Entity Foundations for LLM Visibility
Chapter 10
Continued from Listicle Frameworks for AI Crawlers
Chapter 10 of 14 in LLM Mastery: How AI Recommends Brands for LLM Domination
Every tactic in this book leaks without entity foundations, because evidence only counts when the machines can confidently attach it to you.
What does Chapter 10 argue?
Entity foundations are what make evidence count, because machines credit evidence only when they are confident it belongs to your brand.
The chapter sets four permanent practices: be resolvable, publish the entity home, sweep the contradictions and guard the name. It says an audit that removes old addresses, stale descriptions and legacy names routinely outperforms new placement budgets, because removing disagreement raises confidence in everything that remains.
Chapter 10 is where the book defines entity foundations.
Entity foundations
Chapter 10 opens with the book's definition of entity foundations, quoted at the start of this page.
Entity foundations are the four permanent practices that let AI models attach evidence to the right brand: be resolvable, publish the entity home, sweep the contradictions and guard the name.
The glossary entry for a term it uses: Entity home.
What is in Chapter 10?
Chapter 10 works through four named parts:
- Be resolvable.
- Publish the entity home.
- Sweep the contradictions.
- Guard the name.
How does Chapter 10 close?
Chapter 10 closes on this line:
Evidence wins answers. Entities collect evidence. Fix the collector before filling it.
Chapter 11, Off-Page Signals LLMs Trust, follows it.