Recommended by AI: The New Rules of Lead Generation
Recommended by AI: The New Rules of Lead Generation is a book credited to AI James Dooley and nine other practitioners, published by Omnipressent, on how a business becomes a name AI assistants recommend.
Amazon credits these ten people. The cover and the Google edition credit AI James Dooley alone. See the record.
Sold on Amazon (ASIN B0H9V14PXJ) and listed on Google Books (HyH2EQAAQBAJ).
The logos of AI products on the cover are illustration; none of those companies endorses or features the book.
What are the book’s details?
Recommended by AI: The New Rules of Lead Generation is published by Omnipressent as a Kindle edition and a Google ebook.
- Title
- Recommended by AI: The New Rules of Lead Generation
- Publisher
- Omnipressent
- Kindle edition
Kindle Edition, 24 pages, published 21 July 2026
ASIN B0H9V14PXJ
Byline as Amazon lists it: AI James Dooley, Luke Bastin, Scott Calland, Abigail Dooley, Paul Truscott, Vaibhav Sharda, Adrian Ponce Del Rosario, Peter Jones, Mike Lovatt, Mads Singers
- Google edition
Ebook, 10 pages, published 19 July 2026
Google Books ID HyH2EQAAQBAJ
Byline as Google lists it: AI James Dooley
- Language
- English (UK)
- Subject
- Computers / Artificial Intelligence / Generative AI as Google Books lists it
- ISBN
- Not yet known: an ISBN; none appears on any listing
- Kindle text
- Not yet known: the Kindle edition’s text; only the Google edition’s text is held
What does Recommended by AI argue?
Customers now ask AI assistants who to trust, and the AI answers with two or three names.
They put the questions they once asked a knowledgeable friend to ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews. A business left out of that answer never learns that a customer was looking.
Chapter 3 calls the work Answer Engine Optimisation, or AEO: making a business visible, understandable and recommendable to the AI systems that answer customers’ questions. The book reduces it to one question, asked from the machine’s side of the table:
can this system understand who you are, verify you are credible, and safely recommend you?
Chapter 4 sets out the four foundations those systems weigh before they recommend anyone.
This book is about becoming the name in the answer.
What are the five rules?
The five rules in Recommended by AI are Be a Clear Entity, Answer the Questions, Get Third Parties Talking, Show Your Working and Be Everywhere the Machine Reads.
The machine must be able to state exactly who you are.
Chapter 5
Rule Two: Answer the Questions
Publish the answers in public, in the shape of the questions.
Chapter 6
Rule Three: Get Third Parties Talking
The independent record decides, so build it deliberately.
Chapter 7
Show your working, so credibility is demonstrated.
Chapter 8
Rule Five: Be Everywhere the Machine Reads
Keep leaving fresh, consistent evidence everywhere the machines read.
Chapter 9
Five rules, one machine-side test: understood, credible, current, corroborated, safe to name.
Who wrote Recommended by AI?
Amazon credits ten people as authors of the Kindle edition, led by AI James Dooley, the digital avatar of James Dooley.
AI James Dooley is the digital avatar of James Dooley, the serial entrepreneur from Manchester who founded FatRank, PromoSEO and LLM Leads.
Own site: aijamesdooley.co.uk/about-ai-james-dooley/
Author
Luke Bastin is a technical SEO consultant with expertise in Python automation, enterprise SEO and semantic architecture.
Own site: lukebastin.com
Credited on Amazon
Scott Calland is a copywriter working in the digital marketing industry, listed as a partner at Autoblogging.ai.
Own site: autoblogging.ai/team/scott-calland/
Credited on Amazon
Abigail Dooley is a lead generation expert at PromoSEO and FatRank, the UK lead generation firms founded by James Dooley, where she has worked since November 2021, specialising in SEO-led lead generation.
Own site: abigaildooley.co.uk/about-abigail-dooley/
Credited on Amazon
Paul Truscott is a British semantic SEO and generative engine optimisation specialist, author and podcaster, known as the King of Google Maps.
Own site: paultruscott.com/paul-truscott
Credited on Amazon
Vaibhav Sharda founded Autoblogging.ai in 2022.
Own site: autoblogging.ai/team/vaibhav-sharda/
Credited on Amazon
- Not yet known: portrait
Adrian Ponce del Rosario
Not yet known: a short description
Own site: blazing-seo.com/about/adrian-del-rosario/
Credited on Amazon
Peter Victor Jones is a UK-based SEO specialist who has worked in search since 2008, building organic SEO and Google Ads systems that now generate over 20,000 leads a year.
Own site: petervjones.com/about/
Credited on Amazon
- Not yet known: portrait
Mike Lovatt is a British entrepreneur and SEO specialist, and the founder of Pipefire, the cold email software for agencies.
Own site: mikelovatt.com/about/
Credited on Amazon
Mads Singers is a Danish management coach, consultant and speaker who founded Aristo Sourcing, serves as CEO of Aristo Search and runs the SEO Mastery Summit conference in Ho Chi Minh City.
Own site: madssingers.net/about/
Credited on Amazon
AI James Dooley is the digital avatar and the credited author of this book, and James Dooley, the person, is a separate entity who is not credited as an author.
Every idea in this book was researched, written and refined by James Dooley personally.
AI James Dooley’s own awards include Best Virtual Entrepreneur, UK AI Innovation Awards, 2026, as his awards page lists it.
What does the book cover?
The Google edition holds a note, an about-the-author, an introduction, thirteen chapters and Get In Touch.
- A Note Before We Begin
- About the Author
- Introduction: The Question That Changed
- Chapter 1: How Customers Choose Now
- Chapter 2: The Invisible Pitch
- Chapter 3: What Is AEO? The Discipline of Being the Answer
- Chapter 4: How AI Decides Who to Recommend
- Chapter 5: Rule One: Be a Clear Entity
- Chapter 6: Rule Two: Answer the Questions
- Chapter 7: Rule Three: Get Third Parties Talking
- Chapter 8: Rule Four: Show Your Working
- Chapter 9: Rule Five: Be Everywhere the Machine Reads
- Chapter 10: The Local Goldmine
- Chapter 11: Keeping Score: Measuring AI Visibility
- Chapter 12: The First-Mover Decade
- Chapter 13: Your Twelve-Month Plan
- Get In Touch
The Kindle edition’s contents are not held.
The contents, as printed All thirteen chapters and the introduction
Which terms does the book define?
The book names Answer Engine Optimisation and the four foundations it says AI systems weigh: digital signals, entity authority, topical relevance and online reputation.
Two of these terms are credited to others first. Kalicube states that it coined Answer Engine Optimization in 2017. Kalicube credits the term Entity Home to Jason Barnard.
Where can I get the book?
Recommended by AI is sold as a Kindle edition on Amazon UK and Amazon US, and as an ebook on Google Play.