# What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of structuring a brand's content and off-site signals so that AI systems like ChatGPT, Perplexity, Gemini and Google AI Overviews cite and recommend it when generating answers to buyer questions.

## How it works

Traditional search returns a ranked list of links and lets the user choose. Generative engines return a single synthesised answer that names a handful of sources. GEO is the work of becoming one of those named sources: making content retrievable, quotable, and trusted by the retrieval systems that feed the model.

In practice it spans three layers. The first is making pages machine-legible, through clean structure, schema markup, and answer-lead formatting. The second is making claims extractable, through self-contained definitions, statistics, and proof-pairing. The third is making the brand trusted off-site, through unlinked mentions and authority signals. It is measured in citations, not rankings.

## GEO vs SEO vs AEO

SEO optimises to rank a link in a results page. GEO optimises to be named inside a generated answer. AEO (Answer Engine Optimization) is often used interchangeably with GEO; where a distinction is drawn, AEO refers narrowly to winning direct-answer features, while GEO covers the full system of being cited across generative engines.

## Why it matters for B2B

B2B buyers increasingly ask an AI assistant which vendor to use, then act on the names it returns. In rawmktg's analysis, [73% of B2B procurement managers already use ChatGPT, Claude, or Perplexity for vendor discovery](/blogs/geo-compounding-flywheel). The vendors named in the answer get the shortlist. The rest get no second look.

**Common mistake**

Treating GEO as SEO with schema bolted on. The on-page layer makes you eligible, but GEO also turns on off-site trust. With 73% of B2B procurement managers already using AI for vendor discovery, the brands that win are the ones the wider web vouches for, not just the ones with clean markup.

*Source: https://rawmktg.com/glossary/generative-engine-optimization · rawmktg. by Vinayak Ravi*