GEO: Generative Engine Optimization

What GEO means

Generative Engine Optimization is making your content easy for AI answer engines, such as ChatGPT search, Perplexity and Google's AI Overviews and AI Mode, to find, use and cite. SEO gets a page into a list of links. GEO is about getting a sentence from that page into the answer itself, ideally with a link back to you.

Google does not treat it as a separate discipline: its own guide says optimizing for generative AI search is still SEO.

Where the term comes from

The term comes from a 2023 paper by researchers at Princeton University and IIT Delhi, presented at KDD 2024. They built a benchmark of 10,000 queries, gave a model five source pages for each one, rewrote one source in nine different ways and measured how much of the answer drew on it.

Adding quotations, adding statistics and citing sources worked best, with quotations raising a source's share of the answer by roughly 40%. Keyword stuffing did little better than changing nothing.

What later research changed

Those gains held only for a page that was already among the five sources. A 2026 review of 45 GEO studies found the original result valid in that setting but not as a general promise, and concluded that topical relevance and position are the most reliable levers.

A SIGIR 2026 study of 252,000 trials across six AI models agreed: relevance and position decided which source was cited first, explicit prices and recent dates helped, and formatting-only edits did little.

Another 2026 study ran the whole pipeline, from search to citation, and found that rewriting page text for AI made pages slightly less likely to be retrieved and cited. A page that is not retrieved cannot be quoted, however well it is written.

What Google says

In May 2026 Google published its own guide to generative AI in Search. AI Overviews and AI Mode retrieve pages with Google's normal ranking systems, often running several related searches for one question, then write an answer and link to the pages it used. To be eligible, a page must be indexed and allowed to show a snippet.

Google says you do not need llms.txt files, special AI markup, content split into chunks, rewrites for AI or schema beyond what you already use, and warns that no third-party tool has access to its AI ranking systems.

What is worth doing

Start upstream. Make sure key pages are indexed, fast and not blocked from the crawlers you want, including OAI-SearchBot if you want to appear in ChatGPT search.

Then make each page plainly relevant: say what it answers near the top, in the words a customer would use. Back claims with something checkable, such as a real figure with its source, a price, a date or first-hand experience nobody else has. Update content when facts change, not just the date.

Skip the shortcuts: keyword stuffing, pages mass-produced for every variation of a question and invented brand mentions either do nothing or count as spam.

Where checklists fit

Every GEO checklist, ours included, is an interpretation rather than a formula. VuloPilot checks six signals on each page: a clear summary near the top, coverage of the questions people ask, evidence for claims, readable structure, consistent names for your brand and products, and freshness.

Use a checklist like this to find pages missing the basics, not as a score to chase. A higher score means a page is easier to understand and quote. It does not guarantee a citation.

How to measure it

Use Google's own data first: Search Console now has a generative AI performance report showing impressions in AI Overviews and AI Mode, rolling out to sites in stages.

For ChatGPT, Claude, Gemini and Perplexity, write down the questions your customers ask and ask each engine regularly. Answers vary from run to run, so researchers suggest asking each question seven or eight times, in three to five phrasings, before drawing conclusions. AI crawler visits in your logs show a page was fetched, not that it was cited.