What data does AI use to find agents to recruit?

AI uses several types of data to find agents worth recruiting. Public MLS records show who is listing and closing homes in your market. The tool can see sales volume, deal count, price range, and how active the agent has been over the past year.

Some tools also use license data from state boards. This shows when an agent got licensed, where they work, and if their license is current. That helps you avoid reaching out to agents who have left the business.

Website behavior is another signal. If an agent visits your careers page, reads your blog, or clicks on a recruiting ad, the tool captures that interest. It connects the visit to a profile so your recruiter knows the agent is already curious. This behavioral tracking is one way AI identifies agents who are ready to switch brokerages.

Social media activity and online reviews can also add context. AI pulls these details together into one view through built-in integrations. Your recruiter does not have to search five different sites. They open one profile and see everything they need to start a good conversation.