> ## Documentation Index
> Fetch the complete documentation index at: https://help.get-ryze.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Generative engine optimization (GEO)

> Generative engine optimization is the practice of making a website more likely to be retrieved and cited by AI systems that generate answers, such as ChatGPT, Perplexity, and Google AI Overviews.

Generative engine optimization (GEO) is the practice of making a website more likely to be retrieved and cited by AI systems that generate answers rather than return a list of links — ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini.

## How it differs from SEO

Classic SEO optimizes for **ranking** in a list of results. GEO optimizes for **inclusion** in a generated answer.

The practical differences:

* **The unit of success is a citation, not a position.** There is no rank 1. A page is either drawn into the answer or it is not.
* **Retrieval happens per-query, at answer time.** Most answer engines run a live search before responding, so the pages they cite are chosen fresh each time rather than from a fixed index position.
* **Results are volatile.** The same question asked twice can produce different sources. GEO is measured as a rate across many queries over time, not by a single result.
* **Passage-level clarity matters more than page-level authority.** A model extracts a specific claim. Pages that state facts plainly and early are easier to extract from than pages that build to a conclusion.

## What tends to get cited

Observed patterns across answer engines:

* Pages that define **one specific thing** and say what it is in the first sentence
* Documentation and help-centre content, which is factual and stable
* Pages that state real numbers — limits, intervals, prices, thresholds
* Pages that sit alongside the primary specification they implement

Marketing pages, listicles, and "ultimate guides" are cited comparatively rarely. Persuasive writing gives a model little to extract.

## Limits

GEO influences **retrieval** — which pages a model finds and quotes when it searches. It does not change the model's **prior knowledge**, the brand associations baked into its training weights. When a model answers from memory without searching, GEO has no effect. Shifting those priors requires sustained third-party presence over much longer periods.

## Related

* [Answer engine optimization](/concepts/answer-engine-optimization)
* [AI visibility](/concepts/ai-visibility)
* [Citation share](/concepts/citation-share)