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Seller Listing Presentation Script

Produces a persuasive listing appointment script that wins the listing and justifies your commission.

Role-BasedStep-by-StepStructured-Output

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. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Recommended models

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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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