Bright MLS and CoreLogic Partner to Deploy AI Property Matching at Scale

Bright MLS, the largest multiple listing service in the Mid-Atlantic region with more than 100,000 subscribers, announced a partnership with CoreLogic this week to deploy an AI-powered property matching system that will surface relevant listings for buyers before they reach public-facing portals like Zillow and Realtor.com. The integration is expected to go live for Bright subscribers in the second quarter.

The technology works by analyzing a buyer's search history, saved properties, and agent-entered preference data to generate a ranked list of properties that match their criteria — including properties not yet formally listed but identified as likely pre-market through CoreLogic's proprietary predictive analytics. CoreLogic's data layer draws on more than 4.5 billion property records and includes signals like permit activity, tax delinquency, and ownership duration to identify homeowners statistically likely to list in the coming 90 days.

For agents representing buyers, the system could provide a meaningful competitive advantage in markets where inventory remains tight. Being notified of a likely pre-market listing days or weeks before it officially hits the MLS gives buyer agents time to reach out to listing agents and potentially structure off-market transactions — a capability previously available only to agents with extensive personal networks or access to expensive third-party prospecting tools.

Bright MLS CEO Brian Donnellan said the partnership represents a significant evolution in how the MLS serves its members. 'Our members have told us they want intelligence, not just data,' Donnellan said. 'This integration turns our data advantage into a real-time tool that helps agents serve buyers more effectively in a competitive market.'

Privacy advocates have raised questions about the use of predictive analytics to identify homeowners who have not expressed any intent to sell. CoreLogic and Bright MLS both emphasized that the system relies entirely on publicly available property data and does not use private personal information. Agents who contact predicted sellers are required to comply with existing do-not-contact regulations.

The deal is the latest in a series of technology partnerships reshaping the MLS landscape. As portals like Zillow and Opendoor continue building direct consumer relationships, MLS organizations are under pressure to demonstrate unique value to their agent-members. AI-powered tools that deliver intelligence unavailable through consumer-facing platforms are emerging as a key differentiator.