The Seller-Signal Radar - Score Every Owner on the Signals That Predict a Sale
Drop in a market and the radar scores every owner on the signals that actually predict a sale, equity, hold period, loan maturity, absentee ownership, and distress, then hands you a ranked list of the owners most likely to sell before they ever list. Built from an orchestrator (the Off-Market Radar) + 3 skills: a Signal Builder that normalizes your lawful records, a Sell-Propensity Scorer that runs a transparent 0-100 weighted model, and a Seller Watchlist that ranks, tiers, and re-runs to catch a seller the moment a signal fires. Each ships the Excel artifact it produces, pre-filled with a real 15-owner Miami scan (top likely seller scored 86, Urgent). Universal install in ChatGPT, Claude, Cursor, Gemini, and Claude Code.
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The Seller-Signal Radar - Score Every Owner on the Signals That Predict a Sale
Off-Market Radar
One drop-in, one run, a ranked list of likely sellers back, no analyst combing county records by hand. It runs in the tools you already pay for.
Want this running on your deal flow?
We can connect the workflow to your data, documents and team standards. Bring your buy box to a discovery call.
Includes the full Seller-Signal Radar - the orchestrator + 3 skills:
Off-Market Radar
One drop-in, one run, a ranked list of likely sellers back, no analyst combing county records by hand. It runs in the tools you already pay for.
Signal Builder
Stop hand-deriving equity, hold, and maturity from a dozen record types. Get one clean signal table per owner, consistent every time.
Sell-Propensity Scorer
Rank owners by a number you can defend, not a gut feel, with the factor breakdown ready when someone asks why.
Seller Watchlist
Walk away with a prioritized call list and a watchlist that gets smarter every month, instead of a static export you re-sort by hand.
Your next off-market deal is an owner who does not know they are selling yet. The Seller-Signal Radar scores every owner in a market on the things that actually predict a sale, equity, hold period, loan maturity, absentee ownership, and distress, and hands you a ranked list of likely sellers before any of them list. In the example, a 15-owner Miami scan surfaces one Urgent seller at the top (86/100), scored on a transparent, defensible model. You decide who to approach; it never contacts anyone. Free.
Get Started NowThe Seller-Signal Radar - Score Every Owner on the Signals That Predict a Sale
How do you find off-market sellers before they list a property?
What signals predict that a commercial property owner will sell?
Is the sell-propensity score defensible, and does the model tie out?
Where AI changes the answer
Finding an off-market seller has historically meant an analyst combing county assessor exports, deed history, and loan records by hand, then guessing who might be motivated. The Seller-Signal Radar collapses that into an orchestrator plus three skills any investor can run in the tools they already use: a Signal Builder normalizes lawful records into six clean signals (equity, hold, loan maturity, absentee, distress, other), a Sell-Propensity Scorer applies a transparent weighted 0-100 model with a defensible factor breakdown, and a Seller Watchlist ranks the likely sellers, tiers them into Approach now / Watch / Park, and defines re-run triggers that surface a seller the moment a loan crosses inside a year or a distress flag fires, with a human deciding who to approach and the radar never contacting anyone.