GEO and AI search learning center

Practical guides for teams improving crawler access, page meaning, evidence, and technical readiness without treating a heuristic score as proof of real AI visibility.

Core references

GeoScore methodologySee exactly what the readiness score measures, how factors are weighted, and what the score cannot prove.AI crawler and robots.txt guideUnderstand search, user-triggered, and training agents before changing crawler policy.

Practical guides

GEO fundamentals

What is generative engine optimization (GEO)?

A practical definition of GEO, how it relates to SEO, what can actually be measured, and where teams should start.

8 min

Structured data

Structured data for AI search: implementation guide

How to use schema markup to make page entities, ownership, dates, and content types clearer without overclaiming its effect.

9 min

Content and trust

How to create citation-ready content for AI answers

A framework for writing pages that are easy to quote, verify, attribute, and keep current across search and answer systems.

8 min

Technical audit

Technical GEO audit checklist for public web pages

A prioritized checklist for crawler access, indexability, rendering, semantics, trust, and repeatable AI-search readiness reviews.

10 min