The public business record
Website · Maps · Profiles · Directories · Media · Reviews · Licences · Partners
The public sources from which systems and customers assemble an understanding of a business.
Before a business can be considered in an answer, the system must identify the correct business and connect the public information that belongs to it.
Recognized Before Recommended (RBR) is the principle that a business must first be identified correctly—and its public information connected to that same entity—before a search or AI system can confidently use its facts in an answer.
A business may have a website, map listing, social profiles, directory entries, reviews, licences, partner pages, and press coverage. If those sources appear to describe different businesses, the public record becomes harder to interpret. RBR asks whether the pieces form one believable business.
Website · Maps · Profiles · Directories · Media · Reviews · Licences · Partners
The public sources from which systems and customers assemble an understanding of a business.
Can the system identify the correct business and connect the information belonging to it?
Name · Location · Ownership · Relationships · Official links · Digital Handshake
Can the system find the right fact for the customer’s actual question?
Services · Specialties · Operating areas · Availability · Qualifications · Boundaries
Can the customer call, book, visit, order, or request a quote?
Recognition and retrieval only matter when the next step works.
The wording does not have to be identical everywhere. The underlying facts should agree.
A system may struggle to decide whether two names describe the same business, whether an old address is still valid, whether a profile is official, or whether a useful fact belongs to the business at all.
The website, public profiles, outside sources, location, phone number, ownership, and official relationships reinforce the same real-world business.
RBR is not legal verification, a licence check, a quality certificate, or a promise that a business will be chosen. It is a practical way to think about whether public information clearly describes the correct entity.
It is also not a secret ranking formula. Search and AI answers vary by time, location, wording, device, personalization, source access, and platform design.
That is where REG and the Digital Handshake enter the sequence.