top of page
Denver 1.jpeg

My Blog

 

How Real Estate Agents Can Use AI to Create Hyper-Local Market Reports That Win Listings

  • Writer: Jerad Larkin
    Jerad Larkin
  • Jul 24
  • 3 min read

Most real estate agents underestimate the power of today’s AI tools when it comes to marketing, data analysis, and creating content that stands out. But in 2025, technology isn’t just a nice-to-have—it’s a strategic advantage. One of the most effective ways to leverage AI right now is by building custom, hyper-local market reports that are beautiful, easy to understand, and deeply relevant to your clients.

In this post, we’re walking through how to turn raw MLS data into highly polished market reports that work wonders for:

  • Listing presentations

  • Neighborhood farming

  • Social media updates

  • Buyer and seller consultations

Let’s break down exactly how we build these reports using MLS data, artificial intelligence, and one of our favorite formatting tools—Gamma.app.


Step 1: Pull Niche-Specific Real Estate Data from the MLS

The first step is gathering the right data. You don’t need a giant spreadsheet filled with every transaction across the state. The magic happens when you get hyper-local.

Some examples include:

  • All 3-bedroom homes in a specific neighborhood

  • Townhomes sold in the past 6 months in a certain zip code

  • Properties listed and sold around a price point your client is targeting

By narrowing your focus, you’re creating insights that are far more meaningful to the people you’re serving.


Step 2: Analyze with AI — We Prefer Claude Over ChatGPT for This Task

Once you’ve pulled your MLS data into a CSV or spreadsheet, it’s time to analyze. This is where AI steps in.


While ChatGPT works well for general tasks, Claude by Anthropic tends to handle large spreadsheets with more accuracy and speed, especially for summarizing trends like:

  • Median sales price fluctuations

  • Days on market averages

  • Year-over-year comparisons

  • Inventory insights by category

We upload the spreadsheet and use a prompt tailored for real estate market analysis. If you want the exact AI prompt we use, we’ve made it available on MileHighTitleGuy.com.


Step 3: Turn Data into Stunning Visual Reports with Gamma.App

Spreadsheets are useful, but they’re rarely presentation-ready. That’s why we love Gamma.App, a tool that converts raw data and text into clean, modern, interactive reports.


You can easily drag and drop AI-generated summaries, charts, and local images into the report to make it visually appealing. Whether you're presenting to a potential seller or emailing it out as a monthly update to your farm area, this adds a layer of polish that sets you apart from other agents.


Step 4: Share Your Reports and Position Yourself as the Local Expert

With your market report built and formatted, now it's time to distribute it strategically:

  • Include it in your listing presentations to show you're data-driven and tech-savvy

  • Post a preview or graphic on Instagram and Facebook to grab attention and drive traffic to your report

  • Send it as a monthly email newsletter to your past clients, sphere, or farm area

  • Use it as a lead magnet on your website to capture new contacts


These reports aren’t just useful—they’re a powerful way to build trust, start conversations, and convert leads into clients.

Learn how to turn raw MLS data into polished, hyper-local real estate market reports using AI tools like Claude and Gamma.app. Perfect for listing presentations, social media, and client updates—this guide helps agents stand out in 2025’s fast-moving market.

Want to Create Videos Like This for Your Real Estate Business?

If you're a real estate agent looking to simplify your video marketing—whether it's for market updates, client tips, or brand-building content—I’m hosting a live class that walks you through how to use AI to do it quickly and easily.


RSVP here for the next session: https://bit.ly/AIvideoclass

Want my exact AI prompt to make it easy? Grab it here: https://bit.ly/MLSAI


Comments


bottom of page