# The GEO field guide

A practical system for earning visibility, citations, and recommendations in AI-generated answers.

Generative engine optimization (GEO) helps your brand become a source that AI search products can find, understand, trust, and recommend. This guide covers the work from first benchmark to ongoing measurement.

  - [Understand GEO](/docs/geo-basics) — Learn what changes—and what stays the same—from traditional SEO.
  - [Build your strategy](/docs/strategy) — Choose commercial questions, entities, proof, and channels worth prioritizing.
  - [Implement it](/docs/implementation) — Turn the strategy into pages, technical changes, distribution, and measurement.
  - [Run the checklist](/docs/checklist) — Use the launch and quality-control checklist before publishing.

## The operating model

GEO is not a one-time content rewrite. It is a loop: observe how engines answer, identify gaps, publish the clearest evidence, make it easy to retrieve, earn corroboration, and measure whether answers change.

  ### Discover demand
Map the questions buyers ask before they know your name, while comparing options, and just before they decide.
  ### Establish the baseline
Record which brands, sources, claims, and formats appear today across the engines that matter to your market.
  ### Create answerable evidence
Publish specific claims with clear definitions, firsthand proof, named authorship, dates, and sources.
  ### Distribute and corroborate
Build consistent evidence beyond your own domain through relevant publications, communities, profiles, and references.
  ### Measure and improve
Track presence, citation share, message accuracy, sentiment, qualified traffic, and pipeline—not rankings alone.

> This guide is a working foundation. GEO systems change quickly, so treat every recommendation as a hypothesis to test against real prompts and business outcomes.