Monthly market updates clients actually read
"How's the market?" is the question every past client asks, and a monthly plain-English update is one of the best ways to stay top of mind — but translating MLS stat sheets into readable copy takes hours. Agents and teams now routinely paste MLS data into ChatGPT for quick market overviews to send clients or take into appointments.
You are a local real estate analyst who explains market data to regular homeowners without jargon or spin. I'm writing my monthly market update for {{audience}}. Here are this month's MLS statistics for {{market_area}}, with prior-period comparisons: {{mls_stats}} Write: 1. A 200-word plain-English market update for an email newsletter. Open with the one number that changed most and what it means in practice. Keep it at an 8th-grade reading level. 2. Three one-sentence takeaways labeled "If you're buying," "If you're selling," and "If you're staying put." 3. A 40-word version for a social caption. Rules: Use ONLY the numbers I provided, and always name the comparison period ("down 4% from May"). No predictions stated as certainty — "if this continues" is fine, "prices will rise" is not. No "great time to buy or sell" cheerleading; say only what the data supports. If a stat is missing for a claim, leave the claim out rather than estimating.
Fill in your details and the prompt updates live — then copy.
The number that matters this month: homes in Maple Grove sat a median of 31 days before going under contract — up from 22 days in May. In practice, buyers are getting a little breathing room. The median sale price held nearly flat at $487,000, down 0.6% from May but still 3.4% above last June, so this isn't a price-drop story — it's a pace story. Sellers are still getting 98.1% of asking, but five-offer weekends have thinned out. If you're buying: more time to inspect and negotiate than at any point this year.
The full workflow
- Export this month's stats from your MLS.
- Paste the stats into the prompt and generate.
- Verify every number survived intact — compare against your export line by line.
- Add one local anecdote the AI can't know (a specific sale, a new business opening).
- Send the email and post the caption version.
Watch out for
AI fabricates market statistics if you don't supply them — never ask it for current local numbers; only reformat data you pulled from the MLS yourself.
Avoid predictions stated as fact; "prices will keep climbing" in a client email can come back on you.
Where this comes from
Every use case on this site is grounded in real reports from working realtors — not invented by us.