How are you using AI in your RE investing?

Question

How's everyone using AI to benefit their real estate investing portfolio?

Heat maps showing crime? Maps showing geographic school districts? Maps showing where new permits have been pulled? Then maybe overlaying some of these maps?

Could show pricing trends for certain areas - list to sale ratio, # of houses sold in a certain area, # of listings in a certain area

Seems like there is a good bit you show on a map, especially location wise to show the best locations.

AI to analyze your properties on a quarterly basis? AI for tax strategies? AI for choosing the best loan?

The more I think about AI and data collection (especially if this data can be collected automatically) I really think the sky is the limit. it makes sense to use this new technology to automate tasks, increase efficiency and likely improve your RE portfolio.  And AI is still new, better to jump on the bus as soon as you can.

That being said - how are you currently (or planning to) using AI to improve your business?

Matthew Schumacher · Answer

Absolutely agree — the potential is massive.

Right now, I’m exploring a few simple but powerful ways to use AI in real estate investing:

• Property scouting: Using AI + public data to surface areas with high permit activity, low crime, good schools — then overlaying maps to find sweet spots.
• Pricing analysis: Running AI models on list-to-sale ratios, DOM (days on market), and price trends to spot undervalued areas or neighborhoods heating up.
• Quarterly performance check-ins: Feeding financials into AI tools to flag underperformers or cash flow issues before they become a problem.
• Tax and financing optimization: Starting to test AI advisors to suggest tax strategies and compare loan terms — way faster than doing it manually.

Property scouting: Using AI + public data to surface areas with high permit activity, low crime, good schools — then overlaying maps to find sweet spots.

Pricing analysis: Running AI models on list-to-sale ratios, DOM (days on market), and price trends to spot undervalued areas or neighborhoods heating up.

Quarterly performance check-ins: Feeding financials into AI tools to flag underperformers or cash flow issues before they become a problem.

Tax and financing optimization: Starting to test AI advisors to suggest tax strategies and compare loan terms — way faster than doing it manually.

I’m also looking into setting up automations that pull in fresh data monthly — AI works best with up-to-date info.

Totally agree — the earlier we learn and integrate, the more of an edge we’ll have. Curious what others are doing too!

Mya Toohey · Answer

AI scares me honestly.  What happens when we lose the one on one ability to build relationships with each other. The good old fashioned hand shake or even the quick nice to meet you hug.  AI may be the wave of the future but I'm just old school and wouldn't want my responses to be automated just to cover a bigger market.  I use AI to help write bios and such.   Even look up answers to questions.  I use Gemini and GroK.   They both have done well for me.  Remember, they are perfectly imperfect and are learning the process and trying to keep up with this ever changing environment.  It's a lot to experience and/or expect from something so old but yet so new.   Soon AI will be able to send your partner roses while you are eating your lucky charms.  That'll be the day.

John Litz · Answer

I use AI for marketing on my STR. I ask for scripts on pictures. Optimize for SEO. Different ideas to improve the property. In addition I use AI to help write LTR leases for my area optimized for an easy eviction. Tax strategies and budget analysis.

Chris Seveney · Answer

Great question. we’re using AI in a few ways that go beyond the typical marketing content or lead gen.

Our biggest value so far has been integrating AI into internal operations for research, document analysis, and portfolio oversight. A few examples:

Due diligence automation: We’ve trained our AI to read and summarize loan documents, servicing notes, and case files to ensure nothing critical is missed. This helps streamline underwriting and asset management workflows. This is after human review which is always our first go-to.

State-specific legal research: Instead of digging through PDFs or folders, we built a system that answers questions about foreclosure timelines, eviction procedures, bankruptcy strategy, and more down to the state level. It even identifies relevant attorneys or trustees in that area by querying our internal databases.

Portfolio reviews: We’re piloting tools that regularly analyze loan performance and servicing data to flag risk trends or resolution opportunities. This lets our team prioritize faster without getting buried in the details.

Garrick Goodheart · Answer

That is excellent insight and appreciate all you responded to. It turns out that I was looking at this too narrow mindedly and didn't consider the other possibilities that you said you are using it for.  I have used it to help analyze state and federal documents before I have submitted them or those that were sent to me.  I have also used it very loosely on some legal documents that I just wanted to check and see if some pointed questions would help evaluate weak points. Again, thank you!

Garrick Goodheart · Answer

Is this AI proprietary or is it an open source such as ChatGPT? I was curious about this as I am new and looking for the right area to start out in. Taking David Greene's advise and am looking outside my own backyard. Do you have any insights that you would be willing to share with me when it comes to utilizing AI for this?

Kadia Lawrence · Answer

This sounds great.  What tools are you using, particularly to set up automations and pull in fresh data? Is it MLS data?

How are you using AI in your RE investing?

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