GEO vs AEO: what is the difference?
They overlap heavily and are often used interchangeably. The useful distinction: AEO (Answer Engine Optimization) is page-level craft — structuring content so engines can extract and quote it. GEO (Generative Engine Optimization) is the broader program — citations, claim accuracy, competitive positioning, and monitoring across engines. In practice, teams run both as one effort.
AEO's unit of work is the page: question-form headings, a standalone answer up top, structured data, dated facts. Its success test is extraction — does the engine quote your page when the question matches? AEO inherits from featured-snippet optimization and applies wherever answers get assembled, including AI overviews and voice assistants.
GEO's unit of work is the brand's whole answer footprint: which questions you appear in, how accurately you are described, which sources engines cite about you, and whether a competitor is displacing you. AEO is one of GEO's levers, alongside third-party citation building and scheduled monitoring.
Terminology is still settling — you will also see AI SEO, LLM SEO, and answer engine marketing describing roughly the same territory. Do not over-index on the label; the work is the same: make correct facts easy to extract, earn independent corroboration, verify what engines actually say.
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Last updated: 2026-07-24