How To Analyze Any Neighborhood With AI Using MLS Data and Gamma

If you work in real estate and you want a faster, smarter way to analyze a neighborhood, subdivision, city, or even an entire county, this guide is going to be a game changer for you. I walk through the exact workflow I use every single week with real estate agents in Colorado. You’ll see how I export the right MLS data, upload it into ChatGPT, and instantly generate a clean neighborhood market breakdown. Then I show you how to take all of that data and turn it into a polished presentation or PDF using Gamma that you can bring to a listing appointment, share with a buyer, post online, or use in your next farm report.

This system saves hours. Once you learn it, you’ll never analyze a neighborhood the old way again.

Overview

Here’s the big picture. You’ll learn how to:

• Pull the right MLS export for accurate analysis

• Upload that dataset into ChatGPT using the reusable market analysis prompt

• Automatically generate a clean neighborhood report

• Turn that report into a slide deck, a PDF, or a social media presentation using Gamma

• Use this workflow for listing appointments, buyer consults, farming strategies, and investor updates

And you can do it all without spreadsheets, manual math, or trying to piece together your own market report.

Let’s break it down step by step.

Step 1: Understand the Tool Kit

To run this system you only need three things:

1. MLS access

Any MLS will work. REcolorado, PPMLS, Matrix, Paragon, Flex, etc. You just need the ability to export listings with full data.

2. ChatGPT or another large language model

You’ll want the paid version of ChatGPT because it allows file uploads and handles larger datasets. This is where the actual analysis happens.

3. Gamma.app

Gamma turns long text into polished reports. It creates:

• Slide decks

• Web pages

• PDF documents

• Social media graphics and carousels

I use Gamma for almost everything now. It makes your analysis look professional in minutes.

And if you need my exact AI prompt for the analysis, here it is:

👉 bit.ly/neighborhoodprompt

Copy and paste it into ChatGPT and you’re ready to roll.

Step 2: Pull the Right Dataset From the MLS

This is where your analysis begins. The accuracy of your report depends heavily on the quality of your MLS export.

Here is the workflow I use:

1. Log in to your MLS

Go to your standard residential search screen.

2. Choose your target area

This can be as:

• Broad as an entire county

• Narrow as one subdivision

• Custom as a mapped farm area

If you’re farming a neighborhood, you can map it manually. If you’re prepping for a listing appointment, just plug in the subdivision name.

3. Select your timeframe

Most agents analyze:

• Active listings

• Pending listings

• Closed sales in the past 365 days

You can adjust this based on your market. For Denver, 12 months is usually perfect for a full view of trends and pricing.

4. Select all listings

Click the box at the top to select all. Double check you aren’t accidentally selecting only the first 100 results.

5. Export the results

Click Export.

If your MLS has an export option called Appraiser, use it. This is the gold standard because:

• It includes the most fields

• It captures public remarks

• It captures private remarks

• It captures concessions

• It captures days on market

• It captures all the granular details AI needs

This is exactly why the AI analysis is so strong. It reads everything that would normally take you an hour to skim manually.

If you don’t have Appraiser format, create a custom export. I teach this in another class. I can send you the cheat sheet if you need it.

Once the export is saved to your computer, you’re ready for the fun part.

Step 3: Upload the Data Into ChatGPT

Now we’re going to let the AI do all the heavy lifting.

1. Start a new ChatGPT conversation

New chats give cleaner results.

2. Paste the reusable analysis prompt

This prompt tells ChatGPT exactly how to structure the report. It keeps everything consistent and prevents hallucinations.

3. Upload your MLS export

Drag the CSV file into ChatGPT.

4. ChatGPT begins analyzing

It will process the dataset, check column names, and start building the report. You’ll get:

• Market overview

• Total active, pending, and closed

• Average and median price

• Price per square foot

• Days on market distribution

• New listing activity

• Price reductions analysis

• Inventory levels

• Segmented trends and insights

It even compares micro trends within the neighborhood like:

• Which price bands move fastest

• Whether renovated homes are outperforming dated ones

• Which features create premium values

• How absorption looks over time

• What the expected days on market is

This used to take hours. Now it takes seconds.

And it’s all driven by real MLS data, not guesswork.

Step 4: Turn the Analysis Into a Presentation With Gamma

This is where everything becomes client ready.

Why Gamma?

Gamma creates:

• A beautifully formatted PDF

• A polished presentation for your listing appointment

• A web page you can send to a client

• A social media carousel

• A vertical story layout

It takes raw text and turns it into something visually impressive.

How to use it

1. Go to gamma.app

2. Click Create New

3. Choose Paste Text

4. Paste your full ChatGPT analysis

5. Choose your output format

6. Choose a visual theme

7. Click Generate

Gamma builds:

• Slides

• Headings

• Subheadings

• Charts

• Layouts

• AI images

You can swap images. You can rearrange pages. You can regenerate individual cards if you want a different look. Gamma handles the formatting automatically.

This is how you create a report that looks like you hired a designer.

Step 5: Use Your Report in Real Life Scenarios

Here’s where this system shines. Real estate professionals use this workflow for dozens of scenarios.

Listing Appointments

Show sellers:

• Clear pricing trends

• How their neighborhood is performing

• Days on market expectations

• Price per square foot benchmarks

• Inventory pressure

• Buyer demand patterns

This is instant credibility. Sellers respect agents who bring data to the table.

Buyer Consultations

Help buyers understand:

• What homes actually sell for

• How fast homes move

• Whether they need to be competitive

• Which upgrades matter most

• Which price bands get the best value

Buyers love context. This makes you the guide.

Farming Campaigns

Send homeowners:

• Quarterly market reports

• Custom neighborhood insights

• Price per square foot breakdowns

• Inventory snapshots

• Buyer demand updates

This builds trust and positions you as the neighborhood expert.

Investor Reports

Investors want:

• Turnover rates

• Price trends

• Flip velocity

• Renovation premiums

• Days on market by condition

• Entry price opportunities

Now you can analyze all of this on demand.

Social Media and Email Marketing

Break your report into:

• Carousels

• Vertical stories

• Short reels

• Email newsletters

Gamma even lets you choose story format so you can create vertical swipeable graphics for Instagram and TikTok.

Step 6: Download the Prompt for Future Use

If you want to start running these reports right away, here’s the reusable prompt:

👉 bit.ly/neighborhoodprompt

Bookmark it. Save it. Use it anytime you want to impress a seller, inform a buyer, or educate your farming area.

Final Thoughts

The real goal here is simple. You should look like the most informed professional in the neighborhood without spending hours building reports manually.

AI lets you:

• Analyze data instantly

• Present insights visually

• Build reports worthy of a listing appointment

• Strengthen your farm strategy

• Support buyers with stronger market education

• Impress investors and create repeat clients

Once you understand the workflow, you can analyze any neighborhood in minutes.

If you want more tools like this, follow me at MileHighTitleGuy.com. I share weekly emails with real estate tools, resources, marketing ideas, and invites to upcoming classes and events throughout Colorado.

I host a ton of workshops and would love to see you out there.