Generative engine optimization (GEO) is making web content more likely to be found, used and cited by AI search tools that write answers from many sources.
In plain words
Search engine optimisation aims for a high spot in a list of links. AI search engines instead combine several sources into one written answer, so creators have little control over whether and how they appear. GEO studies what helps content get cited. Google says no special tricks are needed for its AI features; normal good SEO practice still applies.
A quick example
Imagine a cooking site rewrites a guide so each section answers one clear question, cites its sources and states key facts plainly. The hope is that when people ask an AI search tool about that topic, the page is more likely to be quoted and linked in the answer. GEO research tries to measure which changes like these actually help.
Where you'll meet it
- Publishers and brands adapting to AI search.
- Research on how AI answers pick their sources.
Related
Sources
- PaperGEO: Generative Engine Optimization, Aggarwal et al. (arXiv) · read 29 Sept 2026
- DocsAI features and your website, Google Search Central · read 29 Sept 2026
Checked by WhatIsAI against the sources above · 29 Sept 2026. Spotted an error? Report it.