How Real Estate Agents Can Use AI to Create Market Reports With Infographics

How can real estate agents use AI to turn MLS data into market reports and infographics that actually look professional and help win business?

You can use your MLS data, export the right fields, upload that data into AI for analysis, and then turn the results into visual market reports or infographics that help you educate clients, stand out in listing presentations, and create stronger real estate content. This blog is based on my presentation, Your Neighborhood, Your Stats: Use AI to Create Market Reports with Infographics, which walks through where to get the stats, how to export them, how to analyze them with AI, and how to turn them into visuals.

If you want the original presentation as a downloadable resource, you can grab it here:

Your Neighborhood, Your Stats (3).pdf

Download PDF • 4.84MB

Why this matters for real estate agents

If you are a real estate agent, you already have access to valuable market data through your MLS. The problem is that most agents either do not use it enough, or they only use surface-level stats that do not really help them stand out.

That is where AI becomes powerful.

Instead of pulling numbers and leaving them stuck in a spreadsheet, you can use AI to help analyze the data, identify trends, and package those findings into something that is easy for clients to understand. That could be a neighborhood market report, a pricing conversation for a seller, a buyer handout, a listing presentation insert, or even a social media infographic.

The PDF presentation lays out that exact flow. It starts with where to get your stats, then moves into how to obtain the data, how to use AI to analyze it, and finally how to turn that into infographics. Your Neighborhood, Your Stats (…

What the presentation covers

The presentation is built around four main ideas:

1. Where you obtain stats

2. How to obtain stats to analyze

3. How to use AI to analyze the data

4. How to use AI to create infographics Your Neighborhood, Your Stats (…

That sequence matters because if you skip steps, the end result usually is not very useful. Great visuals only matter if the data is strong. Strong data only matters if it is exported correctly. And even a perfect export does not help much if you do not know how to turn it into something practical for your clients.

Step one: Start with the right market data

The first step is understanding where your data is coming from and what you want to use it for.

For most real estate agents, the answer is the MLS.

The presentation shows a workflow for building out settings inside the MLS and creating a custom export under residential property so you can start preparing the exact type of data you want to analyze. The slides specifically point to building out settings in MLS, placing the export under residential property, and then selecting “Add Export” so you can choose the data fields you want to work with. Your Neighborhood, Your Stats (…

This is important because not all exports are equally useful.

If you are just downloading random fields, the AI output will only be as good as what you feed it. A cleaner export gives you a cleaner analysis.

What kind of stats should agents pull?

That depends on the goal.

You might want stats for:

• A specific subdivision

• A ZIP code

• A farm area

• A city

• A county

• A particular property type

• A listing presentation

• A seller pricing conversation

• Buyer education content

The PDF includes a slide focused on choosing the datasets that matter most, including all MLS data points, top recommended data points, and previously used data points. Your Neighborhood, Your Stats (…

That is a reminder that before you ever use AI, you need to get clear on what you are trying to answer.

Step two: Build your MLS export correctly

This is one of the most important parts of the whole process.

The presentation shows that when exporting data, you need to format the export correctly. One slide specifically highlights the export screen and warns to make sure the export is formatted properly. Your Neighborhood, Your Stats (…

That might sound basic, but it matters a lot.

If your fields are inconsistent, incomplete, or hard to read, the AI will either miss patterns or give you weaker output. A clean export gives you much better results.

A practical example of how to think about your export

When I am creating market reports or neighborhood analysis, I want to make sure the export includes the fields that help tell a story.

That often includes things like:

• Status

• List price

• Sold price

• Days on market

• Square footage

• Beds and baths

• Year built

• ZIP code

• Subdivision

• Property type

• Concessions

• Listing date

• Closing date

  
  

The point is not to export everything possible.

The point is to export what helps answer the question you are trying to solve.

Step three: Be aware of export limits

One of the slides in the presentation highlights that there is a 1,500 max export limit when pulling records. Your Neighborhood, Your Stats (…

That is a useful reminder because if you are trying to analyze a large market area, a long date range, or a broad set of property types, you may need to narrow your search or pull data in multiple batches.

A lot of agents get frustrated with data analysis because they try to pull too much at once. In reality, tighter filters often lead to better insights anyway.

A smaller, cleaner dataset can be far more useful than a giant spreadsheet full of noise.

Step four: Use AI to analyze the data

Once your export is ready, this is where things get interesting.

AI can help you identify trends that might take much longer to pull manually. Instead of just staring at rows of numbers, you can ask better questions like:

• What trends are showing up in this neighborhood?

• What is changing compared to last year?

• What stands out about pricing?

• Are homes selling faster or slower?

• Are sellers overpricing relative to the market?

• What would be useful to show in a listing presentation?

• What should a buyer know from this data?

The PDF is built around using AI as the bridge between raw MLS data and client-facing insights. That is really the entire value of the process. Your Neighborhood, Your Stats (…

Why this is such a game changer

Most agents can pull data.

Far fewer agents can explain it clearly.

And even fewer can present it visually in a way that feels polished, modern, and easy to understand.

That is where AI gives you leverage.

It helps you move faster from raw numbers to real takeaways.

Step five: Turn the insights into infographics

The final step in the presentation is using AI to create infographics. Your Neighborhood, Your Stats (…

This is where your work starts to become more valuable from a marketing standpoint.

Once your data has been analyzed, you can turn it into:

• Neighborhood market reports

• Seller handouts

• Listing appointment visuals

• Swipeable social media graphics

• Blog content

• Email newsletter content

• Buyer or seller guides

• Short-form video talking points

• 
  

This is one of the biggest opportunities for real estate agents right now.

Consumers are overwhelmed with information. If you can make local market data easier to understand, you become more valuable.

A simple real estate workflow agents can start using

Here is the practical workflow I would follow:

1. Decide the story you want to tell

Do you want to highlight a neighborhood? Compare month-over-month stats? Support a pricing conversation with a seller? Educate buyers about a market shift?

Start there.

2. Pull the right MLS search

Use the residential property search and filter the area, property type, date range, and statuses you need.

3. Export the right fields

Set up your custom export correctly and make sure the format is clean. The presentation emphasizes this step for a reason. Your Neighborhood, Your Stats (…

4. Upload the data into your AI tool

Ask AI to summarize trends, highlight takeaways, and organize the data into plain-English insights.

5. Turn the results into a visual piece

Use those insights to create a one-page report, a slide deck, an infographic, or a social media carousel.

6. Use the content across multiple channels

One report can become:

• A listing presentation insert

• A blog post

• An Instagram carousel

• A reel topic

• An email to your database

• A handout at an open house

• A follow-up piece after a consultation

That is how you get more mileage from one piece of work.

How this helps in real business situations

This is not just about making something look nice.

This can directly help you in situations like:

Listing presentations

Instead of showing up with generic stats, you can bring a custom neighborhood report with visual takeaways.

Pricing conversations

If a listing is sitting, you can use local data and AI-generated insights to explain what the market is really saying.

Buyer education

You can break down a market area in a way that helps buyers feel more informed and more confident.

Farming a neighborhood

You can create regular hyperlocal updates that position you as the go-to resource for that area.

Social media content

Instead of posting generic opinions, you can post local market insights backed by real data.

What makes this different from generic market reports

A lot of agents rely on canned reports.

Those can be helpful, but they usually do not feel personal, specific, or branded around your voice.

When you create your own reports from MLS data and run them through AI, you can make the content much more relevant to your audience.

That is the difference.

You are no longer sharing information that every other agent also has in the same format.

You are curating it, interpreting it, and packaging it in your own way.

The real advantage is positioning

At the end of the day, consumers want clarity.

They want someone who understands the numbers and can explain them simply.

That is what this process helps you do.

It helps you look more prepared. It helps you communicate more clearly. It helps you market more effectively. And it helps you position yourself as a knowledgeable, modern real estate professional.

Best practices when using AI with market data

AI is powerful, but I would still keep these principles in mind:

Verify the numbers

AI is only as good as the data and instructions you provide. Review the output before using it with clients.

Keep the focus local

The more specific you are, the more valuable the report usually becomes.

Use simple visuals

Do not overload people with charts they cannot interpret. Clarity wins.

Make the report client-facing

Think about what the consumer actually wants to know, not just what looks impressive to other agents.

Repurpose the content

One good report should lead to multiple pieces of content, not just one.

Final takeaway

If you are a real estate agent and you want a better way to use your MLS data, this is one of the smartest workflows to start building.

The presentation shows a clear path: pull the right stats, export the data correctly, use AI to analyze it, and turn the results into infographics and reports that actually help your business. Your Neighborhood, Your Stats (…

That is the opportunity.

You already have access to the data.AI helps you interpret it faster.Visuals help you present it better.

And when you put those together, you create something that can genuinely help you win more trust and stand out in the market.

Questions? Contact:

Want more real estate tools, resources, and marketing ideas? Subscribe at MileHighTitleGuy.com/subscribe for exclusive access and event invites.

If you have questions or want help creating better market reports.

reach out:

Jerad LarkinPhone

303.630.9430

Email: Info@MileHighTitleGuy.com