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What is generative engine optimization (GEO)?

GEO is a related concept focused on optimizing content for generative AI systems. AISO is broader.

Definition

GEO is the practice of optimizing content so that generative AI systems—mostly LLM-driven answer engines—cite or include your content when answering user questions.

Where it fits

GEO is a useful concept, but it’s narrower than the problem most brands face. AISO covers product data, structure, retailer surfaces, and selection dynamics across every system that decides what gets recommended.

How they relate

Think of GEO as one input within AISO. Optimizing for citation matters—but only when paired with structured product data, retailer alignment, and selection-stage eligibility.

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