KGMID SEO

Media kit

Media kit

Every image, profile and brand value behind KGMID SEO: Claim Your Entity Before Google Defines It for You, with each file's real dimensions and weight so nothing has to be downloaded to be identified.

What is in this media kit?

This media kit holds 20 image files, 6 author photographs and the brand values used across kgmidseo.com.

It is the companion to the press kit, which holds the approved copy, the key facts and the publisher boilerplate. Anything about how the book must be worded lives on the single source of truth.

Every file below is served from this domain over HTTPS. Sizes and dimensions are read off the files themselves when the site is built, so they describe what actually ships rather than what was last written down.

Which cover images are available?

The cover artwork is available in 4 files, at two widths in two formats.

Alt text, ready to use: Front cover of KGMID SEO, showing a glowing network of linked nodes over a wireframe globe on a near-black ground, with the subtitle Knowledge Graphs, Entities and AI Search and the four author names beneath

One note on the artwork. The cover sets the subtitle as Knowledge Graphs, Entities and AI Search, which is NOT the subtitle in the manuscript. Quote the manuscript title until the two are reconciled.

Which author photographs are available?

6 of the 8 authors have a photograph on file.

Where each portrait came from is stated on its row, because it decides who you ask before publishing it. 2 were sent to us by the author, 2 are published on a domain that author controls, and 2 come from a site someone else controls: AI James Dooley (fatrank.com), Vaibhav Sharda (autoblogging.ai). Those 2 are not ours to license.

Widths differ because several were supplied small, and nothing has been upscaled to make the list look even.

  • AI James Dooley

    /assets/img/authors/ai-james-dooley-320.webp (WebP, 320px, 12 KB)
    /assets/img/authors/ai-james-dooley-640.webp (WebP, 640px, 40 KB)
    /assets/img/authors/ai-james-dooley-320.jpg (JPEG, 320px, 35 KB)
    /assets/img/authors/ai-james-dooley-640.jpg (JPEG, 640px, 112 KB)
    Published on a third-party site, fatrank.com

  • Paul Truscott

    /assets/img/authors/paul-truscott-212.webp (WebP, 212px, 5 KB)
    /assets/img/authors/paul-truscott-212.jpg (JPEG, 212px, 14 KB)
    Published on their own site, paultruscott.com

  • Mike Lovatt

    /assets/img/authors/mike-lovatt-319.webp (WebP, 319px, 11 KB)
    /assets/img/authors/mike-lovatt-319.jpg (JPEG, 319px, 27 KB)
    Published on their own site, mikelovatt.com

  • Peter Victor Jones

    /assets/img/authors/peter-jones-320.webp (WebP, 320px, 12 KB)
    /assets/img/authors/peter-jones-640.webp (WebP, 640px, 41 KB)
    /assets/img/authors/peter-jones-320.jpg (JPEG, 320px, 29 KB)
    /assets/img/authors/peter-jones-640.jpg (JPEG, 640px, 83 KB)
    Supplied by the author

  • Luke Bastin

    /assets/img/authors/luke-bastin-287.webp (WebP, 287px, 15 KB)
    /assets/img/authors/luke-bastin-287.jpg (JPEG, 287px, 33 KB)
    Supplied by the author

  • Vaibhav Sharda

    /assets/img/authors/vaibhav-sharda-320.webp (WebP, 320px, 11 KB)
    /assets/img/authors/vaibhav-sharda-320.jpg (JPEG, 320px, 28 KB)
    Published on a third-party site, autoblogging.ai

Reuse terms: to supply No reuse licence has been agreed in writing yet, so ask before publishing rather than relying on this page.

How is each author described?

KGMID SEO: Claim Your Entity Before Google Defines It for You was written by 8 practitioners, listed here in the byline order fixed by the printed cover.

The name in each row is the canonical rendering for that author and should not be shortened, expanded or reordered.

  • AI James Dooley

    Digital avatar and spokesperson of LLM Leads. AI James Dooley writes Chapter 15, arguing that the machine ID is the asset, and is the subject of the book's case study.

    1 of 8
  • Jesper Nissen

    SEO consultant, software developer and SaaS founder

    2 of 8
  • Paul Truscott

    Search measurement analyst. Paul Truscott writes two chapters: Chapter 8 on relationship facts, and Chapter 16 on reading Entity Confidence the way a technical analyst reads a market.

    3 of 8
  • Mike Lovatt

    Semantic SEO specialist and owner of OnTheBallBets. Mike Lovatt writes Chapter 17, on why nobody is too small for a KGMID.

    4 of 8
  • Peter Victor Jones

    AI SEO and lead generation specialist. Peter Victor Jones writes Chapter 18, on why Share of Answer starts at the entity, and coined Entity Confidence, the metric the whole book optimises.

    5 of 8
  • Luke Bastin

    Information Retrieval strategist. Luke Bastin writes Chapter 20, placing the KGMID in the history of information retrieval, from RDF and the semantic web through to entity-aware measurement.

    6 of 8
  • Germans Frolovs

    Head of SEO and Content at SimplerQMS. Germans Frolovs writes Chapter 21, arguing that a KGMID tells Google who you are while a topical map tells Google what you know.

    7 of 8
  • Vaibhav Sharda

    Founder and technologist. Vaibhav Sharda writes Chapter 22, the book's dissenting chapter, arguing the ID is a receipt rather than a lever.

    8 of 8

AI James Dooley is a digital avatar and a separate entity from James Dooley, who is not an author of this book and has no page on this site. AI James Dooley is the digital avatar of James Dooley, the Manchester entrepreneur behind FatRank, PromoSEO and LLM Leads. Every word of the AI James Dooley chapter in this book was written by the human.

What are the brand colours and typefaces?

The site is set in Satoshi and Zodiak.

Display and interface
Satoshi. Weights 400 to 800, served by Fontshare
Editorial
Zodiak. Weights 400 and 500, used for extracts

Palette

Ink, primary text
#0B0B0C
Paper, page ground
#FBFBF9
Accent
#DC9CFC
Accent pressed state
#CC6FFB
Accent tint
#F7E9FE
Hairline rules and card borders
#E4E4DE

The same system as the two sibling entity homes, aeogeollmseeding.com and linkbuildingintheeraofaisearchengines.com, with a third accent. There is no cover artwork to sample from, so the accent was chosen to sit apart from the sibling lime and cyan rather than derived from anything. Revisit it when a cover exists.

Which official records describe this book?

No external record of this book has been confirmed yet.

to supply

These are the places a retrieval system can go to confirm the book described here is the book described there. Each author's own verified profiles are listed on their author page.

How must the book be described?

KGMID SEO: Claim Your Entity Before Google Defines It for You is a practitioner playbook on Google's Knowledge Graph machine ID, written by eight working practitioners for Omnipressent.

Use that sentence exactly. It is the wording this site treats as canonical, and any variation splits corroboration across the records that matter most. It is not yet on the Amazon or Google Books listings, which as of 13 August 2026 both open with different sales copy.

The single source of truth records every canonical string for this book, including the rules on rendering the title, the publisher name and each author's name, and the handful of facts still in conflict across their sources.

Who should media contact?

Media enquiries go to Omnipressent at hello@omnipressent.com.

Organisation
Omnipressent
Telephone
to supply
Country
GB

The press kit carries the approved copy and the publisher boilerplate. The contact page carries the same details as above.