#1 Amazon Best-Seller in SEO and AI, September to December 2025. Available in French and English.
AI engines evaluate sources through a trust funnel. The book reinterprets E-E-A-T signal by signal.
Expertise must be encoded to be readable. The book builds two levers: customer intent and a structured knowledge graph.
Citation frequency, AI share of voice, performance by engine: how to build these metrics and move them in a zero-click era.
Two hours of reading. Based on real cases and field data. For CEOs, CMOs, and SEO leads.
AI engines cite brands based on a trust reasoning. This book gives you the method to be one of them. This book gives you the method to get cited: understand what engines look for, make your expertise readable to AI, measure share of voice.
Generative search changes the rules. The book documents the shift to GEO signal by signal, with real cases and an applicable progression.
He leads Schneider AI, a marketing and AI advisory firm based in Lausanne. The book is prefaced by Andreas Ramos, consultant for MIT, Stanford and Harvard.
Cominmag and Entreprise Romande (FER) covered Schneider AI's GEO approach. Two complementary reads to situate the method in its editorial and field context.
The method describes what to build. Schneider AI's marketing OS operates it: continuous AI share of voice, strategy encoding, monthly reviews.
AI Visibility · Schneider AI
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When brand is cited