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 NowQuestions real estate teams ask
How do you find off-market sellers before they list a property?
You score owners on the signals that predict a sale, not the listings. This free Seller-Signal Radar scores every owner in a market on equity position, hold period, loan maturity, absentee ownership, and distress, then ranks the owners most likely to sell before they ever list. It is an orchestrator plus three skills: a Signal Builder that normalizes your lawful records into clean signals, a Sell-Propensity Scorer that runs a transparent 0-100 weighted model with a Cold/Warm/Hot/Urgent band, and a Seller Watchlist that ranks, tiers, and re-runs to catch a seller the moment a signal fires. In the example, a 15-owner Miami scan surfaces one Urgent seller at the top, scored 86.
What signals predict that a commercial property owner will sell?
The strongest are: high equity (they can transact without a short sale), a long hold (closer to a natural exit or a stepped-up basis), a loan maturing inside 12 months (a forced decision), absentee or out-of-state ownership (remote owners let assets go quicker), and distress (tax delinquency, code violations, deferred maintenance). The Seller-Signal Radar weights these into a single 0-100 score. You supply the underlying data from lawful sources (county assessor and recorder, the Secretary of State registry, mortgage and lien records); the model structures and scores it, and never contacts anyone.
Is the sell-propensity score defensible, and does the model tie out?
Yes. The Sell-Propensity Scorer uses a transparent weighted model with the weights stated up front (equity 25, hold 20, loan maturity 25, absentee 12, distress 12, other 6), and every owner's overall score is the exact weighted sum of its per-signal sub-scores, shown in a factor breakdown. In the pre-filled example, 1180 Brickell scores 86 (Urgent) and the breakdown ties to 85.98, so you can defend any ranking in an IC. A human decides who to approach; the radar surfaces and ranks, never contacts an owner.
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.