Short answer
Generative engine optimization (GEO) is the work of making your business easy for AI answer tools, such as ChatGPT, Gemini, Perplexity and Google's AI Overviews, to find, understand and cite. The term comes from a research paper first published in November 2023 and accepted at the KDD 2024 conference.Where the name comes from
“Generative” refers to AI tools that write an answer instead of showing a list of links. In GEO: Generative Engine Optimization, Pranjal Aggarwal and five co-authors described it as “the first novel paradigm to aid content creators in improving their content visibility in generative engine responses”. Their tests found that GEO “can boost visibility by up to 40% in generative engine responses”, and that what works “varies across domains” (the paper on arXiv).
What the work involves
- Access: letting the crawlers AI tools use read your site, instead of turning them away by accident.
- Clarity: pages that say plainly what you do, for whom and where, with short answers to the questions people ask.
- Consistency: the same business details on your site, your Google Business Profile and directories.
- Evidence: facts, figures, sources and outside mentions that make you worth citing.
How it relates to SEO
SEO helps you rank in a list; GEO helps you get mentioned in an answer. They share a foundation: Google says “the best practices for SEO remain relevant for AI features in Google Search” (Google Search Central). The longer version is in our article SEO vs GEO: How Search Is Changing for Businesses.
Other names for the same thing
You will also see AEO (answer engine optimization), LLMO (large language model optimization) and “AI SEO”. They overlap almost entirely; agencies use whichever name their clients search for. Our plain-English table says which are genuinely different and which are new labels for the same work.