Client deliverable
One accurate record of who your team is.
An AI Entity & Evidence Profile organizes the facts about a team into one consistent, crawlable, source-linked record that humans and AI systems can read the same way.
What the profile organizes
- Official name
- The single canonical name used everywhere.
- Name variants
- Documented alternates, legacy names and common misspellings.
- Team members
- Names, roles and licensing, attributed consistently.
- Brokerage
- Current affiliation, with prior affiliations retired from live profiles.
- Markets and neighborhoods
- Explicit service areas rather than implied ones.
- Buyer and seller specialties
- Transaction types and client situations actually served.
- Verified production
- Closed volume and sides, with the source of verification stated.
- Awards and credentials
- Issuer, year and verification link where one exists.
- Languages
- Languages the team serves clients in.
- Service areas
- Geographic coverage, stated unambiguously.
- Contact information
- One consistent set of contact details.
- Frequently asked questions
- Direct answers to real buyer and seller questions.
- Source links
- Links to the records that substantiate each claim.
- Last-updated date
- Visible on the page, maintained as facts change.
Why it exists
Most entity problems we measure are not exotic. They are three different spellings of a team name, a profile still listing a brokerage the team left two years ago, and a production figure that appears three different ways across four sources. A single maintained record makes those contradictions visible and fixable.
The profile is an implementation artifact connected to the entity clarity analysis. It is not a guarantee of visibility.
What this cannot prove
- Publishing a profile does not make an AI system recommend or cite a team.
- Only facts that can be substantiated belong in it.
- It must be maintained; a stale record reintroduces the contradiction it was built to remove.
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