Case Study · AreesAI Investment ZIP Analyzer
Where to buy next, decided by live data — not a hunch.
Choosing a market is the highest-stakes guess in real estate. AreesAI replaces the guess with a live, five-factor score across 4,839 ZIP codes in 14 states — so an investor can see, today, exactly where the numbers work.
The Problem
The most expensive decision, made with the worst data.
Which market to buy in is the call that makes or breaks a real estate portfolio — and it's usually made on gut feel, a broker's opinion, or a stack of out-of-date reports. Comparing thousands of ZIP codes across a dozen states by hand is impossible, so investors anchor on the few markets they already know.
By the time a market looks obviously good, the yield is already gone. The edge is in seeing it in the data first — but that data is scattered across a dozen sources and formats.
What We Built
AreesAI — the Investment ZIP Analyzer.
A dashboard that reads live public data and turns it into one ranked, filterable buy list across every ZIP code it covers.
- Read live public data. Home values, rents, crime rates, and property taxes are pulled per ZIP code across 14 states — no manual data entry.
- Score five factors into one number. Yield, affordability, safety, tax efficiency, and market liquidity roll into a single transparent 0–100 score for every ZIP.
- Rank, filter, and sort. Filter by state, minimum yield, price range, and minimum score; sort by score, yield, price, rent, or crime — down to the exact buy box.
- Map it and export it. Visualize scores geographically, then export the shortlist to CSV to take straight into underwriting.
The Outcome
4,839 ZIP codes, ranked in seconds.
Instead of guessing between a handful of familiar markets, an investor opens AreesAI and sees the highest-scoring ZIP codes in the country — 96-point markets yielding 19.5% they'd never have found by hand — filters to their price range, and walks away with a documented, exportable shortlist.
"It surfaced markets I'd never have looked at — ranked, scored, and ready to underwrite. That's the whole game."
— Residential real estate investor (AreesAI user)
Built With
Live public-data ingestion
5-factor scoring model
14-state coverage
ZIP ranking & filters
Score map
CSV export