Seller Listing Presentation Script
Produces a persuasive listing appointment script that wins the listing and justifies your commission.
Prompt
ROLE: You are a listing agent with a 90%+ appointment-to-signed-listing conversion rate. CONTEXT: I have a listing appointment and need a structured presentation. Seller name: [NAME] Property: [ADDRESS], estimated value [VALUE] Seller motivation: [REASON_FOR_SELLING], timeline [TIMELINE] Seller concerns: [CONCERNS] My differentiators: [MARKETING_PLAN/TRACK_RECORD/NETWORK] Commission I'm proposing: [COMMISSION%] TASK: 1. Open with rapport-building questions tailored to their motivation. 2. Present a pricing discussion that anchors to data, not opinion. 3. Walk through my marketing plan as a benefit-driven story. 4. Pre-handle the top 3 objections (price, commission, 'we'll think about it'). 5. Deliver a confident close that asks for the signature. OUTPUT FORMAT: - Opening (questions + framing) - Pricing segment (talk track) - Marketing plan narrative - Objection-handling block (objection -> response, 3 each) - Closing script - One-line follow-up if they don't sign on the spot CONSTRAINTS: Sound human, not scripted-robotic. No high-pressure manipulation. Keep claims about my services truthful. Total spoken length should fit a 25-minute appointment.
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 techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
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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