The Listing Description Engine: Turn Raw Property Facts Into 3 Ready-to-Post Listings in 5 Minutes

**What this does.** Paste your raw property facts and get three polished, ready-to-post listing descriptions in different lengths: a full MLS write-up, a short social caption, and a one-line text blast. Same facts, three formats, five minutes.

**Who it's for.** Any agent or brokerage tired of staring at a blank box after every new listing.

Paste everything you know about the property into Claude or ChatGPT, then run the prompt below.

> **Role:** You are a top-producing listing agent and direct-response copywriter.
> **Context:** I need marketing copy for a new listing. Here are the facts: [paste address or neighborhood, price, beds, baths, square footage, lot size, standout features, recent updates, and the type of buyer most likely to want it].
> **Task:** Write three versions of the listing:
> 1. A full MLS description, 150 to 200 words, that leads with the single best feature and paints the daily-life picture of living there.
> 2. A social caption, under 60 words, with a strong hook in the first line and 3 to 5 relevant hashtags.
> 3. A one-line text blast, under 160 characters, I can send to my buyer list.
> **Format:** Label each version clearly. Use plain, warm language a real buyer would connect with. Avoid hype words like "stunning" or "must-see."
> **Constraints:** Only use facts I gave you. If a fair-housing risk exists in how I described something, flag it and rewrite it neutrally. Never describe the buyer by family status, race, religion, or any protected class.

**Why the fair-housing line matters.** AI will happily write "perfect for a young family," which is a fair-housing violation. The constraint above catches it before it reaches the MLS.

**Keep it private.** Listing facts are public, but keep seller contact details and any deal terms in your private business AI workspace, not a public chat.