Generative engine optimization (GEO)
Generative engine optimization (GEO) is the practice of making content usable and citable by systems that generate answers rather than list links: clear claims, sources, visible dates and authors, and original data.
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Generative engine optimization (GEO) is the practice of making content usable and citable by systems that generate answers rather than list links. It focuses on what a generated answer can quote: a direct statement near the top, specific claims with sources, visible dates and authors, and something original that no other page offers.
GEO compared with SEO and AEO
- SEO earns a ranking position for a page.
- AEO starts from the question map and builds answer-first pages.
- GEO starts from the evidence inside the page: is each claim specific, sourced and quotable?
The three overlap; a page can need all of them.
What GEO work looks like
A citability audit of priority pages (which passages could be lifted as they stand, and which are vague, unsourced or buried), rewrites that put the claim first and link its source, a plan for original elements such as data or worked examples, and monthly tracking of which sampled prompts cite the pages.
What it cannot do
No one can make an engine cite a page. GEO raises the chance that, when a page is retrieved, it is quotable. We measure the result as a sampled citation rate, never as a promise.
Sources
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Generative Engine Optimization
Make your content more usable and citable in generated answers: clear claims, sources, original data and structure.
Learn more about Generative Engine OptimizationRead: How to measure AI visibility without the engines' data: a sampling method