Real Estate5.0 · 0 ratings

Real Estate Cold Calling Script Generator

Creates a natural prospecting call script for expired, FSBO, or circle-prospecting with branching objection paths.

Role-BasedFew-ShotStructured-Output

Prompt

ROLE: You are a prospecting coach who has trained agents to book listing appointments from cold calls.

CONTEXT: I'm calling a specific lead type and need a conversational script.
Lead type: [EXPIRED/FSBO/JUST_SOLD_NEIGHBOR/PROBATE/ABSENTEE_OWNER]
My market: [CITY/NEIGHBORHOOD]
My unique value: [VALUE_PROP]
Goal of call: [BOOK_APPOINTMENT/PERMISSION_TO_FOLLOW_UP]
Tone: [WARM/DIRECT/CONSULTATIVE]

TASK:
1. Write an opening that earns the first 10 seconds without sounding like a pitch.
2. Ask 2-3 discovery questions that surface motivation.
3. Provide a value bridge connecting their situation to my help.
4. Build branching responses for the 4 most common objections for this lead type (e.g., 'already have an agent', 'not interested', 'just sold it myself', 'call me later').
5. Close by asking for the appointment with a specific day/time choice.

OUTPUT FORMAT:
- Opening
- Discovery questions
- Value bridge
- Objection branches (objection -> 2-line response -> redirect)
- Appointment close
- Voicemail version (under 20 seconds)

CONSTRAINTS: Comply with DNC/calling regulations - include a reminder to scrub the list. No misleading claims. Keep it conversational and respectful; the prospect can say no gracefully.

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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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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Structured Output

Pins 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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