What is Generative Engine Optimization?

Generative Engine Optimization (GEO) is the practice of earning citations and recommendations inside AI-generated answers — across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews — the way SEO earns rankings in traditional search results. GEO combines structured data, entity clarity, answer-ready content and measurable share-of-voice tracking.

In plain terms

Generative Engine Optimization (GEO), explained.

When someone asks an AI engine a question, the answer synthesizes a small number of sources and often names or links them. GEO is the discipline of becoming one of those sources: making your content machine-readable, your claims quotable and your brand a recognized entity the engine trusts.

Unlike traditional SEO, where position 8 still earns clicks, AI answers are winner-take-most — a handful of citations capture the entire query. That makes early, deliberate GEO work unusually durable.

Why it matters

AI-assisted research now shapes buying decisions before a website is ever visited.
Answers cite few sources — being excluded means being invisible for that query.
Most competitors don't measure AI visibility yet, so early positions are cheap.

GEO services

Common questions

Asked and answered.

Is GEO replacing SEO?

No — it extends it. Strong SEO signals feed AI citation decisions, so the disciplines compound. GEO adds engine-specific measurement, deeper structured data and answer-format content that classic SEO ignores.

How do you measure GEO?

By tracking AI share of voice: running a fixed set of buyer-relevant queries against each engine on a schedule and logging how often your brand is mentioned, cited or recommended.

Related terms
AI Share of Voice AI Citation Answer Engine Optimization (AEO)

Put it to work

See where your brand stands today.

The free audit shows your Google visibility and how often AI engines recommend you by name.

Run a free audit Ask Glenn directly