The AEO Checklist: How to Get Cited by ChatGPT, Perplexity and Google AI

An AI system has to find and parse a page before it can cite it. That means a clean, crawlable HTML structure, a direct answer near the top of the page rather than buried under a long introduction, and one clear subject per page instead of several topics competing for the same URL.

Write the core answer as a sentence that could be lifted and quoted on its own: state the fact or recommendation first, then support it. Retrieval systems favor content that answers the implied question quickly over content that builds up to it.

Use real semantic headings (H2/H3, not styled paragraph text) that match the sub-questions a reader — human or model — would actually ask. Short paragraphs, defined lists and comparison tables extract far more reliably than long unstructured prose.

Put the freshest, most specific facts near the top of each section: numbers, dates, named entities, concrete steps. Vague, generic phrasing gives a model nothing distinctive to quote, so it will default to a competitor's page that says the same thing more precisely.

Article, FAQPage, Product and Organization schema give a model an unambiguous, machine-readable description of what the page is, who wrote it and when it was published. This does not guarantee a citation, but it removes one class of ambiguity that can push a model toward a clearer competing source.

Keep schema accurate and current — a mismatch between the visible page and its structured data is a trust signal in the wrong direction. Validate markup after every template change, not just at launch.

AI systems weigh authorship, sourcing and specificity when choosing what to cite. A visible author, a publish and update date, named sources for claims, and evidence of first-hand experience (data, screenshots, a described process) all separate a page worth citing from generic filler covering the same topic.

Third-party corroboration matters too: if the same facts appear only on your own domain and nowhere else credible, a model has less reason to treat them as established. Getting mentioned on relevant, higher-authority third-party pages supports citation even when it does not link back.

Most AEO advice stops at "explain the topic clearly." The pages that actually get cited in comparison and recommendation prompts also answer the follow-up questions: how does this compare to the alternative, what does it cost, what are the trade-offs, who is it not a good fit for.

A page that only defines a term rarely wins a citation in a buying-decision prompt — a page that also honestly addresses trade-offs does, because it gives the model a complete answer instead of half of one.

A checklist is a hypothesis until it is measured. After shipping changes, run the same prompts you were tracking before and compare mentions, citations and the specific cited URL — not just whether the brand appeared, but whether the updated page is the one doing the work.

AI Control's AEO Audit pairs this checklist with per-page signals and lets you re-run the same prompt set after a change, so a citation gain can be attributed to the page you actually edited instead of assumed from a general visibility bump.