Can AI tell who you are?
Organization and Person tags, About page, links to your social profiles, consistent contact info.
Free AI search check
Find out where you appear in ChatGPT, Perplexity, and Google AI search.
Five scoring areas that measure whether AI search engines can find, understand, and quote your site — clear identity, quotable facts, topic depth, AI-readable HTML, and trust signals. One "AI Visibility" score from 0 to 100. No login. No spam.
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By submitting you allow a single read-only crawl of your homepage.
How we measure
We score the signals. We don't ask the AI engines directly — yet.
ChatGPT, Perplexity, and Google AI search don't have a public "did you quote this page?" check. So we score the signals those engines look for — schema markup, quotable facts, clean HTML, internal links, author trust. Fix those signals and the citations generally follow. We'll add direct AI-engine checks in our next release; this signal score is the best leading indicator we have.
What we score
1 — Clear identity
2 — Quotable facts
3 — Topic depth
4 — AI can read it
5 — Trust
Five areas. Forty-five checks.
Can AI quote you?
Stats, FAQ blocks, lists, definitions — the chunks AI search actually pulls into answers.
Are you a go-to source?
Internal links, content depth, topic focus. AI search prefers pages that live in a strong topic neighborhood.
Can AI even read your page?
Clean HTML, server-rendered content, heading order. JavaScript-only sites hide content from many crawlers.
Should AI trust you?
Author bylines, dates, links to your sources, privacy policy, HTTPS. AI search cares about where info comes from.
Why a separate AI score?
HighLevel's SEO is great. It just doesn't track AI search.
HighLevel ships an excellent SEO toolkit (Domain Power, OTTO auto-fix, AI content help). What it doesn't cover: how visible your site is in ChatGPT, Perplexity, and Google AI search. Their "AI" is AI helping with SEO. Ours measures the new AI search layer.
What we add
- One AI Visibility score 0–100
- Score for each of 5 areas 5 areas
- Specific fix for every issue how-to
- Optional monthly tracking + alerts $79/mo
Definitions
What GEO actually means.
GEO — Generative Engine Optimization — is the work of being readable, quotable and attributable to AI answer engines: ChatGPT, Perplexity, Claude, Google's AI Overviews. It overlaps heavily with classic SEO and then diverges on what it rewards.
An answer engine does not return ten links. It reads sources, synthesises one answer, and sometimes cites what it used. Ranking is no longer the goal; being the thing quoted inside the answer is. A site can sit at position three on Google and never once be mentioned by an assistant summarising the same question.
Citability is the property that decides it: discrete, checkable statements — a number, a definition, a step, a direct answer under a question-shaped heading — that can be lifted intact without the surrounding paragraph. Marketing prose that means nothing out of context is nearly impossible to quote.
Entity clarity is whether a machine can tell who you are with confidence: one consistent business name, a real address, a stable identifier in your structured data, and the same facts about you repeated the same way everywhere. Ambiguity here is why an engine will describe a competitor instead of you.
Why it diverges
Where GEO and SEO pull apart.
Classic search rewards a page that is authoritative overall and forgives a great deal of presentation. Answer engines are far less forgiving about how content is delivered. Most of them do not execute JavaScript when they fetch a page, so a site that renders its content client-side can rank respectably on Google and arrive at an assistant as an empty shell.
The other divergence is freshness and provenance. A link-rich page with no author, no date and no sources can still rank; an engine deciding what to cite treats those absences as reasons to prefer someone else. That is why trust signals carry weight here that a purely ranking-focused audit would not give them.
The five modules on this page score those differences directly. The classic-search half is scored on the main report card, and the full weighting is on the methodology page.
Ready?
Ready to find out?
The free AI search scan grades your homepage. Want monthly tracking, deeper scans, or hands-on fixes?
By the numbers
How the AI-search half is weighted.
AI search accounts for 45% of the overall grade; classic SEO accounts for the other 55%. Within that 45%, the five modules carry these weights on a standard page. A grade of 90% or above is an A, 75% a B, 60% a C and 40% a D.
| Module | What it asks | Weight |
|---|---|---|
| Entity clarity | Can a machine tell who you are? | 12% |
| Citability | Is there anything quotable? | 12% |
| Topical authority | Is the subject covered in depth? | 8% |
| AI accessibility | Can it be read without JavaScript? | 8% |
| Trust signals | Author, dates, sources? | 5% |
Questions
Common questions.
Does my site need to rank on Google to be cited by ChatGPT?
No. Answer engines build their own view of a page and frequently cite sources that are not top-ranked results. A clearly written, well-structured page with checkable facts can be quoted while a higher-ranking competitor is ignored, which is why the AI-search half is scored separately from classic SEO.
Why does JavaScript rendering matter so much here?
Most answer engines fetch a page without executing JavaScript. A site that assembles its content client-side arrives as an almost empty document, so it can rank respectably on Google — which does render — and still be unusable to an assistant. This is the single most common reason a healthy-looking site scores badly on AI accessibility.
How often should AI visibility be re-checked?
Monthly is enough for most sites. Answer engines change what they favour without notice and re-crawl on their own schedule, so a score is a snapshot rather than a fixed property. The GEO Monitor plan re-runs these five modules every month and emails you when the score drops.
Is llms.txt worth adding?
It is cheap and it does no harm. It is a plain-text summary of what a site is and where its important pages are, served at /llms.txt for AI crawlers. Adoption is still uneven across engines, so treat it as a small hedge rather than a fix — this site publishes one.
Read next
The guides.
Everything above in longer form — what the engines actually do, and what to change first.
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What generative engine optimization actually is
The practice of making a page easy for an AI answer engine to quote, and how it is measured.
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GEO and SEO: what is different, what is the same
Search optimization wins a click; generative optimization wins a citation. Where they overlap and where they pull apart.
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Why your business does not appear in AI answers
Usually not a ranking problem. An engine has to work out who you are before it can name you.
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How to check whether an AI assistant can cite your site
Two different failures: the assistant cannot read the page, or it reads it and finds nothing worth quoting.
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Which schema types actually matter for AI citation
The ten types we validate, the properties required on each, and why markup moves more of the grade than one module.
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llms.txt: what it is and whether you need one
A plain-text summary of your site for AI crawlers. What it does, what is still unproven, and what we would do first.