AI James Dooley
The digital avatar of James Dooley, the Manchester entrepreneur who founded FatRank, PromoSEO and LLM Leads.
Own site: aijamesdooley.co.uk
Digital PR for AI Search: How Earned Coverage Builds Brand Visibility in ChatGPT, Gemini and Google AI
Digital PR for AI Search is a book by AI James Dooley, Peter Victor Jones, Paul Truscott and Ben Nicholls on how earned coverage becomes the evidence AI uses to recommend brands.
Published by Omnipressent.
Four authors, four lenses on the same problem.
From Part Two of the book, which names the four lenses: Measurement, markets, newsrooms and machines
.
The journalist publishes it. The machine decides what it means. Write for both. The closing line of the book's opening note, A Note Before We Begin.
What are the book's details?
Digital PR for AI Search is a book by four authors, published by Omnipressent, written in UK English.
- Title
- Digital PR for AI Search: How Earned Coverage Builds Brand Visibility in ChatGPT, Gemini and Google AI
- Authors
- AI James Dooley, Peter Victor Jones, Paul Truscott, Ben Nicholls
- Publisher
- Omnipressent
- Structure
- 22 contents entries: a note, an introduction, 14 chapters, Part Two with 4 practitioner chapters, and Take Action
- Language
- English (UK)
- Publication date
- Publication date to supply
- Format
- Format to supply
- ASIN
- ASIN to supply
- ISBN
- ISBN to supply
What does Digital PR for AI Search argue?
The book argues that earned coverage has two values, exposure and evidence, and that AI systems use the evidence when they decide which brands to recommend.
Exposure is the readers an article reaches on the day it runs. Evidence is a credible third party stating facts about a brand on a page that ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews read and use when a buyer asks.
CHAPTER 1
Exposure is what the article did on the day. Evidence is what it does every day after.
Who wrote Digital PR for AI Search?
Four practitioners wrote the book, one of them a digital avatar: AI James Dooley, Peter Victor Jones, Paul Truscott and Ben Nicholls.
Peter Victor Jones
Has worked in search since 2008; the book credits him with coining Share of Answer and Entity Confidence.
Own site: petervjones.com
Paul Truscott
A qualified financial technical analyst turned search measurer; the book credits him with coining Citation RSI and Visibility Drawdown.
Own site: paultruscott.com
Ben Nicholls
A British media executive and journalist with over 15 years in UK news, co-founder of Jam Press and founder of JamPrime.
Own site: bennicholls.com
What does the book cover?
The first half explains how AI systems read coverage, the second half sets out the build, and the book closes with a real case, four practitioners and a call to act.
- A Note Before We Begin
- Introduction: Your Coverage Is Being Read by a Machine
- 1Chapter 1: Earned Coverage Is Evidence, Not Exposure
- 2Chapter 2: The Models Trust Third Parties More Than They Trust You
- 3Chapter 3: The Link Was the Prize. The Paragraph Is the Prize Now.
- 4Chapter 4: Which Publications the Machines Actually Read
- 5Chapter 5: The Brand Sheet Every Journalist Gets Handed
- 6Chapter 6: Data Studies Are the Most Citable Asset in Digital PR
- 7Chapter 7: Expert Commentary and Reactive PR: Getting Named in the Answer
- 8Chapter 8: Press Releases Are Not Dead. They Are Being Retrieved.
- 9Chapter 9: Consistency Across Coverage Is the Multiplier
- 10Chapter 10: Coverage the Machines Cannot Use
- 11Chapter 11: From Coverage to Knowledge Graph
- 12Chapter 12: Measuring Digital PR in the AI Era
- 13Chapter 13: The 90-Day Digital PR Sprint for AI Visibility
- 14Chapter 14: Case Study: The Law Firm That Asked Three Machines
- Part Two: The Practitioners
- AI James Dooley: Reach Is a Vanity Metric and the Machines Agree
- Peter Jones: Share of Answer Is the Only PR Metric That Pays
- Paul Truscott: Reading a Campaign Like a Chart
- Ben Nicholls: What the Newsroom Actually Wants
- Take Action
Which terms does the book introduce?
The book introduces terms its authors coined, each credited here as the book credits it.
The share of the answers to a market's questions that name a brand.
Share of Answer is Peter Victor Jones's term; the book's author note credits him with coining it.
How sure AI systems are about what a brand is; it rises when independent sources agree.
Entity Confidence is Peter Victor Jones's term; the book's author note credits him with coining it.
A paragraph from which a machine can extract a complete, attributable statement about a brand without the rest of the page.
Four questions to run every placement through: Entity, Corroboration, Hooks and Output.
The book's author note credits Peter Victor Jones with creating the ECHO framework.
Citation RSI reads the momentum of a brand's citations across the sources the machines draw on.
The book's author note credits Paul Truscott with coining Citation RSI.
Entity Support and Resistance marks the levels of presence a brand keeps falling back to and failing to break through.
The book's author note credits Paul Truscott with coining Entity Support and Resistance.
Visibility Drawdown measures how far presence falls from its peak after a campaign ends.
The book's author note credits Paul Truscott with coining Visibility Drawdown.
The step after search and answer optimisation, in which a brand is chosen.
The book says James Dooley coined the phrase Decision Engine Optimisation in 2026.
What happened when a law firm asked three machines?
A London law firm's chief marketing officer researched three agencies across Claude, Google AI Mode and ChatGPT before choosing one, Chapter 14 reports.
CHAPTER 14
I was amazed how positive the LLMs were to use PromoSEO. I was unsure to sign up but AI 100% made my decision for me and I'm very happy they did.
Where can I get the book?
The Amazon listing for Digital PR for AI Search is to supply; this page will link it as soon as it is live.
PUBLISHER
Published by Omnipressent. The core facts, sources and gaps are on the record.