REAL ESTATE BROKERAGE · DEAL MATCHING
AI Brokerage Deal Matching for Real Estate Brokerages
Match your buyers to your own listings before they go elsewhere. OutcomeCatalyst connects buyer criteria with active and upcoming inventory to surface in-house matches, helping the brokerage keep both sides of the commission. The interactive example below shows what it builds from your CRM and listing data.
AI brokerage deal matching: common questions
What is brokerage deal matching?
It is connecting buyer requirements with the brokerage’s own active and pipeline listings to surface matches early, so agents can pair in-house buyers and sellers and the brokerage can capture both sides of the commission where appropriate.
How does it increase commission income?
By finding in-house buyer and listing matches the brokerage already has, it creates more double-sided deals and keeps referrals inside the firm, subject to disclosure and dual-agency rules.
How is this different from searching the MLS?
MLS search is manual and one deal at a time. OutcomeCatalyst continuously matches every buyer against all inventory and alerts agents when a fit appears.
