What's an effective AI prompt for drafting a comparative market analysis summary for a client

The Prompt

Turn this comparable-sales data into a CMA summary for a client selling [property].

Comps: [paste addresses, sale prices, dates, key features for 3-5 comps]
Subject property: [key features]

Explain how the comps support the suggested price range in plain language a non-agent can follow — don't just list numbers, explain the reasoning (adjustments for condition, size, location differences).

Why This Prompt Works

Clients who understand the reasoning behind a suggested list price are measurably easier to keep aligned through the listing and negotiation process than clients handed a number without explanation — walking through the adjustment logic (why this comp counts for more or less) is what actually builds that understanding.

How to Customize It

Supply your own adjustment reasoning for condition/size/location differences — that judgment call is the agent’s expertise, not something to leave to the model’s assumptions. Include recent market trend context too (is inventory rising or falling in the area) since that shapes how much weight a client should put on comps that closed more than a couple of months ago.

Common Mistakes to Avoid

Don’t let the summary present a single number as certain — a defensible CMA presents a range and explains what would move the price within it. Also avoid using comps that don’t genuinely compare well just because they’re recent or nearby; a client can tell when a comp doesn’t fit, and it undermines trust in the rest of the analysis.

Bottom Line

A good CMA-summary prompt turns raw comp data into a reasoned explanation a client can follow, not just a number — that’s what keeps sellers realistic through the process.