How can an investor screen 50 commercial listings a week with AI?

To screen 50 listings a week, write your buy box down once (markets, property types, size, price range, minimum cap rate or yield) and let an AI analyst run every listing against it, returning a short ranked list with the reason each deal passed or failed. You then spend analyst time only on the five or six that deserve a full underwrite. A screening pass that works 1. Buy box first. A screen without written criteria turns into opinions. Put the numbers on one page: target markets, unit count or square feet, year built, maximum basis, minimum going-in cap rate, minimum DSCR at your typical leverage. 2. Read the facts, not the OM headline. For each listing, check the asking price against recent arm's-length sales nearby, the stated rents against market rents, and the stated NOI against the expense ratio typical for that asset. 3. Flag what breaks the deal. Loan assumptions that do not work at today's rates, rent rolls with large near-term expirations, a basis well above recent trades. 4. Rank, do not just filter. A ranked list with a one-line reason per deal is what lets a team move fast on Monday morning. What to expect from AI here AI is good at the repetitive part: reading 50 offering memorandums, pulling the same 20 figures out of each and comparing them to the market. It is not a substitute for a site visit or for your judgment on the sponsor and the story. Ask for every figure with its source and date, so you can see which ones came from the broker and which from records. How Titleman helps Titleman runs the screen across your deal flow, values each deal against comps it pulls itself and returns a ranked list where you work: email, your CRM or a spreadsheet. Anything that passes can go straight into a full underwriting. Learn more: https://titleman.ai/products/deal-review