Market Summaries

Your MLS gives you the data. Your board sends you the stats. But raw numbers do not impress clients --- clear, confident analysis does. The agents who stand out are the ones who can take a spreadsheet of market statistics and turn it into a narrative that helps buyers and sellers make decisions. ChatGPT makes this process fast and repeatable.

What Data to Feed ChatGPT

ChatGPT does not have access to live MLS data, so you need to provide the numbers yourself. The good news is that you probably already have them. Here are the key data points to gather before writing your prompt:

• Median sale price (current month and year-over-year change)
• Average days on market (DOM)
• Active inventory (number of homes for sale)
• Months of supply (inventory divided by monthly sales pace)
• List-to-sale price ratio (are homes selling above or below asking?)
• Number of closed transactions (current month vs. same month last year)
• New listings (is supply increasing or decreasing?)

You do not need all of these for every summary. Pick the four or five metrics most relevant to your audience. For sellers, focus on days on market, list-to-sale ratio, and low inventory. For buyers, emphasize inventory trends, price movement, and competition levels.

The Market Summary Prompt

Here is a prompt that turns raw data into readable analysis:

Write a market summary for [city/neighborhood] for [month, year]. Here is the data:

• Median sale price: $[X] (up/down [Y]% year-over-year)
• Average days on market: [X] days
• Active inventory: [X] homes
• Months of supply: [X]
• List-to-sale price ratio: [X]%
• Closed transactions: [X] (vs. [X] same month last year)

Write for a general audience of homeowners and potential buyers. Use plain language --- no jargon. Explain what the numbers mean for someone thinking about buying or selling. Keep it under 250 words. Tone: confident and knowledgeable, like a trusted local expert.

The phrase “explain what the numbers mean” is critical. Without it, ChatGPT might just restate the data. You want interpretation, not recitation.

Making It Client-Friendly

Raw data says: “Months of supply decreased from 2.8 to 1.9.”

A client-friendly summary says: “There are now fewer than two months of available homes on the market, which means buyers are facing stiff competition. If you are thinking about selling, this is the kind of market where well-priced homes attract multiple offers within the first week.”

That translation from data to decision is what makes your market summary valuable. And it is exactly what ChatGPT excels at when you prompt it correctly.

Here are a few instructions you can add to your prompt to improve readability:

• “Use bullet points for the key takeaways.”
• “Start with a one-sentence headline that captures the overall market direction.”
• “End with a specific recommendation for buyers and a separate one for sellers.”
• “Avoid percentages where possible --- use phrases like ‘roughly one in five’ instead of ‘20%.’”

Monthly Newsletter Use Case

One of the highest-value applications for market summaries is a monthly email newsletter. Many agents know they should send one but never do because writing it takes too long. Here is how to solve that:

Write a monthly real estate newsletter for my contacts in [area]. Include:

1. A 150-word market update using this data: [paste your stats]
2. A featured listing blurb for [property address with key details]
3. One local tip or event happening this month: [event or tip]
4. A closing call to action inviting people to reach out for a free market analysis

Tone: friendly, professional, like a neighbor who happens to be a real estate expert. Total length: under 400 words.

You can generate this entire newsletter in under a minute, customize it with your personal touches, and send it through your email platform. Agents who send a monthly newsletter consistently report that past clients reach out more often because they stay top of mind.

CMA Summary Basics

A Comparative Market Analysis is one of the most important tools in your listing presentation. ChatGPT cannot replace your CMA software, but it can help you write the narrative summary that accompanies the data. Try this:

I am preparing a CMA for a seller in [neighborhood]. Here are the three best comps:

• [Address 1]: Sold for $[X], [beds/baths/sqft], [days on market], [condition notes]
• [Address 2]: Sold for $[X], [beds/baths/sqft], [days on market], [condition notes]
• [Address 3]: Sold for $[X], [beds/baths/sqft], [days on market], [condition notes]

The subject property is [beds/baths/sqft] with [key features or condition notes].

Write a 150-word summary explaining what these comps suggest about the subject property’s value. Use plain language suitable for a homeowner who is not familiar with real estate terminology.

This gives you a professional narrative paragraph that you can paste directly into your CMA presentation or listing appointment packet. It transforms a table of numbers into a story that sellers can understand and trust.

Keep It Honest

Always double-check the numbers ChatGPT references against your original data. If you feed it “median price: $450,000” and it writes “median price: $445,000,” catch that before it goes to a client. ChatGPT is excellent at interpretation and language, but it occasionally rounds, rephrases, or subtly alters figures. You are the expert --- verify before you publish.

Try It

Pull the latest market stats for your primary area from your MLS or board report. Pick five key metrics (median price, DOM, inventory, list-to-sale ratio, and year-over-year change on price). Paste them into ChatGPT using the market summary prompt from this lesson. Read the output and ask yourself: would I feel confident sending this to a client? If not, refine the prompt by adding “explain what this means for a seller thinking about listing in the next 60 days.”

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