Visus Dictionary
Generative engine optimization (GEO)
Generative engine optimization (GEO) is the practice of improving pages and entities so generative AI systems can retrieve, summarize, and cite your business in answers.
Why it matters
GEO addresses answer engines where there is no #1 blue link—only synthesized text and occasional citations.
How Visus measures it
Visus treats GEO as part of AI visibility: audit rubric plus optional monthly mention/citation sampling on Pro.
Benchmark insight
In Visus’s 2026 benchmark of 57 completed public brand homepages, scores ranged from 8 to 95; international brands averaged 46.2/100 vs 64.6 for Liverpool local sites.
Example
A GEO pass on a services page might add an FAQ block, expose pricing as text, add Organization schema, and link independent proof—so an assistant can retrieve a clean, sourced summary instead of guessing.
Common misconception
GEO is not a trick to force citations. There is no meta tag or schema type that guarantees an assistant quotes you. It is the ordinary work of making facts clear, extractable, and corroborated—then measuring whether answers change.
Related terms
FAQ
- Does GEO replace SEO?
No. Many teams keep SEO and add GEO-style checks where AI recommendations influence revenue.
- How is GEO different from AEO?
They overlap heavily. GEO emphasises being retrieved, summarised, and cited by generative systems; AEO emphasises being chosen as the single answer. In practice the on-page work—clear entities, quoteable facts, schema, proof—is the same.
- Can I measure whether GEO is working?
Yes. Track mention rate and domain citation rate on a frozen query pack over time. If they rise after your changes, your GEO work is landing; a flat line says revisit clarity and corroboration.
Cite this definition
Visus AI Visibility Dictionary. “Generative engine optimization (GEO).” https://getvisus.com/ai-visibility-dictionary/generative-engine-optimization
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