GEO — Generative Engine Optimization
How visibility inside generative AI answers works, and how to benchmark and improve it.
GEO focuses on your overall presence and accuracy inside generative AI answers — a broader question than AEO's focus on your own content structure. It asks: when someone asks an AI system about your category, do you appear, and is what's said about you accurate?
How generative engines choose sources
Generative engines draw from a blend of indexed content, structured data, and — increasingly — real-time retrieval. Being part of that source material depends on authority, clarity, and consistency across everything published about your business.
Benchmarking before building
Before investing in content changes, a GEO benchmark establishes where you currently stand: are you cited at all, cited accurately, and how does that compare to competitors in the same query set?
Closing the gap
Once gaps are identified, closing them usually means a combination of content development, entity clarity improvements, and building the kind of citable, structured content generative engines draw from.
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