What agents and investors ask PropGPT.
From a listing-prep ARV to a 4,000-lead pull — point PropGPT at your market and let it run. Real prompts, by role.
From a listing-prep ARV to a 4,000-lead pull — point PropGPT at your market and let it run. Real prompts, by role.
Six roles, six distinct kinds of answers. Ask in plain English. The model reasons through which skills to run.
You: Here are 14 photos of 1247 Maple — what should my seller fix before listing, and what's a realistic ARV?
PropGPT: room-by-room condition read · ARV as-is vs. renovated · prioritized fix list with est. ROI · seller-ready talking points
You: Realtor-grade CMA for 1247 Maple Ave, ready to present.
PropGPT: 12 comps · adjusted & reconciled · value range · lender-grade AVM cross-check · branded PDF
You: Find 3/2 SFRs in Columbus MSA under $180K, needs work, 30%+ below ARV.
PropGPT: 87 candidates · ranked by ARV delta · comps attached · skip-traceable owners flagged
You: Absentee owners, 10+ years owned, high equity, sub-market medians.
PropGPT: 4,210 leads · deduped across counties · exportable for dialer · owner contact ready
You: MSAs where rent growth outpaced price appreciation in the last 12 months.
PropGPT: 9 MSAs · rent/price YoY · vacancy · cap-rate floor · city-level drill-down
You: Multi-family 50+ units acquired by institutional buyers in Tampa MSA, 2024.
PropGPT: 58 deals · buyer concentration · loan terms · going-in cap rates · press-release cross-ref
Run a realtor-grade CMA, pressure-test a list price, or read a seller's photos for what to fix before listing — without leaving the chat or fighting your MLS interface.
Find undervalued, value-add inventory and rank it by spread before you ever drive a property.
Build big, clean, deduped lead lists with owner contacts ready for the dialer.
Size markets, compare cash flow, and find where rent is outrunning price.
Track who's buying what — cluster-buying, institutional acquisitions, and the loan terms behind them.