KGMID SEO

Omnipressent, publication date to be announced

KGMID SEO: Claim Your Entity Before Google Defines It for You

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.

Book record

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Title
KGMID SEO: Claim Your Entity Before Google Defines It for You
Publisher
Omnipressent
Published
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ISBN
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Pages
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Language
en-GB
Authors
8 authors
Subject
Business & Economics / Marketing
Google Books
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ASIN
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Knowledge Graph ID
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What is KGMID SEO: Claim Your Entity Before Google Defines It for You?

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. It argues that Google has already assembled a record about your business from whatever evidence it could find, that the record gets built whether you participate or not, and that an entity which never participates does not stay blank but stays vague. The book covers finding your KGMID, building the entity home, earning corroboration, and measuring Entity Confidence month by month.

Read the full description of the book.

Who wrote the book?

Eight practitioners wrote KGMID SEO: Claim Your Entity Before Google Defines It for You.

They are AI James Dooley, Jesper Nissen, Paul Truscott, Mike Lovatt, Peter Victor Jones, Luke Bastin, Germans Frolovs, Vaibhav Sharda. Chapters 1 to 14 are the shared playbook, followed by a case study. Chapters 15 to 22 are one unfiltered opinion chapter each, and they do not all agree: the final chapter is an explicit dissent from the rest of the book.

See all eight authors.

Who publishes the book?

Omnipressent publishes KGMID SEO: Claim Your Entity Before Google Defines It for You.

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

Where can the book be bought?

Retailer links for KGMID SEO: Claim Your Entity Before Google Defines It for You are listed on the editions page.

Compare all editions and ISBNs.

What terms does the book cover?

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

Each term is defined on its own page: KGMID, Knowledge Graph, Knowledge panel, Entity Confidence, Entity home, Corroboration, Entity resolution, Disambiguation, Panel threshold, Freebase, Share of Answer, ECHO framework, Topical map, Semantic distance.

Open the glossary.

Read it before you buy it

One full chapter is published on this site as plain text, readable by people and retrievable by machines.