What is GEO (generative engine optimization)?
GEO, or generative engine optimization, is the practice of making your brand and content more likely to be retrieved, quoted, cited and recommended by generative Ai engines such as ChatGPT, Gemini, Perplexity, Claude, Copilot and Google Ai Overviews.
- The term comes from a 2023 research paper presented at the KDD 2024 conference.
- That research found adding sources, quotations and statistics lifted visibility by up to about 40%, while keyword stuffing didn’t help.
- GEO works on four levers: content, entity clarity, off-site reputation and technical access.
- Success is measured by mentions, citations and recommendations, engine by engine.
GEO in one paragraph
Traditional search shows a list of links. Generative engines write an answer, often naming a handful of businesses or products and citing the pages they used. GEO is about being one of those names and one of those sources. It borrows heavily from SEO (you still need to be crawlable and trusted) and from AEO (you still need clear answers), but its unit of success is different: not a ranking, but a mention, a citation or a recommendation inside an Ai answer.
Where the term came from
“Generative Engine Optimization” was introduced in a 2023 research paper by researchers from Princeton University and IIT Delhi, later published at the ACM KDD 2024 conference. The authors built a benchmark of 10,000 queries across many topics and tested how different content changes affected how visible a source was in generated answers.
Their headline finding: methods such as adding citations to credible sources, adding relevant quotations and adding statistics increased visibility by up to roughly 40%. Keyword stuffing, the old SEO trick, did not improve visibility on their main measure. The lesson holds up: engines favor content that sounds specific, evidenced and trustworthy.
How generative engines build an answer
- Understand and expand the question. The engine rewrites the prompt into one or more searches, often covering related sub-questions.
- Retrieve candidates. It pulls pages from a search index (its own, Bing’s or Google’s, depending on the engine).
- Select passages. It picks the passages that answer each part of the question from sources it judges reliable.
- Write and cite. It composes an answer, names the brands that fit and links to some of the sources.
Our guide to how Ai engines choose sources goes deeper on each step.
The four levers of GEO
- Content. Answer-first pages for the questions buyers ask, with specifics: prices or ranges, timelines, comparisons, data and named sources.