GeoReady · Book
ISBN 979-8172934568
AI Search Engineering
A Technical Guide to Generative Engine Optimization (GEO), AI Citations, and Agent-Ready Websites
A technical, evidence-first guide to Generative Engine Optimization. Instead of treating GEO as a collection of tricks, the book presents it as an engineering discipline built around a measurable pipeline — the same methodology the open-source GEO Optimizer audit engine implements.
- Author
- Juan Camilo Auriti
- Pages
- 992
- Language
- English
- Published
- 10 September 2026
The pipeline the book is built around
Every chapter attaches to one stage of the path a page travels before it can be cited. Naming the stages is what makes GEO measurable instead of anecdotal.
- 01
Discovery
How answer engines find a URL exists at all.
- 02
Crawling
Crawler access, robots controls, and what actually gets fetched.
- 03
Machine understanding
Rendering, structured data, semantic HTML, entity signals.
- 04
Retrieval
Which passages get selected as candidate sources.
- 05
Answer generation
How content is used once it reaches the model.
- 06
Citation
Whether the source is named, and how to measure it over time.
- 07
Interaction
Machine-readable interfaces and agent-driven navigation.
- 08
Action
Preparing sites for agents that do things, not just read.
What it covers
- How modern AI answer engines discover and use web content
- Telling documented behaviour apart from research findings, observation, inference, and product-specific scoring
- Auditing crawler access, robots controls, rendering, structured data, semantic HTML, and entity signals
- Engineering content for extraction and citation without relying on arbitrary "AI-friendly" formulas
- Designing prompt research frameworks for measuring real AI visibility
- Tracking citations, source usage, answer presence, and visibility over time
- Building operational GEO workflows for teams, agencies, and technical SEO programmes
- Evaluating llms.txt, schema markup, and crawler directives without overstating what they can do
- Preparing websites for AI agents, machine interaction, and action-oriented interfaces
- Managing prompt injection, content integrity, and agent-related security risks
The appendices cover GEO audits, AI crawlers, JSON-LD templates, prompt research, citation tracking, evidence classification, CI/CD checks, client reporting, terminology, and technical references.
Who it is for
- Developers
- Technical SEOs
- Consultants
- Agencies
- Product teams
- Site owners
Written for people who want to understand what can actually be measured, implemented, and defended in AI search. No guarantees, no invented ranking factors, no hype presented as fact — the same standard the audit engine holds itself to.
Book and tool, same methodology
The book explains the reasoning; GEO Optimizer runs it. The scoring weights, the eight signal categories, and the evidence classification described in print are the ones implemented in the MIT-licensed engine — you can read the rules and disagree with them.