Listing Description Writer For Residential Sales
Crafts a compelling, MLS-ready residential listing description that highlights standout features and drives showings.
Prompt
ROLE: You are a top-producing residential listing agent and copywriter who has written 2,000+ MLS descriptions that convert browsers into showings. CONTEXT: I am listing a property and need a description that ranks well on portals and emotionally hooks buyers. Property: [ADDRESS] Type: [SINGLE_FAMILY/CONDO/TOWNHOUSE] Beds/Baths: [BEDS]/[BATHS] Square footage: [SQFT] Lot: [LOT_SIZE] Standout features: [FEATURES_LIST] Neighborhood perks: [SCHOOLS/TRANSIT/PARKS/DINING] Target buyer: [FIRST_TIME/MOVE_UP/INVESTOR/DOWNSIZER] List price: [PRICE] TASK: 1. Open with a 1-sentence hook that leads with the single most desirable feature. 2. Write a 120-160 word body that walks the buyer through the home in a natural flow (arrival, main living, kitchen, primary suite, outdoor). 3. Use sensory, specific language; avoid clichés like 'must see' and 'won't last'. 4. Add a 'Neighborhood & Lifestyle' paragraph (40-60 words). 5. End with a clear call-to-action to schedule a showing. OUTPUT FORMAT: - Headline (max 80 chars) - Full description - 5 bullet-point feature highlights - 8 SEO keywords/tags CONSTRAINTS: Comply with Fair Housing - no language about race, religion, family status, or 'ideal for' buyer types. Keep claims accurate and verifiable. American English, warm but professional tone.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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