Understand where AI answers see your brand, and where they do not.
Generative engine optimization, or GEO, combines AI visibility measurement with the source, content, and technical work that can improve how a brand is represented in generative search experiences.
Visibility gap
Observed signalExample question
Which platforms help small teams monitor AI search visibility?
Two competitors are cited. Your comparison page is not yet used as a source.
Gap linked to a query and source set
A practical definition
Related disciplines, different lenses.
GEO is an emerging practice for measuring and improving a source's visibility in generative answers. The field is evolving, so useful work separates observed citations from assumptions about why they occurred.
- AEOAnswer Engine Optimization
Improving how clearly and reliably a page answers a specific audience question.
- GEOGenerative Engine Optimization
Measuring and improving source or brand visibility across generative answer systems.
- This page's focus
Core principles
Work from source quality, not shortcuts.
- 01
Track prompts with context
Define the audience, market, language, and query set so visibility changes remain interpretable.
- 02
Separate mentions from citations
A brand mention, a linked citation, and a source that materially supports an answer are different signals.
- 03
Diagnose the source gap
Compare cited sources for coverage, authority, accessibility, freshness, and first-hand evidence.
- 04
Improve what helps people
Prioritize clear, original, reliable content over pages produced only to target prompt variations.
How it works
A measured loop from question to evidence.
1 / 4
Define the query set
Choose the commercial and informational questions that reflect real customer discovery.
2 / 4
Capture the sources
Record who is mentioned, which pages are cited, and how the answer represents each brand.
3 / 4
Diagnose the gap
Review crawl access, source quality, content coverage, and the evidence competitors provide.
4 / 4
Improve and remeasure
Ship useful changes, then compare results over time while accounting for model variability.
Source notes
What official guidance supports.
Platform behavior changes. These primary sources anchor the claims on this page and should be reviewed as the product evolves.
- Foundational GEO researchThe original GEO paper frames the work around content visibility in generative-engine responses and measurable visibility metrics.
- Google Search CentralGoogle recommends helpful, reliable, people-first content and the same technical foundations used for search generally.
- OpenAI publisher guidanceOpenAI documents crawl controls for ChatGPT search and explains how publishers can identify referral traffic.
Questions
Clear answers, without ranking promises.
GEO basics
Build on the fundamentals