What is the difference between AEO and GEO?
What is the difference between AEO and GEO?
AEO stands for Answer Engine Optimization and focuses on getting direct answers from answer engines, especially in short and immediate results. GEO is broader and deals with optimization for generative engines, which produce articulated answers using multiple sources.
In other words, AEO tries to win the single answer, while GEO aims to become a source cited by AI in the generated text. Both strategies require clear and well-structured content, but GEO tends to work more on authority, semantic comprehensibility and citability. They are related concepts, but not identical.
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AEO and GEO in practice: two examples
AEO example: a user searches "how much does a website cost" and Google shows, above the results, a box with the direct answer extracted from a page. Whoever wrote that page wins position zero: their content is the answer, with the link attached.
GEO example: the same user asks ChatGPT "how much does a website for a small business cost?". The model generates an articulated answer citing two or three sources: whoever does GEO works to be among those sources, cited by name inside the text of the answer. The difference is where and how visibility materializes.
Are both really needed?
Yes, because they cover different surfaces of the same search: AEO takes care of Google's answer boxes (featured snippets, People Also Ask, voice), GEO takes care of the answers generated by ChatGPT, Gemini and Perplexity. The audience is the same, just spread across different tools.
The good news is that the foundations are shared: clear content, verifiable data, orderly structure and authority serve both. A good editorial strategy built this way covers AEO and GEO together, with targeted adaptations for each surface.
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Explore the other aspects of Generative Engine Optimization: what it is, how the strategy works, the differences from SEO and AEO, and how to choose an agency.
Written by
Marco Modonesi
Co-Founder of AImpeto
SEO and GEO expert with over 17 years of experience in digital marketing. Marco helps businesses get found and cited by artificial intelligence, combining strategy, content and automation.
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