# Generative Engine Optimization (GEO)

## Quick answer

Generative engine optimization (GEO) is the practice of shaping a brand's online presence so AI answer engines like ChatGPT, Claude, Gemini and Perplexity cite, recommend or describe it accurately when someone asks a buying question. It covers how those engines read a brand's site, docs, reviews and third-party mentions, not how a search results page ranks it.

## Why it matters

Buyers increasingly ask an AI assistant to compare tools before they open a search engine at all. If a brand never comes up in that answer, or comes up described wrong, it loses a sale before a human ever sees a website. GEO matters because the inputs an AI engine draws on (a brand's own pages, its documentation, and what other sites say about it) are different from classic SEO inputs, and a brand can rank well on Google while being invisible or misrepresented inside an AI answer.

## How to measure it

Measuring GEO means running the same buying questions a prospect would ask through each AI engine on a schedule, then recording whether the brand is mentioned, how it is described, which competitors appear alongside it, and which sources the engine's answer leans on. A single manual check tells you the state on one day; a repeated check across engines and questions is what shows whether a change (a new comparison page, a fixed doc, a new review) moved the answer.

## Example

A project-management tool asks "best tools for remote team task tracking" across four AI engines once a week. One engine never mentions the brand at all; another names it third behind two competitors, citing a three-year-old review as its source. Neither fact would show up in Google Search Console, but both are visible the moment the same question is tracked as an AI answer instead of a search ranking, and both point at a different fix: the first needs the brand to exist anywhere the engine reads from, the second needs a newer, more favorable source for the engine to cite instead.

## FAQ

### Is GEO the same as SEO?

No. SEO optimizes for a ranked list of links on a search results page; GEO optimizes for how an AI engine summarizes and cites a brand inside a generated answer, which draws on different and often narrower sources.

### Which AI engines does GEO apply to?

Any generative answer engine a buyer might ask, most commonly ChatGPT, Claude, Gemini and Perplexity. MarketHQ tracks brand mentions across six AI engines on paid plans.

### Can a small brand do anything about GEO?

Yes. Accurate, specific product pages and comparison pages, and getting named correctly on the third-party sites an engine already cites, both measurably change how a brand is described in AI answers over time.

### How often should GEO be checked?

Weekly is enough to catch drift for most brands; AI engines retrain and re-crawl on their own schedules, so daily checks rarely show new information that a weekly check would miss.

## Related terms

- /glossary/answer-engine-optimization
- /glossary/share-of-voice

## Related

- Compare: /compare
- AI visibility use case: /use-cases/for-ai-visibility