AEO and GEO are two terms people use to describe optimization for search experiences that provide answers, summaries, and generated responses.
AEO usually means answer engine optimization. GEO usually means generative engine optimization. The language is new, but many of the underlying practices are familiar.
What AEO focuses on
Answer engine optimization is about making content easy to use in direct answers. That often means writing clear explanations, answering common questions directly, and structuring pages so important facts are easy to extract.
Good AEO work values clarity over cleverness.
What GEO focuses on
Generative engine optimization is about how content may be found, interpreted, cited, or summarized by AI-powered systems.
Useful GEO practices include:
- Clear definitions.
- Evidence and examples.
- Well-structured headings.
- Consistent entity names.
- Helpful context around claims.
What has not changed
AI search does not remove the need for useful content, crawlable pages, strong information architecture, or trusted sources. If anything, it makes clarity more important.
The practical goal is the same: publish content that is accurate, understandable, and easy for systems and people to connect to a real question.