Glossary · AI search terms

What Is GEO (Generative Engine Optimization)?

GEO (Generative Engine Optimization) is the discipline of making your brand visible, correctly described and recommended inside AI-generated answers from ChatGPT, Perplexity, Gemini and AI Overviews.

Definition

Generative Engine Optimization (GEO) is the practice of improving how your brand, products and content appear inside answers generated by large language models — ChatGPT, Perplexity, Gemini, Google AI Overviews and their peers. Where classic SEO fights for a position on a list of blue links, GEO fights for a mention inside the single synthesized answer a buyer actually reads.

Why it matters

Buyers increasingly ask AI engines what to buy before they ever open a search engine. If the engine names your competitor and not you, that sale is gone — and no analytics tool will show it. GEO exists because the channel is real, growing, and plays by measurably different rules than classic SEO: brand mentions across the web, third-party citations, structured data and freshness outweigh keyword density and raw link counts.

What to do about it

Frequently asked questions

Is GEO the same as SEO?

No. SEO ranks pages on a results list; GEO earns mentions inside a single generated answer. They share some foundations (authority, relevance) but the weighting differs — third-party mentions and citations matter far more in GEO.

Can you guarantee GEO results?

No. The field is young and engines change weekly. Anyone promising guaranteed AI rankings is selling snake oil. What you can do is measure honestly, improve the known levers, and re-check on a schedule.

Measure it, don't guess it.

Run a free LLM visibility check — see how AI answer engines treat your brand today, in about a minute.

Run Free Check →

Related terms: AEO · AI Overviews · Share of Model · llms.txt · All terms