What is GEO (Generative Engine Optimization)?
GEO (Generative Engine Optimization) is the practice of optimizing content so generative AI engines surface and cite it in their responses, the same discipline also called AEO or RAO.
GEO, AEO (Answer Engine Optimization), and RAO (Retrieval-Augmented Optimization) describe the same practice. The industry has not settled on one term. They all mean optimizing for AI engine citation rather than blue-link ranking.
GEO emphasizes that generative engines synthesize answers from multiple sources, so being citation-worthy (clear structure, extractable facts, schema markup) matters more than ranking in a specific position.
Put the theory to work.
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