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GEO and AEO audit checklist generator

Answer seven questions about the site and get a checklist for being found, read and described accurately by search engines and AI assistants, ordered by what to do first. Each item says whether it rests on search engine documentation, a web standard, established practice or a reasonable but unproven hypothesis.

GEO and AEO without the mystique

Generative engine optimisation (GEO) and answer engine optimisation (AEO) describe making a site easy for AI assistants and answer features to find, read, understand and cite. Google says optimising for its AI features is still SEO and needs no special markup or files. Much of this checklist is therefore sound SEO; the rest covers what assistants appear to rely on, such as consistent facts and third-party sources, and is labelled as hypothesis where no provider has documented it.

How the checklist is built

A fixed catalogue of about thirty items is filtered by your answers. A documentation site gets task-structure items and skips comparison pages; a browser-rendered site gets the JavaScript item first; a new site gets sitemap and Search Console items first. The same answers always give the same list.

Priorities are judgement, not measurement: "Do first" items are cheap to check and block everything else when wrong.

Limitations

  • It does not inspect your site. Use the AI crawler checker and AI readiness checker for evidence about specific pages.
  • Priorities are general guidance and may not fit every business.
  • Items marked as hypotheses are plausible but not documented by any AI provider.
  • Ticks are kept only in this browser tab; export the checklist to keep your progress.

Questions

What is the difference between GEO, AEO and SEO?

SEO is about search engines; AEO about answer features such as featured snippets and voice answers; GEO about generative AI answers. In practice they overlap heavily: all of them need crawlable, indexable, clear, trustworthy content.

Do I need llms.txt?

It is not on this checklist. llms.txt is a proposal; Google says it ignores it, and no major AI provider has confirmed using it. It does no harm, but it is not a priority.

How do I know if the work is paying off?

Measure the same buyer questions repeatedly over time, with sample sizes, alongside search and AI referral traffic. Single answers are too variable to judge by.

Can I save the checklist?

Yes: download it as Markdown, copy it, or print it to PDF from your browser.