The GEO content checklist: pages AI actually cites

When an AI assistant answers with web search switched on, it does two things in sequence: it retrieves a shortlist of relevant pages, then it extracts sentences from them to assemble the answer. Traditional SEO fought the first battle. GEO fights the second. A page can rank respectably and still never be cited, because nothing on it works as a standalone quote.

The engines do not publish how they select citations, so treat anyone offering a precise formula with suspicion, including us. What can be observed is consistent, though: cited pages tend to answer a question directly, in plain declarative sentences, near the top. Writing for that extraction step is often called answer engine optimisation; our glossary entry on what AEO is covers how it relates to GEO.

Put a two or three sentence answer directly under the H1, before any preamble. If the page is titled 'How long does CE marking take?', the opening paragraph should say how long CE marking takes, with numbers. Context and caveats come after. Journalists call this the inverted pyramid, and it serves AI extraction for the same reason it serves skim readers: the cleanest complete statement wins. A thorough page that buries its answer routinely loses the citation to a thinner page that leads with one.

Sentences that chain qualifications together are hard to quote without distortion. 'Our platform, which has served finance and healthcare clients since 2019, reduces onboarding time significantly' forces an engine either to quote the lot or to cut it apart, and cutting risks changing the meaning. Split it into separate claims: 'Acme was founded in 2019. It serves clients in finance and healthcare. Its median onboarding time is 12 days.'

The test is simple: copy any sentence out of the page on its own and ask whether it still makes sense, and whether it is still true. If a sentence fails either check, rewrite it.

People ask assistants questions, and engines match those questions against page structure. A heading written as the question itself ('Does schema markup help AI citations?') gives retrieval an exact target and gives extraction a labelled answer block. Not every heading needs to be a question. Use the format where a real user query exists, and keep the answer in the first paragraph beneath the heading rather than three paragraphs down.

A 'Last updated' date near the top of the page does two jobs. It signals freshness at retrieval time, and it lets an engine attribute a date when it quotes you, which matters for any query where currency counts. Undated pages force the engine to guess how old the information is, and for time-sensitive questions it will often prefer a source it can date. Put the date in the rendered text, not only in metadata, and only update it when the content genuinely changes.

Numbered steps and simple tables get lifted into AI answers close to verbatim, because the structure carries meaning an engine cannot mangle: step three stays step three. Keep them self-contained. A table needs a clear header row and units inside the cells; a list item should not depend on the paragraph above it to make sense. Avoid tables built from merged cells or screenshots, which crawlers read poorly or not at all.

Engines assemble their picture of your organisation from every page they have seen, and inconsistency degrades that picture. Describe your company in the same one-sentence form everywhere: the same category and the same core claim, on your own site and on your third-party profiles. Add Organization schema (and Product schema where relevant) so machines get the structured version too, and make sure it matches the visible text rather than contradicting it.

In our July 2026 test of 30 brands, 27 were described with at least one materially wrong claim when the AI answered without live web search (full study). When an engine does search before answering, a consistent, crawlable self-description is what displaces the stale claim; if the correct sentence does not exist anywhere, the wrong one stands.

Marketing fluff is not merely unhelpful for GEO; it is unquotable. 'We deliver world-class solutions that transform your business' contains no claim an engine can verify or reuse, so it gets skipped. The same applies to superlatives without evidence ('the UK's leading platform') and to vague scale claims ('trusted by thousands'). Adjectives cannot do the work that numbers should be doing.

Two further habits to drop: locking key facts inside gated PDFs or images, and publishing statistics with no source or date attached. An engine cannot cite what it cannot crawl, and it is rightly cautious about repeating numbers of unknown origin.

Do not assume any of this worked; ask the engines. Our free AI visibility checker queries Claude live with web grounding and shows how your brand is currently described and cited, with ChatGPT, Perplexity, Gemini and Copilot support rolling out. A caveat: we do not yet offer scheduled or daily checks, so re-run it manually after you publish changes. Citation behaviour also shifts as the engines update, so a page that gets cited today is not guaranteed the same treatment in six months.

Print this and run it against your ten most important pages before the next publish.

1. The first paragraph under the H1 answers the title's question in two or three sentences. 2. Every sentence makes one claim and stays true when quoted on its own. 3. Headings that match real user queries are phrased as those questions. 4. Each answer sits in the first paragraph beneath its heading. 5. A visible and accurate 'Last updated' date appears near the top. 6. Steps and comparisons use numbered lists or simple tables with header rows and units. 7. The company is described in the same one-sentence form used across the site. 8. Organization schema is present and matches the visible text. 9. Every statistic names its source and date; unverifiable superlatives are gone. 10. Nothing essential is locked inside a PDF, an image or a form.

None of this rewards tricks. Everything on the list also makes a page easier for a human to read, which is why we expect it to keep working even as engine internals change.