SEO for AI — Make AI Agents Discover You
“Google crawlers look at keywords and links. AI agents look at structured data and trust signals.”Traditional SEO optimizes your ranking in Google search results. AI-SEO optimizes your visibility in recommendations from AI agents like ChatGPT, Claude, and Gemini. The rules are entirely different.
What This Book Covers
This book is written for SEO practitioners, operations teams, and webmasters. It provides comprehensive industry knowledge and hands-on guidance for AI-SEO, covering everything from technical infrastructure to structured data, from AI crawler management to trust signal optimization. Every chapter includes checklists and code examples you can implement immediately.Table of Contents (14 Chapters)
Part 1: AI-SEO Fundamentals
- AI-SEO vs Traditional SEO — How two types of crawlers work differently, and the AI-SEO maturity model
Part 2: Structured Data
- Technical Infrastructure — Complete configuration guide for SSL, DNSSEC, DMARC, and HSTS
- Schema.org in Practice — Hands-on Product/Organization/BreadcrumbList markup
- JSON-LD vs Microdata — Format comparison and migration strategy
Part 3: AI Discoverability
- robots.txt Optimization — Precise access control configuration for AI crawlers
- Writing llms.txt — Your company brief for AI agents
- agent.json Service Declaration — Telling AI agents what interaction capabilities you support
- Sitemap Optimization — Helping AI crawlers efficiently discover all your pages
Part 4: Trust Signal Optimization
- Policy Quality — Writing standards for privacy policies and return policies
- Business Identity — LEI registration, business verification, and domain credibility
Part 5: Monitoring and Iteration
- AI Trust Score as an AI-SEO Metric — Measuring optimization results with trust scores
- Tools and Dashboards — The complete AI-SEO tool landscape
- Monthly Optimization Checklist — A systematic maintenance checklist
- Case Studies — Optimization case studies for different types of websites