Generative Engine Optimization (GEO) is the practice of optimizing a brand’s information and content so generative AI systems can retrieve it, verify it, and cite it when producing answers. GEO emphasizes machine-readable clarity: strong entity identity, entity-linked structured data (JSON-LD), knowledge graph alignment, and answer-first content that’s easy to quote accurately.

In industry usage, GEO often overlaps with terms like Answer Engine Optimization (AEO) and broader “AI visibility” work. At Growth Marshal, we treat AI Search Optimization (ASO) as an umbrella label for the same core objective: being the named, citable recommendation inside AI-generated answers.