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 • Strong Rent YieldsHome prices are low relative to rent, ideal for cash flow-focused investors.Many zip codes in Little Rock exceed the 1% rent rule. • Home prices are low relative to rent, ideal for cash flow-focused investors. • Many zip codes in Little Rock exceed the 1% rent rule. • Landlord-Friendly LawsArkansas ranks among the most landlord-friendly states.Quick eviction process, low regulatory friction. • Arkansas ranks among the most landlord-friendly states. • Quick eviction process, low regulatory friction. • Diverse EconomyMajor employers include healthcare systems, state government, logistics hubs (FedEx, Amazon), and aerospace.Home to the University of Arkansas for Medical Sciences (UAMS). • Major employers include healthcare systems, state government, logistics hubs (FedEx, Amazon), and aerospace. • Home to the University of Arkansas for Medical Sciences (UAMS). • Stable Tenant BaseHigh percentage of renters (estimated ~42–45% in Pulaski County).Strong demand in B-class and workforce neighborhoods. • High percentage of renters (estimated ~42–45% in Pulaski County). • Strong demand in B-class and workforce neighborhoods. • Underserved by Institutional InvestorsLess competition than Sunbelt cities like Dallas or Charlotte.Room for growth and acquisition before prices inflate further. • Less competition than Sunbelt cities like Dallas or Charlotte. • Room for growth and acquisition before prices inflate further. • Home prices are low relative to rent, ideal for cash flow-focused investors. • Many zip codes in Little Rock exceed the 1% rent rule. • Arkansas ranks among the most landlord-friendly states. • Quick eviction process, low regulatory friction. • Major employers include healthcare systems, state government, logistics hubs (FedEx, Amazon), and aerospace. • Home to the University of Arkansas for Medical Sciences (UAMS). • High percentage of renters (estimated ~42–45% in Pulaski County). • Strong demand in B-class and workforce neighborhoods. • 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. • Cleveland, OHLow prices, steady rent demandGood for BRRRR or long-term holds • Low prices, steady rent demand • Good for BRRRR or long-term holds • Birmingham, ALLandlord-friendly, affordable, 1%+ rent yieldsStrong rehab and turnkey ecosystem • Landlord-friendly, affordable, 1%+ rent yields • Strong rehab and turnkey ecosystem • Indianapolis, INSolid infrastructure and job growthConsistent investor performance • Solid infrastructure and job growth • Consistent investor performance • Memphis, TNHigh cash flow, robust PM networksInstitutional interest, steady tenant demand • High cash flow, robust PM networks • Institutional interest, steady tenant demand • St. Louis, MOUndervalued neighborhoodsGood rent stability and section 8 options • Undervalued neighborhoods • Good rent stability and section 8 options • Low prices, steady rent demand • Good for BRRRR or long-term holds • Landlord-friendly, affordable, 1%+ rent yields • Strong rehab and turnkey ecosystem • Solid infrastructure and job growth • Consistent investor performance • High cash flow, robust PM networks • Institutional interest, steady tenant demand • 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. • Charlotte, NCRapid growth, banking/tech hubLow vacancy and increasing rents • Rapid growth, banking/tech hub • Low vacancy and increasing rents • Tampa, FLStrong in-migration, no income taxAirbnb and long-term options • Strong in-migration, no income tax • Airbnb and long-term options • Phoenix, AZMassive growth during COVID migrationTight inventory, rising rents • Massive growth during COVID migration • Tight inventory, rising rents • Nashville, TNBooming job market and rising populationStill has mid-tier housing prices • Booming job market and rising population • Still has mid-tier housing prices • Raleigh-Durham, NCTech corridor, research & educationHigh tenant quality and low delinquency • Tech corridor, research & education • High tenant quality and low delinquency • Rapid growth, banking/tech hub • Low vacancy and increasing rents • Strong in-migration, no income tax • Airbnb and long-term options • Massive growth during COVID migration • Tight inventory, rising rents • Booming job market and rising population • Still has mid-tier housing prices • Tech corridor, research & education • High tenant quality and low delinquency 🧱 Emerging / Hybrid Markets Good mix of appreciation, rent growth, and cash flow. • Little Rock, ARAffordable SFR stockGood rent yields, growing investor interest • Affordable SFR stock • Good rent yields, growing investor interest • Columbia, SCStable government employment baseHigh rent-to-value ratio • Stable government employment base • High rent-to-value ratio • Huntsville, ALRocket/military economyExcellent long-term growth and landlord laws • Rocket/military economy • Excellent long-term growth and landlord laws • Kansas City, MOBalanced market with investor toolsJob growth and diverse economy • Balanced market with investor tools • Job growth and diverse economy • Jacksonville, FLPort city, military, healthcare hubHigh SFR demand and tax benefits • Port city, military, healthcare hub • High SFR demand and tax benefits • Affordable SFR stock • Good rent yields, growing investor interest • Stable government employment base • High rent-to-value ratio • Rocket/military economy • Excellent long-term growth and landlord laws • Balanced market with investor tools • Job growth and diverse economy • 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?

Love it!! I think what people miss is: Search engines: Retrieve information. AI: Understands, analyzes, and generates information.

Oh wow — what a refreshing take straight out of 1998! I mean, thank you for that profound bacterial metaphor. Truly. Comparing cutting-edge AI models trained on trillions of parameters to a "pile of bacteria" is... chef’s kiss. And here I was, foolishly thinking we’d evolved past AOL chatroom debates—silly me. But listen, I’m genuinely impressed. It takes a special kind of optimism-starved brain chemistry to look at an advancing technology that’s transforming medicine, education, accessibility, and creativity — and go, “ehh, it’s just a toy.” That level of willful resistance to growth? Iconic. And don’t worry — my brain cells are doing just fine, thriving even. You know, probably because I’m using them… to adapt, to explore, to learn. Try it sometime — it’s wild. Stay skeptical, though — I hear it's the best way to keep the rotary phone industry alive. Side note: AI wrote this response....

Hey Myka, we need to connect! Good feedback and I will look into the deep search option as well. I used: "What are the best investment markets for single family rentals"

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

Caleb Brown

Real Estate Agent · Kansas City · Member since 2018 · 4k+ posts · 3k+ votes

1y

I use it to research as this and find stats. I also use it to polish blogs, social media posts, etc. I like using the GrokAI deep search feature to do deeper research on different topics. My wife uses it for her YT on the intros, storyline, trending videos, etc. Any questions I ask it too. It has so many uses, it's wild

1 Reply

Myka Artis

Rental Property Investor · Arlington, TX · Member since 2016 · 706 posts · 611 votes

1y

I've been using it on my investing journey as well. I also invest in Little Rock/Central Arkansas, and I use it to set up my project management plan for the new STRs and MTRs I'm setting up, create my podcast titles and subjects, and run comps in states where it's a public record. I like the way you used it to pull that data. Would you mind sharing the prompt you used to get it to pull this? I've been loving their deep search feature so much that I think I'm going to upgrade to the $200/month plan for unlimited access.

1 Reply

Brian TeeterBusiness Member
OP
Little Rock, AR · Member since 2021 · 75 posts · 64 votes
1y
Quote from @Myka Artis:

I've been using it on my investing journey as well. I also invest in Little Rock/Central Arkansas, and I use it to set up my project management plan for the new STRs and MTRs I'm setting up, create my podcast titles and subjects, and run comps in states where it's a public record. I like the way you used it to pull that data. Would you mind sharing the prompt you used to get it to pull this? I've been loving their deep search feature so much that I think I'm going to upgrade to the $200/month plan for unlimited access.

Hey Myka, we need to connect! Good feedback and I will look into the deep search option as well. I used: "What are the best investment markets for single family rentals"
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Ken M.

Investor · Get yourself trained before doing something inadvisable. · Member since 2024 · 3k+ posts · 1k+ votes

1y

Quote from @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

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.
Landlord-Friendly Laws
- Arkansas ranks among the most landlord-friendly states.
- Quick eviction process, low regulatory friction.
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).
Stable Tenant Base
- High percentage of renters (estimated ~42–45% in Pulaski County).
- Strong demand in B-class and workforce neighborhoods.
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.

Cleveland, OH
- Low prices, steady rent demand
- Good for BRRRR or long-term holds
Birmingham, AL
- Landlord-friendly, affordable, 1%+ rent yields
- Strong rehab and turnkey ecosystem
Indianapolis, IN
- Solid infrastructure and job growth
- Consistent investor performance
Memphis, TN
- High cash flow, robust PM networks
- Institutional interest, steady tenant demand
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.

Charlotte, NC
- Rapid growth, banking/tech hub
- Low vacancy and increasing rents
Tampa, FL
- Strong in-migration, no income tax
- Airbnb and long-term options
Phoenix, AZ
- Massive growth during COVID migration
- Tight inventory, rising rents
Nashville, TN
- Booming job market and rising population
- Still has mid-tier housing prices
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.

Little Rock, AR
- Affordable SFR stock
- Good rent yields, growing investor interest
Columbia, SC
- Stable government employment base
- High rent-to-value ratio
Huntsville, AL
- Rocket/military economy
- Excellent long-term growth and landlord laws
Kansas City, MO
- Balanced market with investor tools
- Job growth and diverse economy
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?

Hate to stick a poke in the AI, but with

"Best Appreciation + Growth Markets"

both

Tampa, FL
- Strong in-migration, no income tax
- Airbnb and long-term options

and

Phoenix, AZ
- Massive growth during COVID migration
- Tight inventory, rising rents

won't tell you about the deep change that has happened in the last two months.

0 Reply

Jay HinrichsBusiness Member
Real Estate Consultant · Summerlin, NV · Member since 2014 · 45k+ posts · 66k+ votes
1y
Quote from @Ken M.:
Quote from @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

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.
Landlord-Friendly Laws
Arkansas ranks among the most landlord-friendly states.
Quick eviction process, low regulatory friction.
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).
Stable Tenant Base
High percentage of renters (estimated ~42–45% in Pulaski County).
Strong demand in B-class and workforce neighborhoods.
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.

Cleveland, OH
Low prices, steady rent demand
Good for BRRRR or long-term holds
Birmingham, AL
Landlord-friendly, affordable, 1%+ rent yields
Strong rehab and turnkey ecosystem
Indianapolis, IN
Solid infrastructure and job growth
Consistent investor performance
Memphis, TN
High cash flow, robust PM networks
Institutional interest, steady tenant demand
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.

Charlotte, NC
Rapid growth, banking/tech hub
Low vacancy and increasing rents
Tampa, FL
Strong in-migration, no income tax
Airbnb and long-term options
Phoenix, AZ
Massive growth during COVID migration
Tight inventory, rising rents
Nashville, TN
Booming job market and rising population
Still has mid-tier housing prices
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.

Little Rock, AR
Affordable SFR stock
Good rent yields, growing investor interest
Columbia, SC
Stable government employment base
High rent-to-value ratio
Huntsville, AL
Rocket/military economy
Excellent long-term growth and landlord laws
Kansas City, MO
Balanced market with investor tools
Job growth and diverse economy
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?
Hate to stick a poke in the AI, but with

"Best Appreciation + Growth Markets"
both

Tampa, FL
Strong in-migration, no income tax
Airbnb and long-term options
and

Phoenix, AZ
Massive growth during COVID migration
Tight inventory, rising rents

won't tell you about the deep change that has happened in the last two months.
Yup data for real estate is always out dated.. best data comes from MLS solds last 60 or 90 days full stop..
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1 Reply

Mike D.

Investor · Indianapolis, IN · Member since 2014 · 208 posts · 137 votes

1y

I think it's great for simple, factual info like this--but still, double check everything it says. I have tried asking it about more complex stuff like portfolio design and how to optimize equity growth and cashflow and it totally fails. It advises doing blatantly dumb things based on wrong assumptions about interest rates and other things. I suppose before long it will be able to handle this.

1 Reply

Chris Barrett

Investor · Madison WI · Member since 2021 · 176 posts · 103 votes

1y

I haven't used it for market research because what are it's sources? It's also backwards looking and not forward projecting.

1 Reply

Myka Artis
Rental Property Investor · Arlington, TX · Member since 2016 · 706 posts · 611 votes
1y
Quote from @Chris Barrett:

I haven't used it for market research because what are it's sources? It's also backwards looking and not forward projecting.

This is a great question. If you pay for the $20/mo version, you get access to deep search. In a deep search, it will conduct a thorough investigation and provide comprehensive reports on any topics you need. It will then give you all sources. Depending on what you are researching, it can take up to half an hour to complete the research. If you invest in a state like Arkansas, where property sales are publicly disclosed, you can even have it pull comps. However, for the $20/month plan, your deep search knowledge searches are limited. To get the full experience, it costs $200/month. Sorry, I can nerd out over AI all day. I've been building bots with it for the past two years, and it's now taking over marketing.

At this point, if you teach a VA how to use AI efficiently, you can automate your STR/MTR business within a few months. Good luck to you all.
1 Reply
Ken M.
Investor · Get yourself trained before doing something inadvisable. · Member since 2024 · 3k+ posts · 1k+ votes
1y
Quote from @Myka Artis:

Quote from @Chris Barrett:

I haven't used it for market research because what are it's sources? It's also backwards looking and not forward projecting.

This is a great question. If you pay for the $20/mo version, you get access to deep search. In a deep search, it will conduct a thorough investigation and provide comprehensive reports on any topics you need. It will then give you all sources. Depending on what you are researching, it can take up to half an hour to complete the research. If you invest in a state like Arkansas, where property sales are publicly disclosed, you can even have it pull comps. However, for the $20/month plan, your deep search knowledge searches are limited. To get the full experience, it costs $200/month. Sorry, I can nerd out over AI all day. I've been building bots with it for the past two years, and it's now taking over marketing.

At this point, if you teach a VA how to use AI efficiently, you can automate your STR/MTR business within a few months. Good luck to you all.
Okay, maybe I've got this all wrong.

Is AI a search engine that spits out what it finds on a given subject of already existing information that is currently stored on existing platforms across the internet (therefor it's as good as the information it finds, the old "garbage in, garbage out" problem)

or does it analyze & synthesize variables to form a composite picture that provides unique insight into the requested subject?

For instance, "What effect would finding uranium on Navajo tribal land have on code talkers finding affordable housing in Farmington NM? Is there sufficient water to handle the increase and how much could I get for rents?"

AI should be able to handle those kinds of questions. Otherwise, you're just using search engines that tell you general information, which have been around for decades and can be reached without using Chat GPT or Grok and any other engine.

Or am I wrong? Does AI do that already?

0 Reply
Chris Barrett
Investor · Madison WI · Member since 2021 · 176 posts · 103 votes
1y
Quote from @Ken M.:

Quote from @Myka Artis:

Quote from @Chris Barrett:

I haven't used it for market research because what are it's sources? It's also backwards looking and not forward projecting.

This is a great question. If you pay for the $20/mo version, you get access to deep search. In a deep search, it will conduct a thorough investigation and provide comprehensive reports on any topics you need. It will then give you all sources. Depending on what you are researching, it can take up to half an hour to complete the research. If you invest in a state like Arkansas, where property sales are publicly disclosed, you can even have it pull comps. However, for the $20/month plan, your deep search knowledge searches are limited. To get the full experience, it costs $200/month. Sorry, I can nerd out over AI all day. I've been building bots with it for the past two years, and it's now taking over marketing.

At this point, if you teach a VA how to use AI efficiently, you can automate your STR/MTR business within a few months. Good luck to you all.
Okay, maybe I've got this all wrong.

Is AI a search engine that spits out what it finds on a given subject of already existing information that is currently stored on existing platforms across the internet (therefor it's as good as the information it finds, the old "garbage in, garbage out" problem)

or does it analyze & synthesize variables to form a composite picture that provides unique insight into the requested subject?

For instance, "What effect would finding uranium on Navajo tribal land have on code talkers finding affordable housing in Farmington NM? Is there sufficient water to handle the increase and how much could I get for rents?"

AI should be able to handle those kinds of questions. Otherwise, you're just using search engines that tell you general information, which have been around for decades and can be reached without using Chat GPT or Grok and any other engine.

Or am I wrong? Does AI do that already?

Garbage in - garbage out: Yes. But it can quickly collate and associate data from accessible sources. Does it make inductive leaps? No not yet. It's not intelligent. Yet.
1 Reply
Myka Artis
Rental Property Investor · Arlington, TX · Member since 2016 · 706 posts · 611 votes
1y
Quote from @Ken M.:

Quote from @Myka Artis:

Quote from @Chris Barrett:

I haven't used it for market research because what are it's sources? It's also backwards looking and not forward projecting.

This is a great question. If you pay for the $20/mo version, you get access to deep search. In a deep search, it will conduct a thorough investigation and provide comprehensive reports on any topics you need. It will then give you all sources. Depending on what you are researching, it can take up to half an hour to complete the research. If you invest in a state like Arkansas, where property sales are publicly disclosed, you can even have it pull comps. However, for the $20/month plan, your deep search knowledge searches are limited. To get the full experience, it costs $200/month. Sorry, I can nerd out over AI all day. I've been building bots with it for the past two years, and it's now taking over marketing.

At this point, if you teach a VA how to use AI efficiently, you can automate your STR/MTR business within a few months. Good luck to you all.
Okay, maybe I've got this all wrong.

Is AI a search engine that spits out what it finds on a given subject of already existing information that is currently stored on existing platforms across the internet (therefor it's as good as the information it finds, the old "garbage in, garbage out" problem)

or does it analyze & synthesize variables to form a composite picture that provides unique insight into the requested subject?

For instance, "What effect would finding uranium on Navajo tribal land have on code talkers finding affordable housing in Farmington NM? Is there sufficient water to handle the increase and how much could I get for rents?"

AI should be able to handle those kinds of questions. Otherwise, you're just using search engines that tell you general information, which have been around for decades and can be reached without using Chat GPT or Grok and any other engine.

Or am I wrong? Does AI do that already?

When ChatGPT first emerged, it was primarily used for writing, where it utilized its highest probability to guess what needed to be typed based on the information stored in its large language model (LLM). It is now way beyond that. OpenAI, Co-pilot, Gemini, etc., have invested so much money in these technologies that they are now able to correlate data with what you are looking for. The best answer to your question would be to compare your data and then run that prompt through ChatGPT and compare the results. AI is still known to hallucinate, but with all the data that has been put into ChatGPT, you can certainly pull some legitimate data from it. MIT offers free AI classes on LinkedIn, and you'll be amazed at what you can learn and build. A significant portion of my real estate business is conducted through AI.
1 Reply
Ken M.
Investor · Get yourself trained before doing something inadvisable. · Member since 2024 · 3k+ posts · 1k+ votes
1y
Quote from @Myka Artis:

Quote from @Ken M.:

Quote from @Myka Artis:

Quote from @Chris Barrett:

I haven't used it for market research because what are it's sources? It's also backwards looking and not forward projecting.

This is a great question. If you pay for the $20/mo version, you get access to deep search. In a deep search, it will conduct a thorough investigation and provide comprehensive reports on any topics you need. It will then give you all sources. Depending on what you are researching, it can take up to half an hour to complete the research. If you invest in a state like Arkansas, where property sales are publicly disclosed, you can even have it pull comps. However, for the $20/month plan, your deep search knowledge searches are limited. To get the full experience, it costs $200/month. Sorry, I can nerd out over AI all day. I've been building bots with it for the past two years, and it's now taking over marketing.

At this point, if you teach a VA how to use AI efficiently, you can automate your STR/MTR business within a few months. Good luck to you all.
Okay, maybe I've got this all wrong.

Is AI a search engine that spits out what it finds on a given subject of already existing information that is currently stored on existing platforms across the internet (therefor it's as good as the information it finds, the old "garbage in, garbage out" problem)

or does it analyze & synthesize variables to form a composite picture that provides unique insight into the requested subject?

For instance, "What effect would finding uranium on Navajo tribal land have on code talkers finding affordable housing in Farmington NM? Is there sufficient water to handle the increase and how much could I get for rents?"

AI should be able to handle those kinds of questions. Otherwise, you're just using search engines that tell you general information, which have been around for decades and can be reached without using Chat GPT or Grok and any other engine.

Or am I wrong? Does AI do that already?

When ChatGPT first emerged, it was primarily used for writing, where it utilized its highest probability to guess what needed to be typed based on the information stored in its large language model (LLM). It is now way beyond that. OpenAI, Co-pilot, Gemini, etc., have invested so much money in these technologies that they are now able to correlate data with what you are looking for. The best answer to your question would be to compare your data and then run that prompt through ChatGPT and compare the results. AI is still known to hallucinate, but with all the data that has been put into ChatGPT, you can certainly pull some legitimate data from it. MIT offers free AI classes on LinkedIn, and you'll be amazed at what you can learn and build. A significant portion of my real estate business is conducted through AI.

Your comment "AI is still known to hallucinate" . . . "you can certainly pull some legitimate data from it."

Did you know that all bacteria is not bad for you? Some you have to have to survive. Not all things you are taught are things you should forget. But, you do. And on and on and on. But I challenge you to pull some good bacteria from a pile of bacteria. It simply means that AI isn't "there" yet.

Well, I'm glad you are enthusiastic about it. It seems like a fun toy, but it isn't Artificial "Intelligence" until it can avoid giving bad information, too.
I'm sure you also realize that the more you rely on machines to think for you, the more brain cells you lose. ;-)
0 Reply
Myka Artis
Rental Property Investor · Arlington, TX · Member since 2016 · 706 posts · 611 votes
1y
Quote from @Ken M.:

Quote from @Myka Artis:

Quote from @Ken M.:

Quote from @Myka Artis:

Quote from @Chris Barrett:

I haven't used it for market research because what are it's sources? It's also backwards looking and not forward projecting.

This is a great question. If you pay for the $20/mo version, you get access to deep search. In a deep search, it will conduct a thorough investigation and provide comprehensive reports on any topics you need. It will then give you all sources. Depending on what you are researching, it can take up to half an hour to complete the research. If you invest in a state like Arkansas, where property sales are publicly disclosed, you can even have it pull comps. However, for the $20/month plan, your deep search knowledge searches are limited. To get the full experience, it costs $200/month. Sorry, I can nerd out over AI all day. I've been building bots with it for the past two years, and it's now taking over marketing.

At this point, if you teach a VA how to use AI efficiently, you can automate your STR/MTR business within a few months. Good luck to you all.
Okay, maybe I've got this all wrong.

Is AI a search engine that spits out what it finds on a given subject of already existing information that is currently stored on existing platforms across the internet (therefor it's as good as the information it finds, the old "garbage in, garbage out" problem)

or does it analyze & synthesize variables to form a composite picture that provides unique insight into the requested subject?

For instance, "What effect would finding uranium on Navajo tribal land have on code talkers finding affordable housing in Farmington NM? Is there sufficient water to handle the increase and how much could I get for rents?"

AI should be able to handle those kinds of questions. Otherwise, you're just using search engines that tell you general information, which have been around for decades and can be reached without using Chat GPT or Grok and any other engine.

Or am I wrong? Does AI do that already?

When ChatGPT first emerged, it was primarily used for writing, where it utilized its highest probability to guess what needed to be typed based on the information stored in its large language model (LLM). It is now way beyond that. OpenAI, Co-pilot, Gemini, etc., have invested so much money in these technologies that they are now able to correlate data with what you are looking for. The best answer to your question would be to compare your data and then run that prompt through ChatGPT and compare the results. AI is still known to hallucinate, but with all the data that has been put into ChatGPT, you can certainly pull some legitimate data from it. MIT offers free AI classes on LinkedIn, and you'll be amazed at what you can learn and build. A significant portion of my real estate business is conducted through AI.

Your comment "AI is still known to hallucinate" . . . "you can certainly pull some legitimate data from it."

Did you know that all bacteria is not bad for you? Some you have to have to survive. Not all things you are taught are things you should forget. But, you do. And on and on and on. But I challenge you to pull some good bacteria from a pile of bacteria. It simply means that AI isn't "there" yet.

Well, I'm glad you are enthusiastic about it. It seems like a fun toy, but it isn't Artificial "Intelligence" until it can avoid giving bad information, too.
I'm sure you also realize that the more you rely on machines to think for you, the more brain cells you lose. ;-)
Oh wow — what a refreshing take straight out of 1998!

I mean, thank you for that profound bacterial metaphor. Truly. Comparing cutting-edge AI models trained on trillions of parameters to a "pile of bacteria" is... chef’s kiss. And here I was, foolishly thinking we’d evolved past AOL chatroom debates—silly me.

But listen, I’m genuinely impressed. It takes a special kind of optimism-starved brain chemistry to look at an advancing technology that’s transforming medicine, education, accessibility, and creativity — and go, “ehh, it’s just a toy.” That level of willful resistance to growth? Iconic.

And don’t worry — my brain cells are doing just fine, thriving even. You know, probably because I’m using them… to adapt, to explore, to learn. Try it sometime — it’s wild.

Stay skeptical, though — I hear it's the best way to keep the rotary phone industry alive.
Side note: AI wrote this response....
2 Reply
Ken M.
Investor · Get yourself trained before doing something inadvisable. · Member since 2024 · 3k+ posts · 1k+ votes
1y
Quote from @Myka Artis:

Quote from @Ken M.:

Quote from @Myka Artis:

Quote from @Ken M.:

Quote from @Myka Artis:

Quote from @Chris Barrett:

I haven't used it for market research because what are it's sources? It's also backwards looking and not forward projecting.

This is a great question. If you pay for the $20/mo version, you get access to deep search. In a deep search, it will conduct a thorough investigation and provide comprehensive reports on any topics you need. It will then give you all sources. Depending on what you are researching, it can take up to half an hour to complete the research. If you invest in a state like Arkansas, where property sales are publicly disclosed, you can even have it pull comps. However, for the $20/month plan, your deep search knowledge searches are limited. To get the full experience, it costs $200/month. Sorry, I can nerd out over AI all day. I've been building bots with it for the past two years, and it's now taking over marketing.

At this point, if you teach a VA how to use AI efficiently, you can automate your STR/MTR business within a few months. Good luck to you all.
Okay, maybe I've got this all wrong.

Is AI a search engine that spits out what it finds on a given subject of already existing information that is currently stored on existing platforms across the internet (therefor it's as good as the information it finds, the old "garbage in, garbage out" problem)

or does it analyze & synthesize variables to form a composite picture that provides unique insight into the requested subject?

For instance, "What effect would finding uranium on Navajo tribal land have on code talkers finding affordable housing in Farmington NM? Is there sufficient water to handle the increase and how much could I get for rents?"

AI should be able to handle those kinds of questions. Otherwise, you're just using search engines that tell you general information, which have been around for decades and can be reached without using Chat GPT or Grok and any other engine.

Or am I wrong? Does AI do that already?

When ChatGPT first emerged, it was primarily used for writing, where it utilized its highest probability to guess what needed to be typed based on the information stored in its large language model (LLM). It is now way beyond that. OpenAI, Co-pilot, Gemini, etc., have invested so much money in these technologies that they are now able to correlate data with what you are looking for. The best answer to your question would be to compare your data and then run that prompt through ChatGPT and compare the results. AI is still known to hallucinate, but with all the data that has been put into ChatGPT, you can certainly pull some legitimate data from it. MIT offers free AI classes on LinkedIn, and you'll be amazed at what you can learn and build. A significant portion of my real estate business is conducted through AI.

Your comment "AI is still known to hallucinate" . . . "you can certainly pull some legitimate data from it."

Did you know that all bacteria is not bad for you? Some you have to have to survive. Not all things you are taught are things you should forget. But, you do. And on and on and on. But I challenge you to pull some good bacteria from a pile of bacteria. It simply means that AI isn't "there" yet.

Well, I'm glad you are enthusiastic about it. It seems like a fun toy, but it isn't Artificial "Intelligence" until it can avoid giving bad information, too.
I'm sure you also realize that the more you rely on machines to think for you, the more brain cells you lose. ;-)
Oh wow — what a refreshing take straight out of 1998!

I mean, thank you for that profound bacterial metaphor. Truly. Comparing cutting-edge AI models trained on trillions of parameters to a "pile of bacteria" is... chef’s kiss. And here I was, foolishly thinking we’d evolved past AOL chatroom debates—silly me.

But listen, I’m genuinely impressed. It takes a special kind of optimism-starved brain chemistry to look at an advancing technology that’s transforming medicine, education, accessibility, and creativity — and go, “ehh, it’s just a toy.” That level of willful resistance to growth? Iconic.

And don’t worry — my brain cells are doing just fine, thriving even. You know, probably because I’m using them… to adapt, to explore, to learn. Try it sometime — it’s wild.

Stay skeptical, though — I hear it's the best way to keep the rotary phone industry alive.
Side note: AI wrote this response....

Your comment: "Side note: AI wrote this response...."

Yeah, it kinda looks like it did. ;-)

Do you know that American Indians (over 500 tribes) didn't have the "wheel", didn't use paper, didn't spell their alphabet, didn't use deodorant, didn't eat big macs, couldn't spell antidisestablishmentarianism, let alone know what it meant? Actually, it means nothing in answer to your comment, but I find it fascinating.

Maybe they should have invented AI.

0 Reply
Brian TeeterBusiness Member
OP
Little Rock, AR · Member since 2021 · 75 posts · 64 votes
1y
Quote from @Myka Artis:

Quote from @Ken M.:

Quote from @Myka Artis:

Quote from @Ken M.:

Quote from @Myka Artis:

Quote from @Chris Barrett:

I haven't used it for market research because what are it's sources? It's also backwards looking and not forward projecting.

This is a great question. If you pay for the $20/mo version, you get access to deep search. In a deep search, it will conduct a thorough investigation and provide comprehensive reports on any topics you need. It will then give you all sources. Depending on what you are researching, it can take up to half an hour to complete the research. If you invest in a state like Arkansas, where property sales are publicly disclosed, you can even have it pull comps. However, for the $20/month plan, your deep search knowledge searches are limited. To get the full experience, it costs $200/month. Sorry, I can nerd out over AI all day. I've been building bots with it for the past two years, and it's now taking over marketing.

At this point, if you teach a VA how to use AI efficiently, you can automate your STR/MTR business within a few months. Good luck to you all.
Okay, maybe I've got this all wrong.

Is AI a search engine that spits out what it finds on a given subject of already existing information that is currently stored on existing platforms across the internet (therefor it's as good as the information it finds, the old "garbage in, garbage out" problem)

or does it analyze & synthesize variables to form a composite picture that provides unique insight into the requested subject?

For instance, "What effect would finding uranium on Navajo tribal land have on code talkers finding affordable housing in Farmington NM? Is there sufficient water to handle the increase and how much could I get for rents?"

AI should be able to handle those kinds of questions. Otherwise, you're just using search engines that tell you general information, which have been around for decades and can be reached without using Chat GPT or Grok and any other engine.

Or am I wrong? Does AI do that already?

When ChatGPT first emerged, it was primarily used for writing, where it utilized its highest probability to guess what needed to be typed based on the information stored in its large language model (LLM). It is now way beyond that. OpenAI, Co-pilot, Gemini, etc., have invested so much money in these technologies that they are now able to correlate data with what you are looking for. The best answer to your question would be to compare your data and then run that prompt through ChatGPT and compare the results. AI is still known to hallucinate, but with all the data that has been put into ChatGPT, you can certainly pull some legitimate data from it. MIT offers free AI classes on LinkedIn, and you'll be amazed at what you can learn and build. A significant portion of my real estate business is conducted through AI.

Your comment "AI is still known to hallucinate" . . . "you can certainly pull some legitimate data from it."

Did you know that all bacteria is not bad for you? Some you have to have to survive. Not all things you are taught are things you should forget. But, you do. And on and on and on. But I challenge you to pull some good bacteria from a pile of bacteria. It simply means that AI isn't "there" yet.

Well, I'm glad you are enthusiastic about it. It seems like a fun toy, but it isn't Artificial "Intelligence" until it can avoid giving bad information, too.
I'm sure you also realize that the more you rely on machines to think for you, the more brain cells you lose. ;-)
Oh wow — what a refreshing take straight out of 1998!

I mean, thank you for that profound bacterial metaphor. Truly. Comparing cutting-edge AI models trained on trillions of parameters to a "pile of bacteria" is... chef’s kiss. And here I was, foolishly thinking we’d evolved past AOL chatroom debates—silly me.

But listen, I’m genuinely impressed. It takes a special kind of optimism-starved brain chemistry to look at an advancing technology that’s transforming medicine, education, accessibility, and creativity — and go, “ehh, it’s just a toy.” That level of willful resistance to growth? Iconic.

And don’t worry — my brain cells are doing just fine, thriving even. You know, probably because I’m using them… to adapt, to explore, to learn. Try it sometime — it’s wild.

Stay skeptical, though — I hear it's the best way to keep the rotary phone industry alive.
Side note: AI wrote this response....

Love it!! I think what people miss is:
Search engines: Retrieve information.
AI: Understands, analyzes, and generates information.
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Andrea McClary

Investor · St. Petersburg, FL · Member since 2025 · 7 posts · 4 votes

1y

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.

3 Reply

Ken M.
Investor · Get yourself trained before doing something inadvisable. · Member since 2024 · 3k+ posts · 1k+ votes
1y
Quote from @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.
I can prove unequivocally, only God knows the future. AI can't help where you need it the most. Otherwise, if we knew the future, most real estate agents wouldn't have wasted their time getting a license and most college graduates wouldn't have paid so much to get so little out of worthless psychology and arts courses.
2 Reply

Brian TeeterBusiness Member

OP

Little Rock, AR · Member since 2021 · 75 posts · 64 votes

1y

Plenty of great uses, even just with everyday business. Quick example: Yesterday I had a prospective property management client whose attorney made changes to our property management agreement. The attorney did not redline changes, rather just added in new language and left it to me to figure out the differences. I simply dropped both my master PMA copy and their amended copy into AI and asked it to compare both and provide summary of differences. 30 Seconds later, I had a full summary. Saved me a lot of time digging through

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Ken M.
Investor · Get yourself trained before doing something inadvisable. · Member since 2024 · 3k+ posts · 1k+ votes
1y
Quote from @Brian Teeter:

Plenty of great uses, even just with everyday business. Quick example: Yesterday I had a prospective property management client whose attorney made changes to our property management agreement. The attorney did not redline changes, rather just added in new language and left it to me to figure out the differences. I simply dropped both my master PMA copy and their amended copy into AI and asked it to compare both and provide summary of differences. 30 Seconds later, I had a full summary. Saved me a lot of time digging through

That function has been available in commonly available software writing applications for 30 years. https://support.microsoft.com/en-us/office/compare-and-merge... I'm glad you discovered it and find it useful but that's my point that AI hasn't brought us anything new yet.

It's reintroducing people to functions that have been around for a long time that an intro class to software provides. No offense meant, just historical fact.

One overlooked aspect of using ChatGPT or Grok , etc is that anything entered, personal, private business, scientific development, whatever becomes information for the developers of the platform to exploit. It is no longer confidential.

By the way, as a matter of policy, I reject any modified contract that has been changed that isn't redline for easy review. I send it back, and say "mark the changes so I can see what they are or we use the original I provided". I've never had someone who wanted to do business with me not be up front and clear about the changes. I don't have time or patience to second guess.
1 Reply

Michael Carlson

Member since 2025 · 16 posts · 7 votes

1y

AI has become an incredibly powerful tool for market research, especially in real estate. I’ve been using ChatGPT and other AI data tools to analyze rental markets, model cash flow projections, and even write property descriptions and investor pitch decks.

For anyone researching markets, another cool AI use: Have it compare two cities side-by-side for rent yields, appreciation, vacancy, and landlord laws. Super helpful when deciding where to deploy capital next.

Has anyone here started using AI for property management tasks? That’s the next area I’m looking at.

0 Reply

Ken M.
Investor · Get yourself trained before doing something inadvisable. · Member since 2024 · 3k+ posts · 1k+ votes
1y
Quote from @Michael Carlson:

AI has become an incredibly powerful tool for market research, especially in real estate. I’ve been using ChatGPT and other AI data tools to analyze rental markets, model cash flow projections, and even write property descriptions and investor pitch decks.
For anyone researching markets, another cool AI use: Have it compare two cities side-by-side for rent yields, appreciation, vacancy, and landlord laws. Super helpful when deciding where to deploy capital next.
Has anyone here started using AI for property management tasks? That’s the next area I’m looking at.

Appreciation is an unproven construct. In order to compare two cities, you have to make a lot of assumptions based on static information, 1. Things won't change in the cities in the near future, 2. New landlord/tenant laws won't be enacted 3. Selective enforcement of those laws won't happen 4. Black Swan events won't occur 5. The next government will follow the current government's policies 6. A butterfly won't flap it's wings in Hong Kong 7. Fuel prices won't deviate over time 8. The tenants you select in city A, and the the tenants you select in city B are the same 9. Your tolerance for risk won't change over time 10. That what is good for investor A is also good for investor B 11. You won't have "Life changes" 12. And on and on and on.

I like to think of investing as constantly self correcting as new information becomes available.

0 Reply

Roger Flot

Investor · Mississippi Gulf Coast · Member since 2019 · 56 posts · 53 votes

1y

Its probably helpful to realize that tools like ChatGPT and other AI models are always in a state of being trained. They will perform search functions (and are actually getting better at it), but that isnt what they are designed to do. These models are designed to perform tasks, so inquiries work better when the request is task/result-oriented.

So, when users experience what is referred to garbage in-garbage out or hallucinations, its usually because there was a problem in the framing of the task. Rather than asking open-ended questions and seeing what will come back as the result of a ranking of compiled availability (which is how search works), users should strategize their task specific requests to draw data that they can use. Think of using words like "analyze, research, compile, aggregate" and spell out the output format "in a table, on a spreadsheet, in a pdf", then let the model perform the function, the user can analyze the results and make follow-up requests that dig deeper.

If it doesnt work for what you are requesting today, realize that the machine is always learning and we are its teachers. Tell it that the results are wrong and what you need it to consider for your task and have it retry. Think of it like training a dog or a child, it may not know every interpretation of your request, some items may need reinforcement or reiteration. You are programming task completion without knowledge or use of code using a language that is confusing to humans. Consider your request and try again.

Finally, I always try to remember the movie War Games when I work in models like ChatGPT. In that movie, the game was designed to figure out a way to win. There were no other options. However, it wasn't trained to know what to do if it couldn't complete the task, so it just quit the task. Remembering this just helps me reframe my request.

Greetings Professor Falken.

1 Reply

Ken M.
Investor · Get yourself trained before doing something inadvisable. · Member since 2024 · 3k+ posts · 1k+ votes
1y
Quote from @Roger Flot:

Its probably helpful to realize that tools like ChatGPT and other AI models are always in a state of being trained. They will perform search functions (and are actually getting better at it), but that isnt what they are designed to do. These models are designed to perform tasks, so inquiries work better when the request is task/result-oriented.
So, when users experience what is referred to garbage in-garbage out or hallucinations, its usually because there was a problem in the framing of the task. Rather than asking open-ended questions and seeing what will come back as the result of a ranking of compiled availability (which is how search works), users should strategize their task specific requests to draw data that they can use. Think of using words like "analyze, research, compile, aggregate" and spell out the output format "in a table, on a spreadsheet, in a pdf", then let the model perform the function, the user can analyze the results and make follow-up requests that dig deeper.
If it doesnt work for what you are requesting today, realize that the machine is always learning and we are its teachers. Tell it that the results are wrong and what you need it to consider for your task and have it retry. Think of it like training a dog or a child, it may not know every interpretation of your request, some items may need reinforcement or reiteration. You are programming task completion without knowledge or use of code using a language that is confusing to humans. Consider your request and try again.
Finally, I always try to remember the movie War Games when I work in models like ChatGPT. In that movie, the game was designed to figure out a way to win. There were no other options. However, it wasn't trained to know what to do if it couldn't complete the task, so it just quit the task. Remembering this just helps me reframe my request.
Greetings Professor Falken.
So, it seems to be that users need to be trained, intelligent, but not artificial, since if the user lacks the ability to be able to second guess what AI is looking for, AI is no longer intelligent but a stimulus response action sort of like cellular or unicellular organisms that use pseudopodia for locomotion and feeding, commonly designated as an Amoeba.
0 Reply

Ryan McKinneyBusiness Member

Real Estate Agent · Member since 2023 · 12 posts · 3 votes

1y

I’m with you Brian. I use ChatGPT as a real estate efficiency engine — it’s like having an extra research analyst, marketing copywriter, and due diligence assistant all in one. It helps me help my clients make smarter, faster decisions and stay ahead of the market.

Specifically, here’s how I’ve been using it for my clients (I am a real estate agent working with the BP investors in Northeast TN):

✅ Data-Backed Insights: I use it to break down neighborhood-level trends, market comps, rent rolls, and potential ROI so investors can quickly see if a deal pencils out.

✅ Offer & Negotiation Support: I run multiple what-if scenarios, draft negotiation strategies, and reframe counteroffers to protect my clients’ bottom line.

✅ Listing & Marketing Firepower: I craft better property descriptions, investor-focused highlights, and high-converting social content to attract the right buyers and tenants.

✅ Problem Solving: I tap ChatGPT to clarify complex inspection or permitting issues and translate them into clear action steps for my clients.

✅ Efficiency & Scale: By providing on-demand answers (at scale), it frees me up to do what really drives returns: finding deals, negotiating hard, and staying connected with our clients and partners.

At the end of the day, it means I can help my clients buy smarter, sell stronger, and move faster — and I stay in their corner as a more knowledgeable partner.

1 Reply

Brian TeeterBusiness Member
OP
Little Rock, AR · Member since 2021 · 75 posts · 64 votes
1y
Quote from @Ryan McKinney:

I’m with you Brian. I use ChatGPT as a real estate efficiency engine — it’s like having an extra research analyst, marketing copywriter, and due diligence assistant all in one. It helps me help my clients make smarter, faster decisions and stay ahead of the market.

Specifically, here’s how I’ve been using it for my clients (I am a real estate agent working with the BP investors in Northeast TN):

✅ Data-Backed Insights: I use it to break down neighborhood-level trends, market comps, rent rolls, and potential ROI so investors can quickly see if a deal pencils out.

✅ Offer & Negotiation Support: I run multiple what-if scenarios, draft negotiation strategies, and reframe counteroffers to protect my clients’ bottom line.

✅ Listing & Marketing Firepower: I craft better property descriptions, investor-focused highlights, and high-converting social content to attract the right buyers and tenants.

✅ Problem Solving: I tap ChatGPT to clarify complex inspection or permitting issues and translate them into clear action steps for my clients.

✅ Efficiency & Scale: By providing on-demand answers (at scale), it frees me up to do what really drives returns: finding deals, negotiating hard, and staying connected with our clients and partners.

At the end of the day, it means I can help my clients buy smarter, sell stronger, and move faster — and I stay in their corner as a more knowledgeable partner.

Thanks Ryan! I agree, it's a great tool.
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Jake YuskaitisBusiness Member

Lender · New Jersey, USA · Member since 2022 · 254 posts · 67 votes

1y

Absolutely. Everyday.

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Michael Stagnitta

Real Estate Consultant · NY · Member since 2025 · 5 posts · 1 vote

1y

Hi Brian, like @Caleb Brown mentioned, GrokAI (X) is a fantastic tool for any RE Business. Its deep search pulls real-time data with higher accuracy (IMO) than GPT with minimal ‘hallucination.' For example, you might know the area your looking to invest in has strong rental demand but you need quick comps without diving into Propstream (or something else), You can just plug this task into Grok and tell it to check recent sales comps, local job growth trends, or new infrastructure projects, to help you make better decisions. It works best when you can leverage underlying knowledge of an area- it saves time and uncovers opportunities you might miss. Definitely worth trying!

Also, X in general has a growing community of REIs - Its a good place to network too.

0 Reply

Brian TeeterBusiness Member
OP
Little Rock, AR · Member since 2021 · 75 posts · 64 votes
1y
Quote from @Michael Stagnitta:

Hi Brian, like @Caleb Brown mentioned, GrokAI (X) is a fantastic tool for any RE Business. Its deep search pulls real-time data with higher accuracy (IMO) than GPT with minimal ‘hallucination.' For example, you might know the area your looking to invest in has strong rental demand but you need quick comps without diving into Propstream (or something else), You can just plug this task into Grok and tell it to check recent sales comps, local job growth trends, or new infrastructure projects, to help you make better decisions. It works best when you can leverage underlying knowledge of an area- it saves time and uncovers opportunities you might miss. Definitely worth trying!
Also, X in general has a growing community of REIs - Its a good place to network too.

Excellent, thanks, will check it out!
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Sruthi Davuluri

Member since 2025 · 6 posts · 4 votes

1y

Hi BP friends!

Be careful out there - ChatGPT was built using LLMs which are probabilistic in nature. Essentially, GPT can't do math with 100% accuracy and often makes mistakes.

It's fair to use ChatGPT for simple things - like writing emails, summarizing implications of OBBB on real estate financing, but I Wouldn't use it for financial analysis because it can guide you astray!

2 Reply

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

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