Find Undervalued Real Estate Deals Automatically

Build an AI agent that monitors real estate listings 24/7, analyzes deals using your criteria, and alerts you to profitable opportunities before other investors find them.

What You'll Build

Your AI agent will continuously search for investment properties and analyze their potential. It can:

  • Monitor listing sites automatically including Zillow, Redfin, LoopNet, MLS feeds, foreclosure sites
  • Analyze deals with your criteria calculating cash flow, cap rate, ROI, and comparing to market comps
  • Research neighborhoods pulling crime stats, school ratings, development plans, and appreciation trends
  • Alert you instantly when properties meet your investment criteria with full analysis and links

Before You Start

  • An Everna account (sign up at app.everna.io)
  • Clear investment criteria (property type, location, budget, returns)
  • Understanding of real estate investment metrics
  • Email or SMS for instant deal alerts

How to Set It Up

1

Create Your Agent

Go to app.everna.io and click New Agent. Name it "Real Estate Deal Finder" or "Property Scout".

2

Define Your Investment Criteria

Tell your agent exactly what types of deals to find and how to analyze them. Here are three examples:

Example 1: Cash Flow Rental Properties

"Search for single family homes and small multifamily (2-4 units) in Austin, Texas within 30 minutes of downtown. Budget: $200k-$500k. Check Zillow, Redfin, and MLS feeds every 2 hours. For each property, calculate: estimated monthly rent using Rentometer, cash flow after mortgage/taxes/insurance (assume 20% down, 7% interest), and cash on cash return. Alert me via SMS when you find properties with 8%+ cash on cash return and positive monthly cash flow of at least $300. Include property details, your financial analysis, neighborhood crime stats, and recent comparable sales."

Best for: Buy and hold rental investors

Example 2: Fix and Flip Opportunities

"Monitor foreclosure sites, estate sales, and distressed property listings in Phoenix metro area. Look for single family homes priced 20%+ below comparable recently sold homes in same neighborhood. Check condition indicators: photos show deferred maintenance, descriptions mention 'needs TLC' or 'handyman special', no recent renovations. Calculate potential: find comps for renovated homes, estimate renovation costs based on square footage and condition, determine potential profit using 70% rule. Send me email alerts for properties with estimated profit potential over $50k including your full analysis and renovation cost breakdown."

Best for: House flippers and renovation investors

Example 3: Commercial Value Add Deals

"Search LoopNet and commercial brokers for small retail/office buildings in Denver. Target: 5,000-15,000 sq ft, $1M-$3M purchase price, occupancy below 75%. Analyze cap rate based on current income, then calculate potential cap rate if brought to 90% occupancy at market rents. Research each property's submarket: employment growth, new development activity, tenant demand. Alert me to deals where stabilized cap rate would be 8%+ and current asking price is below replacement cost. Send weekly digest email with top 5 opportunities ranked by potential value add, including detailed pro forma for each."

Best for: Commercial real estate value add investors

3

Connect Required Tools

Enable the tools your agent needs:

  • Web Browser - Access listing sites and research properties
  • Data APIs - Pull rent estimates, comps, demographics, crime data
  • Notifications - Send instant alerts via SMS or Email
  • Spreadsheet Access - Track all analyzed properties in Google Sheets
4

Launch Your Deal Finding Agent

Click Create Agent to deploy. Your agent will start scanning listings immediately. Be ready to move fast when you get alerts about good deals.

Review early alerts to verify analysis accuracy and adjust criteria if needed.

Best Practices for Automated Deal Finding

Define Clear Investment Criteria

Be specific about minimum returns, maximum price, location constraints, and property condition. Vague criteria result in too many irrelevant alerts.

Verify Agent Calculations

Always double check the numbers before making offers. Agent estimates for rents, repairs, and values may not account for all local factors. Use agent analysis as first filter, not final decision.

Act Fast on Good Deals

Undervalued properties get snatched up quickly. When you get an alert, review it same day and schedule showing or make offer within 24-48 hours if numbers work.

Track All Analyzed Properties

Have your agent log every property analyzed to a spreadsheet. Review monthly to understand market trends and refine your criteria based on what's actually available.

Monitor Multiple Sources

Best deals often appear on less popular sites first. Monitor MLS, Zillow, Redfin, foreclosure sites, FSBO listings, and wholesaler networks to maximize coverage.

Common Issues and Solutions

Not finding any deals that meet criteria

Your criteria may be too strict for current market. Relax one constraint at a time (location radius, minimum return, max price) to see more options. Market conditions may require adjusting expectations.

Agent rent estimates seem inaccurate

Provide your agent with local market knowledge. Give examples of recent actual rents. Have it check multiple sources and weight local property manager estimates more heavily than algorithm estimates.

Missing listings before other investors

Increase check frequency to every 30-60 minutes for hot markets. Set up instant SMS alerts. Have your agent monitor new listings before they hit major sites by checking MLS feeds directly if possible.

Deals look good on paper but have hidden issues

Automated analysis can't replace due diligence. Always inspect properties, verify rent estimates with local property managers, get contractor repair estimates, and review actual expenses from seller.

Next Steps