AI for Real Estate Investors · Starter Kit
Use AI to build a cleaner deal-flow queue.
A simple workflow for sourcing, screening, scoring, and following up on real estate opportunities without letting software make the acquisition decision.
The workflow
Source, screen, score, follow up, review
- Source. Pull leads from brokers, county records, stale listings, referrals, operator forums, and direct research.
- Screen. Remove anything outside the buy box before it eats attention.
- Score. Rate motivation, asset fit, financing path, and diligence risk.
- Follow up. Draft short, specific messages and reminders that keep the relationship human.
- Review. Bring the best opportunities to a weekly human decision session.
AI prompt: first-pass lead screen
Use this property or owner information to create a first-pass acquisition screen.
Return: asset summary, possible motivation signals, buy-box fit, missing diligence items, suggested follow-up question, and pass/watch/pursue recommendation.
Do not make the acquisition decision. Make the next human step clearer.
Weekly review card
Lead: [asset or owner]
Source: [broker, county record, referral, stale listing, direct research]
Motivation: [retirement, operational fatigue, stale listing, debt, repairs, succession]
Fit: [asset type, market, size, price, financing, operations]
Missing proof: [financials, occupancy, rent roll, utilities, permits, debt]
Next action: [call, email, request records, ask broker, pass]
The human rule
AI should help you remember, compare, summarize, and prepare. It should not decide whether you buy the asset, trust the seller, accept the financing structure, or skip diligence. The investor still owns the decision.