Anyone using Chat GBT / AI for researching markets and general RE business?

[Brian Teeter]

I m really loving AI as a tool and find it helpful in business and research. This is a great starting point for investors looking for a market.  For example, researching my market, Little Rock, it says:

🏘️ Little Rock, AR – SFR Investment Market Overview

🔹 Market Snapshot

• Median Home Price: ~$190,000 (well below national average)
• Median Rent (3BR SFR): ~$1,200–$1,450
• Rent-to-Price Ratio: ~0.7%–0.9% (higher in some zip codes)
• Cap Rate Potential: ~6%–9% (depending on neighborhood & condition)
• Vacancy Rate: ~5%–6%, lower in workforce housing neighborhoods

📈 Why Investors Like Little Rock

1. Strong Rent Yields
   • Home prices are low relative to rent, ideal for cash flow-focused investors.
   • Many zip codes in Little Rock exceed the 1% rent rule.
2. Landlord-Friendly Laws
   • Arkansas ranks among the most landlord-friendly states.
   • Quick eviction process, low regulatory friction.
3. Diverse Economy
   • Major employers include healthcare systems, state government, logistics hubs (FedEx, Amazon), and aerospace.
   • Home to the University of Arkansas for Medical Sciences (UAMS).
4. Stable Tenant Base
   • High percentage of renters (estimated ~42–45% in Pulaski County).
   • Strong demand in B-class and workforce neighborhoods.
5. Underserved by Institutional Investors
   • Less competition than Sunbelt cities like Dallas or Charlotte.
   • Room for growth and acquisition before prices inflate further.

I agree and find the above accurate! When I search: What are the best investment markets for single family rentals? Data lists:

The best U.S. markets for single-family rental (SFR) investments in 2025 typically share a few key traits:

• Strong population and job growth
• Affordable home prices relative to rent
• Landlord-friendly laws
• Stable or rising rent demand

Here’s a breakdown of top-performing SFR markets, grouped by strategy:

🔁 Best Cash Flow Markets (High Rent-to-Price Ratio)

These markets offer low acquisition prices with strong rental returns.

1. Cleveland, OH
   • Low prices, steady rent demand
   • Good for BRRRR or long-term holds
2. Birmingham, AL
   • Landlord-friendly, affordable, 1%+ rent yields
   • Strong rehab and turnkey ecosystem
3. Indianapolis, IN
   • Solid infrastructure and job growth
   • Consistent investor performance
4. Memphis, TN
   • High cash flow, robust PM networks
   • Institutional interest, steady tenant demand
5. St. Louis, MO
   • Undervalued neighborhoods
   • Good rent stability and section 8 options

📈 Best Appreciation + Growth Markets

These have seen rising home values and job migration, ideal for long-term upside.

1. Charlotte, NC
   • Rapid growth, banking/tech hub
   • Low vacancy and increasing rents
2. Tampa, FL
   • Strong in-migration, no income tax
   • Airbnb and long-term options
3. Phoenix, AZ
   • Massive growth during COVID migration
   • Tight inventory, rising rents
4. Nashville, TN
   • Booming job market and rising population
   • Still has mid-tier housing prices
5. Raleigh-Durham, NC
   • Tech corridor, research & education
   • High tenant quality and low delinquency

🧱 Emerging / Hybrid Markets

Good mix of appreciation, rent growth, and cash flow.

1. Little Rock, AR
   • Affordable SFR stock
   • Good rent yields, growing investor interest
2. Columbia, SC
   • Stable government employment base
   • High rent-to-value ratio
3. Huntsville, AL
   • Rocket/military economy
   • Excellent long-term growth and landlord laws
4. Kansas City, MO
   • Balanced market with investor tools
   • Job growth and diverse economy
5. Jacksonville, FL
   • Port city, military, healthcare hub
   • High SFR demand and tax benefits

🚨 Caution Zones (Often Overheated or Low ROI)

• Austin, TX
• Los Angeles, CA
• San Francisco Bay Area
• Seattle, WA
• New York City

These cities may have strong appreciation but generally low rental yields, high taxes, or tenant-unfriendly laws.

Anyone else using AI in their real estate business????  Any pro tips?

[Andrea McClary]

I've been using for tweaking documents, branding statements, and things like 30 sec commercials for networking. I just recently started playing around with it for researching markets and I'm going to test the results by making some calls.

To @Ken M. point, it's not going to mention changes unless you prompt ai for it. I would recommend adding to your research prompts is if there are any insurance issues and/or regulations for STR/MTR for the area you're concentration on.

For what I've found so far it does give a good starting point and I have to keep giving prompts for it to go deeper. I'll have to check out the deep search feature that @Myka Artis mentioned.