Point outward
The official website links to the correct profiles, accounts, booking pages, locations, and public resources.
Retrieval Engine Guidance
Truth has to be public enough to retrieve.
Once a system has the correct business, it still needs the right fact for the customer’s actual question.
REG in plain English
Make the useful facts clear enough to find and repeat.
Retrieval Engine Guidance (REG) is the work of making useful facts clear, accessible, current, and connected to the correct business.
A business can be recognized and still fail to answer the question. A restaurant may be real but never state whether it takes reservations. A contractor may be established but never publish the towns it serves. An advisor may be qualified but describe the specialty only in vague marketing language.
The machine cannot retrieve a fact that has never been made public. Private knowledge may be true. Online, it carries no weight until it is made public.
The Digital Handshake
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Official sources should recognize one another.
The Digital Handshake is the practical connection between a business’s official website, its public accounts, and the outside sources that help confirm the same real-world entity.
Point back
Those profiles and accounts identify the official website and use facts that agree with the business’s public identity.
Confirm the same business
Name, location or operating area, working phone, ownership, and outside references reinforce the relationship.
Two different problems
Recognition and retrieval are related—not interchangeable.
| Condition | What it means | Likely problem |
|---|---|---|
| Recognition without retrieval | The system appears to know which business is yours. | It cannot find the specific fact needed to fit the customer’s question. |
| Retrieval without recognition | A relevant fact exists somewhere online. | The fact may be attached to the wrong business, an uncertain source, or an identity the system cannot confidently connect. |
| Recognition plus retrieval | The correct business and the relevant public fact are connected. | The remaining question is whether the customer can take a working next step. |
A practical review
Ask these questions about your public record.
Can a system identify us?
Is the name clear? Are current location and operating area public? Do the website and major profiles identify one another? Are old or duplicate facts still circulating?
Can a system answer for us?
Are services specific? Are specialties and boundaries stated plainly? Is proof available? Are the facts current and easy to find in ordinary page text?
Can an outside source confirm us?
Do trusted directories, licences, partners, media, reviews, and professional associations describe the same business accurately?
Can the customer act?
Do the phone, booking, quote, visit, order, and contact routes work on the device the customer is using?
GEO, without the fog
This work builds on search. It does not replace it.
In the book, generative engine optimization describes work intended to improve how accurate public information can be found, understood, and used by generative systems. Sound websites, useful content, local-search fundamentals, credible outside references, and working customer paths still matter.
REG does not promise that an AI system will cite, include, recommend, or select a business. Systems change, sources differ, and answers vary. The aim is more modest and more durable: make the public truth about the business easier to interpret.
The full framework is in the book.
Including the thirty-day visibility reset, reader toolkit, glossary, and evidence notes.