.
Profound tracks citations across ChatGPT, Perplexity, Google AI Overviews and other answer engines, then lets you analyze citation share by platform, topic and prompt. Its Watched Pages feature tracks citation volume for individual URLs, and it can turn citation insights into content briefs/workflows. www.tryprofound.com

Profound AI Citation Tracking

I'd lean toward Profound if you have a sizable content/SEO team and want the tool to become part of your optimization workflow.

3. Surfer — compelling if you want the AI visibility data tied directly to content optimization.
Surfer's AI Tracker identifies which of your pages are mentioned, which competitors are cited, how frequently sources appear, and which prompts/topics perform best. Its Sources dashboard goes down to the individual URL level, and you can take a cited/underperforming URL directly into Surfer's Content Editor for optimization. docs.surferseo.com

Surfer AI Tracker documentation

One important distinction

I'd avoid evaluating these tools purely on “AI visibility score.” The more valuable capability for your use case is:

Prompt → AI answer → cited URLs → your URL vs. competitor URL → page-level opportunity → recommended content change

That's much more actionable than knowing that your brand was mentioned 23% of the time.

Also, Bing Webmaster Tools now provides first-party AI Performance data showing how publisher URLs appear as sources in Microsoft Copilot, Bing AI-generated summaries, and selected partner experiences. It's worth using even if you buy one of the commercial platforms. blogs.bing.com

My shortlist

If I were evaluating these for your exact requirement, I'd do:

1. Scrunch — best citation/page mapping
2. Profound — best enterprise AEO intelligence + recommendations
3. Surfer — best SEO/content optimization integration
4. Bing Webmaster Tools — best free first-party supplement

If you tell me roughly how many pages you have, your monthly organic traffic, and whether you're B2B/B2C, I can narrow this to the 1–2 tools I'd actually buy and compare their pricing, integrations, prompt/citation coverage, and optimization capabilities.

Yes. The category you’re looking for is AI search visibility / Generative Engine Optimization (GEO) software. The important distinction is that some tools merely tell you whether your brand is mentioned, while others map the exact URLs/pages being cited and turn that into optimization recommendations.

My shortlist

The one I'd investigate first: OtterlyAI

Otterly is unusually close to your exact requirement. Its Domain Ranking & Analytics tracks the URLs cited in AI search, while its Website Citation Gap Analysis identifies which content on a site gets cited most frequently. It also has a Content Audit that analyzes individual pages and gives specific improvements, plus recommendations based on competitor/citation data. otterly.ai

It currently monitors major surfaces including ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot and Claude, so you aren't limited to one AI engine. otterly.ai

In other words, you can get toward a workflow like:

Prompt → AI answer → cited URL → your page → why it was/wasn't selected → recommended changes

That's much more useful than a generic "AI visibility score."

Sailiently is worth a look too

If your priority is specifically page-level optimization, Sailiently has a particularly direct proposition: it says it identifies which of your pages can be cited, which competitors win when you're absent, and then provides a ranked fix list for individual URLs. sailiently.com

That's potentially a better fit if you're managing a large site and want an actionable backlog such as:

• /product-a — cited 18% of relevant prompts
• /product-b — never cited
• Competitor page X wins these prompts
• Add comparison information
• Strengthen factual/entity signals
• Add/modify FAQ content
• Improve crawlability/structured data

Profound if you're enterprise

Profound is more of an enterprise AI-search intelligence platform. I'd look at it if you need large-scale prompt monitoring, competitive intelligence, and deeper analysis rather than primarily a page optimization tool. Independent comparisons tend to characterize Profound as the more enterprise-oriented option, while Otterly is positioned as easier to adopt and more affordable. www.trylyra.ai

One important caveat

Don't evaluate these tools solely on "how many times does ChatGPT mention our brand?" The more valuable metric for your use case is:

Which of our URLs are actually being used as sources, for which prompts, by which engines, and what pages/competitors are winning the prompts where we're absent?

AI-search visibility is volatile: for example, recent research reported substantial changes in which domains ChatGPT cites over just a few weeks. www.axios.com

So I'd specifically demand these capabilities in a demo:

1. URL-level citation tracking, not just domain-level mentions.
2. Prompt → answer → exact cited URL mapping.
3. Competitor URL comparison.
4. Ability to identify uncited/high-value pages.
5. Page-level technical/content audit.
6. Specific recommendations rather than an opaque GEO score.
7. Tracking across ChatGPT + Google AI Overviews/AI Mode + Perplexity + Gemini at minimum.
8. Historical tracking so you can determine whether an optimization actually increased citations.

If you tell me roughly how big your site is (e.g. 500, 10K, 1M pages), whether you're B2B/B2C, and which AI surfaces matter most, I can narrow this to the 2–3 platforms I'd actually put through a trial and compare their pricing/features.

Yes. What you’re describing is generally called GEO/AEO (Generative Engine Optimization / Answer Engine Optimization) software. The key distinction is that you want URL-level citation tracking, not just “does our brand appear in ChatGPT?”

My shortlist

If your exact requirement is:

“Show me which pages on our site are being surfaced/cited by generative search, for which queries, in which AI engines, and tell me what to change to get more pages cited.”

I'd start with OtterlyAI and Scrunch.

OtterlyAI explicitly says it tracks every cited domain/URL and provides content audits, crawlability checks and prioritized GEO recommendations. It covers ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude. otterly.aiai-cdn.scrunchai.comwww.citationradar.ai

Scrunch is particularly interesting if the page mapping is your priority. Its citation reporting drills down from prompt → AI response → exact cited URL, including competitor URLs, and lets you see which prompts individual pages win. ai-cdn.scrunchai.com

Lantern goes even further toward the “what should we fix on this page?” use case: its page tracker combines URL-level citation monitoring with content/technical AI-search analysis, a citability score and actionable recommendations. www.asklantern.com

One important buying criterion

Don't buy a platform merely because it gives you an “AI visibility score.” You want it to expose this underlying data:

Prompt → AI engine → answer → cited sources → exact URL → competitor URL → reason/opportunity → recommended change

That distinction matters because knowing “we're mentioned in 18% of answers” isn't nearly as actionable as:

“For 47 commercial prompts, competitors' /pricing/ and /comparison/ pages are cited 83 times; your /solutions/ page is never cited. Here are the content/structure/entity gaps.”

Some newer platforms explicitly provide this sort of URL-level gap analysis. www.citationradar.ai

My recommendation

If you're evaluating this for a real SEO/content program, I'd run a small bake-off:

1. Give OtterlyAI, Scrunch and Lantern the same 20–50 important pages.
2. Give each the same set of ~50–100 buyer prompts.
3. Compare:
   • exact URLs detected as citations
   • ChatGPT / Gemini / Perplexity / Google AI coverage
   • competitor citation discovery
   • historical tracking
   • page-level recommendations
   • ability to export/API the data
   • whether recommendations are actually actionable rather than generic “add more content”
4. Most importantly, check whether they distinguish brand mention vs. actual URL citation.

If you tell me what kind of site you have (B2B SaaS, ecommerce, publisher, financial services, etc.) and roughly how many pages, I can narrow this to the 2–3 tools I'd actually shortlist and compare their current pricing/features.

Yes. The category you want is usually called AI search visibility / GEO (Generative Engine Optimization) software. The important distinction is that some tools merely tell you whether your brand is mentioned, while others identify the exact URLs/pages being cited and what you should change to earn more citations. www.capterra.com

My shortlist

Otterly is particularly close to your description: it says it tracks every URL cited in AI answers, monitors changes, and combines that with crawlability checks, page/content audits, and recommendations for what to fix. It covers ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude. otterly.ai

What I'd look for in a tool

For your use case, don't settle for a dashboard that says:

"Your brand was mentioned in 34% of AI responses."

You want to be able to drill down to something like:

Prompt: "Best commercial HVAC software for multi-location businesses"
→ AI engine: ChatGPT
→ Your brand: Mentioned
→ Citation: /solutions/multi-location-hvac
→ Competitor cited instead: /resources/hvac-software-guide
→ Opportunity: Competitor's page answers 7 subquestions your page doesn't
→ Recommendation: Add comparison table, implementation examples, statistics, FAQs, and clearer entity/product relationships
→ Priority: High

That's the difference between AI visibility monitoring and an actual optimization workflow. Current reviews of the category specifically flag this distinction: many products are good at monitoring but relatively weak at turning the data into actionable optimization. www.capterra.com

If I were evaluating these for your team

I'd put Otterly, Profound, and Peec through the same test rather than buying based on feature lists.

Give each one ~50–100 real customer prompts and ask:

1. Which of our URLs are actually being cited?
2. Can we see the exact AI response and citation context?
3. Can it distinguish our brand mention from an actual website citation?
4. Can it identify pages that should be cited but aren't?
5. Does it explain why a competitor's page is winning the citation?
6. Are recommendations page-specific, rather than generic "add more content" advice?
7. Can we track changes after we optimize a page?
8. Does it cover the AI surfaces that matter to us — particularly Google AI Overviews/AI Mode, ChatGPT, Perplexity, Gemini and Copilot?

Otterly explicitly offers URL-level citation tracking plus content audits and recommendations, so it's probably the first product I'd trial for exactly the workflow you're describing. otterly.ai

If you tell me roughly B2B/B2C, number of site pages, monthly organic traffic, and whether you're already using Semrush or Ahrefs, I can narrow this to the 2–3 tools I'd actually buy and explain why.

Yes. The category you’re looking for is usually called AI search visibility / GEO (Generative Engine Optimization) software. The important distinction is whether the product merely tells you “your brand was mentioned” or actually maps which URLs from your site are being cited and what to change on those URLs.

My shortlist

Otterly is particularly close to your description: it tracks ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini and Copilot, identifies which URLs are cited, and has a Content Audit/GEO Optimization layer intended to turn those findings into recommendations and content briefs. otterly.aiwww.citedspy.com

Lighthouse is even more explicitly page-centric: it says it scores individual pages for “AI citability,” maps citation sources to your domain, and ties recommendations to specific pages and the score they can improve. www.ahoylighthouse.com

WhiteRank is interesting if you want the technical side as well—it combines citation/visibility tracking with AI-crawler analytics and site audits covering things such as structured data, content gaps and technical barriers to citation. whiterank.io

What I would look for in your evaluation

Don't buy based on a generic “AI visibility score.” You ideally want a workflow like:

Prompt → AI answer → cited URL → your page → why it won/lost → recommended change → re-measurement

For example:

“best enterprise project-management software”

→ ChatGPT cites competitor.com/guide
→ Your domain is mentioned but /solutions/enterprise isn't cited
→ tool identifies that competitor page has clearer comparison tables, first-party evidence and answer blocks
→ recommends specific changes to your /solutions/enterprise page
→ you implement them
→ tool tracks whether that URL starts getting cited.

That page-level distinction matters because being mentioned and having your own website cited as the source are different outcomes. otterly.aiwww.citedspy.com

My recommendation

If your primary question is “Which of our hundreds/thousands of pages are getting surfaced by generative search, and what should we do to increase that?”, I'd demo these three first:

1. OtterlyAI — strongest apparent end-to-end fit.
2. Lighthouse — particularly compelling if URL-level recommendations are the priority.
3. Profound — worth evaluating if you're an enterprise organization with sophisticated measurement needs.

And if you already have Ahrefs or Semrush, check their AI-visibility functionality before adding another platform; the newer SEO suites increasingly incorporate AI citation tracking. www.openaitoolshub.org

If you tell me roughly how many pages you have (e.g. 500 vs. 100,000), whether you're B2B/B2C, and whether you need recommendations that can feed directly into your content workflow, I can narrow this to the 2–3 best products and compare their capabilities/pricing.

Yes. There are several tools now that can do page-level AI citation tracking—i.e., show which URLs from your site are actually being surfaced/cited in ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot, etc.—and some can turn that data into optimization recommendations.

My shortlist

1. OtterlyAI — probably the closest match

Otterly's Citations Report lets you see the actual URLs being cited, including your pages and competitors' pages, and drill from a URL into the prompts and AI engines where it was cited. Its current coverage includes ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Copilot and Claude. help.otterly.ai

More importantly for your question, it now has Recommendations that automatically prioritize actions based on your visibility/citation data. It can identify content gaps, competitor citation opportunities, pages worth improving, and off-site opportunities. help.otterly.ai

It also has a GEO Content Checker/Crawlability Checker, so you can go from:

"Google/ChatGPT is citing competitor.com/page"

to:

"Here's why our equivalent page isn't getting cited and what we should change."

otterly.ai

This would be my first tool to trial if the primary requirement is literally "which of our pages are being surfaced, and what should we do about it?"

2. Ahrefs Brand Radar — strongest if you're already an Ahrefs shop

Ahrefs Brand Radar tracks AI visibility across a very large corpus of search-backed prompts and specifically lets you identify top cited pages and domains, compare your AI share of voice with competitors, and find opportunities to gain mentions. help.ahrefs.com

The advantage is that it connects AI visibility to the broader SEO ecosystem you're probably already analyzing.

I'd choose this over Otterly if your team already lives in Ahrefs and wants traditional SEO + AI visibility in one workflow.

3. Semrush — strongest broader SEO/content platform

Semrush's AI Visibility Toolkit tracks brand/competitor visibility and prompts, audits whether your site is technically accessible to AI crawlers, and identifies competitive gaps. www.semrush.com

Its Content Toolkit also provides specific recommendations for improving content structure, clarity and entity signals based on factors associated with higher AI citation rates. www.semrush.com

So Semrush is particularly attractive if the workflow you want is:

AI visibility → identify page → diagnose → optimize content → monitor SEO + AI performance

rather than a pure GEO monitoring product.

4. Profound — worth looking at for enterprise

Profound is more enterprise-oriented and has a particularly interesting content optimization workflow. It says its optimization recommendations are grounded in live citation data, and you can paste a URL to get structured recommendations for improving its likelihood of being cited by answer engines. www.tryprofound.com

It also provides agent/crawler analytics, which is useful if you want to understand not just whether a page gets cited but how AI crawlers are interacting with your site.

What I'd actually evaluate

For your use case, I wouldn't judge these primarily on "AI visibility score." I'd test whether they can answer these five questions at the URL level:

1. Which of our URLs are being cited?
2. For which prompts/questions is each URL being cited?
3. Which competitor URLs are being cited instead of ours?
4. Why is the competitor page winning?
5. What specific changes should we make to our page to increase its probability of being cited?

The first three are increasingly common. #4 and especially #5 are where the products differentiate.

I'd put OtterlyAI and Profound at the top of the trial list for this specific workflow, with Ahrefs and Semrush as the stronger choices if you want AI search integrated into a larger SEO platform.

One other important distinction: don't confuse brand visibility with page visibility. A tool telling you "Your brand appears in 37% of ChatGPT answers" isn't necessarily telling you "these 42 URLs on your site generated those citations." For content optimization, the latter is much more valuable.

If you tell me roughly how many pages you have (e.g. 500, 10K, 1M) and whether you're B2B, ecommerce, publisher, SaaS, etc., I can narrow this to the 2–3 products I'd actually buy/trial and compare their page-level capabilities, pricing, integrations, and reporting.

Yes. What you’re looking for is usually called AI search visibility / GEO (Generative Engine Optimization) software. The important distinction is that some tools merely tell you whether your brand appears, while others can identify which URLs are being cited and give you page-level recommendations.

My shortlist

The one I'd investigate first: Otterly

Otterly AI specifically says it can audit individual pages for crawlability, AI-readiness and citation potential, provide a predictive score, and generate content briefs/recommendations. It also tracks citations across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini and Copilot. otterly.ai

That is unusually close to your requirement:

Your site → pages → AI prompts → AI answers → cited URLs → competitors' cited URLs → why your page isn't being surfaced → recommended changes.

Its own documentation also describes using citation-source data to identify which pages are already appearing in AI results, find patterns in those pages, and identify optimization/content gaps. otterly.ai

If you're an enterprise, look hard at Profound

Profound is the more enterprise-oriented choice. Current comparisons put it toward the high end of the market in terms of AI-engine coverage and depth of analytics. www.cognizo.aibaarely.com

I'd favor it if you need things like large-scale prompt tracking, competitive intelligence, detailed citation analysis, reporting and integrations, rather than simply a content team's page-audit workflow.

A useful distinction when evaluating demos

Don't let a vendor show you only:

"Your brand appeared in 37% of ChatGPT answers."

Ask them to demonstrate this exact workflow:

1. Give it your domain.
2. Enter 50–500 real customer/search prompts.
3. Show every URL from your domain that was cited.
4. Show which competitor URLs were cited instead.
5. Show the AI answer and the citation context.
6. Explain why URL A was surfaced but URL B wasn't.
7. Produce specific recommendations for URL B.
8. Let you monitor those URLs over time to see whether citation frequency improves.

That's the difference between an AI brand-monitoring dashboard and a genuine GEO optimization platform.

If your primary requirement is specifically "tell me which pages on our site are getting surfaced by generative search, then tell our content team exactly what to change," I'd start with Otterly and Profound, and add Scrunch to the bake-off. Current 2026 comparisons similarly distinguish Otterly for page audits/optimization, Profound for enterprise depth, and Scrunch for monitoring plus an optimization/agent-content layer. baarely.com

Yes. If your specific requirement is “show me which URLs from our site are actually being surfaced/cited by generative search, then tell me what to improve on those pages,” the market has a few strong options.

My shortlist

Scrunch is probably the first one I'd demo. Its new Site Maps product crawls/maps the site at the page level and shows which pages are attracting AI-agent traffic, their AI-search performance, and which pages need attention. It then lets you open an individual page and get optimization recommendations; without its AXP product, it says it provides up to five actionable recommendations per page. scrunch.com

Otterly.ai is particularly interesting if you want the workflow to be more explicitly “visibility → diagnosis → optimization.” It monitors citations across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini and Copilot, and its Content Audit analyzes individual pages for crawlability, AI-readiness and citation potential, followed by GEO recommendations. otterly.ai

Ahrefs Brand Radar is stronger if you want to combine this with conventional SEO data. It identifies the pages/domains being cited in AI answers and lets you analyze citation gaps, competitors and custom prompts. Its current database covers hundreds of millions of search-backed prompts across multiple AI platforms. scrunch.comhelp.ahrefs.com

One important distinction

I'd separate “which pages are being cited?” from “which pages are being crawled by AI agents?”

They're related but not identical:

• AI crawler/agent data: “ChatGPT/Google/etc. visited /product-x.”
• Citation data: “That URL actually appeared as a source in an AI answer.”
• Prompt-level visibility: “For the query best X for Y, our /product-x page was cited instead of our competitor's.”
• Optimization: “Here are the changes likely to increase the chance of that page being cited.”

For your stated use case, citation + prompt-level data + page-level recommendations is the combination I'd prioritize. Simply having AI-bot analytics isn't enough.

What I'd choose

If you're evaluating one tool specifically for this: start with Scrunch.

If you're an SEO team already deep in Ahrefs: evaluate Ahrefs Brand Radar + Site Audit before adding another platform.

If content/GEO optimization is the primary objective: put Otterly.ai alongside Scrunch in the demo.

If you tell me roughly how many pages you have, whether you're B2B/B2C, and which AI surfaces matter most (ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, etc.), I can narrow this to the 2–3 tools I'd actually shortlist and compare their current pricing/features.

Yes. The category you want is AI search visibility / AEO / GEO software—specifically tools that go beyond “does our brand appear?” and tell you which URLs are being cited and what to change.

My shortlist:

HubSpot explicitly describes a workflow that sounds very close to what you're asking for: citation analysis → identify the domains/pages/content types appearing in AI answers → prioritized recommendations for creating or updating content. www.hubspot.com

OtterlyAI is probably the first one I'd demo if your primary requirement is: “Show me exactly which pages on our domain are getting surfaced by ChatGPT/Google AI/Perplexity/etc., which pages competitors are getting cited instead, and what should we optimize?” Its current product includes citation tracking, page-level content audits, citation potential/prediction, and GEO recommendations. otterly.ai

For an enterprise SEO organization, I'd put Profound, Quattr, and OtterlyAI into a head-to-head evaluation. Current 2026 comparisons generally put Profound toward the enterprise/deeper-analytics end, Otterly toward accessible broad monitoring, and Quattr toward integrating GEO with conventional SEO workflows. omidsaffari.com

One important distinction

I'd make sure the vendor can answer these four questions at the URL level, rather than merely showing brand visibility:

1. Which exact URLs from our domain were cited?
2. For which prompts/query intents and which AI engines?
3. Which competitor URLs are being cited when ours aren't?
4. For each missed opportunity, what specific changes does the platform recommend to the existing page?

That fourth capability is where many “AI visibility trackers” become less useful—they tell you you're invisible but don't necessarily tell your content team what to do about it. Current market comparisons explicitly distinguish monitoring-only tools from platforms with an optimization/action layer. omidsaffari.comwww.cognizo.ai

If you tell me roughly how many site pages you have, whether you're B2B/B2C, and which AI surfaces matter most (ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, etc.), I can narrow this to the 3 best products and compare their page-level capabilities, integrations, pricing, and likely fit.

Yes. What you’re looking for is usually called AI Search Visibility / GEO / AEO software—but there’s an important distinction between tools that merely tell you whether you appear and those that identify which URLs are being cited and what to change.

My shortlist

The strongest match to your exact requirement is Scrunch or Profound if the key question is “which pages on our domain are actually being used/cited by AI?” Scrunch's Page360 approach specifically combines AI-search visibility, citations and traditional SEO at the page level. www.techradar.com

OtterlyAI is particularly interesting if you want a more accessible option: its current Citation Report lets you inspect the actual URLs cited by ChatGPT, Google AI Overviews, Perplexity and Gemini, including winners/losers and citation details. otterly.ai

The capability I'd insist on

Don't buy a tool just because it reports “AI visibility = 23%.” You want a workflow roughly like:

Prompt → AI answer → cited URL → your URL/page → competitor's cited page → reason for gap → recommended action

For example:

“best enterprise expense management software”

→ ChatGPT cites competitor.com/enterprise-expense-management
→ your yoursite.com/enterprise isn't cited
→ tool identifies missing comparison evidence / weak topical coverage / insufficiently extractable facts
→ recommends specific changes to your page.

That's much more valuable than simply knowing your brand wasn't mentioned.

There's also emerging research suggesting that citation depth/actual influence matters separately from simply being cited; highly influential pages tend to be structured, semantically aligned and rich in extractable evidence such as definitions, facts, comparisons and procedures. arxiv.org

What I'd choose

• Large enterprise / serious GEO program: Profound
• Your primary requirement is page-level citation intelligence: Scrunch
• Want good capability without enterprise complexity: OtterlyAI
• SEO team already using Semrush: Semrush AI Visibility Toolkit
• Want recommendations/content workflows as much as monitoring: HubSpot AEO or an execution-oriented platform

One caveat: no tool can perfectly tell you “this page caused the AI answer.” AI search is dynamic, and citation sets vary between runs. The better platforms therefore measure this over many prompts/runs rather than treating one result as definitive. www.reddit.com

If you tell me roughly how many pages your site has, your monthly SEO/marketing software budget, and which AI engines matter most (ChatGPT, Google AI Overviews, Perplexity, Gemini, Claude), I can narrow this to the 2–3 platforms I'd actually trial, including pricing and exactly which one gives you the page-level optimization workflow you're after.

Yes. The category you want is usually called AI Search Visibility / GEO (Generative Engine Optimization) software. The key distinction is whether a platform merely tells you “your brand was mentioned” or actually maps which URLs/pages are being cited and what you should change.

My shortlist

Otterly is particularly close to the workflow you described: it says it can identify which pages to optimize, perform crawlability/content audits, generate content briefs, and provide GEO recommendations, in addition to monitoring ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode. otterly.ai

Profound is the one I'd investigate if you have a relatively sophisticated SEO/Growth operation and want deeper citation/competitive intelligence. Independent comparisons currently characterize it as one of the stronger enterprise options for citation analytics. cited.md

Scrunch is interesting if your question is specifically “Which pages on our site are AI systems actually crawling and which subsequently get cited?” Its differentiator is connecting AI-search visibility with AI-bot crawling/page-level data and, through GA4, downstream traffic/conversions. www.techradar.com

What I'd test in a demo

Don't settle for a dashboard showing share of voice. Ask each vendor to demonstrate this exact workflow:

Prompt → AI answer → competitor cited → our site/page cited or not → source URL → why competitor/page won → recommended changes to our page → measure whether citation rate improves

That's the important part. Recent research also suggests that simply counting citations isn't sufficient: a page can be cited without contributing much to the generated answer, so citation influence/absorption is a more useful optimization metric. arxiv.org

I'd also specifically ask whether they can produce a report like:

/product-a

• Cited by: ChatGPT 12%, Perplexity 8%, Google AI 4%
• Appears for: 37 tracked prompts
• Competitor pages cited instead: 14
• Missing topics/entities: X, Y, Z
• Recommended changes: add comparison table, pricing facts, independent evidence, FAQ, etc.
• Priority: High

That is much more useful than a generic “your AI visibility is 18%” score.

If you tell me roughly how many pages you have (100s / 1,000s / 100k+) and whether you're B2B, ecommerce, SaaS, publishing, etc., I can narrow this to the 2–3 platforms I'd actually trial and compare their page-level capabilities and pricing.

Yes. What you’re looking for is usually called AI search visibility / GEO (Generative Engine Optimization) software. The important distinction is that some tools only tell you whether your brand is mentioned, while the better ones show the exact URLs/pages being cited and what to change.

My shortlist

For your exact requirement, I'd start with Scrunch, Profound, and Cite.

Scrunch is particularly close to what you described: it records the exact URLs cited for individual prompts, lets you drill down to URL level, shows which prompts each page wins, and lets you compare your pages with competitor/third-party sources. ai-cdn.scrunchai.com

Cite is interesting if you want the software to go a step further toward an SEO workflow. It explicitly says it identifies which URLs each AI pulls from and has a content agent that tells you which page to update and what to fix. www.cite.run

Profound is the one I'd investigate for a larger enterprise SEO/content organization. The broader enterprise tools tend to provide more competitive intelligence and reporting rather than just a simple visibility score. Current industry comparisons also put Profound in the enterprise-oriented tier. www.techradar.com

One thing I'd insist on

Don't buy a tool based primarily on an "AI visibility score." Ask to see a report that looks roughly like:

Prompt: "Best enterprise payroll software for companies with 1,000+ employees"
AI engine: ChatGPT
Your brand: Mentioned
Your cited page: /solutions/enterprise-payroll
Competitor cited: /enterprise-payroll
Why competitor won: pricing comparison, recent statistics, clearer definitions
Recommended action: update /solutions/enterprise-payroll with X, Y, Z
Expected opportunity: 14 tracked prompts currently citing competitors

That's much more actionable than simply being told "your AI visibility score is 62."

Also, track multiple engines separately. Recent research shows that citation behavior varies considerably across ChatGPT, Gemini, Perplexity and other systems, so a single aggregate score can hide important differences. arxiv.org

If you tell me your approximate site size and whether you're B2B/B2C, I can narrow this to the 2–3 best platforms for your situation, including pricing and what each can/can't map at the page level.

If you mean AI/generative search visibility—e.g. seeing which pages from your site are being cited or surfaced in Google AI Overviews/AI Mode, ChatGPT, Perplexity, Gemini, etc.—there are several tools worth looking at.

Strong options

If your key question is:

“Which exact URLs on our site are getting surfaced in generative search, for which queries, and what should we change?”

I'd shortlist Profound, Semrush AI Toolkit, and Scrunch first.

• Profound is particularly strong if you're an enterprise and want granular monitoring of AI answers, cited URLs, competitors, prompts, and visibility changes.
• Semrush AI Toolkit is attractive if you already use Semrush for conventional SEO and want AI-search visibility integrated with your existing keyword/content workflow.
• Scrunch is more specifically focused on generative-engine optimization and can help identify which pages/content are being represented in AI answers and where gaps exist.

One important distinction: Google Search Console alone won't give you a complete picture of generative-search citations. The AI-search platforms generally work by running/monitoring large sets of prompts across AI engines and recording the resulting mentions and citations.

If you tell me your site size (e.g. 500 vs. 100k pages), which AI engines matter, and whether you need enterprise/team reporting, I can narrow this to the best 2–3 tools and compare pricing, URL-level reporting, integrations, and optimization capabilities.

Yes. What you’re looking for is generally called AI Search Visibility / AEO / GEO software—but there’s an important distinction between tools that merely tell you whether your brand appears and tools that can tell you which URLs/pages are being cited and what to change.

My shortlist

1. My first choice: Ahrefs Brand Radar

If your specific question is:

"Which pages on our website are actually being surfaced/cited by generative search?"

I'd start with Ahrefs Brand Radar.

Its Cited Pages report lets you identify the specific URLs on your domain that AI systems reference. It can also show pages that were found/retrieved by an AI system but weren't ultimately cited—which is a particularly useful distinction for optimization. ahrefs.comhelp.ahrefs.com

It covers Google AI Overviews/AI Mode, ChatGPT, Perplexity, Gemini, Copilot and Claude, and lets you compare your citation footprint against competitors. help.ahrefs.com

For example, you can get from:

AI query → AI answer → cited sources → your URL → competing URL

That's much closer to the page-level mapping you're describing than a generic "AI visibility score."

2. Best if you want recommendations too: Semrush

Semrush's AI Visibility Toolkit is probably the strongest all-around option if you want:

monitor → diagnose → recommend → optimize → track

It has a Cited Pages filter for determining which pages are driving AI visibility, competitor research showing where competitors are cited but you aren't, and AI-generated strategic recommendations. www.semrush.com

More importantly for your question, Semrush now has an AI Search Optimizer that analyzes existing content and provides prioritized recommendations for improving both Google and LLM visibility. www.semrush.com

Its Content Toolkit can also give actionable recommendations around content structure, clarity and entity signals, and lets you apply fixes in the editor. www.semrush.com

So if your workflow is:

"Show me which 200 pages are getting cited, tell me which 50 pages have the biggest opportunity, and tell my content team what to change"

Semrush is probably the better single-platform choice.

3. One caveat: "surfaced" isn't the same as "cited"

This is important when evaluating these products.

An AI engine can:

1. retrieve your page,
2. use information from it internally,
3. not cite it, or
4. explicitly cite your URL.

Ahrefs, for example, distinguishes "Found in" from "Citation." ahrefs.comhelp.ahrefs.com

That means I'd specifically ask vendors whether their product can give you URL-level citation data, rather than just:

"Your brand was mentioned in 34% of AI answers."

The latter is much less actionable for an SEO/content team.

What I'd buy

If you're running a reasonably large site, I'd narrow it to:

Best data/diagnostics: Ahrefs Brand Radar
Best end-to-end workflow: Semrush AI Visibility + Content Toolkit
Best newer purpose-built option: Surfaced

And I'd probably not replace your existing SEO stack with an AI-only tool. Generative search is still heavily dependent on crawlability, conventional search visibility, authority, structured content and external sources. Recent research also shows that AI engines can select substantially different sources from traditional Google search, so this is an additional visibility layer rather than simply "SEO with a new name." arxiv.org

If you tell me roughly how many pages are on your site (e.g. 5K, 50K, 500K+) and whether you're B2B, ecommerce, publisher, SaaS, etc., I can narrow this to the 2–3 tools that actually fit your use case, including pricing and what each can/can't do at URL level.

Yes. What you’re describing is usually called AI Search Visibility / AEO / GEO software: tools that monitor which pages/domains get surfaced or cited in ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, etc., then identify gaps and recommend actions.

My shortlist

If your key requirement is literally "show me which pages on our site are being surfaced, and tell me what to change," I'd start with Semrush, TrackCited, and OptimizeTrack.

A particularly relevant capability is page-level citation tracking. For example, OptimizeTrack shows the AI answer alongside the exact URL from your site that was cited, and compares citation frequency over time. optimizetrack.q5labs.co TrackCited similarly reports the sources AI engines cite and identifies citation gaps where competitors are appearing instead of you. www.trackcited.com

Where Semrush stands out

Semrush has an AI Search Optimizer specifically designed to make pages more citable by AI systems. Its guidance is based around things like clearer answers, credibility/evidence, and content structure—not merely traditional keyword optimization. www.semrush.com

Ahrefs' Brand Radar is particularly useful for discovering which domains and pages are being cited alongside your brand, across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. ahrefs.com

One important distinction

I'd avoid buying a tool that only gives you an "AI visibility score." That's useful for reporting, but it doesn't answer the operational question you're asking:

"For each important page on our site, which AI queries surface it, which queries don't, which competitor page gets cited instead, and what should we change?"

You want a platform that gives you something closer to:

Page → AI prompts → engines → citations → competitor cited instead → reason/gap → recommended optimization → change → re-test

That's increasingly important because AI citation behavior isn't simply equivalent to Google rankings. Recent research found meaningful differences in how generative engines select and use sources, including the importance of page structure, semantic alignment, and extractable evidence. arxiv.org

If you tell me roughly how many pages you have (e.g. 500 / 10K / 1M), whether you're B2B or B2C, and whether you're already using Semrush or Ahrefs, I can narrow this to the 2–3 tools I'd actually evaluate and compare their pricing/features.

Yes. A new category of tools—often called AI Visibility, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) platforms—does exactly this. The more mature platforms can:

• Track which specific pages from your site are cited or referenced by ChatGPT, Google AI Overviews, Gemini, Perplexity, Claude, and other AI search engines.
• Identify prompts where your competitors are cited instead of you.
• Recommend which pages need improvements.
• Suggest content, structure, schema, and authority enhancements to increase the likelihood of being cited.

Here's how the leading options compare:

If your goal is page-level optimization

The strongest fit is Scrunch. Its Site Maps feature was built specifically to connect AI visibility back to individual URLs. It identifies:

• Which pages AI can understand well
• Which pages are rarely or never surfaced
• AI readability issues
• Missing entities, structured data, and answer formats
• Prioritized fixes for each page scrunch.com

If you're already using SEO software

Both Semrush and Ahrefs are expanding beyond traditional SEO:

• AI visibility reports
• Brand mentions inside AI answers
• Competitor citation tracking
• Recommendations alongside existing SEO metrics www.techradar.com

What these tools typically recommend

Rather than generic "improve SEO" advice, better GEO platforms identify things like:

• Pages that answer the wrong intent
• Missing comparison sections
• Weak entity definitions
• Lack of original statistics or data
• Missing FAQ or Q&A sections
• Poor internal linking
• Missing schema markup
• Missing citations or evidence supporting claims
• Content that AI struggles to summarize scrunch.com

If you want the most complete workflow

A strong stack today is:

• Scrunch for page-level AI diagnostics
• Semrush or Ahrefs for traditional SEO plus AI visibility
• Google Search Console for measuring actual organic performance
• Your analytics platform (e.g., GA4) to track referral traffic from AI assistants where available

This combination lets you see:

1. Which prompts surface your brand.
2. Which URLs are being cited.
3. Which important pages are absent.
4. Exactly what to change on each page to improve its chances of appearing in generative search.

Yes. A new category of software—often called Generative Engine Optimization (GEO) or AI search visibility platforms—does exactly this. The strongest products can:

• Discover which of your pages are cited or surfaced by ChatGPT, Google AI Overviews, Perplexity, Gemini, Claude, Copilot, etc.
• Track share of voice for prompts relevant to your business.
• Identify which competitor pages are being cited instead.
• Recommend specific page-level improvements (content gaps, structure, schema, FAQs, entity coverage, citations, technical issues).
• Monitor changes over time as AI engines evolve.

Here's how the leading options compare:

These platforms generally monitor responses across major AI engines, determine which URLs are cited or influence answers, and generate prioritized recommendations such as improving topical coverage, adding structured data, strengthening entities, or restructuring content for better AI retrieval. www.optimizegeo.ai

If you already use enterprise SEO software

Many traditional SEO platforms are adding AI visibility features:

• Semrush – AI Visibility Toolkit
• Ahrefs – Brand Radar and AI visibility reporting
• Surfer – Content optimization for AI search
• HubSpot – AEO capabilities integrated with CRM
• SE Ranking – AI search monitoring features

Recent reviews suggest these are becoming viable options if you already have an established SEO workflow, although dedicated GEO platforms tend to provide deeper AI citation analysis. www.techradar.com

What the best GEO platforms actually show

The more mature tools go beyond simple brand mentions and answer questions like:

• Which specific URL from our site was cited?
• Which prompts trigger that page?
• Which AI engines cite it?
• Which competitor URLs are winning instead?
• What content is missing?
• Which pages have high citation potential but aren't being surfaced?
• What changes are most likely to increase AI citations?

This page-level visibility is much more actionable than simply tracking whether your brand appears in AI answers.

My recommendation

• Best overall: OptimizeGEO
• Best for dedicated AI search monitoring: Surfaced
• Best if you're already invested in SEO tooling: Semrush AI Visibility Toolkit or Ahrefs Brand Radar
• Best for technical teams wanting page attribution: Surface Rank

If you're managing a content-heavy site (hundreds or thousands of pages), I would prioritize a platform that combines citation tracking, page-level diagnostics, and optimization recommendations, rather than one that only reports brand mentions. That combination provides the clearest path from AI visibility data to content improvements.

If you're looking specifically for Generative Engine Optimization (GEO)—understanding which pages from your site are being cited, summarized, or surfaced by AI search experiences (ChatGPT, AI Overviews, Perplexity, Claude, Gemini, etc.)—this is an emerging category. No platform has complete visibility because AI providers don't expose all ranking or citation data, but several tools provide useful coverage.

Here's how the leading options compare:

If your goal is "Which pages are AI surfacing?"

The strongest products today are:

Profound

• Monitors prompts across ChatGPT, Gemini, Perplexity, Claude, and other AI assistants.
• Identifies which of your URLs appear in AI answers.
• Tracks competitors appearing instead.
• Suggests content gaps and authority improvements.
• Best suited for medium to large enterprises.

Peec AI

• Built specifically for GEO.
• Tracks AI answer visibility over time.
• Shows:
  • pages cited
  • prompts triggering citations
  • citation frequency
  • competitors replacing your pages
• Provides actionable recommendations for improving AI visibility.

Scrunch AI

• Designed for large documentation sites, SaaS companies, and publishers.
• Highlights:
  • crawlability issues affecting AI retrieval
  • missing structured content
  • page authority opportunities
  • content that AI systems ignore

If you already use traditional SEO tools

Current SEO suites are adding AI features:

• Semrush now reports AI visibility for many queries and recommends content improvements.
• Ahrefs is expanding AI-related reporting, especially around brand presence and citations.
• SE Ranking and Moz have started introducing AI search reporting, though these capabilities are generally less comprehensive than dedicated GEO platforms.

Features to prioritize

When evaluating a platform, look for:

• Prompt-level tracking (which queries trigger your pages)
• URL-level reporting (exact pages cited)
• Competitor comparison
• Citation share by AI platform
• Content gap analysis
• Schema and structured data recommendations
• Internal linking suggestions
• Monitoring over time, not just one-time snapshots

My recommendation by organization size

• Enterprise (Fortune 1000): Profound or Scrunch AI
• Mid-market SaaS or ecommerce: Peec AI
• Already invested in SEO tools: Semrush plus a dedicated GEO platform
• Agencies managing multiple clients: Profound or Peec AI

One important caveat: no software can definitively report every instance where an AI model uses your content, since many AI systems don't disclose all retrievals or influences. The best platforms estimate visibility by repeatedly testing prompts across AI assistants, detecting citations and linked sources, and tracking trends over time rather than relying on official ranking data.

If your site has 100,000+ pages, I can also recommend enterprise-grade tools that scale well for large documentation, ecommerce, or publisher sites.

If you mean generative search visibility (which pages from your site are appearing in AI-generated answers from systems like Google AI Overviews, ChatGPT search, Perplexity, Bing Copilot, etc.) and you want optimization recommendations, the market is still emerging. No single platform perfectly maps all AI search citations, but these tools are among the strongest options:

Capabilities to look for

A useful generative search optimization platform should be able to:

1. Map cited URLs
   • “When someone asks X, AI engines cite /product-a/ and /guide-b/.”
   • Show which pages win citations vs. competitors.

2. Track prompt/query coverage
   • Identify the questions where your brand appears or is missing.

3. Separate AI visibility from traditional rankings
   • A page can rank #8 in Google but still be heavily cited in AI answers.

4. Provide content recommendations
   • Missing entities/topics
   • Better FAQ structures
   • Schema opportunities
   • Content freshness needs
   • Authority signals needed

5. Monitor competitor citations
   • Which competitor pages are being used as AI sources?
   • What content patterns are winning?

Practical stack by company size

Small–mid-size site

• Semrush AI Visibility + Google Search Console + GA4
• Add Otterly.ai or Scrunch AI if AI monitoring is a priority.

Enterprise site

• Profound or BrightEdge + existing SEO platform
• Add crawler/log analysis to understand AI bot access and content discoverability.

Technical SEO-heavy teams

• Ahrefs + Screaming Frog + an AI visibility tracker.

A caveat: AI search engines do not expose a complete, stable index of “all pages surfaced,” so these platforms typically use prompt sampling and citation tracking, not a definitive crawl report like traditional SEO tools. The best ones help answer: “For the queries that matter to us, which of our URLs are being cited, by which AI engines, and what changes could improve our odds?”

Yes. A new category of software—often called Generative Engine Optimization (GEO) or AI Search Visibility platforms—is designed specifically for this. The best tools don't just tell you whether your brand appears in ChatGPT or Google AI Overviews; they also identify which pages are being cited or surfaced and recommend changes to improve visibility.

Here's how the leading options compare:

If your goal is page-level insights

Look for software that provides:

• Citation mapping – Which URLs on your site are referenced by ChatGPT, Perplexity, Gemini, or Google AI Overviews.
• Prompt coverage – Which prompts cause each page to appear.
• Share of voice – How often your pages are surfaced compared with competitors.
• Citation frequency – Which pages are cited most often.
• Missing opportunities – Questions where competitors are cited but you are not.
• Actionable recommendations, such as:
  • Add FAQs or comparison tables
  • Improve schema markup
  • Strengthen entity relationships
  • Add supporting evidence and references
  • Improve page structure for AI extraction
  • Fill topical gaps

Platforms like OptimizeGEO specifically advertise page diagnostics, citation mapping, and recommendations tied to AI search visibility rather than traditional SEO metrics. www.optimizegeo.ai

If you already use an SEO platform

Many established SEO suites are adding AI visibility features:

• Semrush now includes AI visibility reporting alongside traditional SEO.
• SE Ranking has added AI search monitoring capabilities. www.techradar.com

This is a good choice if you want one platform for both SEO and AI search.

One important limitation

No tool can definitively tell you every page that an LLM "knows" or uses internally. AI search is probabilistic, and responses vary across prompts, models, and over time. The best platforms repeatedly test thousands of prompts across ChatGPT, Google AI, Perplexity, Gemini, Claude, and other engines to estimate visibility and identify the pages most often cited or recommended. Researchers recommend repeated measurements rather than relying on a single snapshot. arxiv.org

If you're evaluating vendors, I'd prioritize those that can answer these questions:

1. Which of our URLs are cited most often?
2. Which competitor URLs are cited instead?
3. Which prompts trigger each page?
4. Why was a competitor's page selected over ours?
5. What specific page changes are recommended, and can their impact be measured over time?

Those capabilities are what distinguish mature GEO platforms from basic AI mention trackers.