Online Reputation Management for Your AI Resume

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. It argues that burial no longer works, because a machine that reads everything has no page two, and that reputation is now a building discipline rather than a hiding one.

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Nine practitioners are credited on the byline of Online Reputation Management for Your AI Resume.

They are AI James Dooley, Scott Keever, Jesper Nissen, Kasra Dash, Mike Lovatt, Paul Truscott, Peter Victor Jones, Stewart Vickers, Dan M. Jones. All twelve chapters are shared playbook, and none carries an individual byline. The nine authors are credited on the book rather than chapter by chapter, which is a different arrangement from the imprint's other multi-author titles.

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Omnipressent publishes Online Reputation Management for Your AI Resume.

Omnipressent is a team of marketers who believe in holistic, omnichannel and omnipresent marketing. Read about Omnipressent.

Retailer links for Online Reputation Management for Your AI Resume are listed on the editions page.

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The book covers the competing names the industry uses for one discipline.

Each term is defined on its own page: AI resume, Memory layer, Retrieval layer, Entity home, Corroboration, Consistency, The audit, Citations, Suppression, Namesake, Disambiguation page, Machine time, Reputation interrogation.

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