Your AI resume already exists. The only question is who is writing it.
Online Reputation Management for Your AI Resume is a practitioner playbook on the profile AI models assemble about you when someone asks, and how to audit, feed, correct and compound it deliberately.
Somebody asked a machine about you this week, and nobody sent you a copy.
Ask ChatGPT, Claude, Gemini or Perplexity about a person or a company and the answer is not a search result. It is a synthesis: who you are, what you do, what you are known for, and increasingly whether you should be trusted, hired or bought from. That synthesis is your AI resume, and it is compiled from sources you forgot existed.
It is read at the moments reputation turns into money. Buyers before they sign. Employers before they interview. Partners and lenders before they commit. Journalists before they quote you. None of them will ever tell you they checked.
Your CV says what you chose to say. Your AI resume says what the evidence supports. Where the two disagree, the reader increasingly believes the machine, because the machine has no reason to flatter you.
What is inside
- Who is reading it · buyers, employers, partners, lenders, journalists and future hires, and why the reading is invisible.
- Where it comes from · the memory layer and the retrieval layer, what each one trusts, and why you edit the sources rather than the document.
- The audit · the exact questions to ask tonight, and the four diagnoses that set the work plan.
- The entity home · one page stating your record completely, written for lifting rather than for admiring.
- Why suppression is dead · the old industry sold burial to page two, and a machine that reads everything has no page two.
- Negatives, errors and namesakes · responding on the record, correcting at source, and separating your record from somebody else's life.
- Machine time and the monthly interrogation · the timescale reputation actually moves on, and the one hour a month that measures it.
Nine practitioners wrote it. Unlike the imprint’s other multi-author titles, no chapter carries an individual byline: all twelve are shared playbook.
Authors
- AI James Dooley
- Scott Keever
- Jesper Nissen
- Kasra Dash
- Mike Lovatt
- Paul Truscott
- Peter Victor Jones
- Stewart Vickers
- Dan M. Jones
Four of the nine authors are co-founders of Omnipressent. See every Omnipressent author.
- Publisher
- Omnipressent
- Publication date
- 12 September 2026
- Format
- Ebook
- Pages
- 25
- Language
- English
- ASIN
- B0HJMLHR26
Where to find it
Online Reputation Management for Your AI Resume is listed on 4 independent platforms, each carrying the same title, authors and publisher, and it has an entity home of its own.
onlinereputationmanagementforyourairesume.com is the book’s entity home: every chapter, every author, the glossary and the canonical record, including the conflicts still open between the three retailer listings. It reproduces this site’s description of Omnipressent word for word, and this page links back, so the thread runs both ways.