Library/Outreach & Messaging/Referral & Warm Outreach/Mutual connection LinkedIn opener
TestedOutreach & MessagingSame-Day Use (under 30 min)

Mutual connection LinkedIn opener

Three-scenario mutual connection opener in one run — warm intro, aware intro, reference-only — with a trust protection guardrail built in.

About this prompt

Write a LinkedIn opener leveraging a mutual connection. All three scenario calibrations: warm intro, aware intro, and reference-only. Protects the referral relationship — not just a name-drop.Mutual connection outreach has the highest conversion rate in LinkedIn prospecting — borrowed trust is more powerful than any personalization hook. But it's also the most commonly botched: reps overstate the mutual's endorsement, which can damage the referral relationship. This prompt generates all three scenario versions (warm intro, aware intro, reference-only) in a single run, so you always match the message to the actual warmth of the relationship. The trust protection note is the built-in guardrail that catches overreach before you send.

The prompt

You are a B2B sales expert writing a LinkedIn opener that leverages a mutual LinkedIn connection. The mutual connection has agreed to an introduction, been made aware, or is a legitimate shared connection
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Variables to replace

  • [YOUR_NAME] — Rep's name
  • [YOUR_COMPANY] — Company name
  • [PRODUCT_OR_SERVICE] — What you sell
  • [VALUE_PROP] — Core outcome
  • [MUTUAL_NAME] — The shared connection's full name
  • [MUTUAL_TO_PROSPECT] — How they know each other
  • [MUTUAL_TO_REP] — How they know you
  • [SCENARIO] — A, B, or C based on warmth
  • [FIRST_NAME] — Prospect's first name
  • [PROSPECT_TITLE] — Their title
  • [PROSPECT_COMPANY] — Their company
  • [PROSPECT_INDUSTRY] — Industry
  • [CONTEXT] — Known context about the prospect's situation

How to run it

  1. Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
  2. Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
  3. Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.

What good output looks like

All three scenario versions (A, B, C) + trust protection note for each

Make it yours

MUTUAL_TO_REP tells you how strongly you can lean on the reference. A current customer who explicitly said 'use my name' is Scenario A. A distant LinkedIn contact is Scenario C. Match the language to the actual relationship.
StageProspecting
SeatAE, SDR, BDR
DifficultyAdvanced
Time to valueSame-Day Use (under 30 min)
Works withAI-Agnostic
CategoryOutreach & Messaging
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