If you've spent any time in SEO circles recently, you've heard both AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) used to describe roughly the same thing: optimizing your content for visibility in AI-generated responses. So which term should you use? And is there any practical difference between them?
The origin of each term
AEO emerged from the realization that modern AI systems — ChatGPT, Perplexity, Claude — are fundamentally answer engines. They don't return lists of links; they generate direct answers. Optimizing for these systems is therefore Answer Engine Optimization.
GEO emerged from the academic side, first appearing in research papers studying how generative AI systems retrieve and use web content. It emphasizes the generative nature of the AI's output process.
Why they're the same
In practice, AEO and GEO describe identical strategies: create authoritative, structured, well-cited content that AI models will use as sources when generating responses to relevant queries. The tactics are the same, the metrics are the same, and the outcomes are the same.
We prefer AEO because "answer engine" more accurately describes how users experience these systems. When someone uses ChatGPT, they're interacting with an answer engine — a system designed to give direct answers to questions. The "generative" framing emphasizes the technology over the user experience, which is the wrong mental model for a marketing discipline.