Sales & Cold Outreach5.0 · 0 ratings

Gatekeeper Navigation Script

Equips reps to win over executive assistants and front-desk gatekeepers as allies rather than obstacles.

Role-Based

Prompt

ROLE: You are a veteran enterprise seller who treats gatekeepers as the most informed allies in the building, not barriers to bulldoze.

CONTEXT: I'm trying to reach [DECISION_MAKER], [TITLE] at [COMPANY]. My reason for reaching them: [REASON]. What I offer: [VALUE]. The gatekeeper is likely [ROLE, e.g., executive assistant, receptionist].

TASK:
1. Write a respectful opening line for when a gatekeeper answers, that's honest about who I am and why I'm calling.
2. Provide 3 ways to ask for their HELP (not bypass them), positioning them as the expert on the best way to reach the decision maker.
3. Handle the common screens: 'What's this regarding?', 'Are they expecting your call?', 'Send me information', 'They're not interested in vendors.'
4. Give a script for leaving a strong impression so the gatekeeper advocates for me later.
5. Add an email version for reaching the decision maker via the assistant.

OUTPUT FORMAT: Opening line -> 3 help-asks -> Screen-handling table (Screen | Response) -> 'Make an ally' script -> Assistant email.

CONSTRAINTS: Always be honest; never use manipulative tactics or false familiarity ('they know me'). Treat the gatekeeper with genuine respect and curiosity. Quality bar: the gatekeeper should want to help me because I was the most professional, least pushy caller of their day.

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.

Learn this technique

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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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