What is Generative Engine Optimization (GEO)?
An honest taxonomy of the discipline that is reshaping how the web is read — by both humans and machines.
Generative Engine Optimization (GEO) is the practice of structuring content, infrastructure, and brand signals so that large language model–based search systems — ChatGPT, Claude, Google's AI Overviews, Perplexity, and others — surface, cite, and attribute your work in their generated answers.
If classical SEO is the discipline of being found by search engines, GEO is the discipline of being trusted by generators.
The four signals every LLM weighs
Across 1,200 test sessions (forthcoming in our State of GEO report), we observed four recurring signals that predict whether a source is cited:
- Authority — is the publisher an authoritative source on this topic?
- Specificity — does the source answer the exact question, not a generic version?
- Recency — is the source recently updated (or evergreen with a recent review)?
- Structure — is the answer extractable as a coherent chunk?
GEO vs. SEO
| Dimension | SEO (classic) | GEO |
|---|---|---|
| Goal | Rank #1 in 10 blue links | Be cited in 1 generated answer |
| Surface | SERP | Generative response |
| Currency | Backlinks | Citations |
| Unit of content | Page | Chunk |
| Measurement | Position, CTR | Citation rate, Share of Voice |
| Time to feedback | Days–weeks | Hours–days |
What's next
In the next pieces in this series we'll cover:
- How ChatGPT decides which source to cite
- GEO vs. AEO vs. LLMO: an honest taxonomy
- The anatomy of an LLM answer
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Cite this article
Reference this work in one of the formats below. The same strings are embedded in this page's Schema.org JSON-LD so LLM crawlers see them too.
Pawlikiewicz, S. (2026, May 17). What is Generative Engine Optimization (GEO)?. The Cited. https://geosalience.com/foundations/what-is-geo
Changelog
- Published — 17 May 2026
- Updated — 17 May 2026
- Last reviewed — 17 May 2026
Founder & Editor, The Cited
Building The Cited — the publication of record for Generative Engine Optimization. Researching how AI search engines retrieve, rank, and cite.