Why AI companies want real estate data
Transactions are long, multi-party workflows with deadlines, contingencies and handoffs between agents, lenders, title and inspectors. Brokerages that document them well hold a detailed map of how a deal actually closes.
What's licensable in real estate
| Data | Examples |
|---|---|
| Transaction checklists | Contract-to-close timelines, contingency tracking |
| CRM pipeline history | Lead stages, follow-up cadences, conversion history |
| Agent playbooks | Listing presentations, pricing approach, objection handling |
| Compliance procedures | File review, disclosure checklists |
| Training programs | New-agent onboarding and coaching materials |
What to leave out
Client personal and financial information, signed contracts tied to individuals, and MLS data, which is governed by your MLS's terms. See client data vs. company data.
How to raise your value
Pipeline history with stage timestamps shows how deals really move. That's more valuable than the listing data everyone already has. Connected records (the SOP, the work done under it and the outcome) are worth more than isolated files. More in what drives data value.
Do you qualify?
- 30+ employees
- Written processes and established documentation
- English-language docs
- US-based companies get priority
Take the 60-second estimate to see which payout tier fits your company.
Frequently asked questions
Can real estate companies sell their data to AI?
Yes. Real estate brokerage companies with 30+ employees and documented processes can license operational data such as SOPs, workflows and training materials. Published payouts start at $100K (micro1).
What real estate data can't be sold?
Client personal and financial information, signed contracts tied to individuals, and MLS data, which is governed by your MLS's terms.