Entity Engineering is now Open for Pre-Order

Why does a book about entity engineering matter right now?

Because search stopped rewarding keywords and started looking you up as an entity — and if the machine can’t confidently say who you are, you are left out of the answer entirely. For twenty years, getting found meant matching words on a page to words in a query. That era is over. Google and the AI assistants your customers already use — ChatGPT, Gemini, Perplexity — now resolve your name to a specific thing in the world, pull everything the web says about it, and decide whether to trust you enough to cite you. By 2026, Google’s AI Overviews were appearing on roughly half of real user queries (Grossman et al., SIGIR 2026). The lookup is the new front door, and most businesses have no idea what it says about them.

What is Entity Engineering, and who is it for?

Entity Engineering is a practical field guide to being recognized: a step-by-step system for making your identity clear, corroborated, and machine-readable everywhere machines look. It is written for the people who do the work — SMB owners, marketing teams, agency practitioners, and personal brands — not for theorists. Inside, Kim Harris walks through the whole discipline: how the knowledge graph decides what is real, how to declare yourself in schema, how to build a Wikidata item that survives review, how to earn the corroboration that machine trust is built on, how to measure it with a spreadsheet instead of an enterprise tool, and how to write content AI actually cites. It is organized around the Periodic Table of Entity Engineering — sixty-four signals in seven groups — and it ends with a thirty-day plan you can start on a Monday.

Why pre-order instead of waiting for launch?

Pre-ordering reserves your copy, gets your eBook into your hands the moment it releases, and directly backs an independent launch. There is no publisher warehouse here — this is a self-published book from Quantum Quill Digital, and every pre-order helps set the print run and signals that the work matters. You also lock in the launch price. And, honestly, the problem the book solves is getting worse every month you wait: the longer your entity goes unmanaged, the more the machines decide about you without your input.

Which format should I choose, and what does it cost?

Both, if you can — the eBook for instant, searchable access the day it launches, and the paperback to mark up and keep on your desk while you work the checklists. Pricing starts at $34.99, and you choose your format right on the product page. The paperback is print-on-demand, so it is produced fresh for your order rather than sitting in a warehouse.

When does it ship, and how does a pre-order work?

Entity Engineering ships November 1, 2026, and your pre-order is charged today and fulfilled on release. On launch day, your eBook is delivered immediately; your paperback ships from our print partner within four days of release. If your plans change, you can cancel any pre-order for a full refund any time before it is fulfilled — the details are in our refund policy. Reserve your copy on the pre-order page.

What will I be able to do after reading it?

You will be able to see yourself the way machines do — and fix what they get wrong. Specifically: diagnose whether Google and the major AI assistants recognize you, confuse you, or don’t know you exist; declare your identity in structured data that machines parse; anchor yourself in Wikidata; earn the independent corroboration that trust is built from; unify and defend your entity across your site and profiles; and write answer-first content that gets you retrieved and cited. That is the difference between being the source an AI names and being invisible while a weaker competitor gets quoted instead.


Written by the team at Quantum Quill Digital. Pre-order Entity Engineering by Kim Harris on the pre-order page, shipping November 1, 2026. Source: Grossman et al., SIGIR 2026 (AI Overviews incidence).

Quantum Quill Digital helps SMBs and marketing teams build entity-first visibility across search and AI. Authority, Engineered.

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