ChatGPT answers, unedited

Yes. The category you’re looking for is usually called AI search visibility / GEO (Generative Engine Optimization) software. The important distinction is that you want more than a brand-mention tracker: you want page-level citation attribution + recommendations for what to change on those pages.

The strongest fits

For your specific requirement

I'd narrow the evaluation to Lighthouse, Veritas, PageLens, and MentionScout.

The workflow you want should look roughly like:

Your site → buyer prompts → AI answers → cited URLs → which of your pages are cited → competitor pages cited instead → page/content gap → recommended changes → re-test

For example, ideally you could see:

Prompt: "Best software for managing X for a 500-person company?"
ChatGPT: mentions your company
Citation: /solutions/x-management
Perplexity: mentions your competitor
Citation: competitor /x-management-guide
Recommendation: strengthen your page's comparison evidence, add specific use cases, answer the missing question, improve structured information, etc.

That's substantially more useful than a generic "AI visibility = 34%" dashboard.

One caveat: AI-search visibility is still a noisy measurement problem. Different runs can produce different answers, and the research literature is not yet strong enough to establish that particular GEO tactics reliably produce durable cross-platform gains. arXiv So I'd favor products that let you inspect the actual prompts, answers, cited URLs and changes over repeated measurements, rather than relying heavily on a proprietary visibility score.

If you tell me your site size (e.g. 500 vs. 50,000 pages), B2B/B2C, and whether you care primarily about ChatGPT/Perplexity or Google AI Overviews/AI Mode, I can narrow these down to 2–3 and compare page-level mapping, recommendations, integrations, pricing, and API/export capabilities.

If your key requirement is “which specific site pages are being cited/surfaced by AI search, and what should we change on each page?”, I’d shortlist:

• ahoylighthouse.com — particularly strong fit: page-level citation tracking plus specific fixes tied to individual pages. Lighthouse
• quattr.com — tracks which pages are selected across ChatGPT, Claude, Perplexity and Google AI experiences and connects findings to SEO/GEO workflows. Quattr
• ahrefs.com — excellent for identifying cited pages/domains, AI visibility, competitors and AI referral traffic; particularly useful if you already use Ahrefs. Ahrefs Help Center Ahrefs
• semrush.com — broader SEO + AI visibility platform with recommendations for pages/content to fix or create. Semrush

For your exact use case, I’d start by evaluating Lighthouse and Quattr, then compare them against Ahrefs if you already have an SEO stack.

Yes. The category you want is usually called GEO / AI Search Visibility / AEO software. The important distinction is that you want page-level citation attribution, not just “is our brand mentioned by ChatGPT?”

My shortlist:

Current market comparisons put Profound toward the enterprise end, while tools such as Otterly and Peec are more focused on monitoring. Geo Software Rankings Meridian15

For your exact requirement, I'd look hardest at 3

1. GEO Studio — probably the closest functional match

It explicitly crawls your site, shows which URLs are indexed/analyzed, tracks citations across ChatGPT, Claude, Perplexity and Gemini, and provides page-scoped recommendations such as adding schema or improving answerability. Its workflow is essentially:

prompt → AI answer → cited URL → page analysis → specific fix. GeoStudio

geostudio.app

2. Profound — if you're an enterprise/large marketing team

I'd investigate this if you need robust monitoring, competitive intelligence, lots of prompts/markets, and reporting rather than primarily a content-optimization workflow. Enterprise GEO platforms increasingly distinguish themselves through citation/source analysis and competitive benchmarking. Geo Software Rankings GeoHero

3. Temso AI — if you want “identify → recommend → create”

Temso is interesting because it combines AI citation tracking with recommendations and content briefs rather than stopping at a visibility dashboard. Geo Software Rankings

One important buying criterion

Ask every vendor this exact question:

“Can you show me the exact URL from our site that was cited in an AI response, the prompt that produced the response, the surrounding citation context, and then tell me what we should change on that specific URL to increase its probability of being cited?”

A lot of “AI visibility” products primarily measure brand mentions/share of voice. That's useful, but it's not the same as mapping which pages are actually being surfaced.

For example, GEOCARA says it records answers and citations and then turns findings into prioritized content, schema and authority recommendations. GEOCARA

If you tell me roughly how many pages your site has (100 / 1,000 / 10,000+) and whether you're B2B, ecommerce, publisher, etc., I can narrow this to the 2–3 tools I'd actually demo, including pricing and what each can/can't tell you at the URL level.

Yes. The category you’re looking for is AI search visibility / GEO (Generative Engine Optimization) software. The key distinction is that you want a platform that goes beyond “is our brand mentioned?” and tells you which specific URLs are being cited, for which prompts, by which AI engines, and what to change on those pages.

My shortlist

The one I'd look at first: OtterlyAI

Otterly explicitly tracks the individual URLs cited in AI answers, rather than just measuring whether your company was mentioned. It monitors ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude, and says it checks URL citations daily. Otterly Otterly

More importantly for your question, its Content Audit evaluates individual pages for AI-readiness and provides specific improvements, while its Recommendations feature uses citation/competitor data to suggest what to do next. Otterly

So you can get a workflow roughly like:

Prompt: “best enterprise CRM for a 500-person company”
→ AI engine: ChatGPT
→ Your brand: mentioned
→ Your cited page: /enterprise-crm/
→ Competitor cited: /solutions/enterprise/
→ Opportunity: competitor is being cited for X while your page lacks Y
→ Recommendation: improve/add specific content, structure, schema, etc.

That's much closer to what I think you're asking for than conventional SEO software.

If you're a large enterprise

I'd put Profound at the top of the evaluation list. It's designed around deeper AI-search intelligence and enterprise reporting. Current comparisons consistently put it in the enterprise/deep-data tier, while Otterly is positioned more as the accessible starting point. PickMySoft Bloomiro

One important caveat

Don't buy a tool just because it says it tracks “AI visibility.” There are actually three different capabilities:

1. Prompt visibility — Does AI mention your brand?
2. Citation intelligence — Which of our URLs does AI actually use as a source?
3. Optimization intelligence — Why is that URL being selected, and exactly what should we change?

For your use case, #2 and #3 are the important ones.

Otterly, for example, explicitly advertises both URL-level citation tracking and page-level content audits/recommendations. Otterly

If you tell me roughly how many pages/domains you have, whether you're B2B or B2C, and which AI surfaces matter most (ChatGPT, Google AI Overviews, Perplexity, Gemini, etc.), I can narrow this to the 2–3 tools I'd actually put through a trial, including what each one can and cannot tell you.

So you can get a workflow roughly like:

Prompt: “best enterprise CRM for a 500-person company”
→ AI engine: ChatGPT
→ Your brand: mentioned
→ Your cited page: /enterprise-crm/
→ Competitor cited: /solutions/enterprise/
→ Opportunity: competitor is being cited for X while your page lacks Y
→ Recommendation: improve/add specific content, structure, schema, etc.

That's much closer to what I think you're asking for than conventional SEO software.

If you're a large enterprise

I'd put Profound at the top of the evaluation list. It's designed around deeper AI-search intelligence and enterprise reporting. Current comparisons consistently put it in the enterprise/deep-data tier, while Otterly is positioned more as the accessible starting point.

One important caveat

Don't buy a tool just because it says it tracks “AI visibility.” There are actually three different capabilities:

Yes. What you’re describing is usually called AI search visibility / AI citation tracking / GEO (Generative Engine Optimization).

The key distinction is that you want a tool that does page-level citation tracking, not merely “does my brand appear in ChatGPT?”

My shortlist

Lantern is particularly relevant because its page tracker lets you put in specific URLs and monitor whether those pages are cited over time, while also running content/technical AI-search analysis and giving recommendations. Lantern

Kazevo is interesting if you want the software to go one step further: it says it identifies the competitor page that won an answer, diagnoses differences such as structure, schema and freshness, and can apply certain fixes before re-measuring the same prompt. Kazevo

Veritas explicitly combines citation monitoring + page-level source identification + GEO/AEO recommendations, including things like structure, entities, schema and external citations. Veritas

Ahrefs is a particularly sensible choice if you're already an Ahrefs customer. Its AI visibility product now analyzes AI mentions and citations across a very large prompt database, although its strength is more measurement/research than automatically telling you exactly how to rewrite a particular page. Ahrefs Ahrefs

What I would choose

If your requirement is specifically:

“Show me which URLs on our site are appearing in generative search, tell me which queries/answers they're appearing for, show me competitor URLs that are winning instead, and tell my team what to change.”

I'd evaluate Lantern and Kazevo first, with Veritas as another strong option.

The workflow you want should look roughly like:

Customer prompt → AI engine → answer → cited URL → your page vs. competitor page → reason competitor won → recommended changes → re-run prompt → measure improvement

That's substantially more useful than an AI “visibility score.” Recent research also supports separating simple citation from how much influence a cited page actually has on the generated answer. arXiv

If you tell me your site size (e.g. 500 / 10,000 / 1M pages), B2B vs. B2C, and which AI surfaces matter most (Google AI Overviews, ChatGPT, Perplexity, Gemini, etc.), I can narrow this to the best 2–3 tools and compare pricing, page-level tracking, integrations, and optimization capabilities.

Yes. What you’re looking for is usually called AI search visibility / AEO / GEO software. The important distinction is that some tools only tell you whether your brand appears in AI answers, while others tell you exactly which of your URLs are being cited and what to change on those pages.

Best fits

• hubspot.com — Strong if you already use HubSpot. It tracks prompts across ChatGPT, Gemini and Perplexity, and its citation analysis identifies the pages/domains appearing in AI answers. It also provides recommendations and content opportunities. HubSpot
• conductor.com — Probably the strongest fit for a larger SEO/content team. It combines AI visibility tracking with traditional SEO, content optimization and technical monitoring, and explicitly connects AI visibility to traffic/conversions/revenue. Conductor
• oversearch.ai — Particularly relevant to your question because it shows which pages on your site are actually being used as evidence in AI answers, then provides step-by-step optimization tasks. Oversearch
• babel42.io — Good for granular citation tracking. It reports whether you appear for a query, which page was cited, which competitor pages were cited instead, and gives ranked recommendations. It also covers Google AI Overviews/AI Mode in addition to chat assistants. Babel42
• ranqo.ai — More GEO-focused and action-oriented. It tracks cited sources across AI engines and has page audits plus recommendations ranked by impact/effort. Ranqo
• showin.ai — An all-in-one GEO platform that audits AI-readiness, monitors citations and provides a prioritized fix list. ShowIn AI

What I'd prioritize

If your requirement is specifically:

“Show me which pages on our site are being surfaced/cited by generative search, then tell my SEO/content team what to optimize.”

I'd shortlist OverSearch, Babel42, HubSpot AEO, and Conductor.

The underlying workflow you want looks like:

Customer prompts → AI answers → cited URLs → your page-level visibility → competitor URLs → content/technical gaps → prioritized recommendations → re-measure

That's substantially more useful than a simple “AI visibility score.” Research into GEO measurement also suggests that being cited isn't the whole story: a page can be cited but contribute little to the generated answer, so measuring citation influence/absorption is increasingly important. arXiv

If you tell me roughly how big your site is (e.g. 500, 10K, 1M pages), whether you're B2B/B2C, and whether you already use Semrush/Ahrefs/Conductor/Adobe/GA4, I can narrow this to the 2–3 products I'd actually evaluate, including pricing and what each can/can't report at the URL level.

Yes. What you’re looking for is generally called GEO / AI Search Visibility / AI Citation Tracking software. The key distinction is that some tools merely tell you whether your brand was mentioned, while better ones tell you which URL was cited and what to change on that URL.

My shortlist

Vercite is particularly close to your wording: it says it tracks the exact sources used by ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, and distinguishes pages that were retrieved from pages that actually became citations. Vercite

Lumos is particularly interesting if you want the second half of the workflow. It scores every page for citability and provides prioritized recommendations around schema, freshness, authority and structure, with Google Search Console integration. Lumos

GEO Jetpack explicitly describes “content-to-citation mapping”—which of your pages contribute to citations and which prompts they should be earning citations for—plus page-level recommendations. GEO Jetpack

What I'd choose

If your requirement is:

“Show me that /product-x is being cited for these AI queries, show me which competitor URL wins when we aren't, and tell my SEO team exactly what to change.”

I'd evaluate Vercite + Lumos GEO first.

If you want one platform rather than combining tools, I'd put Lumos GEO and GEO Jetpack at the top of the evaluation.

One important caveat: “AI visibility” isn't the same as actual referral traffic. A platform can observe citations in sampled AI answers, but that doesn't necessarily mean it can attribute a real user visit or conversion to that citation. I'd therefore look for integration with Google Search Console, GA4/server logs, and your CRM in addition to citation tracking.

If you tell me roughly how many pages your site has (e.g. 500, 10K, 1M) and whether you're B2B, ecommerce, local, or publisher, I can narrow this to the 3 best platforms and compare pricing, engines covered, page-level reporting, API access, and optimization capabilities.

Yes. The category you want is generally called AI search visibility / GEO (Generative Engine Optimization) software. The key distinction is that some tools merely tell you whether your brand appears, while you specifically want to know which URLs/pages are being surfaced or cited and what to change on those pages.

My shortlist

HubSpot's AEO product is particularly explicit about this workflow: it shows which pages and domains drive AI visibility, including pages cited for competitors, and then generates prioritized recommendations such as updating an existing page, creating content, fixing technical gaps, or pursuing third-party coverage. HubSpot

Lighthouse is probably the closest match to your wording. It says it can score every page for AI citability, map citation sources to your domain, and provide page-level optimization recommendations, while tracking ChatGPT, Perplexity, Claude, Gemini and other assistants. Lighthouse

ahoylighthouse.com

PageLens takes a similar approach: it identifies which sources AI answers are built from and positions itself around turning that information into pages/content designed to win citations. PageLens

pagelens.ai

Synect GEO is another interesting option because its reporting explicitly includes cited pages, topics, source opportunities, competitors, and an automatically generated action list with the proposed change and rationale. SynectGEO

synectgeo.io

What I'd look for in a tool

For your use case, I wouldn't buy one based on an "AI visibility score" alone. I'd require this workflow:

Prompt → AI answer → cited URL → your page → competitor's cited page → specific recommended change → re-test

For example:

User asks: "Best enterprise cybersecurity platforms for healthcare"
ChatGPT cites competitor.com/comparison
Your site has /healthcare-security but isn't cited
Tool identifies the gap
Recommendation: add X evidence, Y comparison information, Z structured section to /healthcare-security
Re-run the prompt after publishing and measure whether your URL starts getting cited.

That's much more useful than simply knowing that "your brand has 23% AI visibility."

One important caveat: AI search visibility is still an emerging measurement category, and results can vary substantially by prompt, model, location and time. So I'd favor tools that show the actual AI responses and source URLs, rather than opaque scores. Current platforms increasingly emphasize citation/source-level analysis for this reason. sitepoint.com

If you tell me roughly how many pages your site has, your CMS (e.g. WordPress/Webflow/HubSpot), and whether you're B2B or B2C, I can narrow this to the 2–3 tools I'd actually evaluate, including pricing and what each can/can't do at the URL level.

Yes. The category you want is usually called GEO / AEO / AI-search visibility software. The important distinction is that you don't just want a tool that says “your brand was mentioned” — you want URL-level citation tracking + page-level optimization recommendations.

My shortlist

The ones I'd investigate first

1. Quattr — probably the closest match if you have an established SEO/content operation. It explicitly tracks which pages are selected across ChatGPT, Google AI Overviews, Claude, Perplexity and other answer engines, then provides recommendations around content, relevance, structure and internal linking. It can also connect AI citations with GA4/Search Console. Quattr

2. Scrunch — particularly good if your first question is “Which URLs are actually getting cited, for which prompts, and which competitor pages are beating us?” It provides URL-level citation data, the prompts associated with pages, the actual AI answers, and historical trends. Scrunch

3. Lighthouse — interesting if you want the tool to go further from measurement into “here's what to change on this particular page.” It claims to score individual pages for AI citability and attach recommendations to the score. Lighthouse

4. HubSpot AEO — worth considering if your marketing team already lives in HubSpot. It combines prompt monitoring, citation analysis, competitive share of voice and prioritized content recommendations. HubSpot

One important caveat

I'd avoid buying based on a generic “AI visibility score.” What you really want to see in a demo is something like:

Prompt: “best enterprise expense management software”
ChatGPT: Your site cited
Cited URL: /resources/enterprise-expense-management
Competitor cited URL: /compare/enterprise-expense-management
Why competitor wins: clearer comparison, more first-party evidence, stronger answer structure
Recommended action: update section X, add evidence Y, strengthen internal links Z
Re-test: citation changes from 0 → 3/10 runs

That distinction matters because research on GEO suggests that being cited and actually influencing the generated answer are different things; page structure, semantic alignment and extractable evidence appear to matter substantially. arXiv

If you tell me roughly how large your site is (e.g. 500, 10K, 1M pages), your CMS, and whether you're B2B/B2C, I can narrow this to the 3 best platforms and compare pricing, AI engines covered, page-level mapping, integrations, and recommendation quality.

Yes. What you’re looking for is generally called GEO / AEO / AI-search visibility software: tools that run representative prompts against ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot, etc., then show which URLs are being cited and what you should change.

My shortlist

The one I'd investigate first: OtterlyAI

Otterly is unusually close to the workflow you described. It tracks website/domain citations, so you can see the URLs that AI engines are actually using, rather than merely getting a brand-mention score. It currently covers Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini and Copilot (and Claude through its API-based tracking). Otterly Otterly AI

More importantly, it has a Recommendations layer. It analyzes your visibility/citation data and generates prioritized actions, and its citation-gap workflow can identify the pages competitors are getting cited instead of you. Otterly AI Otterly AI

For example, the workflow can look like:

Prompt: "best enterprise project management software"
AI answer: mentions your company
Cited URLs: /solutions/enterprise, /blog/project-management-guide
Competitor cited instead: competitor.com/enterprise-guide
Opportunity: improve /solutions/enterprise, create supporting comparison content, pursue third-party sources, etc.

Otterly's own citation-gap tooling can even turn those gaps into content briefs with suggested URL structure, H1/H2s, internal links and an "AI answer hook." Otterly

Profound is the other one I'd demo

Profound is the option I'd put alongside Otterly if you're a larger organization. It is more oriented toward deep enterprise-level AI-search intelligence and citation analysis. Current comparisons generally put it toward the enterprise end of the market. PickMySoft Bloomiro

The key distinction I'd make in a demo is:

"Show me every prompt where our domain is cited, the exact URL cited, the competing URL that wins when we're absent, and the recommended action for our page."

Don't settle for a tool that only reports "your brand was mentioned 37% of the time." The URL-level citation data is what lets you turn AI visibility into an actual content/SEO work queue.

What I'd choose

If your primary requirement is:

"Which pages on our site are being surfaced by generative search, and what should we do to get more of our pages surfaced?"

I'd test OtterlyAI first, then Profound.

If you tell me roughly how big your site is, 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 best products and compare their actual page-level reporting, recommendations, integrations, and pricing.

Yes. If your specific requirement is “show me which URLs on our site are actually being surfaced/cited by generative search, then tell me what to change on those pages,” there are a few platforms worth evaluating.

Best fits

1. Scrunch — probably the closest match to what you're describing

Scrunch has a Site Maps feature that maps your site's pages and shows, at the individual-URL level:

• AI-agent traffic
• Which pages are being cited
• AI referrals
• An AI/technical audit score
• Which pages are high-opportunity but underperforming

You can then run a Deep AI Audit on a page and get concrete content recommendations. Scrunch explicitly describes recommendations such as improving introductions, CTAs, context, and FAQ-style content. Scrunch Help Center Scrunch

Its citation system also lets you see the specific URLs appearing in AI-generated responses from ChatGPT, Perplexity, Google AI Overviews, Gemini, etc., rather than merely giving you a domain-level visibility score. Scrunch Help Center

helpcenter.scrunchai.com

I'd put this first on your shortlist if your core question is: “Which pages of our actual site are AI engines using, and what should we fix on each one?”

2. Profound — strongest alternative for enterprise teams

Profound's Pages product is also very close to this use case. It breaks down an individual page's citations by prompt, topic, platform, region, persona and even text chunks, so you can understand why a particular page is winning. Profound Knowledge Base

Its Content tab scores pages on things such as:

• readability
• freshness
• content structure
• information density
• machine readability

…and translates those into specific optimization recommendations with projected score impact. Profound Knowledge Base

Profound also compares your pages against highly cited pages and provides content-gap recommendations based on what answer engines are actually citing. Profound Profound

I'd choose Profound over Scrunch if you have a large enterprise SEO/content team and want deeper prompt-level, competitive and workflow analytics.

3. AthenaHQ — broader AEO/GEO optimization

AthenaHQ is more of an end-to-end AI-search optimization command center. It tracks visibility across 11+ LLMs and combines prompt monitoring, citation analysis, competitive intelligence and automated content optimization recommendations. AthenaHQ - Action on AI Search

It's compelling if you're interested in more than just page citations—for example, brand perception, share of voice, competitive monitoring and an ongoing optimization workflow.

My recommendation

For your exact wording, I'd evaluate them in this order:

1. Scrunch → 2. Profound → 3. AthenaHQ

The important distinction is that you don't just want an AI visibility tracker. You want a system that connects:

Prompt → AI answer → cited URL → your specific page → why it was/wasn't cited → recommended page changes → subsequent citation performance.

Scrunch and Profound are currently the two that most directly expose that chain. Scrunch Help Center Profound Knowledge Base

If you tell me roughly how many pages your site has (e.g. 500, 10K, 1M+) and whether you're B2B, ecommerce, publisher, SaaS, etc., I can narrow this down further and compare pricing, AI engines covered, URL-level reporting, recommendations, integrations, and API/export capabilities.

Yes. The category you’re looking for is AI search visibility / Generative Engine Optimization (GEO) software. The key distinction is whether the tool merely tells you “your brand was mentioned” or actually maps specific URLs → specific AI prompts → citations → recommended page changes.

My shortlist

1. scrunch.com — probably closest to what you're describing

Scrunch has a Site Maps product specifically designed to map your website page-by-page against AI search performance. It can show which pages are getting AI-agent traffic, which pages are being cited, and which pages need attention. Scrunch Scrunch

More importantly, its newer Site Diagnostics feature provides prioritized, page-by-page recommendations for improving AI retrievability and citability. For example, it can identify a page where adding comparative analysis would make it more useful for AI answers. Scrunch Scrunch

Its workflow is essentially:

Your URLs → AI crawling/traffic → AI citations → page diagnostics → recommended changes → re-measure visibility

That makes it the closest match if your question is specifically “Which pages on our site are being surfaced by generative search, and what should we change on each page?”

2. otterly.ai — strongest alternative

Otterly tracks the actual URLs cited in AI answers, rather than just whether your company was mentioned. It monitors ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude. Otterly Otterly

It also has Content Audit / GEO Optimization, including crawlability checks, content audits and prioritized recommendations. Otterly

I particularly like Otterly if your objective is:

“For the prompts our prospects care about, show me which pages—including competitor pages—are getting cited, then tell me where our content has gaps.”

It explicitly supports finding prompts where competitors are cited but you aren't, and translating those gaps into content/optimization opportunities. Otterly AI

3. Semrush

If your team already lives in Semrush, I'd seriously evaluate its AI Visibility capabilities before adding another platform. It can identify AI-cited pages and the queries that triggered those citations, while connecting that information to conventional SEO and competitor research. OpenAIToolsHub

The advantage is having traditional SEO + AI search in one ecosystem.

4. Profound

I'd put Profound on the shortlist if you're an enterprise organization with a large content footprint and want deeper AI-search intelligence, competitive analysis and reporting. Current industry comparisons consistently put it toward the enterprise end of this category. PickMySoft Sona

What I'd choose

If page-level optimization is the primary requirement, I'd test:

1. Scrunch → 2. OtterlyAI → 3. Semrush

The distinction I'd use in vendor demos is this:

“Show me every URL on our domain that has been cited in AI answers, the prompts that caused each URL to be cited, the AI engine, citation frequency/trend, competing URLs that are being cited instead, and the specific changes you recommend making to each of our pages.”

That question will separate the genuinely useful GEO platforms from tools that mostly provide a brand visibility score.

One other important point: “AI traffic” and “AI citations” aren't the same thing. A page can be crawled heavily by AI agents but never actually be cited, which is precisely why Scrunch's page-level mapping is interesting. Scrunch

If you tell me roughly how many pages your site has (e.g. 500, 10K, 1M) and whether you're primarily concerned with ChatGPT, Google AI Overviews/AI Mode, Perplexity, or all of them, I can narrow this to the 2–3 best platforms and compare their capabilities/pricing.

Yes. The category you want is AI search visibility / GEO (Generative Engine Optimization) software—but there’s an important distinction: some tools only tell you whether your brand is mentioned, while the better ones identify the exact URLs/pages being cited and then recommend what to change.

My shortlist

Semrush is particularly close to the workflow you described: it says you can drill from overall AI visibility down to individual prompts and citations, identify pages/gaps, audit content, score pages, and receive prioritized recommendations. Semrush for Enterprise Semrush

Its free checker also explicitly reports which pages on your website drive the most AI citations, along with the topics/prompts where you're appearing. Semrush

If your question is specifically…

“For each important query, which URL on our site is ChatGPT/Perplexity/Google AI Overviews using, and what should we change on that URL to increase its chance of being cited?”

I'd prioritize:

1. Semrush Enterprise AIO — strongest combination of AI visibility + existing SEO/content data.
2. Profound — particularly worth evaluating if citation-level AI-search intelligence is the primary requirement.
3. SiteSonar — interesting if you're a B2B company and want the software to turn citation gaps into concrete page changes.
4. Peec AI — good candidate if you want a more focused AI-search monitoring platform rather than a broad SEO suite.

The underlying measurement is also evolving beyond simply counting citations. Recent research distinguishes citation selection (AI chooses your page) from citation absorption (the answer actually uses information from your page), which is a useful criterion when evaluating these products. arXiv

If you tell me roughly how large your site is (e.g. 500, 5,000, or 100,000 pages), whether you're B2B/B2C, and which engines matter most (ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, etc.), I can narrow this to the 2–3 tools I'd actually demo and give you a feature/pricing comparison.

If your question is specifically…

If you mean “which of our website pages are being cited/surfaced in ChatGPT, Google AI Overviews, Perplexity, Gemini, etc., and what should we change to get more visibility?”, you’re looking for Generative Engine Optimization (GEO) / Answer Engine Optimization (AEO) platforms. The strongest tools combine:

1. Citation tracking — which URLs are appearing in AI answers
2. Prompt monitoring — which customer questions trigger your visibility
3. Competitor comparison — who gets cited instead of you
4. Page-level recommendations — what to change on specific pages
5. Technical/content audits — schema, structure, evidence, authority signals

Some leading options:

My shortlist by scenario

If you have a large site (hundreds/thousands of pages):

• Profound
• Scrunch AI
• Semrush/Ahrefs if you already use them

If you want “tell me exactly which pages to fix”:

• Geoptie
• Surfer SEO
• Some Profound workflows

If you want a lightweight monitoring layer first:

• Otterly.AI
• Peec AI

What I would look for in a vendor demo

Ask them to show:

• “Show me every URL from our domain cited in ChatGPT answers.”
• “Show me pages that rank in Google but are absent from AI answers.”
• “Show me competitor pages replacing us.”
• “Give me recommendations for this exact URL.”
• “Can you track prompts like best [category], alternatives to [product], how to choose [solution]?”
• “Can you export citation data into GA4/Search Console/BI tools?”

A useful implementation usually starts with a prompt set of 50–500 buyer questions, then maps:
prompt → AI answer → cited sources → your pages → optimization actions. SitePoint

If you tell me your company type (B2B SaaS, ecommerce, publisher, local business, etc.) and approximate site size, I can narrow this to the 2–3 tools most likely to fit.

Yes. What you’re looking for is AI search / GEO (Generative Engine Optimization) software that works at the URL/page level, not just a brand-mention tracker.

The strongest options I’d shortlist are:

My top 3

1. otterly.ai — probably the closest match

Otterly tracks prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Copilot and others, and its citation data tells you which URLs are actually being cited. Its newer Recommendations functionality is specifically designed to turn those observations into actions. Otterly Otterly

For example, you can get from:

“Competitor X is cited for best enterprise CRM”

to:

“Your /enterprise-crm/ page isn't being cited → here's the content/citation/structure gap → prioritize this page.”

That's much closer to the workflow you're describing than simply monitoring whether your brand appears.

2. getveritas.io — particularly interesting for an SEO/content team

Veritas explicitly says it tracks which of your pages answer engines cite and which competitor pages are being cited for questions you should own, then combines that with GEO/AEO recommendations around entities, structure, schema, citations, etc. Veritas

That makes it attractive if the desired workflow is:

prompt → AI answer → cited URL → competitor URL → gap → recommended fix.

3. sitesonar.ai — worth looking at if you're B2B

SiteSonar is unusually explicit about the page remediation use case: it identifies pages AI engines aren't citing and offers AEO rewrites, FAQ blocks and schema recommendations. It currently focuses on ChatGPT, Perplexity, Claude and Google AI Overviews. SiteSonar

One important distinction

I'd make sure the vendor can answer “which URL was cited?”, rather than merely:

“Was our brand mentioned?”

Those are materially different measurements. Generative-search systems can mention a company while citing a third-party page, or cite one particular page on your site while ignoring dozens of others. Recent research also suggests that being cited and actually having information from the page absorbed into the answer are distinct phenomena. arXiv

So for your use case, I'd want a platform that gives you something like:

Prompt → AI engine → your cited URL → competitor cited URLs → citation frequency/share → page-level gap analysis → specific optimization recommendations → track whether the change increased citations

If you tell me roughly how large your site is (e.g. 500, 10K, 100K+ pages), whether you're B2B/B2C, and which engines matter most (ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, etc.), I can narrow this to the 2–3 tools I'd actually buy and compare their current pricing/features.

Yes. What you’re looking for is usually called AI search visibility / GEO (Generative Engine Optimization) software. The key distinction is whether the platform merely tells you “your brand was mentioned” or actually tells you which URLs/pages were cited and what to change on those pages.

My shortlist

Otterly, for example, explicitly offers page-level crawling/auditing, citation-potential scoring, content briefs and recommendations, in addition to tracking which sites/pages are cited by ChatGPT, Google AI Overviews, Perplexity, Gemini and Copilot. Otterly

HubSpot's AEO product is particularly interesting if your goal is “show me which pages are getting cited, then tell me what content we should create/update.” Its citation analysis identifies the domains and individual pages appearing in AI answers, while its recommendation layer turns those gaps into content actions. HubSpot

One important distinction

If your requirement is specifically:

“For every important AI-search query, show me the exact URL on our site that ChatGPT/Perplexity/Google AI cited, why that page appears to have won, and give me concrete changes to increase its chances of being cited again.”

I'd put Profound, Otterly, and HubSpot AEO at the top of the evaluation list.

There is also a useful first-party option from Microsoft: Bing Webmaster Tools' AI Performance reporting now shows which URLs from your site are referenced in Copilot, Bing AI-generated summaries and partner experiences. Bing Blogs That's valuable because it gives you actual citation data rather than modeled estimates, although it doesn't replace a full GEO optimization platform.

What I'd evaluate in a demo

Don't just ask vendors for their "AI visibility score." Ask them to demonstrate this workflow:

1. Enter 100–500 real customer questions.
2. Run them across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini and Copilot.
3. Show every citation to your domain at the URL level.
4. Show which competitor URL was cited instead when you weren't.
5. Identify why the competitor page appears to be winning.
6. Give recommendations for the specific page—content, structure, entities, schema, internal links, freshness, etc.
7. Let you measure whether those changes subsequently increased citation frequency.
8. Export the data/API it produces so your SEO/content team can incorporate it into its workflow.

That's important because the category is still evolving: many products are fundamentally prompt trackers with dashboards, while the more useful ones are moving toward actual page-level diagnosis and remediation. PickMySoft StayFound

If you tell me roughly your site size (e.g. 500, 10K, 1M pages), whether you're B2B/B2C, and whether you already use Semrush/Ahrefs/HubSpot, I can narrow this to the 2–3 tools I'd actually shortlist and compare their page-level capabilities and pricing.

One important distinction

If your requirement is specifically:

“For every important AI-search query, show me the exact URL on our site that ChatGPT/Perplexity/Google AI cited, why that page appears to have won, and give me concrete changes to increase its chances of being cited again.”

I'd put Profound, Otterly, and HubSpot AEO at the top of the evaluation list.

There is also a useful first-party option from Microsoft: Bing Webmaster Tools' AI Performance reporting now shows which URLs from your site are referenced in Copilot, Bing AI-generated summaries and partner experiences. That's valuable because it gives you actual citation data rather than modeled estimates, although it doesn't replace a full GEO optimization platform.

What I'd evaluate in a demo

Don't just ask vendors for their "AI visibility score." Ask them to demonstrate this workflow:

Yes. What you’re looking for is usually called AI search visibility / GEO (Generative Engine Optimization) software. The key distinction is that some tools merely tell you whether your brand was mentioned, while the better ones show which of your URLs were cited and what to change on those pages.

My shortlist

The one I'd investigate first: Otterly

Otterly.AI is unusually close to the workflow you described. It tracks every cited domain and URL, including changes in citation position, and its current platform includes content audits, crawlability checks, content prediction, and prioritized GEO recommendations. Otterly

So the workflow is essentially:

Your site → buyer prompts → ChatGPT / Google AI / Perplexity / etc. → cited URLs → identify winning/losing pages → page audit → recommended optimization.

That's much more useful than simply seeing a "visibility score."

If you're an enterprise SEO/content team

I'd put Profound at the top of the evaluation list. It is particularly strong if you want to answer questions like:

• Which pages are AI engines citing for our highest-value topics?
• Which competitors' pages are being cited instead?
• Which sources are influencing the AI answer?
• How does our citation share change over time?
• Which prompts/topics have the largest visibility gaps?
• Which content should we improve or create?

Recent comparisons put Profound at the enterprise end of the market, while Otterly and Peec are more accessible for smaller/mid-market teams. PickMySoft StayFound

One important caveat

I'd not buy one of these based solely on "AI visibility score." The valuable capability is URL-level citation intelligence.

You want the software to produce something like:

Prompt: "Best enterprise [category] platforms"
AI engine: ChatGPT
Your cited page: /solutions/enterprise/
Competitor cited page: /enterprise-platform/
Why competitor wins: clearer comparison, stronger third-party references, more specific entity information
Recommended action: update /solutions/enterprise/ with X, Y and Z
Expected opportunity: improve citation probability for these 12 related prompts

That is the level at which GEO becomes actionable rather than another dashboard.

For your specific requirement, I'd demo Otterly and Profound first, and ask both vendors to demonstrate the exact journey from AI answer → cited URL → page diagnosis → optimization recommendation using your own domain. That's a much better test than their canned demo.

If you tell me roughly how many pages your site has, whether you're B2B or B2C, and which AI surfaces matter most (ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Claude, etc.), I can narrow this down to the 2–3 tools I'd actually shortlist.

If you mean “which pages on our domain are being cited or surfaced in ChatGPT, Google AI Overviews, Perplexity, Gemini, Claude, etc., and what should we change to improve visibility?”, you’re looking for a Generative Engine Optimization (GEO) / AI Search Visibility platform. The market is still evolving, but these are the main categories and tools to evaluate. Elmo SitePoint

Best-fit tools for page-level AI visibility + optimization recommendations

What I would look for specifically

Many tools can tell you “your brand appeared 12% of the time”, but fewer answer the operational questions:

1. Which exact URLs are being cited?

• Example: “Your /pricing page appears in Perplexity citations for ‘best enterprise CRM pricing.’”
• This is the most valuable metric for content teams.
• Which competitor pages are winning citations instead?

• Example: “Competitor X’s comparison page is cited 4× more often for this query.”
• What changes should we make?

Useful recommendations include:

• Add missing facts, statistics, or comparisons
• Improve FAQ structure
• Add clearer definitions
• Strengthen internal linking
• Add schema/structured data
• Improve freshness signals
• Create pages targeting unanswered prompts
• Can it connect AI queries → pages → conversions?

Ideally you want:

AI prompt
   ↓
AI answer appearance
   ↓
cited URL
   ↓
organic/session data
   ↓
revenue or lead impact

Practical stack recommendations

Large enterprise

• Profound + existing SEO platform (Ahrefs/Semrush)
• Best when you have thousands of pages and many product categories. KAVIO ToolChase

Mid-market marketing team

• Peec AI or Otterly.ai + your existing SEO/content tools
• Good balance of monitoring and actionability. Outcited ToolChase

Content-led company

• AirOps/Scrunch-style workflow tools plus an SEO crawler
• Useful if you want recommendations turned into briefs and updates. Geo Software Rankings

One caution

AI visibility measurement is not identical to Google rankings. A page can rank well in traditional search but never get cited by an AI answer engine, because citation depends on factors like extractable facts, topical authority, structure, and whether the page matches the AI system’s retrieved sources. arXiv arXiv

If you share:

• your CMS (WordPress, Webflow, Adobe, custom, etc.)
• approximate number of pages
• B2B vs B2C
• which AI surfaces matter most (ChatGPT, Google AI Overviews, Perplexity, Gemini)

…I can narrow this to a short list of tools and an implementation plan.

Yes. What you’re looking for 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 were cited and what you should change.

My shortlist

OtterlyAI is probably the closest match to your description. Its platform explicitly combines AI-search monitoring with a content audit and GEO optimization: it can show which website URLs are cited, identify pages AI is skipping, and produce content briefs/recommendations for improving them. Otterly Otterly

Ahrefs Brand Radar is particularly interesting if your team already has Ahrefs. It tracks AI citations, identifies top cited pages/domains, lets you investigate competitor citations, and can show which pages AI search is sending traffic/bots to. Ahrefs Help Center Ahrefs

What I would evaluate in a demo

Don't just ask, "Do you track ChatGPT?" Ask them to demonstrate this exact workflow:

Take our domain → show me every page of our site that was cited in AI answers → show me the prompts that produced those citations → show me competitor pages cited for prompts where we're absent → tell me specifically what to change on our page.

The last step is important. Research on GEO suggests that being cited and actually influencing the generated answer are different things; pages with clear structure and extractable evidence—definitions, numbers, comparisons, procedures, etc.—tend to have greater citation influence. arXiv

I'd therefore want the software to give you something like:

• Page: /product/comparison
• AI engine: ChatGPT
• Prompt: "Best X software for enterprise teams"
• Current status: Not cited
• Competitor cited: Competitor.com/comparison
• Why competitor wins: comparison table, explicit pricing, implementation details
• Recommended changes: add X/Y/Z sections, strengthen evidence, update schema
• Priority: High
• Recheck: after publication

That is much more useful than a generic "AI visibility score: 42/100."

If you tell me roughly how large your site is, 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 platforms I'd actually shortlist and compare pricing/features.

What I would evaluate in a demo

Don't just ask, "Do you track ChatGPT?" Ask them to demonstrate this exact workflow:

Take our domain → show me every page of our site that was cited in AI answers → show me the prompts that produced those citations → show me competitor pages cited for prompts where we're absent → tell me specifically what to change on our page.

The category you’re looking for is usually called AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), or AI Search Optimization software. These tools attempt to answer two questions:

1. Which of our pages/content are being cited or surfaced by AI engines?

• ChatGPT
• Google AI Overviews / AI Mode
• Perplexity
• Gemini
• Claude
• Bing Copilot
• What should we change to increase the chance of being surfaced?

• Content gaps
• Missing entities/topics
• Schema improvements
• Weak passages
• Internal linking opportunities
• Authority/trust issues

Some leading options:

What I would evaluate before buying

A lot of tools call themselves “AI SEO” but differ significantly. I’d prioritize:

1. Page-level citation mapping

You want a report like:

Prompt: “Best CRM software for mid-market SaaS companies”
AI engine: ChatGPT
Cited pages:

• competitor.com/page-a
• yoursite.com/blog/comparison-guide

Not just:

“Your brand visibility score = 62”

2. Prompt tracking

The tool should let you define your commercial questions:

• “Best [category]”
• “[Your product] alternatives”
• “How to solve [customer problem]”
• “Compare X vs Y”

Then track whether your pages appear.

3. Optimization recommendations tied to URLs

Good recommendations look like:

• Add missing comparison section to /product-page
• Add FAQ schema to /resource-page
• Strengthen author/expertise signals
• Add statistics/citations
• Create supporting content cluster

4. AI crawler visibility

Some platforms monitor whether AI bots are accessing your pages (GPTBot, ClaudeBot, Perplexity crawlers, etc.), which can reveal discoverability issues. Webflow

My shortlist by company size

• Enterprise / large content footprint: Profound, HubSpot AEO, Semrush
• SEO team adding AI search tracking: Semrush, Ahrefs, HubSpot AEO
• Content-heavy B2B site: AirOps, HubSpot AEO
• Smaller team needing a focused GEO tool: Orion, Surface Rank

Also, don’t replace SEO fundamentals with AEO tooling. Google’s own guidance says generative search experiences still rely heavily on core search quality systems, so strong technical SEO, structured content, authority, and crawlability remain foundational. developers.google.com

If you tell me your CMS (WordPress/Webflow/custom), site size (number of pages), and whether you care more about ChatGPT citations vs Google AI Overviews, I can narrow this to the best 2–3 choices.

Yes. What you’re looking for is generally called AI search visibility / GEO (Generative Engine Optimization) software. The key distinction is whether a tool merely tells you “your brand was mentioned” or actually tells you which URLs were cited and what to change on those pages.

My shortlist

A recent comparison of these types of platforms similarly distinguishes monitoring tools from platforms that turn citation gaps into recommended actions. Citation Hawk Humanize AI - Free Humanize AI Text Tool

If your requirement is specifically "which pages of OUR site are being surfaced?"

I'd put Visiby, SiteSonar, and Veritas at the top of the evaluation list.

For example, SiteSonar explicitly says it identifies the pages AI engines cite and provides page-level AEO scoring, including signals such as answer-first content, question-based headings, schema, freshness, entities, and internal links. SiteSonar

Visiby goes a step further by describing weekly briefs that identify the exact page to update, passage to rewrite, and schema to add, while showing which competitor URL was cited instead. Visiby

Veritas positions itself around the complete loop: tracking citations across ChatGPT, Perplexity, Gemini and Google AI Overviews, identifying competitor wins, and producing GEO/AEO recommendations. Veritas

One important caveat

Don't evaluate these tools solely on an overall "AI visibility score." You want to be able to export something roughly like:

Prompt: "Best enterprise accounting software for..."
AI engine: ChatGPT
Our cited URL: /solutions/accounting
Competitor cited: /accounting-software
Citation frequency: 18%
Why competitor wins: clearer comparison, more first-party data, fresher content
Recommended action: add comparison section + supporting statistics + update date
Priority: High

That's much more actionable than knowing your "GEO score" went from 42 → 47.

There's also emerging research suggesting that being cited isn't the whole story: a page can be selected as a citation but contribute little to the final generated answer. Structured, evidence-rich pages appear particularly important, so I'd favor tools that expose page/citation-level evidence rather than just a visibility score. arxiv.org

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

Yes. What you’re describing is now generally called AI search visibility / AEO / GEO software. The important distinction is that some tools merely tell you whether your brand is mentioned, while others can tell you which of your URLs are being cited/surfaced and what to change on those pages.

My shortlist

Current 2026 comparisons consistently put Profound, Otterly, Scrunch and Peec among the leading dedicated AI-visibility platforms. Ayzeo Elmo Omnicite

The one I'd investigate first for your exact requirement

Otterly.ai is particularly close to what you described. Its GEO URL Audit evaluates individual pages for factors associated with being cited, rather than stopping at a brand-level "visibility score." Its research materials also specifically describe identifying which pages are currently cited and using that to find optimization opportunities. Otterly Baarely

Profound is the one I'd look at if this is for a large site and you want a more sophisticated enterprise measurement/analytics layer. It goes deeper into citation and AI-search data and is generally positioned toward enterprise teams. PickMySoft Cognizo

Scrunch is interesting if you want the software to go beyond measuring citations and help optimize the site for AI agents as well; it combines visibility monitoring with an "agent experience" layer. Baarely

One important caveat

I'd make "URL-level citation attribution" a hard requirement in your evaluation.

You don't just want:

"Your brand appears in 34% of relevant ChatGPT answers."

You want something closer to:

Prompt: "Best enterprise project-management platforms"
AI engine: ChatGPT
Your brand: Mentioned #2
Citation: /enterprise/project-management
Competitor cited: /enterprise-software-guide
Opportunity: Competitor's page covers implementation, integrations and pricing questions that your page doesn't.
Recommended changes: Add X, Y and Z.

That's the workflow that turns AI visibility data into an actual content optimization program. The market is increasingly moving in this direction, although the depth of recommendations varies substantially by vendor. TopCited Cognizo

If you tell me roughly how many pages are on your site, 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 products I'd actually demo, including current pricing and exactly what each one can/can't do at the URL level.

Yes. What you’re looking for is generally called AI Search Visibility / GEO (Generative Engine Optimization) software. The key distinction is that some tools merely tell you whether your brand was mentioned, while the better ones tell you which of your URLs were cited, for which prompts, which competitors’ pages were cited instead, and what to change.

My shortlist

1. semrush.com — my first choice

Semrush is probably the closest match to your description.

It can show:

• Which pages on your site are driving AI citations
• Which prompts produce those citations
• Which competitors are appearing instead of you
• Citation and share-of-voice trends
• ChatGPT, Gemini, Google AI Mode/AI Overviews and other AI-search visibility
• Technical issues that may prevent AI crawlers from accessing/citing content
• Prioritized content optimization recommendations

Its AI Search Optimizer specifically analyzes existing content and gives recommendations intended to improve both traditional Google visibility and LLM visibility. Semrush Semrush

semrush.com

2. help.ahrefs.com

This is particularly strong if your question is:

"When AI answers questions in our category, which pages and domains is it actually using as evidence?"

Brand Radar tracks AI visibility across multiple AI platforms and lets you identify top cited pages/domains, competitors, and opportunities to get mentioned. Ahrefs says its database is based on more than 405 million search-backed prompts. Ahrefs Help Center

I'd favor Ahrefs when competitive citation/source research is more important than having an integrated content-optimization workflow.

3. searchprism.io

This one is interesting for exactly the page-level use case you're describing.

Prism says it crawls pages that AI platforms cite and scores them against your pages on things such as:

• direct answers
• schema
• readability
• freshness
• overall AI-readiness

It can then generate content briefs based on gaps—for example, "competitor page X is being cited for this question; here's what your page needs to address." Prism

That makes it worth evaluating if your primary objective is turning AI-search observations into concrete editorial work.

4. hubspot.com

HubSpot's AEO product tracks visibility across ChatGPT, Perplexity and Gemini, compares your citations against competitors, and provides recommendations for what to optimize. HubSpot

It's especially compelling if your marketing/content team already lives in HubSpot.

5. citations.io

A more focused option. It tracks which answers cite you, which pages/sources get cited instead, and what to fix, with a prioritized "Implementation Pack" containing things such as pages to create/update, mentions to earn and schema changes. Citations.io

What I'd choose

If you're evaluating this for a serious website/content program, I'd narrow it to:

Semrush vs. Ahrefs vs. Prism.

• Semrush → best all-around SEO + generative search optimization platform
• Ahrefs → best citation/source/competitive intelligence
• Prism → best page-by-page "why did AI choose that page, and how do we make ours better?" workflow

One important caveat: don't buy a tool solely because it has an "AI Visibility Score." The score itself isn't especially useful. What you really want in the product demo is the ability to go from:

Prompt → AI answer → cited URL → your URL/competitor URL → reason competitor was selected → recommended change → re-test

That's the workflow that can actually turn generative-search visibility into an optimization program.

If you tell me roughly how large your site is (e.g. 500, 10K, 100K+ pages), your CMS, and whether you're B2B/B2C/ecommerce, I can narrow this to the 2–3 products I'd actually shortlist and compare their current pricing/features.

Yes. The category you want is generally called AI Search Visibility / GEO (Generative Engine Optimization) software. The key distinction is that some tools merely tell you whether your brand was mentioned, while the better ones show which of your URLs were cited/surfaced and what to change. pickmysoft.comuxcontinuum.com

My shortlist

Current comparisons consistently put Profound, Peec, Otterly, and Scrunch in the dedicated AI-visibility category, with Semrush and Ahrefs making sense when you want AI visibility alongside conventional SEO. uxcontinuum.com

If your specific requirement is:

"Show me which pages on our site are getting surfaced in ChatGPT/Perplexity/Google AI results, tell me which pages aren't being surfaced, and give my content team recommendations for improving them."

I'd start with Otterly.AI and Peec AI.

Otterly is particularly aligned with your workflow: it explicitly offers citation tracking, page/content auditing, crawlability checks, content briefs, and GEO recommendations. otterly.ai

Peec is compelling if you care more about why competitors are winning citations. Its platform tracks the sources behind AI answers and provides recommendations ranked by expected impact. peec.ai

For a large enterprise site, I'd add Profound to the evaluation because its strength is depth of AI-search/citation analytics rather than simply giving you a visibility score. pickmysoft.com

One important caveat

Don't evaluate these platforms solely on "brand mentions." You want four separate data points:

1. Prompt → AI answer — what questions are your prospects asking?
2. AI answer → cited URL — exactly which page on your site gets surfaced?
3. Competitor URL → cited URL — which pages are competitors getting cited for that you aren't?
4. Citation gap → recommended change — what should you actually modify/create?

That last piece is where many "AI visibility" products fall short: they can measure the problem without necessarily providing a useful path to fix it. uxcontinuum.com

If you tell me roughly how big your site is, whether you're B2B/B2C, and whether you're already using Semrush or Ahrefs, I can narrow this to the 2–3 tools I'd actually put through a trial and give you a feature/pricing comparison.

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.

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.

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?”