Why ChatGPT Ignores Your Website
The LLMO Practical Guide
LLMO Practical Guide | AI Search Optimization · llms.txt · JSON-LD · citation rate
LLMO Trilogy [Main]. The systematic guide to AI Search Optimization.
Other editions: 日本語
Overview
Google SEO won't get you cited by ChatGPT or Perplexity. This book maps LLMO (LLM Optimization) — the patterns and implementations for AI search era. From llms.txt and JSON-LD to citation-rate KPIs, this is the field guide for being seen by AI search engines.
What you will be able to do
- Understand LLMO basics and how it differs from Google SEO
- Implement llms.txt and JSON-LD to be picked up by AI search engines
- Reverse-engineer citation logic of ChatGPT, Perplexity, and Brave
- Design KPIs to measure AI citation rate
- Extract concrete improvement points from real case studies
Who is this book for
- [Web Owner] My site doesn't show in ChatGPT or Perplexity
- [Marketer] Need the next layer beyond Google SEO
- [Tech Blogger] Want to lift AI citation rates
- [PM] Building SEO strategy for the AI search era
- [LLMO Beginner] Need terminology and concepts laid out systematically
Problems this book solves
- ChatGPT search never shows my site
- Want to be in Perplexity's citations but don't know what to optimize
- Unsure if llms.txt is necessary or what it means
- Hard-earned Google SEO authority doesn't carry over to AI search
- No idea how to measure AI citation rate
- Not confident my Schema.org / JSON-LD implementation is working
Where this book stands
- Implementation-focused (concrete examples for structured data and llms.txt)
- Intermediate (HTML/SEO basics assumed; LLMO is the next layer)
- For Google SEO graduates (we don't reteach SEO; we go beyond)
- Cross-engine (ChatGPT / Perplexity / Brave behavior compared)
Why this book
- One of the first books to systematize the term LLMO
- Includes llms.txt implementation patterns with verification results
- Introduces AI citation rate as a new KPI
- Compares citation behavior across ChatGPT, Perplexity, and Brave
- Rich Schema.org JSON-LD examples
How this differs from other AI books
| Compared to | This book's difference |
|---|---|
| Google SEO books | Not an extension of Google SEO. Specifically optimizes for AI search engines. |
| AI / LLM intro books | Not theory. Implementation-focused on making sites discoverable by AI. |
| ChatGPT how-to books | Not about using ChatGPT — about being used by it (cited by it). |
Table of contents
- 01 Preface — Why LLMO? Free preview
- 02 How AI Search Engines Work Free preview
- 03 Google SEO vs LLMO Free preview
- 04 llms.txt Design and Implementation
- 05 JSON-LD / Schema.org Patterns
- 06 Content Optimization
- 07 Structuring for Citation Rate
- 08 ChatGPT Citation Logic
- 09 Perplexity Citation Logic
- 10 Brave Search Behavior
- 11 AI Citation Rate KPI Design
- 12 Case Studies
- 13 The Future
- 14 Afterword
Ranking #1 on Google won’t get you quoted by ChatGPT. AI search engines look at a different signal landscape.
This book maps that other landscape, LLMO (LLM Optimization), through llms.txt, JSON-LD, structured data, and citation-rate KPIs. Implementation-level, not theory-level.
“#1 on Google ≠ cited by ChatGPT.”
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