How to Set Up a Custom Export in PPMLS (Elevate MLS) and Use AI to Analyze Your Market Data
- Jerad Larkin
- 2 days ago
- 7 min read
Most agents in Colorado Springs are sitting on a goldmine of market data and don't even know it.
Your PPMLS account — also known as Elevate MLS, powered by Matrix — contains hundreds of data points on every sold listing in El Paso County and beyond. Prices, days on market, price per square foot, concessions, list-to-sold ratios, closing companies. All of it. The problem isn't that the data doesn't exist. The problem is that most agents don't know how to pull it cleanly enough for AI to actually do something useful with it.
I teach a class in Colorado Springs called "Your Neighborhood, Your Stats: Use AI to Create Market Reports with Infographics." In it, I walk agents through how to build a custom export inside PPMLS, pull exactly the right columns, and feed that data to AI tools like ChatGPT or Claude to generate client-ready neighborhood market reports and infographics in 30 minutes or less.
This post is the written version of that walkthrough. The full class handout — including the complete list of recommended data points and past data sets we've analyzed — is available for download below.
Download the class handout: email Info@MileHighTitleGuy.com to request your copy, or visit milehightitleguy.com to find the download link once published.
As a Sales Executive with Chicago Title of Colorado, I work with agents across Colorado Springs and Denver Metro every week. The agents who are crushing it on listing presentations right now aren't just showing up with a CMA. They're walking in with custom neighborhood infographics, AI-generated market summaries, and hyper-local stats that make sellers think, this agent actually knows my market. And most of it was built in under an hour.
Here's exactly how to do it.
How do Colorado Springs real estate agents export MLS data from PPMLS (Elevate MLS) for AI analysis?
Log into Matrix, go to Settings > Custom Exports, select Residential Property, click Add Export, choose your data columns, set the format to comma-separated with column names, then run your search and export up to 1,500 records directly into any AI tool for market analysis.
Why a Custom Export Beats the Default
When you run a search in Matrix and hit "Export," PPMLS defaults to a Full Export template that can include 40+ columns — most of which are noise for market analysis. Fields like "Alley," "Adjacent Parcel for Sale," and "Appointment Contact" don't help you build a compelling listing presentation.
When you upload a messy, oversized CSV to an AI tool, you get messy, oversized output.
A custom export solves this. You control exactly which fields come through. Clean headers. Clean structure. Data the AI can actually interpret.
This setup takes about 10 minutes once. After that, running your export takes 60 seconds every time.
Step 1: Build Your Custom Export Template in Matrix
Navigate to Settings > Custom Exports
Log into your PPMLS/Elevate MLS account. From the main navigation:
Click Settings in the top navigation bar
Select Custom Exports (you'll see it alongside Hot Sheets, Custom Displays, and IDX Configuration)
In the "Manage Custom Exports" window, click the property type dropdown and select Residential Property
This part matters: make sure you're under Residential Property, not Cross Property. Your export template is tied to the property type you'll be searching.
Add a New Export
Once you're in the Residential Property view:
Click Add Export
Name your export something descriptive — I recommend "AI Market Analysis Export" so it's easy to find later
You'll see two columns: Available Fields on the left, and Export Fields on the right
Use the Add button to move fields from left to right
Step 2: Choose the Right Data Columns
PPMLS has hundreds of available fields. You don't need all of them — you need the right ones. Here's what I recommend including in your AI market analysis export:
Core Property Info:
MLS Number
Address
Zip Code
Sub Area
School District
Type of Property
Floor Plan
Year Built
Total Square Feet
Pricing & Transaction Data:
Listing Price
Sold Price
SP/SqFt (sold price per square foot)
Concessions Amount
Closing/Title Company
Market Timing:
Days on Market
CDOM (Cumulative Days on Market)
Status
Status Change Date
Under Contract Date
Back on Market Date
Property Details:
Bedrooms Total
Total Baths
Garage (Parking) Spaces
Zoning
Once your fields are added, set these two options before saving:
Include Column Names: Set to Name (not Label or None — this is critical)
Separator: Set to Comma
The "Include Column Names: Name" setting is one of the most overlooked steps. It gives your CSV clean, machine-readable headers that AI tools can interpret without confusion. Skip this and your analysis prompt gets wasted trying to figure out what column "LstPrc" means.
Step 3: Run Your Search and Export the Data
Run a Residential Search
In Matrix, go to Search (New!) > Residential > Resi Default Search or Custom Search. Then set your filters:
Status: Sold — set your date range (90 days for a listing presentation, 12 months for a full market report)
County: El Paso for Colorado Springs area
City, Sub Area, or Zip Code: Get as specific as the neighborhood or subdivision you're targeting
Click Results at the bottom of the search screen to see your match count
Important: PPMLS caps exports at 1,500 records. If your search returns more than 1,500 results, tighten your filters — shorter date range, more specific geography, or a specific property subtype. For neighborhood-level work, 1,500 records is almost always enough.
Export Using Your Custom Template
At the bottom of the Results screen, click Export
In the export dialog, find the Export file format dropdown and select the custom template you just built
Click Export — your CSV downloads immediately. Do a quick sanity check in Excel or Google Sheets before uploading to AI.
Step 4: Upload to AI and Prompt for Analysis
Take your CSV and upload it directly into one of these AI tools:
Grok (available via X — good for quick summaries)
Here are three prompts to get you started:
For a neighborhood market summary: "Analyze this MLS data. Give me a summary of market conditions for the past [time period] including median sold price, average days on market, average price per square foot, and what percentage of homes sold above vs. below list price. Format this as a client-ready market report."
For a listing presentation: "I'm preparing a listing presentation for a home in [neighborhood/zip]. Based on this sold data, what are the current market trends? Pull the median sold price, average days on market, and list-to-sold price ratio."
For an infographic: "Based on this MLS data, give me 5-7 key stats for a neighborhood market update infographic. Frame the numbers in a way that's compelling and easy for a homeowner to understand."
The cleaner your export, the better AI performs. This is why the setup in Steps 1 and 2 matters so much.
What to Do With the Output
Once AI has analyzed your data, you've got content that works across multiple channels:
Listing presentations — bring in micro-market stats that show you actually know the neighborhood
Monthly market reports — email your sphere a quick neighborhood update each month
Instagram and Facebook infographics — build in Canva using AI-generated stats
Seller consultations — have data-backed conversations about pricing instead of gut-feel estimates
Geographic farming — build a hyper-local newsletter for a specific subdivision or zip code
One export. One AI upload. Weeks of content and client-facing material.
Download the Full Class Handout
If you want the full resource from this class — including the complete list of available PPMLS data fields, the top 50 recommended data points for AI analysis, and examples from past sessions — download the PDF below.
Download the class handout: email Info@MileHighTitleGuy.com to request your copy, or visit milehightitleguy.com to find the download link once published.
This is the exact handout I use in my in-person Colorado Springs classes. Keep it bookmarked.
About Chicago Title of Colorado
I'm a Sales Executive with Chicago Title of Colorado, which means part of my job is making sure the agents I work with have more than just a title company — they have a business partner. Chicago Title of Colorado has been the trusted title partner for agents across Colorado for decades, and I'm committed to showing up with tools, education, and resources that actually help you grow.
If you're in Colorado Springs and looking for a title rep who does more than process orders, let's talk.
Frequently Asked Questions
What is PPMLS and how does it relate to Elevate MLS?
PPMLS stands for Pikes Peak Multiple Listing Service, the MLS organization serving Colorado Springs and El Paso County. Elevate MLS is the brand name for the Matrix platform that PPAR members use. They refer to the same system — PPMLS is the organization, Elevate MLS (Matrix) is the interface where you do your daily work.
Can I use this same custom export process in REcolorado?
Yes. REcolorado (Denver Metro) uses the same Matrix platform, so the navigation is nearly identical — Settings > Custom Exports > Residential Property > Add Export. Field names may differ slightly, but the workflow is the same. I teach this process for REcolorado agents as well.
How many records can I export from PPMLS at once?
PPMLS limits exports to 1,500 records per pull. If your search returns more, narrow your filters with a shorter date range, more specific geography, or a specific property type. For neighborhood-level market analysis, 1,500 records is almost always more than sufficient.
Which AI tool works best for analyzing MLS data?
Each tool has strengths. ChatGPT (GPT-4) is the most versatile and beginner-friendly. Claude handles large, structured datasets particularly well and produces clean formatted outputs. Google Gemini is a strong choice if your workflow is built around Google Workspace. For most Colorado Springs agents just starting out, ChatGPT or Claude are the best places to begin.
How often should I pull and analyze MLS data?
For active geographic farms and regular sphere communication, pull data monthly. For one-off listing presentations, pull data right before the appointment. Once your custom export is built in Matrix, running the pull takes about 60 seconds — so there's no reason to wait.
Want more tools, tactics, and resources like this? Subscribe to my weekly emails at milehightitleguy.com — I share real estate marketing ideas, AI tools, and exclusive invites to upcoming classes and events across Colorado.
Jerad Larkin
The Mile High Title Guy
Sales Executive | Chicago Title of Colorado
303.630.9430 | Info@MileHighTitleGuy.com
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