AEO

Generative Engine Optimization (GEO)

Also known as: GEO

What is Generative Engine Optimization?

Generative Engine Optimization is optimizing content to appear in and influence AI-generated answers from tools like ChatGPT, Gemini, and AI Overviews.

Generative Engine Optimization (GEO) is the discipline of increasing how often, and how favorably, your brand and content appear inside AI-generated answers. It overlaps heavily with Answer Engine Optimization; GEO tends to emphasize brand presence and share-of-voice across generative results, while AEO emphasizes the page-level formatting that earns a citation.

GEO tactics include getting mentioned on the third-party sources answer engines trust (reviews, comparisons, roundups), publishing quotable statistics and definitions, maintaining consistent entity information across the web, and monitoring which prompts surface your brand versus competitors.

Because generative answers synthesize many sources, GEO is measured differently from rankings: instead of a position, you track citation frequency and sentiment across a set of representative prompts over time.

Why it matters

A growing share of searches end in an AI-generated answer, not a click — GEO is how you stay present in that answer.

Generative Engine Optimization — FAQ

Is GEO the same as AEO?

They overlap. AEO focuses on page-level, answer-first formatting and schema that earn a citation; GEO focuses on brand share-of-voice across generative answers. Most teams run them together.

How is GEO measured?

By tracking a fixed set of prompts across engines and recording how often your brand is cited and with what sentiment — a citation-frequency and share-of-voice metric rather than a keyword rank.

Can you influence AI answers without controlling the model?

Yes — by improving the sources the model draws from: your own authoritative pages plus the third-party pages (comparisons, reviews, directories) the model trusts for your topic.

Related terms

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