Our founder Dan M. Jones has co-authored a new book called Online Reputation Management for Your AI Resume. It explains how AI models build a profile of you or your business from the information they can find online and what you can do to improve the evidence behind it.
Who Co-Wrote The Book With Dan?
Dan M. Jones co-authored the book with AI James Dooley, Stewart Vickers, Scott Keever, Kasra Dash, Peter Victor Jones, Paul Truscott, Jesper Nissen and Mike Lovatt.
Online Reputation Management for Your AI Resume was published by Omnipressent.
What Is An AI Resume?
An AI resume is the profile AI models assemble when someone asks who you are, what you are known for or whether you can be trusted.
It can be built from reviews, old press, forum discussions, directories and other information the machines can retrieve. This can include outdated information or details belonging to someone else with the same name.
Unlike a CV, you do not write your AI resume yourself. Your CV contains the information you choose to present. Your AI resume reflects the evidence available to the machines answering questions about you.
Why Does Your AI Resume Matter?
Potential customers, employers, investors, lenders, journalists, business partners and future hires can all use AI to research a person or business.
You may never know that somebody checked.
The information AI provides could be read before an interview, purchase, investment or business agreement. That makes the public evidence connected to your name or business increasingly important.
Where Does The Information Come From?
The book explains the memory layer and retrieval layer behind an AI resume. It looks at what each layer trusts and why managing your reputation means working on the sources rather than trying to edit an AI generated profile directly.
Readers also learn how to trace wrong or outdated information back to its source. The book covers the namesake problem too, including ways to separate your record from information belonging to another person.
How Can You Check Your AI Resume?
One of the practical parts of the book is an audit using ChatGPT, Claude, Gemini and Perplexity.
Readers are shown which questions to ask and how to diagnose what they find. Different problems require different responses, whether the information is incorrect, outdated or genuinely negative.
The book also introduces the monthly interrogation. This is a one hour routine for checking your AI resume, tracking changes and connecting problems back to their sources.
Is Traditional Reputation Suppression Enough?
Online Reputation Management for Your AI Resume argues that the traditional approach of pushing negative information onto page two is no longer enough when AI systems can retrieve information from across the web.
Instead, the book focuses on correcting inaccurate information at its source, responding to genuine negatives on the public record and building enough accurate information to strengthen the overall evidence about you.
A genuine negative does not simply disappear. The authors explain why your response becomes part of the retrievable record and how a deeper body of evidence can reduce the weight of one bad event.
Where Can You Find The Book?
Online Reputation Management for Your AI Resume is available through Amazon and Google Play Books. You can also find the book on Google Books and Goodreads.
If you want to understand what AI systems may be saying about you and how the evidence behind those answers can be managed, the book explains how to audit and improve your AI resume.
Learn more about the book, including its full chapter breakdown and author profiles, at: https://onlinereputationmanagementforyourairesume.com/
