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Comparative market analysis: AI prompt for real estate

A ready-to-run prompt for data analysis work in real estate. It assigns the AI a specific senior role, takes your details as variables, and defines the output format — so the first result is usable, not a warm-up.

What this prompt does

Act as a real-estate analyst. It structures the request the way experienced practitioners brief a colleague: context first, then explicit deliverables, then quality constraints.

Best for

Real Estate professionals — and anyone doing this work — who need data analysis handled to a professional standard for buyers, sellers and investors. Typical moments: listings, viewings and closing negotiations.

Before you use it

Have these details ready to replace the highlighted variables:

The prompt

Act as a real-estate analyst. Build a CMA framework for [property] in [area]. Given these comps: [paste comps], adjust for differences (size, condition, floor, view, age) with stated adjustment values, produce an adjusted value range, and write a one-paragraph pricing recommendation with a listing strategy (anchor high vs price-to-bid).

Quality checklist before you run it

Common mistakes

When to use it — and when not to rely on it

Use it whenever data analysis would otherwise start from a blank page. Don't rely on it as a finished product: outputs need your judgment, your facts, and — in regulated work — professional review.

Related prompts

Logical next step

After this, most real estate teams move on to Listing description that sells.

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