Free GEO Audit Tool
Generative engine optimization happens one page at a time. See the six page-level signals that decide whether an AI engine can quote you — then get your brand's free AI visibility report.
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A GEO audit reviews a single page for the six signals that decide whether an AI engine can quote it: one clear H1, a direct first paragraph, question-style headings, a marked-up Q&A block, cited sources, and explicit entity information. MaxAEO pairs the page-level checklist with a free report showing which pages AI engines actually cite in your category.
What the report shows
Sample: slack.com/features/channels (single page) · hand-checked 2026-08-31
50 / 100 · sample scoring: pass 1 · improve 0.5 · missing 0
- Pass
Does the page have a single clear H1?
One <h1> on the page: “Work without limits in Slack”.
Fix: Keep it; an H1 that names both the feature and the product anchors the page's entity.
- Pass
Does the first paragraph answer directly?
Hero paragraph answers in 24 words: “Channels bring the right people and information together. Align on any topic, share collective knowledge…”
Fix: Keep it; a self-contained opening like this is exactly what AI engines quote.
- Missing
Are key headings phrased as questions?
Section H2s are slogans — “Now everyone's a builder”, “Secure. Searchable. Smart.” — none phrased as a question a buyer would ask.
Fix: Rephrase key H2s as questions (“What is a Slack channel?”) so each section maps to a query.
- Improve
Is there a Q&A block with markup?
A “Frequently Asked Questions” section exists, but without FAQPage markup AI engines must parse it as plain text.
Fix: Add FAQPage structured data to the existing block — content is done, markup is the missing half.
- Missing
Do the page's claims cite sources?
All 15 external links are social or infrastructure (facebook.com, cloudfront.net, slack-status.com); no claim on the page cites a source.
Fix: Back the strongest claims with two or three linked references — cited facts become quotable facts.
- Improve
Is the entity information explicit?
og:site_name and og:title are set, but there is no Organization or Product JSON-LD on the page.
Fix: Add Product JSON-LD naming the feature, the company and the category so models stop inferring them.
What's in your free report
- Your brand's AI visibility across 8 AI engines, with the answers and citations behind it
- The competitor and community pages AI engines cite for your category — the pages your own pages have to beat
- An action plan that names which questions lack a citable page of yours
- The page-level audit checklist on this page: single H1, direct first paragraph, question-style headings, Q&A blocks, sources and entity information
Compared with other ways to check
| Asking the engine yourself | Traditional SEO tools | GEO Audit Tool | |
|---|---|---|---|
| Coverage | Reading your own page and guessing | On-page scores tuned for keywords | Six passage-level signals AI engines lift from |
| Repeatability | Depends on who reviews it | Word counts and keyword density | Same audit, page after page |
| Competitor context | None | Competitor keywords, not competitor citations | Checked against the pages AI engines cite instead of yours |
| Sources | Opinions | Generic readability advice | A concrete edit per failed check |
How do you audit a page for generative engine optimization?
AI engines do not quote pages; they quote passages. When an engine assembles an answer, it lifts the paragraph that answers the question most directly and attributes it — the rest of the page might as well not exist. That is why a site can pass every site-level check and still never be cited: its pages bury the answer under three screens of narrative, or phrase headings as slogans no one would ever ask. A page-level GEO audit judges one page the way a retrieval system does, passage by passage.
The six signals form a checklist you can apply to any draft in ten minutes. One H1 that names the subject. A first paragraph that answers within 60 words instead of building suspense. Headings phrased as the questions buyers ask. A Q&A block carrying FAQPage markup so the engine knows which text is an answer. Claims that cite sources, because attributed facts are quotable facts. And explicit entity information — company, product, category — so a model mid-page knows who is speaking. The slack.com/features/channels sample above scores 50/100 against this list: a strong opening, then slogan headings and an unmarked FAQ.
The workflow that works: audit before publishing, not after. Rewrite the opening to answer directly, convert two or three headings into questions, add sources to your strongest claims, then ship. The free visibility report closes the loop — its citation list shows whether AI engines have started quoting the page, and which competitor pages still own the questions you want. Iterate one page at a time, starting where rivals get cited and you do not.
Who this is for
Content teams
Know what to change in a draft before publishing, not after AI engines have ignored it.
SEO / GEO leads
Standardize a page-level review your writers can run themselves.
Agencies
Audit a client's key pages against the pages AI engines actually cite.
Frequently asked questions
The site-level check asks whether AI engines can reach and understand your site at all — bot access, structured data, speed. The page-level audit asks whether a specific page gives an AI engine something worth quoting: a direct answer near the top, clear headings, a question-and-answer block, sources. A site can pass the first and still have pages that never get cited.
A self-contained passage — usually 40 to 80 words — that answers one question completely without depending on the sentences around it. AI engines lift passages, not pages, so a paragraph that starts with the answer ('X costs $Y per month and includes Z') is far more likely to be quoted than one that builds up to it. The audit checks whether your first paragraph and each section opening qualify.
Ask whether a reader arriving mid-page could tell, within a sentence, which company and which product the page is about and what category it belongs to. Concretely: the brand name in the H1 or first paragraph, a one-line definition, Organization or Product structured data, and consistent naming throughout. Pages that assume the reader already knows who you are read as ambiguous to a model.
Because most AI answers are responses to questions, and a heading phrased as the question followed by a short direct answer is the easiest possible match. FAQ sections marked up with FAQPage structured data go a step further by telling the engine explicitly which text is the answer. The audit checks for both the pattern and the markup.
Yes, for two reasons. Pages that cite numbers, studies or named sources read as more reliable to models that weigh evidence, and the specific facts you cite become quotable claims with attribution. The audit counts outbound references and checks whether your key claims carry a source; the fix is usually adding two or three links to primary data.
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