What is Answer Engine Optimization?
Answer Engine Optimization (AEO) is the practice of optimizing content to be selected as the direct answer by systems that answer questions rather than list links — featured snippets, voice assistants and AI answer engines. The term overlaps heavily with GEO; AEO emphasizes answer formats broadly, while GEO focuses specifically on generative AI engines and citation share.
Answer Engine Optimization (AEO), explained.
AEO predates the LLM era — featured snippets and voice search were its first battlegrounds — and its core techniques carry straight into GEO: answer the question in the first sentence, match the question's phrasing in headings, use lists and tables where the answer is structured, and mark it all up with schema.
In practice most teams treat AEO and GEO as one discipline with two vocabularies. What matters is the operating principle: publish content shaped like answers, then measure whether engines actually use it.
- Question-shaped content wins snippets, voice answers and AI citations alike.
- One content discipline now serves search, voice and generative engines.
- Direct-answer formats are also simply better for human readers.
Asked and answered.
AEO vs GEO — which term is correct?
What's the single most important AEO technique?
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