EDITIONS
What is GEO (Generative Engine Optimization)?
GEO is the work of getting retrieved and cited as a source by generative search systems.
German original By SEESZNDeutsche Fassung
01
How generative search works
Generative systems break a prompt into a fan of sub-queries (query fan-out): comparisons, alternatives, prices, reviews. Each path is answered from its own sources, and the results are assembled into a single answer.
A brand can dominate the visible search query and still be completely absent from the fan of sub-queries that feeds the answer.
FigureFrom prompt to generated answer
PromptA question about the category
- Sub-QueryComparisons
- Sub-QueryAlternatives
- Sub-QueryPrices
- Sub-QueryReviews
- Your brand is missing here
SynthesisThe sources are assembled into one answer
AnswerA generated answer, with citations
02
What GEO actually involves
- Query fan-out mapping: knowing the hidden search paths of a category
- Citable content: one statement, one passage, able to stand alone
- Entity building: a clear, consistent, verifiable brand
- Source gap analysis: finding the surfaces that models trust
Questions
Frequently asked questions
- What does GEO stand for?
- GEO stands for Generative Engine Optimization: optimizing to be cited as a source by generative AI search systems.
- Is GEO the same as AEO?
- AEO (Answer Engine Optimization) is often used as a synonym. Both describe optimizing for answer systems. GEO puts the emphasis on the generative nature of the answer.
- Does GEO replace classic SEO?
- No. GEO builds on SEO. A clean search architecture is the precondition for being retrieved at all.