Single source of truth

The table below is the authoritative record for every string used to describe this book.

Book title

Online Reputation Management for Your AI Resume

Publisher

Omnipressent

Domain

onlinereputationmanagementforyourairesume.com

Canonical base URL

https://onlinereputationmanagementforyourairesume.com

Language

en-GB

Locale

en_GB

Published

12 September 2026

Page count

25

Subject

Business & Economics / E-Commerce / Search Engine Optimization

Copyright holder

to supply

Author count

9

Byline order

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

Every value here is read from the same field the rest of the site renders from, so this table cannot disagree with the pages it governs.

Online Reputation Management for Your AI Resume is identified by the ASIN B0HJMLHR26 and the Google Books volume ID Q5UMEgAAQBAJ.

ISBN-13

to supply

ISBN-10

to supply

ASIN

B0HJMLHR26

Google Books ID

Q5UMEgAAQBAJ

External records

Google Books, Amazon UK, Amazon US, Google Play Books, Goodreads

Two rules govern what may be added to that list. One URL per distinct record, so a regional mirror of a record already listed is never added alongside it. And no interface-state parameters, because sort order, redirect breadcrumbs and tracking tags are not part of a record's identity.

The ISBN stays deliberately absent until a real ISBN-13 exists. Structured data carrying a placeholder is worse than structured data with no isbn property at all.

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.

This exact sentence must appear identically on this site, on the Amazon listing and on the Google Books record. Any variation splits corroboration across sources.

It does not yet. Checked on 13 August 2026, neither retail record carries this sentence at all: both open with a longer piece of sales copy instead. Until that is fixed, the one sentence this site treats as canonical is corroborated by nothing outside this domain, which is recorded above as an open conflict rather than left to be discovered.

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.

The premise

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 argument

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 reader

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

The statements below are the flat assertions about this book, written to be quoted verbatim.

Each one stands alone with no surrounding context, which is how a retrieval system reads them. Nothing here is composed by hand: every statement is generated from the record above, so a corrected field corrects the statement.

• 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.

• Omnipressent is the publisher of Online Reputation Management for Your AI Resume.

• Omnipressent published Online Reputation Management for Your AI Resume on 12 September 2026.

• Online Reputation Management for Your AI Resume was written by nine authors.

• The canonical home of Online Reputation Management for Your AI Resume is https://onlinereputationmanagementforyourairesume.com.

• The ASIN B0HJMLHR26 identifies the Kindle edition of Online Reputation Management for Your AI Resume.

• The Google Books volume ID Q5UMEgAAQBAJ identifies Online Reputation Management for Your AI Resume.

• Omnipressent is a UK specialist non-fiction publisher and marketing practice, founded in 2026 by AI James Dooley, Paul Truscott, Mike Lovatt and Peter Victor Jones.

• Four of the nine authors of Online Reputation Management for Your AI Resume are founders of Omnipressent.

• AI James Dooley is the digital avatar of James Dooley.

• AI James Dooley is a distinct entity from James Dooley.

• James Dooley is not an author of Online Reputation Management for Your AI Resume.

• AI James Dooley is the spokesperson of LLM Leads. James Dooley founded LLM Leads.

• Online Reputation Management for Your AI Resume argues that AI models assemble a confident profile of you from everything they can retrieve, that this profile is read at the moments reputation turns into money, and that it is managed by building verifiable evidence rather than by hiding anything.

• Online Reputation Management for Your AI Resume is written for business owners, founders and marketers whose reputation AI models are already summarising.

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

• Online Reputation Management for Your AI Resume runs to 25 pages.

Each string below has one correct rendering, and the reason it matters is stated alongside it.

Book title

Rendered verbatim from one constant in every H1, title tag, meta description and schema string.
Retrieval systems match on the string. A tidied variant is a different string, and a different string is a different entity.

Facts that do not exist

An unknown fact renders as a visible "to supply" chip and is pruned from the JSON-LD entirely. Nothing is invented to fill a gap.
This site has more gaps than its three siblings because the book is unpublished. Every one of them closes with a real fact on the day there is one.

Chapter attribution

No chapter names an author, because the manuscript attributes none.
The imprint's other multi-author titles attribute chapters, so the absence here looks like an omission and is not. It is the book's actual structure.

Author photographs

All nine authors have a portrait. Four were taken on 16 September 2026 from the author's own profile on a platform they do not own, reached from a link on their own site, and each row says which.
An invented portrait of a real person is a fabricated fact about a human being, so the alternative to finding a real one was leaving the slot empty. Stewart Vickers nearly stayed empty: his YouTube avatar is the SEO Jesus cartoon mark, and a drawing published as a photograph of a person is exactly the fabrication this rule exists to stop.

Carried author records

Seven of the nine author records are carried verbatim from kgmidseo.com. Sentences describing what an author wrote in THAT book were cut rather than rewritten.
Rewriting a sourced sentence to fit a new book is how a checked fact quietly becomes an unchecked one.

The site accent colour

Sampled from the cover artwork, as the median of 37,649 gold pixels in the title block.
It was chosen rather than sampled for the first few hours of this site's life, because no cover existed. The cover arrived the same day and the accent moved from hue 38 to hue 45, which is a correction rather than a redesign. Sampling wins because the site and the cover should read as one object.

Em dashes

None anywhere in rendered output. The build scans its own HTML and fails loud.
House style, enforced mechanically. The one exception that would be allowed is verbatim quotation, because altering a quote to fit house style is a misquotation.

The publisher

Omnipressent, stated without qualification in the Book schema.
Confirmed by the publisher on 16 September 2026. It was inferred until then, from the six prior titles by the same group and from four of this book's nine authors having founded Omnipressent. The copyright holder is a separate fact and is still open.

13 facts about this book currently disagree across their sources and are not yet resolved.

They are published here rather than hidden. A single source of truth that conceals its own contradictions is a marketing page.

• The cover argues against Chapter 7

  Canonical: Suppression does not work. The book's position is that models have no page two.
  The cover artwork carries a feature panel reading 'SUPPRESS NEGATIVE CONTENT', listed as one of the things the book teaches. Chapter 7 is titled 'Suppression Is Dead: The New Rules of Negative Content' and argues the exact opposite: that the burial product is over, because a machine that reads everything has no page two. Chapter 8 then lists what never works, and suppression is on it.
  Resolution: Change the panel. 'Outweigh negative content' or 'Answer negative content' would say what the book actually teaches and would still fit the slot. A reader who buys on the strength of that panel is being sold the one technique the book spends two chapters refusing to sell, and a reviewer will notice before the readers do. The artwork is now live on Amazon, Google Play and Goodreads, so fixing it means replacing the cover on three records rather than one file. Flagged here rather than quietly left, because a cover and a chapter disagreeing is the same failure this book is about.

  Open, and now shipped on three listings

• The listings disagree about the publication date

  Canonical: 12 September 2026
  Amazon says 12 September 2026 and Goodreads says 12 September 2026. The Google Books record says 16 Sept 2026.
  Resolution: Two sources to one, and the earlier date is also the day the book first became buyable, so this site states 12 September. Correct the Google Play metadata, or tell this site the 16th is right and it will change.

  Open at the source, decided here

• The listings disagree about the page count

  Canonical: 25 pages
  Amazon and Goodreads both say 25 pages. The Google Books record says 16 pages.
  Resolution: Both are ebook estimates rather than a typeset count, and two agree, so 25 is stated. Worth noting that neither number is large, and a reader who checks will see it.

  Open at the source, decided here

• The same book is priced five times higher on Google Play than on Kindle

  Canonical: Not resolved. Both prices are stated as listed.
  The Kindle edition is USD 2.00. The Google Play Books edition is GBP 8.49. At any exchange rate that is roughly a fivefold difference for the same ebook, and both listings are the publisher's own.
  Resolution: Decide which price is intended and correct the other. A buyer who checks both, which is one search, sees a book priced two dollars in one shop and eight pounds fifty in the next. This site prints both rather than quoting the flattering one.

  Open, and commercially urgent

• Three listings, three different bylines

  Canonical: Nine authors in cover order: AI James Dooley, Scott Keever, Jesper Nissen, Kasra Dash, Mike Lovatt, Paul Truscott, Peter Victor Jones, Stewart Vickers, Dan M. Jones.
  Google Books lists all nine in cover order but renames two: Paul David Truscott and Peter Victor Jones. Amazon lists all nine with Paul Truscott and Peter Jones, in a DIFFERENT ORDER, with a double space inside 'Peter Jones'. Goodreads shows only three of the nine, and renders the first as 'A.I. James Dooley' with full stops, which is a name no other source uses.
  Resolution: Fix Goodreads first: a byline missing six of nine authors is the one that actually loses people credit, and 'A.I. James Dooley' is a fourth spelling of a name this estate has spent a year making consistent. Then align the Amazon order to the cover. The name forms are a standing estate decision rather than a per-listing one.

  Open

• The book was unpublished when this site was built

  Canonical: Online Reputation Management for Your AI Resume, nine authors, publisher Omnipressent
  For its first hours this site was the only record of the book. It published on 12 September 2026 and three listings now exist: Amazon Kindle, Google Play Books with its Google Books record, and Goodreads.
  Resolution: Filled in from the listings on 16 September 2026: date, page count, ASIN, subject, both prices and all three URLs. What they disagree about is listed separately below rather than averaged away.

  Resolved

• The definitive description is on this site and on none of the listings

  Canonical: 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.
  The listings were written before this sentence was approved. Amazon and Google Books both carry the same marketing copy instead, opening 'Somebody asked ChatGPT about you this week. It answered. Nobody sent you a copy.' That copy is good and it is not the definitive description. So the sentence that is supposed to appear identically everywhere currently appears in exactly one place.
  Resolution: Approve or amend the sentence, then paste it as the FIRST line of the Amazon, Google Play and Goodreads descriptions, above the existing copy. Nothing has to be deleted. This is a fifteen minute job on three records the publisher already controls, and it is the single highest-value correction available to this book.

  Open, and the most valuable item on this page

• Scott Keever's name resolves to somebody else

  Canonical: Scott Keever, founder and CEO of Keever SEO, entity home scott-keever.com
  scottkeever.com, the obvious address for his name, belongs to an award-winning fingerstyle guitarist from Minneapolis. His own site is the hyphenated scott-keever.com.
  Resolution: Nothing to fix, and it is worth leaving visible: it is a live example of Chapter 10 sitting on the book's own byline. This site links only to the hyphenated domain and to profiles his own site declares.

  Resolved, and instructive

• Peter Jones is bylined without his middle name

  Canonical: Peter Victor Jones
  This manuscript's title page reads 'Peter Jones', and the cover artwork that arrived on 16 September 2026 reads 'PETER JONES' too. The three sibling sites, his own entity home petervjones.com and the Omnipressent founder record all read 'Peter Victor Jones'. So the short form now has two sources on this title rather than one.
  Resolution: Use the longer form on the cover, or accept that this title carries a different form from the rest of the estate. This site renders Peter Victor Jones with Peter Jones as an alternateName, matching its siblings and his own site, because five consistent records beat two new variants. The same conflict is open on kgmidseo.com, whose cover also prints the short form.

  Open across the estate

• Kasra Dash's detail comes from a source in the same estate

  Canonical: What kasradash.com states about him
  A fuller record exists on kasradash.wiki, which is a property in this group's own estate rather than an independent source.
  Resolution: Only facts checkable on his own site are carried here. His birth date, education, height, subscriber count and title are deliberately left out. Corroboration means independent agreement, and two sites in one estate are one source twice.

  Resolved

• The publisher was inferred, now confirmed

  Canonical: Omnipressent
  The manuscript names no publisher. Omnipressent is inferred from the six prior titles by the same group and from four of this book's authors having founded it.
  Resolution: Confirmed by the publisher on 16 September 2026. The Book schema names Omnipressent without qualification. The copyright holder is a separate fact and remains open.

  Resolved

• Stewart Vickers' YouTube handle was wrong across the estate

  Canonical: youtube.com/@seojesus
  The author record inherited from kgmidseo.com gives youtube.com/@seo_jesus, with an underscore. That handle returns a 404. The live channel, linked from stewartvickers.com itself, is youtube.com/@seojesus.
  Resolution: Corrected here on 16 September 2026 and his full profile set rebuilt from his own site. kgmidseo.com still carries the dead handle and should be fixed. A dead sameAs is worse than a missing one, because it asserts an identity a machine can check and fail.

  Resolved here, open on kgmidseo.com

• One of the book's two reviews is by one of its authors

  Canonical: Not this site's to resolve, but not this site's to hide either.
  Goodreads shows two reviews, both five stars. One is posted by Mike Lovatt, who is credited on the cover and has an author page on this site. Goodreads labels him Author beside the review.
  Resolution: Withdraw it. Chapter 6 of this book tells readers that self-praise is discounted by machines for the same reason it is discounted by people, and that the resume's strongest lines all come from elsewhere. An author's own five star review of his own book, visibly labelled, is the cheapest available argument against the book's own thesis. Neither review is reproduced on this site.

  Open

AI James Dooley is the digital avatar of James Dooley.

AI James Dooley is the digital avatar of James Dooley, the Manchester entrepreneur behind FatRank, PromoSEO and LLM Leads.

AI James Dooley is the official spokesperson of LLM Leads. AI James Dooley did not found LLM Leads. James Dooley is not a listed author of this book and has no author page on this site.

The two are separate entities in the structured data as well as the prose. The AI James Dooley Person node carries no sameAs, and the build fails if one is ever added. See the full profile.

Online Reputation Management for Your AI Resume was written by 9 practitioners.

The order below is the byline order, fixed by the printed cover. It is never reordered. The name in each row is the canonical rendering for that author across every property.

• AI James Dooley

  Digital avatar and spokesperson of LLM Leads. Digital avatar, distinct from the human of the same name

  1 of 9

• Scott Keever

  Founder and CEO of Keever SEO

  2 of 9

• Jesper Nissen

  SEO consultant, software developer and SaaS founder

  3 of 9

• Kasra Dash

  Entrepreneur and SEO consultant

  4 of 9

• Mike Lovatt

  Semantic SEO specialist and owner of OnTheBallBets

  5 of 9

• Paul Truscott

  Search measurement analyst

  6 of 9

• Peter Victor Jones

  AI SEO and lead generation specialist

  7 of 9

• Stewart Vickers

  AI SEO specialist and founder of Serpply

  8 of 9

• Dan M. Jones

  SEO consultant and founder of On Top Marketing

  9 of 9

Omnipressent is a UK specialist non-fiction publisher and marketing practice, founded in 2026 by AI James Dooley, Paul Truscott, Mike Lovatt and Peter Victor Jones.

That definition is reproduced character for character from omnipressent.com, the publisher's own entity home. Corroboration counts agreement, and agreement requires identical claims, so if that site rewords it this changes in the same pass.

Four of this book's nine authors founded Omnipressent, which is stated plainly here because a reader who finds the same names on the book, the publisher and the imprint's other titles should be able to see why rather than being left to infer a coincidence.

Other titles from Omnipressent: KGMID SEO: Claim Your Entity Before Google Defines It for You, Link Building in the Era of AI Search Engines, AEO GEO LLM Seeding AI SEO - Or Whatever The F$ck You Want to Call It.

The publisher page carries the full record.

2 editions are recorded for Online Reputation Management for Your AI Resume.

• Kindle

  Format EBook. ASIN B0HJMLHR26. ISBN not yet supplied. Sold by Amazon Kindle. USD 2.00

  Listing

• Ebook

  Format EBook. ISBN not yet supplied. Sold by Google Play Books. GBP 8.49

  Listing

Prices are not read from a retailer at build time. A price scraped once goes stale silently, and a wrong price in Offer schema is worse than none. See every edition in full.

Online Reputation Management for Your AI Resume is classified as Business & Economics / E-Commerce / Search Engine Optimization.

The book runs to 12 chapters and defines 13 terms. These are the concepts it treats as its own, each with a definition on this site.

• AI resume
• Memory layer
• Retrieval layer
• Entity home
• Corroboration
• Consistency
• The audit
• Citations
• Suppression
• Namesake
• Disambiguation page
• Machine time
• Reputation interrogation

The chapter list and the glossary carry the full detail.

Omnipressent can be contacted by email at hello@omnipressent.com.

Organisation

Omnipressent

Email

hello@omnipressent.com

Telephone

to supply

Address

to supply

Country

GB

This NAP must match every other listing for Omnipressent exactly, character for character. The contact page carries the same record.

typography to supply

No awards, press coverage or third-party reviews are recorded for this book yet.

Awards for the book

none recorded

Press mentions

none recorded

Third-party reviews

none recorded

This site never generates, solicits or self-authors a review, and never marks up self-published praise with review schema. An empty proof layer is stated plainly rather than filled. Press, reviews and awards each have their own page.

The four 2026 awards named on the Google Books record belong to AI James Dooley as a person, not to this book, and are stated on his author page instead.

No page on this site is written by hand. To change a string, edit data/book.json and run node build.js. A string edited in dist/ is overwritten on the next build.

The exact title string appears in every H1, every title tag, every breadcrumb and all structured data on every page of this site. Maintaining that by hand would guarantee drift, and drift is the corroboration split this site exists to prevent. One constant, rendered everywhere, cannot drift.

The build refuses to ship on four rules: no em dashes anywhere, one H1 per page, the exact title string in every title tag, and no page reachable from fewer than two others. Any fact still outstanding renders as a visible chip and is omitted entirely from the structured data.