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.
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.