ChatGPT answers, unedited

Yes. The category is usually called GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or AI visibility/citation tracking. These tools try to estimate how likely your pages are to be surfaced or cited by answer engines such as ChatGPT, Perplexity, Gemini, and AI Overviews. Tripcite

A few tools worth looking at:

A useful distinction:

• Page "citability" score: "Would an AI likely choose this URL as a source?"

• Looks at things like clear answers, structured content, schema, freshness, factual density, headings, accessibility, and crawlability.
• AI visibility score: "When users ask relevant questions, does the AI mention or cite us?"

• Usually requires running many prompts through AI engines and measuring mentions/citations. Reputably

For an internal SEO/content workflow, I’d usually combine:

1. A page-level auditor (find why a URL is weak).
2. A prompt/citation tracker (see whether AI actually cites you over time).
3. Manual review of pages that competitors are winning—because AI answers vary by prompt, model, and time, so a single score is not a perfect prediction. arxiv.org

If you mean "score every URL on our site and tell us which pages to rewrite first", that’s a slightly different use case; there are tools better suited for that than brand-level AI visibility trackers.

Yes. There’s now a category of tools usually called GEO (Generative Engine Optimization), AI Search Visibility, or AI Citation tools that specifically assess whether pages are likely to be surfaced/cited by answer engines such as ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews.

A few worth looking at:

• aisearchvisibility.ai — page-level audit with a 0–10 AI Readiness/Citeability score, covering things like indexability, content structure, trust, schema, and citation safety. AISearchVisibility
• aicite.app — particularly focused on actual citations. It generates queries from your content and checks whether ChatGPT/Claude cite you, then suggests specific textual fixes. AICite
• citeme.io — broader multi-engine auditing, including ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews. It reports actual citations and scores technical/content dimensions. Citeme
• usesynthic.com — interesting because it emphasizes actual citation evidence rather than an AI-estimated score. It checks multiple engines and gives a deterministic visibility score based on appearances. Synthic
• searchscore.io — more of a large-scale benchmarking/visibility platform, with 250+ signals and a 0–100 GEO score. SearchScore

One important distinction

I'd separate these into two kinds of "scores":

1. Predictive/page-quality score

"Given the HTML, content, schema, authority signals, etc., how citation-ready is this page?"

That's what tools like AI Search Visibility and Broxly are largely doing. Useful for diagnosing pages, but the score is ultimately a model/heuristic.

2. Observed citation/visibility score

"When we actually ask AI engines relevant questions, how often do they cite this URL?"

I think this is the more meaningful metric. Synthic, Citeme, AICite and similar tools actually run queries and observe citations. Citeme Synthic

And there's a broader caveat: there isn't currently a universally accepted "AI citation score." Research on GEO is still finding substantial variation across engines and runs, so a score should be treated as a directional benchmark rather than an objective probability that "this page has a 73% chance of being cited." arXiv

If you're asking because you want to evaluate your own pages, I can also compare the current tools specifically on page-level scoring, actual citation testing, API access, bulk crawling, and whether they can score thousands of pages.

Yes. The category is usually called AI visibility / AEO (Answer Engine Optimization) / GEO (Generative Engine Optimization), and there are now tools that measure something very close to what you're describing.

Best matches

• ahrefs.com — probably the closest fit. It tracks ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews, and reports which specific pages/domains get cited. Its paid Brand Radar product can distinguish between pages that were actually cited and pages that were retrieved but not cited. Ahrefs Ahrefs Help Center
• semrush.com — gives an AI Visibility Score (0–100) plus mentions, citations, cited pages, competitors, and the topics/prompts producing visibility. It also has an AI Search Site Audit for technical readiness. Semrush Semrush
• semrush.com — useful for a quick test. Enter a domain and it shows an AI Visibility Score, citations, and top cited pages. Semrush

But there's an important distinction

If what you mean is:

"Give me this URL and tell me how likely this individual page is to be cited by ChatGPT/Perplexity/Gemini."

That's a somewhat different—and more interesting—product.

Most current tools primarily measure observed AI visibility: they run lots of prompts and see whether your site/page actually gets mentioned or cited. Ahrefs explicitly separates "cited" from "found but not cited", which gets quite close to measuring source-selection propensity. Ahrefs Help Center

They generally don't produce a true page-level predictive score like "this page has an 83% probability of being cited." Instead, you infer that likelihood from things such as:

• how often the page is retrieved by AI systems
• how often it is actually cited
• citation rate by topic/query
• authority of the page/domain
• topical relevance
• freshness
• structured/content signals
• whether competing pages are cited instead

So if you're thinking about building a tool that scores every page on a site for "AI source-worthiness," there is still a pretty interesting gap in the market.

A useful score could be something like:

AI Citation Potential = f(retrieval rate × citation rate × topical relevance × authority × freshness × answer completeness)

And importantly, you could score the page, rather than just the brand—which is where many of the existing products are still less granular.

If that's what you're considering, I can also map out what data you'd need to build a credible page-level "AI citation score," including how I'd calculate the score and which existing tools/APIs could supply the data.

Yes. What you’re describing is usually called AI search visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization).

There are now tools that go beyond “does AI mention my brand?” and specifically look at which URLs AI engines actually cite and, increasingly, whether individual pages are likely to be citation-worthy.

Tools worth looking at

• otterly.ai — probably the closest match. It tracks citations across ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude. Its Content Audit includes crawlability checks, content audits and a predictive citation score for pages. Otterly Otterly
• searchscore.io — has a 0–100 GEO score based on 250+ signals across eight categories, and is specifically designed around whether sites are discoverable, extractable and trusted by AI systems. SearchScore SearchScore
• sourcewatch.ai — useful for a quick URL/domain-level check. It looks at whether AI systems can read, recognize and recommend/cite a page and provides fixes. SourceWatch
• no7software.co.uk — a free 0–100 audit with checks for things like AI crawler access, structured data, sitemap and other AI-readiness signals. No7 Software

One important distinction

I'd separate “AI visibility” from “likelihood this particular page will become a source.”

Most tools are strongest at measuring:

We asked 500 relevant questions, and your site/page was cited X% of the time.

That's an observed citation rate.

What you're asking sounds more like:

Given the characteristics of this page, how likely is an AI answer engine to select it as a source?

That's a predictive citation score. Otterly is explicitly moving in this direction, while the broader research suggests that factors such as structure, semantic alignment, extractable evidence, definitions, numbers, comparisons and procedural information can influence citation/“absorption.” arXiv

So if you're evaluating this for your own site, I wouldn't settle for a generic “AI SEO score.” I'd want a tool that gives you, for every URL:

If you're asking because you're considering building/buying something like this, there's actually an interesting gap here: most current platforms emphasize monitoring what AI already cited, whereas a genuinely useful product would score every page in a content inventory for predicted citation potential, then explain why and what to change.

If you tell me what kind of pages you have (e.g. SaaS docs, ecommerce, publisher/editorial, local business, B2B), I can also compare the current tools specifically for that use case.

Yes. There are now tools that attempt to score AI visibility, answer engine optimization (AEO), or generative engine optimization (GEO) — essentially estimating how likely your pages are to be retrieved, quoted, or cited by AI answer engines like ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Visible Pilot Blog Semrush

A few categories:

1. Page-level "citation readiness" graders

These analyze a specific URL and score signals that make a page easier for AI systems to use:

• Content structure (clear answers, headings, FAQs)
• Entity clarity (who/what the page is about)
• Structured data/schema
• Crawlability
• Extractable facts and evidence
• Freshness and authority signals

Examples:

• broxlyai.com — scores pages on AI-readiness factors like entity coverage, FAQ readiness, structured data, and citation potential. Broxly AI
• sourcewatch.ai — provides page-level AI visibility checks and distinguishes between being mentioned and being cited. SourceWatch

2. Live AI citation trackers

These are closer to measuring the outcome you care about: "Does an AI answer engine actually cite us?"

They typically:

• Run a set of buyer/customer prompts
• Query AI engines
• Record whether your brand appears
• Track which URLs are cited
• Compare against competitors

Examples:

• semrush.com — tracks AI mentions and visibility across AI search experiences. Semrush
• pagelens.ai — monitors how brands appear in ChatGPT, Claude, Gemini, and Perplexity answers and tracks cited sources. PageLens

3. GEO/AEO research tools

These focus more on optimization opportunities:

• "Which pages should we improve?"
• "Which competitor pages are being cited?"
• "What questions should we answer?"

Examples:

• linkafella.com — measures AI citations and competitor visibility through a GEO score framework. Linkafella
• answervisibilitylab.com — focuses on repeatable AI visibility checks and citation opportunities. Answer Visibility Lab

Important caveat

No tool can give a true "probability that ChatGPT will cite this page" because AI retrieval is dynamic and depends on:

• The user's exact prompt
• Which retrieval system is active
• Competitor content
• Authority signals outside your site
• Freshness and index timing

The most useful score is usually a combination of:

Page readiness score → "Is this page easy for AI to understand and quote?"
+
Observed citation tracking → "Do AI systems actually cite it for real queries?" Who Can Find Me

If you are evaluating your own site, I would generally avoid a single 0–100 score as the main KPI. A better dashboard is:

• % of target prompts where you appear
• # of citations by URL
• citation share vs competitors
• pages that are cited most often
• pages that should be cited but are not

If you want, I can also give you a tool comparison matrix (Ahrefs/Semrush-style vs GEO-native tools) or a checklist for building an internal AI citation score for your pages.

Yes. This is now a real category usually called GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or AI-search visibility.

If your specific question is “Can I paste in a URL and get a score for how likely that page is to be cited by ChatGPT/Perplexity/Google AI?”, there are several tools:

• aisearchvisibility.ai — probably the closest match to what you're describing. It audits an individual URL and gives an AI Readiness / Citeability score, with checks around crawlability, content, trust, schema, and whether the page contains extractable answers.
• trycontext.dev — paste a URL and get a GEO score specifically oriented around citation potential across ChatGPT, Perplexity, Google AI Overviews, and Copilot.
• citationdesk.com — gives a 0–100 “Citation Readiness Score” for individual pages, covering SEO foundation, GEO readiness, entity coherence, and bot accessibility.
• broxlyai.com — scores pages across five AI engines and ten dimensions, including things like query coverage, comparison readiness, FAQ readiness, and entity coverage.
• semrush.com — more focused on actual AI visibility: mentions, citations, which pages are generating citations, and the prompts/topics where you're appearing.

The important distinction

There are actually two different products hiding under “AI visibility score.”

1. Citation-readiness score

“If an AI engine encounters this page, how good a source is it likely to be?”

This evaluates the page itself—structure, answerability, citations, schema, E-E-A-T, crawlability, extractability, etc.

2. Actual AI citation/visibility tracking

“When people ask relevant questions, does the AI actually cite this page?”

This runs queries against AI engines and records the sources they actually return.

The second is considerably more useful for measuring outcomes. For example, PageLens says it identifies the exact sources behind AI answers, while Semrush tracks which pages on your site are driving AI citations. PageLens Semrush

If you're evaluating this for your own pages

I'd use a combination:

Page-level audit → actual citation tracking → competitor/source analysis.

The audit score tells you what to fix. Actual citation tracking tells you whether the fixes worked.

And I'd be skeptical of treating any proprietary “AI citation score” as a literal probability that ChatGPT will cite a page. Some tools explicitly acknowledge that their score is a structural readiness estimate rather than a prediction of actual citations. Jason Burns

If you tell me what kind of site/pages you have (e.g. SaaS, publisher, ecommerce, B2B services), I can also compare the best 5–10 tools and tell you which one I'd actually use.

Yes. The category is usually called GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or AI visibility/citation readiness. These tools attempt to estimate how likely a page is to be retrieved, understood, and cited by AI answer engines like ChatGPT, Claude, Gemini, and Perplexity. RankedContent CitationDesk

A few tools worth looking at:

A few caveats:

• No tool can truly know “this page will be cited by ChatGPT” because AI engines do not expose their complete retrieval and ranking systems.
• The strongest tools distinguish between: 1. Citation readiness (does the page have the signals AI systems tend to prefer?)
• Actual citations (does an AI engine really cite it for real prompts?) Helindex Ploy
• A good audit should check things like: - Clear answers near the top of pages
• Strong entity signals (who wrote it, what organization/product/topic it represents)
• Structured data/schema
• Crawl accessibility
• Original data, statistics, comparisons, or expert insight
• Content that can be cleanly extracted into an answer Agent Speed CiteRank

If you’re evaluating a large site (hundreds/thousands of pages), I’d look more at tools that crawl and prioritize pages rather than one-off URL graders. If you’re trying to improve a handful of money pages, the single-page scorers are probably enough.

Yes. There are now several tools specifically aimed at measuring GEO / AI-search visibility—including how likely your pages are to be retrieved and actually cited by ChatGPT, Perplexity, Google AI Overviews, Claude, etc.

A useful distinction, though:

• “Will AI cite this page?” scoring → audits the page itself and estimates citeability.
• “Is AI actually citing us?” tracking → runs real prompts and records which URLs/brands AI engines cite.
• The second is generally more meaningful because AI citation behavior is query-dependent and there isn't a single universal “AI ranking score.” Ahrefs, for example, distinguishes between pages that AI finds and pages it actually cites. Ahrefs Help Center

Tools I'd look at

• aisearchvisibility.ai — probably closest to exactly what you're describing. You paste a URL and get an AI Readiness / Citeability score from 0–10, with checks around crawlability, content structure, trust, schema, and whether the content is easy for AI to quote. It explicitly targets ChatGPT, Google AI Overviews, Perplexity, Claude and Copilot. AI Search Visibility
• geosource.ai — particularly interesting if you want a research-grounded page score. It gives scores for things like answerability, citation quality, definitions, readability and AI accessibility, and also checks whether AI actually cites the content. GEOSource
• trycontext.dev — free URL-level checker that produces a GEO score for ChatGPT, Perplexity, Google AI Overviews and Copilot, with the individual factors behind the score. Context.dev
• ahrefs.com — better if you're interested in actual observed AI visibility at scale, rather than just an on-page score. Ahrefs is tracking hundreds of millions of prompts and distinguishes citations from pages merely retrieved by AI. Ahrefs Ahrefs Help Center
• geotoolbox.ai — runs prompts across multiple AI engines and reports which URLs were cited, mentioned, or omitted, including competitor comparisons. GEO Toolbox

If you're evaluating this for your own pages

I'd not put too much weight on a proprietary “AI score” by itself. The more interesting metric is:

Given the queries our potential customers actually ask, how often does our specific page get selected as a source—and which competing page gets selected instead?

That's much closer to the actual business outcome.

There's also good evidence for why. Ahrefs' analysis of 1.4M ChatGPT prompts found that ChatGPT retrieves substantially more URLs than it ultimately cites, and that semantic relevance of the page title to the underlying query is an important factor in which pages make it through that selection process. Ahrefs

If you tell me what kind of pages you have (e.g. SaaS product pages, documentation, blog posts, comparison pages), I can recommend the 2–3 tools I'd actually test, including which ones can score individual URLs vs. entire domains and which have APIs/bulk auditing.

Yes. There are now several tools designed specifically to score AI answer engine citation readiness (often called GEO — Generative Engine Optimization, AEO — Answer Engine Optimization, or AI visibility). They generally do not guarantee that ChatGPT, Gemini, Claude, or Perplexity will cite a page, but they score the factors that tend to influence whether a page is easy for AI systems to retrieve, understand, trust, and quote. GetSlurp Frase

A few worth looking at:

A useful distinction:

• “Will AI cite my page?” tools → usually require a target query and evaluate citation likelihood (e.g., “best CRM for startups”). Corey Fox
• “Is my site AI-readable?” tools → evaluate whether agents can crawl and parse your content. Sona
• “Are we actually appearing in AI answers?” tools → monitor real prompts and citations over time. Prefer

For a marketing/content team, I’d usually combine:

1. A page scorer for priority pages (product pages, guides, comparison pages).
2. A real citation tracker to see whether AI engines actually mention you.
3. Manual review of pages that compete for important prompts.

The biggest scoring themes across these tools tend to be:

• A clear answer near the top of the page
• Strong entity signals (“who wrote this,” “what organization is this,” “what product/topic is being discussed”)
• Original data, statistics, examples, or methodology
• Structured headings, tables, FAQs, and schema markup
• Crawlable HTML (not content hidden behind heavy JavaScript)
• Freshness and evidence of expertise CitedSpy Sona

If you have a specific site type (SaaS, ecommerce, publisher, local business, docs/help center), the best tool choice changes quite a bit.

Yes. There’s now a fairly mature category of tools for this, usually called GEO (Generative Engine Optimization), AEO, or AI Search Visibility.

The important distinction is between:

• “How likely is this page to be cited?” — page-level scoring/auditing.
• “Are AI engines actually citing us?” — empirical tracking across real prompts.
• “Why are competitors being cited instead?” — citation/source-gap analysis.

Tools worth looking at

• frase.io — probably the easiest starting point. It scores an individual page for readiness to be cited by ChatGPT, Perplexity and Claude, and gives recommendations. Frase
• aeocrawler.com — specifically built around citability. It gives a 0–100 score across nine dimensions, then lets you test real queries against ChatGPT and Perplexity to see whether your URL actually gets cited. AEO Crawler
• geo.id8s.ai — combines technical checks, content quality and AI-presence/citation signals into an overall AI Search Visibility Score, with prioritized fixes and competitor benchmarking. ID8S GEO IQ
• geotoolbox.ai — particularly interesting if you want a Citability + AI Readability assessment based on things like schema, crawler access, freshness and answer-first formatting. GEO Toolbox
• surfacerank.com — more of a full platform: it combines page citability scoring with actual AI citations, prompt-level visibility, competitor share of voice and AI-referred traffic. Surface Rank

One caveat

I wouldn't treat a single “AI citation score = 83/100” as equivalent to a Google ranking score. AI citation behavior is probabilistic and varies substantially by engine and query. Some newer tools are therefore measuring actual citation rates, rather than pretending there's a universal ranking algorithm. For example, Orem runs repeated samples and reports confidence intervals around citation/mention rates. Orem

If your goal is “we have 500–10,000 pages; tell us which pages are most/least likely to become sources in ChatGPT, Perplexity, Gemini, etc., and what to fix”, that's a more specific requirement. I can compare the tools specifically for bulk page scoring, APIs, crawl limits, actual citation data, and pricing and tell you which one I'd pick.

Yes. This has become a category usually called GEO (Generative Engine Optimization), AI visibility, or AI citation-readiness.

There are actually two different kinds of tools:

• Page-level “citeability” scorers — analyze a specific URL and estimate how well an AI engine could crawl, understand, extract, and cite it.

• aisearchvisibility.ai gives a 0–10 AI Readiness score and checks 120+ signals across things like indexability, intent/value, trust, schema, and AI citeability. AI Search Visibility
• broxlyai.com gives a free page-level visibility score across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews.
• crawlpod.com focuses particularly on whether AI crawlers can actually read and parse your pages.
• Actual AI visibility/citation trackers — rather than predicting whether a page should be cited, they run lots of prompts against AI engines and measure whether you/your URLs actually get mentioned or cited.

• ahrefs.com uses hundreds of millions of prompts across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode.
• geoscore.app tracks mentions, citations, share of voice and sentiment across answer engines.
• seoanalyser.ai combines an overall score with platform-specific citation data and identifies which prompts you're winning/losing.

The important distinction

If what you mean is:

“Give me a score for this individual page that predicts how likely ChatGPT/Perplexity/Gemini/etc. are to use this page as a source.”

Then yes, there are tools specifically attempting to do that, and I'd look at the page-level audit category first.

But I'd be cautious about treating a single “AI citation score” as authoritative. There isn't a publicly documented universal ranking formula used by the answer engines. A useful system should separate:

Technical accessibility → content extractability → topical relevance → authority/trust → citation readiness → actual observed citations.

For example, a page could score 90/100 on structural readiness but still never be cited because competing sources have much stronger authority.

If you're evaluating this for your own product/site, I can also give you a rundown of the best 5–10 tools available right now, what each actually measures, and which one I'd use to score an entire site page-by-page.

Yes. This category is generally called GEO (Generative Engine Optimization) or AI search / answer-engine optimization, and there are now tools specifically designed to score how citable individual pages are.

A few worth looking at:

• geosource.ai — probably closest to what you're describing. It accepts an individual URL and produces a GEO Score plus a Citation Readiness Score, with dimensions like answerability, citation quality, definitions, readability, and AI accessibility. GeoSource.ai
• frase.io — page-level scoring specifically for readiness to be cited by ChatGPT, Perplexity, and Claude. Frase
• ahoylighthouse.com — scores pages for AI citability and also tracks actual citations across 10+ AI assistants, including ChatGPT, Claude, Gemini, and Perplexity. Lighthouse
• citationdesk.com — gives a 0–100 Citation Readiness Score for a specific page based on SEO foundation, GEO readiness, entity coherence, bot crawl health, etc. CitationDesk
• signalor.ai — combines page/site scoring with actual citation tracking and shows which pages AI cites versus skips. SignalorAI

The important distinction

I'd separate "is this page likely to be cited?" from "is our brand actually being cited?"

The first is a page-quality/readiness prediction:

URL → 0–100 citation-readiness score → weaknesses → recommended fixes

The second is empirical:

Run 100 relevant buyer questions through ChatGPT/Perplexity/Gemini/etc. → see which sources they actually cite → measure your citation rate.

The latter is arguably the more meaningful KPI. Tools such as PageLens and GEOScore, for example, track the actual URLs used as sources in AI answers, rather than just evaluating the page itself. PageLens GeoScore

If you're asking because you're considering building this internally, there's actually a pretty interesting product gap: a crawler that scores every page in a site for "AI citation probability," then validates that prediction against observed citations from real answer-engine queries. That would be substantially more useful than a generic "GEO score."

Yes. There are now tools specifically aimed at AI search / answer-engine visibility, but they fall into two slightly different categories:

If you want to score individual pages

• aisearchvisibility.ai — probably closest to what you're describing. You give it a URL and it produces an AI Readiness / Citeability score, with checks for indexability, content structure, E-E-A-T, schema, and whether the page gives AI systems clean material to cite. It scores individual URLs on a 0–10 scale. AI Search Visibility AI Search Visibility
• indexably.io — explicitly scores individual pages based on signals associated with pages that AI platforms actually cite, and lets you compare pages and competitors. Indexably
• broxlyai.com — gives a page-level AI visibility score and evaluates things such as query coverage, comparison readiness, FAQ readiness, and entity coverage. Broxly AI

If you want to measure whether you're actually being cited

• ahrefs.com is stronger for this. Rather than predicting whether a page could be cited, it tracks actual mentions and citations across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, etc., including which specific pages are being cited. Ahrefs Ahrefs Help Center
• seo.bike actually runs prompts through ChatGPT and Perplexity and checks whether your domain appears in their cited sources. Seo Bike

The important distinction

I'd separate the problem into:

1. "How citeable is this page?"
→ Analyze the page itself and give it a score.

2. "Does AI actually cite this page?"
→ Run relevant queries through answer engines and observe the citations.

The second is ultimately the more meaningful KPI. A page can have excellent schema, structure, and "AI readiness" but still never get cited because competitors have stronger authority/relevance.

If you're evaluating this for your own product/content workflow, I can also lay out what I think a genuinely useful "AI Citation Score" should measure, including the signals I'd use to score every page from 0–100.

Yes. This is usually called GEO (Generative Engine Optimization) or AI search visibility/citation readiness.

A few tools currently do roughly what you're describing:

• aisearchvisibility.ai — probably the closest match if you want to enter a page URL and get a citation-readiness score. It scores indexability, intent/value, E-E-A-T, schema, AI citeability, and other factors, with a 0–10 overall score and prioritized fixes. AI Search Visibility AI Search Visibility
• geosource.ai — gives a page-level score and, importantly, also checks whether AI systems such as ChatGPT, Perplexity and Claude actually cite the content. GeoSource.ai
• citera.dev — scores pages on things like answer directness, authority, structured data, semantic coverage and freshness, and monitors how different AI engines understand/cite them. Citera
• pagelens.ai — more oriented toward actual AI visibility: it runs prompts against AI engines, shows which sources are being cited, and compares your site against competitors. PageLens PageLens
• geocara.com — broader AI visibility platform covering mentions, citations and recommendations across numerous answer engines. GEOCARA

One important distinction

There are really two different products hiding under "score my page":

1. Citation-readiness score

"Given the page itself, how well structured/trustworthy/extractable is it for an AI to cite?"

Tools like AI Search Visibility and Citera do this. It's useful for auditing hundreds or thousands of pages before making changes.

2. Actual citation probability / observed citation rate

"When people ask relevant questions, does ChatGPT/Perplexity/Gemini actually retrieve and cite this page?"

That's a stronger measurement. PageLens and GEOSource are closer to this because they test actual AI answers/citations. Recent research also suggests that merely being cited isn't enough: you want to measure whether the cited page's information is actually absorbed into the answer. arXiv

So if you're thinking about this from a content/SEO team's perspective, I'd ideally want a tool that gives you something like:

AI Citation Score: 78/100
Estimated citation likelihood: High
ChatGPT: 82
Perplexity: 76
Google AI Overviews: 71
Claude: 84

Why: strong answer-first structure, authoritative references, clear entities
Blocking issues: weak first-party evidence, missing comparison table, stale statistics

Competitor cited instead: example.com/competitor-page
Recommended changes: X, Y, Z

And then, crucially, validate the score against observed citations rather than pretending there's a universal "AI ranking score." The underlying systems differ substantially, so no third-party score can literally know the probability that an AI engine will cite a page in every future answer. AgentSpeed arXiv

If you're asking because you want to evaluate/build one for your own site, I can also lay out what I'd measure to create a genuinely useful "AI source likelihood" score, including the signals I'd use and how I'd validate the score against ChatGPT/Perplexity/Google citations.

Yes. The category you’re looking for is usually called GEO (Generative Engine Optimization) or AI search / AI visibility tooling.

A few tools specifically address the question “How likely is this page to be cited by ChatGPT, Perplexity, Gemini, etc.?”

• ahoylighthouse.com — probably the closest match to your description. It gives page-level “AI citability” scores, identifies what to fix on each page, and tracks actual citations across 10+ AI assistants. Lighthouse
• citationdesk.com — offers a free 0–100 Citation Readiness Score for individual URLs, based on SEO foundation, GEO readiness, entity coherence, crawlability, etc. It can also score an entire sitemap. CitationDesk
• broxlyai.com — gives a page-level AI visibility score and analyzes dimensions such as query coverage, comparison readiness, FAQ readiness, and entity coverage. Broxly AI
• cite.watch — more focused on actual observed citations than theoretical page quality: it runs real prompts, records which pages get cited, and tracks citation rate, share of voice, and position. Cite Watch
• citedspy.com — useful for running the same query across multiple AI engines and seeing exactly which URLs they cite. CitedSpy

The important distinction

I'd separate these into two different measurements:

1. “Is this page structurally likely to be cited?”
→ CitationDesk, Lighthouse, Broxly

2. “Does AI actually cite this page when answering relevant questions?”
→ CiteWatch, CitedSpy and the broader AI-visibility platforms

The second is ultimately more meaningful. A page can score 90/100 on a GEO checklist but still never get retrieved for the queries that matter.

There's also emerging research supporting this distinction: recent GEO research separates citation selection from citation absorption—i.e., whether an AI merely cites a page versus actually uses its information in constructing the answer. arXiv

If what you're considering is building this capability into your own SEO/content product, that's particularly interesting. The strongest product would probably combine:

Page-level “citatability” score + actual citation rate + competitor citation gap + specific recommendations

rather than just another generic “AI visibility score.”

If you tell me what you're trying to evaluate (e.g. your whole site, individual content pages, or pages across a portfolio of clients), I can recommend the best existing tool—or map out what the scoring methodology would need to look like.

Yes. There’s now a small but growing category of tools for exactly this—usually called AI visibility, GEO (Generative Engine Optimization), or AI citation readiness.

The important distinction is between two kinds of tools:

• Page-level scoring: “How citeable is this particular URL?”
• Actual citation tracking: “When people ask relevant questions, do ChatGPT/Perplexity/Gemini/etc. actually cite this page or our domain?”

Tools worth looking at

• frase.io — Probably the closest match to your question. You paste a page URL and it scores how ready that page is to be cited by ChatGPT, Perplexity and Claude, with recommendations. It also has a separate AI Visibility Checker for actual citations. Frase Frase
• aisearchvisibility.ai — Specifically scores individual URLs on “AI citeability,” indexability, intent/value, trust, schema, etc. It gives a 0–10 AI Readiness score and explains what to fix. AISearchVisibility AISearchVisibility
• geotoolbox.ai — More focused on real-world AI answers: runs prompts through eight AI engines and reports which sources were cited, mentioned, or ignored. It also has page-level “Citability” and “AI Readability” analysis. GEO Toolbox GEO Toolbox
• searchscore.io — Combines a 250+ signal AI-search audit with actual citation/visibility tracking across ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek. SearchScore
• geo.id8s.ai — Gives a page-level AI Search Visibility Score and separately measures actual AI presence/citations. ID8S GEO IQ

One caveat I'd pay attention to

A score like “82/100 likely to be cited” isn't the same thing as evidence that AI engines will actually cite the page.

The strongest setup is therefore:

Page-level citation-readiness score + actual citation tracking + competitor comparison

For example, you might discover:

Page A: 91/100 citeability
Page B: 68/100 citeability

But in 100 relevant ChatGPT/Perplexity queries, Page A is cited 2% of the time and Page B 14%.

That's much more actionable than a generic GEO score.

There is also emerging research supporting this distinction: a 2026 controlled study found that topical relevance and retrieval/list position were major drivers of which source gets cited, while completeness and trust signals had smaller effects. arxiv.org

If you're evaluating this for your own site's content, I can also give you a shortlist of the 3–5 best tools specifically for scoring hundreds/thousands of URLs, including which ones have APIs, bulk crawling, competitor benchmarking, and actual ChatGPT/Perplexity citation data.

Yes. There’s now a small but growing category of AI visibility / GEO / AEO tools that try to answer exactly that: “If an AI answer engine needs a source for this question, how likely is it to choose our page?”

The important distinction is between measuring whether AI actually cites you and predicting whether a particular page is citeable.

Tools worth looking at

• aisearchvisibility.ai — probably the closest match to your wording. You give it a URL and it produces an AI Readiness / Citeability score from 0–10, based on things like indexability, intent/value, trust, schema, and how easily the content can be quoted and attributed. AI Search Visibility AI Search Visibility
• otterly.ai — more of a full AI-search monitoring platform. It can audit individual content, provide a predictive score, and—more importantly—track which actual URLs ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, etc. cite. Otterly Otterly
• aeranko.com — particularly interesting if you want a page-level diagnostic. It shows examples such as a URL receiving a score, which engines cite it, and the specific page/content gap to address. Aeranko
• searchscore.io — focuses on whether AI can find, extract, and trust your content, which is essentially the underlying mechanism behind citation likelihood. SearchScore

One caveat

I'd be careful treating any “AI citation score” as an objective probability.

There isn't a known universal formula like:

“This page has an 83% probability of being cited by ChatGPT.”

The actual answer engines make source-selection decisions dynamically, and different prompts, locations, retrieval systems, freshness, competitors, and personalization can change the sources. Tools like Otterly therefore have an advantage when they combine a page-level prediction with observed citation data. Otterly Otterly

If you're evaluating this for your own content team, I'd actually structure the measurement as:

Page Citeability Score → Actual Citation Rate → Citation Quality → Competitor Gap → Recommended Changes

That gives you something much more actionable than a generic “GEO score.”

If you tell me roughly what kind of site you have (SaaS, publisher, ecommerce, professional services, etc.), I can also compare the best 3–5 tools specifically for scoring your pages, including pricing and whether they can crawl an entire site rather than auditing URLs one at a time.

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

There are actually two different types of tools, and the distinction matters:

1. Tools that score an individual page for “citation readiness”

These are closest to what you described: “If an AI answer engine encounters this URL, how likely is it to use/cite it?”

• aisearchvisibility.ai — audits an individual URL and gives an AI Readiness / Citeability score, with checks around crawlability, content quality, trust, schema, extractability, and risk. It explicitly targets ChatGPT, Google AI Overviews, and Perplexity. AI Search Visibility AI Search Visibility
• aigradetool.com — lets you paste a URL or text and gives a 0–100 citation-readiness score, including the passages it considers most quotable. AI Grade Tool
• context.dev — scores individual pages against factors associated with being cited by ChatGPT, Perplexity, Google AI Overviews and Copilot. Context

2. Tools that measure whether AI engines actually cite you

These are more empirical. Instead of predicting “this page looks citeable,” they run lots of queries through AI engines and measure which sources actually appear.

• ahrefs.com — tracks mentions/citations across ChatGPT, Gemini, Copilot, Perplexity, Google AI Overviews and AI Mode, using hundreds of millions of prompts. Ahrefs
• Profound, Otterly.AI, and Peec AI are among the better-known dedicated GEO platforms for monitoring AI citations and share of voice. Kitbase Tripcite
• yogoo.ai offers a free visibility score and shows which brands AI engines cite instead of you. Yogoo

The important distinction

If you're evaluating your own content pages, I'd actually want both measurements:

Citation Readiness Score → “Does this page have the characteristics AI engines want in a source?”
Observed Citation Rate → “When AI answers relevant questions, does this page actually get selected as a source?”

The second is ultimately the stronger KPI. A page can score beautifully on an audit and still rarely get cited because competitors have stronger authority, better source coverage, more specific information, etc.

If you're asking because you want to build something like this for your own site/team, there's an interesting opportunity here: a useful product wouldn't just give pages a generic 0–100 “GEO score.” It could estimate citation probability at the individual URL × query × engine level, e.g.:

/pricing — 78% citation readiness
Likely cited for: “How much does X cost?”
ChatGPT: 64%
Perplexity: 81%
Google AI: 72%
Biggest weakness: competitors provide more directly extractable pricing information.

That would be considerably more actionable than most of the current “AI visibility score” products.

Yes. This category is usually called GEO (Generative Engine Optimization) or AI search visibility.

There are actually two different kinds of tools, and the distinction matters:

• Page-level “citation readiness” graders — analyze a specific URL and estimate how usable/citable it is for AI answer engines.

• frase.io — scores individual pages for readiness to be cited by ChatGPT, Perplexity, and Claude.
• aisearchvisibility.ai — gives a 0–10 AI Citeability/Readiness score with checks for structure, trust, schema, crawlability, etc.
• citedspy.com — URL-level A–F/0–100 grading with specific criteria and fixes.
• geocara.com — analyzes representative pages and produces a GEO Authority Score.
• Live AI visibility/citation trackers — actually query AI engines with prompts and see whether your pages are cited versus competitors' pages.

• edenrank.com — runs prompts across eight AI engines and reports mentions, citations, and a 0–100 visibility score.
• geoscore.app — tracks which URLs ChatGPT, Gemini, and Perplexity actually cite.
• geotoolbox.ai — compares citation results across multiple engines and identifies pages competitors get cited from instead.
• yogoo.ai — measures how often AI engines cite you versus competitors.

If your question is specifically “will this page be cited?”

I'd start with Frase or AI Search Visibility. They're closer to an SEO-style page grader: give it a URL → get a score → see what to fix.

But there's an important caveat: no static audit can genuinely predict citation probability with high confidence. Actual citation behavior depends heavily on the query, competing sources, retrieval, and the particular AI engine. Recent research, for example, found topical relevance and retrieval position to be major factors in which source gets cited. arXiv

So the strongest setup is:

Page audit → make changes → run real prompts against AI engines → measure actual citations.

If you're considering building this as a product/tool for your own pages, I can also break down what signals a good “AI citation score” should actually measure and how I'd design the scoring model.

Yes. The category is usually called GEO (Generative Engine Optimization) or AI search visibility tools. They try to estimate whether a page is likely to be selected, quoted, or cited by AI answer engines such as ChatGPT, Perplexity, Gemini, and AI Overviews. SearchScore

A few options:

• aisearchvisibility.ai — audits individual URLs and gives an “AI Readiness” score with checks around crawlability, trust, schema, structure, and citation likelihood. Good for page-level optimization. aisearchvisibility.ai
• searchscore.io — gives an AI visibility score and breakdowns such as AI citability, brand authority, EEAT content, and technical factors. SearchScore
• semrush.com — more focused on tracking whether brands/pages appear in AI-generated answers and which pages drive citations. Semrush
• fulcru.app — tracks prompts, competitors, mentions, and citations across AI engines rather than just scoring a page. Fulcru

A key distinction: there are two different problems these tools measure:

1. “Is this page AI-citable?”

• Content structure
• Clear definitions
• Author/expertise signals
• Schema markup
• Factual support
• Extractable answers

Tools like AI Search Visibility and SearchScore focus more here. aisearchvisibility.ai SearchScore

2. “Does AI actually cite us when users ask questions?”

• Run real prompts
• Measure mentions/citations
• Compare competitors
• Track changes over time

Tools like Fulcru and Semrush focus more here. Fulcru Semrush

If your goal is auditing a large content library (hundreds/thousands of URLs), I’d look for a crawler/API-based tool rather than one that scores pages manually. If your goal is optimizing a handful of important landing pages, a URL audit score is probably enough.

Also worth noting: no tool can truly know “this page has an 87% chance of being cited by ChatGPT” because AI answer engines do not publish a deterministic citation algorithm. The scores are proxies based on observed signals, not guarantees. jasonburns.co.uk arxiv.org

Yes. This is now a real category, usually called GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or AI citation/visibility optimization.

A few tools are particularly close to what you're describing:

• aisearchvisibility.ai — probably the closest match if you want a page-level “how citable is this URL?” score. It gives a 0–10 score across indexability, intent/value, E-E-A-T, schema, and AI citeability, with prioritized fixes. AI Search Visibility AI Search Visibility
• aeocrawler.com — scores individual pages 0–100 for citability and explicitly targets ChatGPT, Perplexity, and Google AI Overviews. It also has a verification step that checks whether the page is actually cited by live AI answers. AEO Crawler
• frase.io — a simpler page-level checker that grades how ready a page is to be cited by ChatGPT, Perplexity, and Claude. Frase
• signalor.ai — more of a full platform: scores sites across several GEO pillars and also tracks which pages AI actually cites, competitors, and AI visibility over time. Signalor
• rankeo.io — interesting because it combines a page-level “Citation Readiness Score” with actual AI citation tracking across multiple engines. Rankeo

The important distinction

There are actually two different things you could score:

1. Predicted citability — “Would an AI engine want to cite this page?”

This is what the page auditors above primarily measure. They look at things like:

• Is the answer stated clearly and directly?
• Is the content easy for an LLM to extract?
• Are claims supported by authoritative sources?
• Is there clear authorship and freshness?
• Is the page crawlable/renderable?
• Is the content structured with headings, tables, lists, schema, etc.?
• Does the page establish the relevant entities clearly?

2. Observed citation probability — “When people ask relevant questions, how often does AI actually cite this page?”

This is arguably the more valuable metric. You give the system a set of prompts such as:

“What are the best X tools for Y?”
“How does X compare with Y?”
“What should a company do about Z?”

Then run those prompts across ChatGPT, Perplexity, Gemini, Claude, etc., and measure:

Page Citation Rate = times your URL was cited / times the relevant AI answers were generated

That gives you something much closer to a genuine AI-source score rather than another SEO-style heuristic.

For example:

The combination of those two numbers is much more interesting than either alone.

And yes—there are tools now that combine the two approaches. Rankeo, AEO Crawler, SignalorAI and similar platforms are moving in that direction. Rankeo AEO Crawler Signalor

If you're asking because you want to evaluate your own site's pages at scale, I can also compare the current tools specifically on page-level scoring, API/bulk crawling, actual citation data, pricing, and whether you could use them to build an internal “AI source score” for every URL.

Yes. There’s now a pretty clear category for this: AEO/GEO (Answer Engine Optimization / Generative Engine Optimization) tools.

If what you mean is specifically “Given this URL, how likely is an AI answer engine to use/cite this page as a source?”, rather than merely “does AI mention my brand?”, a few tools are especially relevant:

• aeolens.ai — probably closest to what you're describing. It gives a 0–100 AEO score, audits individual pages for 48 signals, and also simulates buyer questions across ChatGPT, Gemini, Claude, Perplexity, and Grok to measure actual citation rate. AEOlens
• geotoolbox.ai — lets you grade any URL on “Citability” and “AI Readability,” using signals such as schema, crawler access, JavaScript rendering, freshness, and answer-first formatting. GEO Toolbox
• aeo-platform.com — has a page-level citation-readiness score covering structure, authority, freshness, entity clarity, and machine parsability, plus a page optimizer. AEO Platform
• pagefuze.com — offers an “AEO Page Scanner” that scores pages for content clarity, FAQ structure, schema, and semantic completeness, alongside actual AI citation tracking. PageFuze
• surfacerank.com — interesting if you want to combine a page's theoretical citability score with observed AI traffic/citations. It specifically distinguishes actual AI retrieval/citation behavior from simulated visibility. SurfaceRank

The important distinction

I'd actually separate the problem into two scores:

1. Citation Readiness — “Could an AI easily use this page?”

Things like:

• Is the answer explicit and extractable?
• Does the page have strong entity/topic clarity?
• Are claims supported by evidence?
• Is the information current?
• Is the content structured in answer-sized chunks?
• Can AI crawlers access/render it?
• Is there schema?
• Does the page demonstrate authority/trust?
• Does it contain original data, statistics, methodology, etc.?

2. Observed Citation Probability — “Does AI actually use this page?”

For example:

Run 100 relevant questions through ChatGPT/Perplexity/Gemini → 23 answers cite this URL → 23% observed citation rate

That second metric is much more meaningful than a generic “AEO score.” Tools such as AEOlens and Surface Rank are moving in this direction. SurfaceRank AEOlens

If you're thinking about building this

There is still an interesting gap here.

Most tools seem to focus on brand visibility/share of voice, e.g. “Are we mentioned by ChatGPT?” HubSpot's AEO product, for example, emphasizes visibility, share of voice, prompts, and citation analysis. HubSpot

A really useful product could instead make the URL/page the primary unit:

AI Citation Score: 78/100
Estimated citation likelihood: High

Why:
✓ Direct answer structure
✓ Strong entity clarity
✓ 14 supporting sources
✓ Fresh within 30 days
✓ Frequently cited competing pages have similar structure

Weaknesses:
✗ No original statistics
✗ Claims aren't attributed
✗ Competitor pages have 3× more independent references

Highest-impact change: Add original data + methodology section.

And, crucially, compare the page against the actual pages AI engines cite for the same questions.

That would be substantially more actionable than a generic GEO score.

If that's what you're considering, I can also map out what the scoring algorithm would need to measure and how I'd build a 0–100 “AI citation likelihood” score.

Yes. The category you’re looking for is usually called GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or AI search visibility.

There are now tools that go beyond “does my brand get mentioned?” and actually audit/score individual pages for their likelihood of being retrieved, cited, and used in AI-generated answers. The market is still pretty immature, though—there isn't yet a universally accepted “AI citation score” equivalent to an SEO Domain Rating. Shadow arXiv

Tools worth looking at

• AI Search Visibility — probably closest to what you described. It evaluates pages across dimensions such as crawlability, content depth, snippet/extractability, structured data, trust signals, and attribution risk, then produces an overall score. AISearchVisibility
• BlueJar — focuses more on actual AI visibility and citation tracking across ChatGPT, Perplexity, Gemini, and Copilot, then maps which sources are getting cited and what you need to change. BlueJar
• Profound / Peec AI / Otterly / Scrunch — stronger if your goal is monitoring actual AI answers at scale: prompts → mentions/citations → competitors → share of voice. They tend to be less about a single page's intrinsic “citation probability” score. A recent comparison of the category puts these among the main platforms. Elmo Kitbase
• AuditAE — takes a more explicit audit approach, looking at technical foundations, on-page structure, topical authority, off-page signals, and distribution. AuditAE

The important distinction

There are really two different scores you could be asking for:

1. “How AI-ready is this page?”

URL → score 0–100 → recommendations

Things like:

• Can AI crawlers access it?
• Is the answer explicit and extractable?
• Does it directly answer the query?
• Are facts supported?
• Is there original data/evidence?
• Is the author/entity trustworthy?
• Is the page structured clearly?
• Is it fresh?
• Does schema help?
• Can an LLM easily quote a passage?

Tools like AI Search Visibility are closest to this.

2. “How likely is this page to actually be cited?”

URL + target queries → simulate/measure AI engines → citation probability

This is considerably more valuable, but harder. You'd want to test the page against actual prompts in ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, etc., and compare it against the pages that those engines actually cite.

That distinction matters because research is finding that citation isn't simply a page-quality score. Topical relevance, retrieval position, freshness, completeness, and the competitive set all affect whether a source gets cited. arXiv arXiv

If you're thinking about building this

I actually think there's an interesting product gap here.

A genuinely useful “AI Citation Score” could look something like:

Page: /best-project-management-software
AI Citation Score: 72/100

ChatGPT: 81
Perplexity: 69
Google AI: 74
Gemini: 63

Why you score well

• Strong topical match
• Clear definitions
• Good comparison table
• Recent data
• Author credentials

Why you lose citations

• Competitor X has more first-party data
• Your answer to “pricing” is buried
• Missing explicit methodology
• Two important claims lack supporting sources

Estimated citation likelihood: 18%
Top competing sources: X, Y, Z
Highest-impact changes: 3

That's much more actionable than a generic “GEO score.”

And there's some empirical support for this direction: a 2026 study found that high-influence cited pages tended to be longer, more structured, semantically aligned, and richer in extractable evidence, while another controlled study found topical relevance and retrieval position to be particularly important. arXiv arXiv

If you tell me what kind of pages you have (SaaS, ecommerce, publisher, local, etc.), I can also give you a shortlist of the 3–5 tools I'd actually test, specifically for scoring your existing pages rather than merely tracking brand mentions.

Yes. The category is usually called AI search visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization).

There are actually two different kinds of tools, and the distinction matters:

For your exact question

A tool called AI Search Visibility is unusually close to what you're describing. It takes a specific URL and gives it an AI Readiness / Citeability score, evaluating things like crawlability, content/intent, E-E-A-T, schema, and how easily an AI can extract and safely cite the page. It currently claims a 0–10 score and 120+ checks. www.aisearchvisibility.ai

There are also:

• SearchScore — broader site-level AI visibility auditing, with 250+ signals and ongoing tracking across ChatGPT, Claude, Gemini, Perplexity, etc. searchscore.io
• OtterlyAI — more focused on actually tracking whether your brand/site gets mentioned and cited across AI search engines, plus content audits. otterly.ai
• Ahrefs AI Visibility Checker — useful for measuring actual AI mentions/citations and seeing which pages/domains are being cited. ahrefs.com
• Yogoo AI — gives a 0–100 visibility score and shows where competitors are being cited instead of you. yogoo.ai

But there's an important limitation

A “likelihood of being cited” score isn't the same thing as measuring actual citations.

For example, a page might get a 9/10 on technical/content criteria but never be cited because an AI engine has better sources available. Conversely, a relatively ordinary page can get cited frequently because the site has strong authority or because it uniquely answers a particular question.

So if you're evaluating your pages, I'd use both:

1. Page-level score:

“How citation-ready is this URL?”

2. Real-world citation rate:

“When AI answers the questions this page should answer, how often does it actually cite us?”

The second metric is much closer to the equivalent of organic search rankings, while the first is more like an SEO technical/content audit.

If you're considering building or buying a tool for your team, I can also compare the current 2026 GEO platforms (Profound, Otterly, Scrunch, Ahrefs, Peec, etc.) specifically on whether they score individual URLs vs. merely track brand citations.

Yes. The category you’re looking for is usually called GEO (Generative Engine Optimization), AI visibility, or AI citeability.

A few tools specifically score individual URLs/pages for how likely they are to be understood and cited by answer engines:

• Frase GEO Score Checker — probably the easiest place to start. Paste a page URL and it grades how ready the page is to be cited by ChatGPT, Perplexity, and Claude, with recommendations. Frase
• AI Search Visibility — more detailed page-level audit: 120+ checks covering indexability, intent, trust/E-E-A-T, schema, citeability, and risk, producing a 0–10 AI Citeability Score. AI Search Visibility AI Search Visibility
• Sona — has a published 209-point / 35-check rubric specifically designed around whether answer engines can fetch, parse, trust, and cite a page. This is particularly interesting if you want to build your own scoring methodology. Sona
• SEObolt GEO Score — scores pages across content structure, evidence/citations, technical accessibility, E-E-A-T, freshness, and writing quality. SEObolt
• GEOSource — gives a page-level score with components such as answerability, citation quality, definitions, readability, and AI accessibility. GeoSource.ai
• CitationDesk — a simpler 0–100 “citation readiness” score based on SEO foundation, GEO readiness, entity coherence, and bot-crawl health. CitationDesk

One important distinction

There are really two different things you can measure:

1. “Is this page structurally likely to be cited?”
Tools like Frase, Sona, AI Search Visibility, and SEObolt attempt to predict this from the page itself.

2. “Is this page actually being cited?”
Tools like EdenRank, CitedSpy, and other AI-visibility trackers run real prompts through multiple answer engines and record the sources they actually cite. EdenRank CitedSpy

The second is arguably the more valuable KPI. Recent research also suggests that being mentioned, being recommended, and having your own website cited are distinct outcomes. Robot Visible

If you're evaluating this for your own site at scale, I’d look for a tool that gives you both a page-level “citation readiness” score and actual citation data. That lets you answer:

“This page scores 82/100 for AI citeability, and here are the 14 prompts where ChatGPT/Perplexity/Gemini actually cited it.”

If you tell me roughly how many pages you have (e.g. 100, 10K, 1M) and whether you're looking for a tool to buy vs. something you could build internally, I can narrow this down considerably.

Yes. There are now several tools designed to estimate GEO (Generative Engine Optimization) / AI visibility — essentially, how likely a page is to be retrieved, understood, and cited by AI answer engines like ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. The category is still evolving, so treat scores as directional rather than a guaranteed prediction. arXiv

Some options:

When evaluating these tools, I’d look beyond the headline score and check whether they measure:

• Answerability: Does the page answer the likely user question immediately?
• Extractability: Can an AI system pull a clean, self-contained passage from it?
• Evidence: Are claims supported by data, sources, examples, or references?
• Entity clarity: Does the page clearly establish who/what the content is about?
• Technical accessibility: Can AI crawlers access and parse the content?
• Freshness: Is the content updated and date-signaled?

A practical workflow is:

1. Run your top 20–50 money pages through one of these graders.
2. Compare the lowest-scoring pages against pages that already get traffic/leads.
3. Fix structural issues first (clear answers, definitions, tables, FAQs, citations, schema).
4. Then track whether AI engines actually cite you for target queries.

One caveat: no tool can truly know whether ChatGPT or another engine will cite a page in every future answer. AI citation behavior is probabilistic and depends on the query, competitors, retrieval systems, and model updates. arXiv

If you tell me your CMS (WordPress, Webflow, Shopify, custom, etc.) and whether you care more about ChatGPT citations, AI Overviews, Perplexity, or overall visibility, I can suggest the best fit.

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

There are now tools that specifically score an individual page for how likely it is to be understood, extracted, trusted, and cited by AI answer engines such as ChatGPT, Perplexity, Claude, and Google AI Overviews.

A few worth looking at:

• AI Search Visibility — Probably closest to exactly what you described. It gives each URL an AI Readiness score from 0–10, with separate scores for indexability, intent/value, E-E-A-T, schema, and AI citeability, plus prioritized fixes. www.aisearchvisibility.ai
• Rankio — Has a Citability Score out of 100 and compares your page against competing pages for the same query. It specifically evaluates information density, evidence, sourcing, answer structure, expertise, and machine readability. rankio.proanswervisibilitylab.comwww.ahoylighthouse.com
• GEOSource — Scores pages on things like answerability, citation quality, definitions, readability, and AI accessibility. It also has citation research behind its scoring. geosource.ai
• Context.dev's GEO Checker — A free URL checker specifically positioned as a research-backed GEO score for ChatGPT, Perplexity, Google AI Overviews, and Copilot. www.context.dev
• Answer Visibility Lab — Gives a 100-point score across AI crawlability, sitemap/llms.txt, entity clarity, answer extractability, citation-worthiness, and freshness. answervisibilitylab.com

One important distinction

There are really two different things these tools measure:

1. "Is this page citation-worthy?"
A page-level audit: If an AI encounters this page, how good a source is it?
→ Rankio, AI Search Visibility, GEOSource, etc.

2. "Are AI engines actually citing us?"
They run real prompts against AI engines and measure whether your domain appears as a source.
→ Tools such as Lighthouse and GEO Studio focus more on this. www.ahoylighthouse.com

The best setup is actually to use both. An audit score tells you why a page might not be cited; live citation monitoring tells you whether the changes actually caused AI engines to cite it.

And I'd be a little skeptical of treating any single "AI score" as an objective probability of citation. The field is still young, and different engines behave differently. Even Context.dev explicitly describes its score as a directional signal rather than a fixed standard. www.context.dev

If you're asking because you want to build something like this for your own pages, I can also break down what the scoring model should actually measure and which signals I'd use to produce a defensible 0–100 "AI Source Likelihood" score.

Yes. What you’re looking for is usually called a GEO/AEO (Generative Engine Optimization / Answer Engine Optimization) page-level scorer.

A few tools are specifically built around the question “How likely is this page to be cited by AI answer engines?”:

• AEOCrawler — probably the closest match to your question. It scores individual pages 0–100 for “citability”, using nine dimensions, then lets you verify the score against live ChatGPT/Perplexity citations. It’s free to start without signup. aeocrawler.com
• Frase GEO Score Checker — page-level score for readiness to be cited by ChatGPT, Perplexity and Claude, with recommendations for improvement. www.frase.io
• GEO IQ — combines an AI-powered “answerable/factual/citation-worthy” score with technical crawling and actual AI citation measurement. geo.id8s.ai
• AEO Platform — more of a full SEO/AEO workflow. Its page optimizer scores structure, authority, freshness, entity clarity, and machine parsability, alongside actual citation monitoring. www.aeo-platform.com
• OtterlyAI — broader AI-search monitoring, but it also offers a predictive page-level score for crawlability, AI readiness and citation potential. otterly.ai
• Surface Rank — gives an AI visibility/citability score and combines it with observed AI-agent traffic and actual citations. www.surfacerank.com

One important distinction

I'd separate “AI citation readiness” from “actual AI citation performance.”

A page can score 90/100 because it's well structured, authoritative, fresh, etc., but that doesn't mean ChatGPT or Perplexity will actually cite it. The strongest platforms therefore do both:

Page score → actual prompts → actual citations → competitor comparison → recommendations

For example, Scrunch tracks the actual pages/domains being cited in AI answers, while HubSpot's AEO product similarly combines an AI visibility score with citation analysis. aeocrawler.comwww.frase.iogeo.id8s.aiwww.surfacerank.comscrunch.com

If you're evaluating these because you want to build this capability into your own product/site, I can also break down what the scoring algorithm should actually measure (crawlability, passage-level answerability, entity clarity, evidence, freshness, citations/backlinks, schema, etc.) and which parts can be measured deterministically versus with an LLM.

Yes. The category you're looking for is usually called GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or AI search visibility.

There are actually two different kinds of tools, and the distinction matters:

The closest matches to what you're describing

1. GeoSource — probably the closest fit.
It lets you enter a URL and gives a Citation Readiness Score specifically intended to predict AI citation likelihood. It evaluates things like answerability, citation quality, definitions, readability, and AI accessibility. It also distinguishes this from simply measuring whether you're currently being cited. geosource.ai

GeoSource — free GEO scan

2. Frase GEO Score — another very direct option.
Its free checker takes a page URL and grades how ready that page is to be cited by ChatGPT, Perplexity, and Claude, with recommendations for improvement. www.frase.io

Frase GEO Score Checker

3. GEO Toolbox — more focused on the underlying citability signals.
It scores URLs on Citability and AI Readability, including things such as bot accessibility, JavaScript rendering, freshness, schema, and answer-first formatting. It also lets you see actual citations across multiple engines. geotoolbox.ai

GEO Toolbox

If you're evaluating a whole site

I'd look at Profound, Peec AI, Otterly, or Scrunch. Those are more about observed AI visibility—running a set of queries against AI engines and measuring mentions, citations, competitors, share of voice, etc.—rather than giving every URL a theoretical "this page is 82% likely to be cited" score. www.elmohq.com

The important distinction is:

“Citation readiness” ≠ “actual citation visibility.”

A page can score highly on structural/citability signals but never get cited for your target questions. Conversely, a page can have mediocre conventional SEO characteristics and still get cited because it contains exactly the answer an AI engine needs. Current tools increasingly measure both sides. geosource.ai

If you're thinking about building this internally

This is actually a pretty interesting scoring problem. I'd model a page's AI Source Likelihood Score around:

• Answerability — does it directly answer the query?
• Extractability — can an LLM pull a self-contained passage from it?
• Source quality — does the page cite credible primary/secondary sources?
• Definition density — does it clearly establish facts/terms?
• Structural clarity — headings, tables, lists, concise sections
• Freshness
• Crawl/accessibility — can AI crawlers actually retrieve it?
• Entity/topic alignment
• Originality — unique data, research, examples, etc.
• Observed citation history — whether AI engines have actually cited the URL

And I'd keep predicted citation likelihood separate from observed citation rate. That's probably the most useful distinction if you're trying to score thousands of pages.

If you tell me what kind of site/pages you're working with (e.g. SaaS, publisher, ecommerce, docs), I can also give you a shortlist of the 3–5 tools I'd actually test, including which ones score individual URLs versus merely tracking brand visibility.

Yes. This is an emerging category usually called GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or AI visibility/citability scoring. These tools try to estimate how likely a page is to be understood, retrieved, and cited by AI answer engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews. checkaeo.aiwww.surfacerank.com

A few tools worth looking at:

A good scorecard should evaluate more than traditional SEO. The signals that tend to matter for AI citation likelihood include:

• Can AI crawlers access the page? (robots rules, indexing, crawlability)
• Is the content easy to quote? (clear definitions, concise answers, lists, tables)
• Does the page demonstrate authority? (authors, citations, credentials, dates)
• Are entities clearly defined? (organization/person/product relationships)
• Is structured data present? (Schema.org markup)
• Does the page directly answer questions users ask AI?
• Does the content contain unique, verifiable information?

One caveat: these scores are predictive, not a true probability that ChatGPT or another engine will cite a page. The actual systems use proprietary retrieval and ranking processes, so a page with a 95/100 audit score is not guaranteed to appear. The most valuable tools are ones that show why they gave the score and provide specific fixes rather than just a number. visibilityiq.io

If you’re evaluating this for a company site, I’d prioritize a tool that can:

1. score every important URL,
2. compare competitors,
3. track actual AI citations over time,
4. connect recommendations back to specific content changes. checkaeo.aiwww.surfacerank.com

Yes. There’s now a growing category for this, usually called GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or AI search visibility.

If your specific question is “Can I give this URL a page-level score for how likely ChatGPT/Perplexity/Gemini/etc. are to cite it?”, these are worth looking at:

One important distinction: there are really two different things you can score.

1. Citation readiness / potential — “Given the content and technical characteristics of this page, how citable does it appear to be?”
2. Observed citation performance — “When we actually ask hundreds of relevant questions, how often does an AI engine cite this page?”

The second is much more meaningful. A page can score 90/100 on an audit and still never get cited because competitors have stronger evidence, authority, or topical relevance.

There is also emerging research supporting this distinction: recent work separates citation selection (the AI chooses your page as a source) from citation absorption (the answer actually uses the information from your page). arxiv.org

If you're thinking about building this internally

I'd actually avoid calling it simply an “AI SEO score.” A useful internal score could be something like:

AI Citation Potential =

• Query/intent alignment
• Answer extractability
• Factual specificity
• Evidence/citations
• Entity clarity
• Topical completeness
• Authority/E-E-A-T signals
• Technical crawlability
• Structured data
• Freshness

…and then separately measure actual citation rate by running your target queries through the relevant answer engines.

If you tell me what kind of pages you have (e.g. ecommerce product pages, SaaS landing pages, healthcare, publishers, documentation), I can recommend the best existing tool—or sketch out a scoring rubric you could use to evaluate 1,000+ pages automatically.

Yes. This is becoming a real category, usually called GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or AI search visibility.

There are two slightly different things you can measure:

1. “How likely is this page to be cited?” — a page-level score/audit.
2. “Is this page actually being cited?” — monitoring real ChatGPT/Perplexity/Google AI answers.

Tools worth looking at

• Frase GEO Score Checker — probably the closest match to your wording. You paste a URL and it gives the page a GEO score for how ready it is to be cited by ChatGPT, Perplexity, and Claude, with recommendations for improvement. They currently offer a free first result. www.frase.io

• OtterlyAI — more comprehensive. It has a GEO Content Check and audits pages against 20+ factors, but its bigger strength is measuring whether your URLs are actually being cited across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot. otterly.ai

• SearchScore — focused specifically on AI search visibility and evaluates whether AI systems can find, extract, and trust your content—the three stages that determine whether a page can become a source. searchscore.io

One important caveat

I wouldn't treat any vendor's "AI citation score" as an authoritative probability like “this page has a 73% chance of being cited.” There isn't a universal scoring system across answer engines. Research published in 2026 suggests citation selection and the degree to which a cited page actually contributes to the answer are separate phenomena. arxiv.org

So, if you're evaluating a large set of your own pages, I'd ideally want a tool that gives you both:

Page-level readiness score
→ crawlability
→ extractability
→ direct answers to questions
→ structure/headings
→ factual evidence
→ entity/context signals
→ authority/trust
→ freshness

+ actual citation data
→ which prompts trigger the page
→ which engines cite it
→ competitors cited instead
→ citation frequency
→ what portion of the answer comes from your page

Frase is the quickest thing I'd test for the first part; OtterlyAI is more interesting if you're trying to build an ongoing AI-search measurement program.

If you tell me what kind of site/pages you're working with and roughly how many URLs, I can also recommend the best tool specifically for scoring an entire content library rather than individual pages.

Yes. There are now tools specifically aimed at AI search / Answer Engine Optimization (AEO/GEO), but there’s an important distinction:

• “Will AI engines cite this particular page?” → page-level scoring/auditing
• “How visible is our brand across AI answers?” → brand/domain-level tracking
• “Why are competitors getting cited instead of us?” → competitive/prompt analysis

The closest match to what you're describing

AI Search Visibility is probably the most literal fit. You paste in a URL and it gives the page an AI Readiness score (0–10), identifies blockers, and provides prioritized fixes. It specifically evaluates likelihood of being cited by ChatGPT, Google AI Overviews, and Perplexity. www.aisearchvisibility.ai

More established SEO platforms

Semrush AI Visibility is broader. Its AI Visibility Toolkit gives an AI Visibility Score (0–100) and shows mentions, citations, cited pages, competitors, and the prompts where you're appearing or missing. Its Content Toolkit also analyzes content against factors correlated with higher AI citation rates. www.semrush.com

Ahrefs Brand Radar is another strong option. It tracks AI visibility across ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews/AI Mode and others, including which specific pages get cited. It also distinguishes between pages AI found/retrieved and pages it actually cited. ahrefs.com

That distinction is particularly useful: a page can be relevant enough for an AI engine to retrieve but not authoritative/clear/useful enough to make the final citation.

If you're trying to build an internal scoring system

I wouldn't rely on a single vendor's proprietary score. I'd create something like:

AI Citation Potential Score = 0–100

with components such as:

Then validate the score against actual citation frequency across a set of representative prompts.

That's ultimately more interesting than simply asking an LLM to "grade this page for AI." The strongest signal is: given 50–500 realistic questions, how often does this URL actually get retrieved and cited, and what characteristics distinguish the cited pages from the non-cited ones?

If you're asking because you want a tool that can crawl your entire site and give every URL an “AI citation likelihood” score, that's a narrower product category—and I can compare what's available right now and tell you which ones actually do page-level scoring rather than just brand visibility.

Yes. The category you’re looking for is usually called GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or AI search visibility.

A few tools now specifically score individual pages for how “citeable” they are:

• Frase GEO Score Checker — probably the easiest starting point. You paste a URL and it grades how ready the page is to be cited by ChatGPT, Perplexity, and Claude, with recommendations.
• AI Search Visibility Audit — specifically gives a page-level “AI Readiness” score based on things like indexability, intent/value, trust, schema, and AI citeability.
• GEOSource — interesting if you want a more research-oriented score. It breaks the score into things like answerability, citation quality, definitions, readability, and AI accessibility.
• SearchScore — broader audit across GEO + traditional SEO + CRO, with 250+ signals.
• Rankeo — combines page auditing with ongoing tracking of citations across multiple AI engines.

One important caveat

I wouldn't treat the resulting “AI score” as an authoritative probability that a page will actually be cited. There isn't a public equivalent of Google PageRank or Search Console for ChatGPT/Claude/Perplexity citations. Vendors generally estimate visibility by combining page-level signals with observed AI citations. www.reddit.com

And research suggests the actual citation process is more nuanced: topical relevance and retrieval position appear to be particularly important, while things like completeness, freshness, structure, and trust signals can help but don't guarantee citation. arxiv.org

If your actual goal is: “We have 5,000 pages. Give every page a score from 0–100 for its likelihood of being cited by an AI answer engine, and tell us what to fix,” — that's a slightly different problem, and I can lay out the best tools/workflow for doing that at scale.

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

A few tools specifically score individual pages for their likelihood of being understood/cited by AI answer engines:

• AI Search Visibility — probably the closest match to your question. Paste a URL and it gives an AI Readiness / Citeability score, with checks for indexability, content/intent, E-E-A-T, schema, and how quotable the page is. It explicitly targets ChatGPT, Google AI Overviews, Perplexity, etc. www.aisearchvisibility.ai
• Citera — scores pages across answer directness, authority signals, structured data, semantic coverage, and freshness, and looks at how different AI engines understand/cite the page. citera.dev
• SearchScore — gives an AI Search score plus SEO/CRO scores and can subsequently track actual AI citations across multiple engines. searchscore.io
• Context.dev's GEO Checker — free URL-level checker specifically aimed at citation readiness for ChatGPT, Perplexity, Google AI Overviews, and Copilot. www.context.dev

One important distinction

There are really two different things you can measure:

1. "Is this page structurally/content-wise likely to be cited?"

→ Tools like AI Search Visibility and Citera are what you want.

2. "Is this page actually getting cited when people ask relevant questions?"

→ Tools like SearchScore, Ahrefs Brand Radar, Profound, Peec, etc. are more useful.

The second is ultimately more meaningful. AI answers are probabilistic, so a single "GEO score" isn't a guaranteed probability of citation. Recent research specifically recommends repeated measurements across prompts rather than treating visibility as a single static number. arxiv.org

If you're evaluating this for your own site's pages, I'd actually use both: a page-level citation-readiness score + a real-world citation tracking score. That lets you answer both "what should we fix?" and "did the fix actually make AI engines cite us more?"

If you tell me roughly how many pages you have (e.g. 50, 5,000, 500k), I can recommend the best tool/workflow for scoring the whole site rather than just individual URLs.

Yes. There’s now a fairly mature category of tools for this, usually called AI visibility, AEO (Answer Engine Optimization), or GEO (Generative Engine Optimization).

The important distinction is that there are two different things you might want to score:

1. “How likely is this specific page to be cited?” — content/page-level audit.
2. “How often does our site actually get cited?” — empirical tracking across AI answers.

Tools worth looking at

• AI Search Visibility — probably closest to exactly what you're describing. You give it a URL and it produces an AI Readiness score (0–10) plus blockers and recommended fixes. It specifically evaluates likelihood of citation by ChatGPT, Google AI Overviews and Perplexity. www.aisearchvisibility.ai

• Ahrefs AI Visibility Checker / Brand Radar — stronger if you want to measure actual observed citations, rather than just predict them. It tracks mentions, citations, cited pages/domains and AI share of voice across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode. ahrefs.com

• Semrush AI Visibility Toolkit — broader enterprise/SEO-oriented monitoring; useful if you're already in the Semrush ecosystem. A recent comparison of AEO tools also highlighted it alongside Ahrefs, Scrunch, Peec, etc. www.techradar.com

But there's an important caveat

I wouldn't put too much faith in a single “AI citation score.” AI answer engines are nondeterministic: the same query can produce different sources at different times. Recent research specifically argues that citation visibility should be treated statistically rather than as a fixed score. arxiv.org

So, for a serious content program, I'd use a combination:

Page-level score

“Is this page structurally/content-wise likely to be useful to an AI?”

+

Observed citation rate

“When we actually run relevant questions through ChatGPT/Perplexity/Gemini/etc., how often does this URL get cited?”

+

Citation quality

“When cited, does the AI actually use our page's information in its answer?”

That last one is particularly interesting: research published this year distinguishes between a page merely being retrieved, actually being cited, and its information being absorbed into the generated answer. arxiv.org

If you're asking because you want to build something like this for your own pages, that's actually a very interesting product problem. I can break down what I'd put into a page-level “AI citation likelihood score” and how I'd calculate it—including the signals I'd measure from the HTML/content.

Yes. The category is usually called AI visibility, AI search optimization (AISO), generative engine optimization (GEO), or answer engine optimization (AEO). There are tools that try to estimate how likely your pages are to be cited or surfaced by AI answer engines like ChatGPT, Perplexity, Google AI Overviews, and Claude.

A few options:

There are also page-level analyzers that score the factors AI systems tend to favor, such as:

• Clear entity/topic coverage
• Answer-first formatting
• Structured data/schema
• Author expertise signals
• Citations and references
• Freshness
• Crawlability
• Passage-level extractability
• Unique insights vs. generic summaries

A practical "AI citation readiness" score would usually look at:

1. Can an AI crawler access the page?
   • robots.txt
   • indexing
   • rendered HTML availability

2. Can the model understand what the page is about?
   • strong headings
   • concise definitions
   • structured sections
   • schema markup

3. Would an AI trust it as a source?
   • first-hand data
   • expert authorship
   • references
   • reputation signals

4. Is it quotable?
   • direct answers
   • statistics
   • original research
   • clearly stated conclusions

One caveat: no tool can truly predict "ChatGPT will cite this page 73% of the time." The models don't expose a deterministic ranking score, and citation behavior changes by query, model version, user context, and competing sources. The tools above are mostly visibility monitors and optimization proxies, not guaranteed predictors.

If you are looking for something closer to a "score every URL in our site from 0–100 for AI answer engine citation likelihood" product, that is a less mature niche. Some agencies build internal graders using crawl data + LLM evaluation + SEO signals.

I can also outline what a good internal AI-source-readiness scoring model would look like if you are considering building one.

Yes. The category is usually called AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), or AI search visibility tools. They try to estimate whether your pages are likely to be retrieved, cited, or mentioned by systems like ChatGPT, Gemini, Perplexity, and Google AI Overviews. aeoaudit.se

A few tools worth looking at:

A caveat: there is no universally accepted “AI citation score” yet. These tools use proxies because AI engines do not publish their exact ranking/citation algorithms. A good evaluation usually combines:

• Actual citation tracking: “When someone asks X, does ChatGPT/Perplexity/Gemini cite this URL?”
• Retrieval readiness: clear answers, structured headings, tables, definitions, FAQs
• Authority signals: expertise, original data, references, reputation
• Technical accessibility: crawlability, schema, clean HTML, freshness

Research on AI citation behavior suggests that relevance, freshness, structured information, and evidence-rich content are among the factors associated with pages being selected as sources, though results vary by engine. arxiv.org

If you mean “score each URL on my site before publishing” (like an AI equivalent of Lighthouse/SEO grading), the market is still immature. If you mean “tell me whether my existing pages are appearing in AI answers,” the tools above are closer to what you want.

Yes. This is now a real category, usually called GEO (Generative Engine Optimization) or AEO (Answer Engine Optimization).

The important distinction is that there are two different things you might want to measure:

1. “Does AI actually cite our pages today?” — measurable by running a set of representative prompts against ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, etc., and recording which URLs get cited.
2. “How likely is this particular page to be cited?” — harder. Some tools audit the page's structure/content and give an AI-readiness or citation-likelihood assessment, but there isn't a universally accepted equivalent of a Google ranking score.

Tools worth looking at

Profound is probably closest to what you're describing for an enterprise/content team. It tracks which specific URLs are cited across ChatGPT, Google AI Overviews and other answer engines, and lets you analyze citation share at the page level. www.tryprofound.com

OtterlyAI is another strong option. It monitors prompts across ChatGPT, Google AI Overviews, Perplexity, Gemini, Claude and Copilot, then reports whether your site is mentioned/cited. It also has a GEO Audit that evaluates whether AI engines can crawl and understand your site. help.otterly.ai

Semrush has an AI Visibility Toolkit that combines AI visibility tracking with an AI-readiness site audit. A recent independent comparison specifically noted its ability to analyze AI visibility and content readiness. www.techradar.com

But there's a catch

I wouldn't put too much faith in a single “AI citation score = 82/100” number.

Research in 2026 is finding that citation behavior differs substantially between engines. A page that gets cited by Google AI Overviews isn't necessarily the page ChatGPT or Perplexity will cite. arxiv.org

In fact, the more useful measurement is something like:

For the questions we care about, how often does each engine retrieve and cite each of our URLs?

You can then calculate a page-level score such as:

Citation Rate = prompts where page was cited ÷ relevant prompts tested

and break it down by engine, topic, competitor, and query type.

If your actual goal is to score every page on your site and identify which pages are most/least likely to become AI sources, I can also show you what the ideal scoring system would look like—and which existing tool gets closest to it.

Yes. This has become a fast-growing category of SEO tools, often called AI visibility, LLM optimization, or Generative Engine Optimization (GEO). The caveat is that none of them can accurately predict with certainty whether ChatGPT, Gemini, Claude, or Perplexity will cite a specific page, because the models don't publish their ranking algorithms. Instead, they estimate likelihood based on factors correlated with AI citations and often test prompts directly.

Some of the better-known tools include:

What these tools typically score

A good AI visibility score usually combines things like:

• Whether your content is fact-rich and directly answers questions
• Original research or statistics that AI systems are likely to cite
• Clear page structure (headings, FAQs, lists, tables)
• Strong topical authority
• Freshness
• External citations and backlinks
• Technical accessibility (crawlability, rendering)
• How often the page actually appears in AI-generated answers during prompt testing

If you want page-level scoring

The most useful products don't just give a site-wide score—they'll tell you something like:

Likelihood of citation: 82/100

Reasons:

• ✅ Original data
• ✅ Answers common questions directly
• ✅ Good semantic coverage
• ⚠️ Weak entity definitions
• ⚠️ Missing author expertise signals
• ⚠️ Competitor cited instead

That kind of breakdown is more actionable than a single numeric score.

If you're building your own

Many companies are now creating internal "AI Citation Scores." A practical rubric might weight factors like:

• Information quality (30%) – factual completeness, unique insights
• Answerability (20%) – directly answers common user questions
• Authority (20%) – expertise, references, backlinks, reputation
• Structure (15%) – headings, tables, concise summaries, schema
• Freshness (10%) – updated information
• Technical accessibility (5%) – crawlability, page speed, clean HTML

You can then validate that score by periodically testing hundreds of prompts against AI assistants and comparing your predictions to actual citations.

In practice, the most mature products today are Profound, Scrunch AI, and Goodie if your primary goal is understanding how often AI systems surface your content, while Semrush and Ahrefs are adding AI visibility metrics to complement traditional SEO.

Yes. This is an emerging category often called AI visibility, LLM SEO, or Generative Engine Optimization (GEO). There are a few tools that estimate how likely your pages are to be cited or used in AI-generated answers, though none can perfectly predict it because OpenAI, Google, Anthropic, and Perplexity don't publish a "source score."

Some of the stronger options are:

What a good AI source score should evaluate

The best tools don't just look at SEO—they analyze factors that correlate with AI citation, such as:

• Whether the page is actually cited by ChatGPT, Gemini, Perplexity, etc.
• Semantic completeness (does it fully answer a question?)
• Entity coverage
• Original research or proprietary data
• Structured content (tables, FAQs, definitions)
• Internal linking
• Author expertise and trust signals
• Freshness
• Crawlability
• Whether the content appears in search indexes AI systems commonly rely on

If you're thinking about building one

A genuinely useful "AI Source Likelihood Score" could combine signals like:

• Answer Completeness (20%) – Does the page fully answer a user question?
• Citation Worthiness (20%) – Original statistics, studies, examples, or unique insights.
• Entity Coverage (15%) – Clear treatment of relevant people, products, concepts, and organizations.
• Authority Signals (15%) – Author information, references, external citations, and trust indicators.
• Technical Accessibility (10%) – Fast loading, crawlable, clean HTML.
• Content Structure (10%) – Headings, lists, tables, concise summaries.
• Freshness (5%) – Recent updates where appropriate.
• External Recognition (5%) – Backlinks, mentions, or other indicators of authority.

This would be more actionable than a simple SEO score because it focuses on qualities that make content useful for answer engines.

Opportunity

There still isn't a widely accepted equivalent of Google's Lighthouse or PageSpeed Insights for AI citation readiness. Most current tools emphasize tracking ("Did an AI mention my brand?") more than grading ("How likely is this page to become a source, and exactly why?").

A page-level analyzer that provides:

• an overall AI Source Score,
• engine-specific predictions (ChatGPT vs. Google AI Overviews vs. Perplexity),
• explanations for each deduction,
• and concrete recommendations,

would fill a gap that many content teams are actively looking to address.

Yes, although most are still fairly new and none can definitively predict whether a page will be cited by AI systems. What they do instead is estimate "AI visibility" or "citation readiness" by analyzing the factors that large language models and AI search engines tend to reward.

Some of the better options are:

What a good AI citation score should include

If I were designing a page score specifically for "likelihood of being used as an AI source," I'd weight factors like these:

Then produce something like:

AI Citation Score: 84/100

with sub-scores such as:

• Authority: 90
• Originality: 88
• Answerability: 92
• Evidence: 73
• Structure: 95
• AI Extractability: 89

An opportunity that isn't fully addressed

Most current tools focus on whether you're already appearing in AI answers. Fewer evaluate whether a specific page is likely to become a source before it's indexed or cited.

A stronger page-level analyzer could check things like:

• Can the page answer a standalone question in under 150 words?
• Does it include unique facts not found elsewhere?
• Are claims backed by identifiable sources?
• Is the page easy for an LLM to chunk into self-contained sections?
• Does it establish expertise and trustworthiness?
• Would a retrieval system likely rank this page as relevant for common prompts?

That kind of predictive scoring is still relatively uncommon.

If you're building an SEO or GEO product, this is an area where you could differentiate. A page-level "AI Citation Probability" score with concrete recommendations ("add original data," "make this definition self-contained," "cite primary sources," "improve entity coverage") would provide more actionable guidance than simply reporting existing AI mentions.

Yes. This is becoming a new category of SEO tooling, often called AI visibility, LLM optimization, or GEO (Generative Engine Optimization). There isn't yet a universally accepted "AI source score," but several tools estimate how likely your content is to be cited or influence AI-generated answers.

Some of the strongest options are:

If you're looking for a page-level score

The ideal score would evaluate factors like:

• Entity clarity
  • Does the page clearly define who/what it's about?
• Topical completeness
  • Does it answer the primary and related questions?
• Original information
  • Data, research, statistics, or unique insights AI systems can cite.
• Citation quality
  • References to authoritative sources.
• Structured content
  • Good headings, lists, tables, FAQs.
• Schema markup
  • Organization, Article, FAQ, Product, etc.
• E-E-A-T signals
  • Author expertise, about page, references, contact information.
• Technical accessibility
  • Fast loading, crawlable HTML, minimal JavaScript barriers.
• Link authority
  • Backlinks and brand mentions.
• Actual AI citation frequency
  • Whether the page is already being referenced in AI answers.

A scoring model might look like:

• Authority: 22/25
• Content completeness: 18/20
• Entity clarity: 14/15
• Structured data: 8/10
• Originality: 16/20
• AI citation history: 4/10

Overall AI Citation Score: 82/100

The gap in today's tools

Most current platforms tell you:

• "Your brand appeared in ChatGPT 18% of the time."
• "Competitor X appears twice as often."

They don't reliably predict, before publication, whether an individual page is likely to become a source.

That's an opportunity. A useful "AI Source Score" could combine:

• Traditional SEO signals.
• Semantic coverage and entity extraction.
• Readability for retrieval and summarization.
• Originality and evidence.
• Structured data quality.
• Historical citation patterns from AI engines.
• Comparison against the pages currently cited for the same queries.

Such a score would be more actionable than a generic SEO score because it would estimate a page's likelihood of being selected as evidence in AI-generated answers rather than just ranking in search results.

If you're considering building this as a product, it's a timely idea. Most existing tools focus on monitoring visibility after the fact, whereas a predictive AI citation score for individual pages would fill a gap in the current market.

Yes, but with an important caveat: no tool can accurately predict whether a page will be cited by ChatGPT, Gemini, Claude, Perplexity, or Google's AI Overviews, because those systems don't publish their ranking algorithms. The best tools estimate AI visibility by measuring how often your content actually appears in AI-generated answers or by scoring factors that correlate with citation.

Here are the strongest options:

Most of these report metrics like:

• % of prompts where your site is cited
• Share of voice in AI answers
• Competitors that get cited instead
• Pages most frequently referenced
• Missing topics AI prefers from competitors

If you want a page-level "AI citation score"

This is a feature that's still emerging. A good scoring system would combine signals such as:

That produces something like:

AI Citation Score: 87/100

High likelihood of being quoted by AI answer engines.

Biggest improvement: add original statistics and a concise summary section.

The gap in the market

Interestingly, there still isn't a widely accepted equivalent of Google's Lighthouse for AI citation readiness. Most tools focus on:

• monitoring whether you are cited, or
• recommending SEO improvements.

Very few provide a transparent, page-by-page predictive score explaining why a page is or isn't likely to be used as an AI source.

If you're thinking about building a product in this space, a tool that:

1. crawls a page,
2. computes an "AI Sourceability Score,"
3. explains the reasoning,
4. compares it against pages that AI systems actually cite,
5. and suggests specific improvements,

would fill a real need for publishers and SEO teams. It would complement existing AI visibility trackers rather than duplicate them.