Write a Real Estate Market Update With AI

7 min readBy Siqwes

A real estate market update in plain English helps clients follow the numbers behind their local market. Gemini can turn aggregate numbers you supply and verify into a short summary with the math shown, so you can check every figure.

Clients ask how the market is doing, and the answers sit in reports they rarely read. Writing a clear summary each month takes care, because one wrong number or one careless phrase can mislead a client. You stay responsible for every word, so the method needs a check built in.

How do you write a market update with AI?

Paste your agent profile into Gemini, then the prompt below with a few aggregate numbers you supply from your MLS stats or a public report. The prompt asks for a plain-English summary under 150 words with the math shown. Gemini has a free plan, and in the U.S. some features work in the Gemini web app before you sign in.

What are the steps for a market update?

Five steps take you from a stats page to a short client summary, starting with your brokerage and MLS rules. Those rules include what MLS data you may share with clients. The summary covers one area and one month, and client details stay in your brokerage's own systems.

  1. Check your brokerage and MLS rules on AI use and on sharing MLS data, plus your state's license advertising rules.
  2. Gather four aggregate numbers for one area and month, plus the same four for last year, from your MLS stats or a public report.
  3. Paste your agent profile, then the prompt below, into Gemini.
  4. Recalculate every percentage yourself, line by line (see below).
  5. Save the summary and the prompt for next month.

Like we saw in Day 4 of our free educational series for real estate agents, use aggregate numbers only, from a source you're allowed to share with clients. Check your MLS's rules on copying MLS data into other tools before you paste anything.

What market update prompt can you copy?

This prompt is written to sit under your agent profile. It asks Gemini to explain the numbers in plain English, show the math for every percentage change, stay on the numbers and end with your source and month. Fill in the brackets with figures you checked, and keep the rules exactly as written.

Why does each part of the prompt matter?

Each part of the prompt guards one thing: the source, the numbers, the math or the wording. When you know the job of each line, you can fill it in carefully. You can also spot the moment a draft steps past the numbers into opinion.

  • Area and month. A clear area and month make the summary specific, and they match the source line at the end.
  • Source. Naming the report or MLS stats page tells clients where the numbers came from.
  • Numbers you verified, this year and last. Four aggregate figures plus the same four from last year give the comparison. You supply every one.
  • Plain English, under 150 words. A short summary fits in an email or a client newsletter.
  • Show your math. The prompt asks for the working behind each percentage change, so you can recheck it. AI arithmetic can be wrong.
  • The rules on predictions, advice and residents. These lines ask the AI to stay on the numbers and the market, where your broker and Fair Housing guidance want it.

What's another way to check the summary?

Day 4 pairs the summary with a five-point second-pass check you can run on any draft. Save it once, and run it on every summary before it reaches a client. It looks at facts, people words, advice, privacy and your brokerage's rules, in that order.

Read the summary against each line yourself, one line at a time, and note each fix. Keep the checklist where you keep your prompts, so it travels with every draft. If the AI adds its own disclaimer or fair-housing line, delete it and use your brokerage's required wording.

What does it look like before and after?

Here is a before-and-after with placeholders. The before is what the agent types under the prompt. The after is the shape the summary should come back in, with each percentage worked out so the agent can check it against their own calculation.

Before (what you type):

  • Area and month: [Area], [Month and year]
  • Source: [Report name]
  • Numbers: [Median sale price], [Number of sales], [Median days on market], [Active listings], plus the same four for [Same month last year]

After (the shape to expect):

  • Two or three short sentences on what the numbers show for [Area] in [Month and year]
  • Each change with its working, such as [this year's figure] compared with [last year's figure]
  • The closing line: Source: [Report name], [Month].

Say a listing agent runs it this way. If a percentage differs from the agent's own math, the agent corrects it, and any line about the right time to buy gets deleted.

What are common snags and fixes?

Most snags in a market summary come from math, wording or the source. Each has a small fix you can make before the summary goes anywhere. Here are the ones to watch for, each phrased as a change to try in the same chat or in your own copy.

  • If a percentage differs from your own math, try your figure, and recheck the numbers you typed.
  • If a sentence predicts prices or says it's a good time to buy or sell, try deleting it and keeping the summary on what the numbers show.
  • If the area gets described by who lives there, try replacing that line with a number from your source.
  • If the source line is missing, try adding "Source: [source], [month]." yourself.

How do you check the market update?

Check the math first, then the wording. Every number should match your source, every percentage should match your own calculation, and every sentence should describe what the numbers show. This checklist helps you confirm each point before the summary reaches a client:

  • Each number matches your source.
  • Each percentage matches your own math.
  • Every sentence explains what the numbers show.
  • Fair Housing check: each line describes the numbers and the market.
  • Client information stays out of the chat and the summary.
  • The source and month close the summary, with your brokerage's required disclosures.

This check points you to the places to look. Your own read against the source is the final step.

What do agents ask about market updates?

These questions come up when agents start writing monthly summaries. The answers below come from the same lesson. Questions about a home's value, pricing or what a client should do next belong with your broker.

Where should the numbers come from?

Use aggregate numbers from a source you're allowed to share with clients, such as your MLS stats or a public report. If you're unsure about copying MLS data, type the few numbers yourself from a public report.

Can the summary say whether it's a good time to buy?

Keep that conversation with your broker and your client. The summary explains the numbers, and value opinions or pricing advice stay out of it.

How often should I send one?

Pick a rhythm that fits your clients, such as monthly. The prompt asks for one area and one month, so each summary stays specific and easy to check.

What's one more tip?

Turn the same structure into a seller weekly update: showings this week [number], online views [number] and feedback themes in your own words, with buyer details left out. Before you send any summary, ask the AI what questions a client might ask about it. Use that list to prepare your own answers.