About Online Reputation Management for Your AI Resume

Online Reputation Management for Your AI Resume is about the discipline of making a business identifiable and citable by AI systems.

Somewhere in the next week, someone will ask an AI model about you or your business, and the model will answer.

That summary is your AI resume.

Nobody sends you a copy.

The book argues that AI models are already writing a profile of you from everything they can find, and that it is managed by building a record rather than by burying one.

Models read past page one, past page ten, into reviews and replies and archived complaints, and they synthesise all of it. Burying a problem no longer works, because nothing is buried to a machine that reads everything.

A genuine record, built deliberately and corroborated widely, has never been more powerful, because the machines reward exactly what they can verify.

Your AI resume already exists. The only question is who is writing it.

The book is written for business owners, founders and marketers whose reputation AI models are already summarising.

It assumes no technical knowledge and is written for anyone whose name can be asked about. The closing chapter is blunt about its own readership: most of them, it says, will never once open a model and ask.

Online Reputation Management for Your AI Resume runs to 12 chapters.

See the full chapter list.

Publication date is to supply.

The book runs to page count to supply and is written in en-GB. See every edition and ISBN.

Nine practitioners each contributed to the book.

The byline order is AI James Dooley, Scott Keever, Jesper Nissen, Kasra Dash, Mike Lovatt, Paul Truscott, Peter Victor Jones, Stewart Vickers, Dan M. Jones.

Each author has a dedicated page covering their background, their expertise and what they contributed.