Recommended by AI chapters
Recommended by AI runs from why the question changed, through how AI decides who to name and five rules for being named, to a twelve-month plan.
What does each chapter argue?
Each of the 14 entries below has its own page, with a summary and the book’s opening and closing lines.
The question, and how AI decides
Introduction: The Question That Changed
For twenty years lead generation meant ranking when customers searched, and the introduction says that question is being replaced by customers asking AI assistants directly.
Chapter 1: How Customers Choose Now
Chapter 1 says the move from searching to asking changes the customer’s whole route to a purchase.
Chapter 2: The Invisible Pitch
Chapter 2 argues that the most important sales conversation about a business now happens without it, and the business never sees a transcript.
Chapter 3: What Is AEO? The Discipline of Being the Answer
The chapter names the work: Answer Engine Optimisation, or AEO, which makes a business visible, understandable and recommendable to the AI systems that answer customers’ questions.
Chapter 4: How AI Decides Who to Recommend
Chapter 4 says an AI system that assembles a recommendation draws on four foundations: digital signals, entity authority, topical relevance and online reputation.
The five rules
Chapter 5: Rule One: Be a Clear Entity
Rule One says the machine must be able to state exactly who a business is, because a system cannot recommend what it cannot resolve.
Chapter 6: Rule Two: Answer the Questions
Rule Two is to publish the answers in public, in the shape of the questions customers ask.
Chapter 7: Rule Three: Get Third Parties Talking
Rule Three holds that the machine files what a business says about itself as claims and what others say as evidence, so the independent record decides.
Chapter 8: Rule Four: Show Your Working
Rule Four answers one test, whether a business is safe to vouch for, by having it show its working everywhere.
Chapter 9: Rule Five: Be Everywhere the Machine Reads
Rule Five turns the first four rules into a habit of presence, because the machines keep reading and their picture of a market keeps updating.
Local business, measurement, timing and the plan
Chapter 10: The Local Goldmine
Chapter 10 says local service businesses are where AI recommendation bites first, because their questions are the ones people ask assistants.
Chapter 11: Keeping Score: Measuring AI Visibility
Chapter 11 replaces rank trackers with a simpler scoreboard: ask the machines and write down what they say.
Chapter 12: The First-Mover Decade
Chapter 12 says every marketing shift gives early movers an advantage followers never fully claw back, and places AI recommendation at the start of that period.
Chapter 13: Your Twelve-Month Plan
The final chapter turns the book into a twelve-month calendar, from invisible to recommended.
How is the book organised?
The book opens with a note and an introduction, sets out how AI decides, gives five rules in Chapters 5 to 9, then turns to local business, measurement, timing and a twelve-month plan.
