Library/Outreach & Messaging/LinkedIn & Social Messaging/Write Peer-to-Peer LinkedIn Message Without Vendor Language
TestedOutreach & MessagingQuick Win (under 10 min)
About this prompt
This prompt helps AEs and SDRs reframe a LinkedIn outreach as a peer conversation by grounding it in the rep's own professional background rather than their company's product. Use it when the rep has domain expertise that's relevant to the prospect's role — and can credibly claim shared professional context.The vendor-to-buyer dynamic poisons most cold LinkedIn outreach before the second sentence. This prompt builds a message that sidesteps that dynamic by leading with the rep's professional background and shared context with the prospect — the product doesn't appear. Fill in the REP'S ROLE/BACKGROUND (industry, years of experience, functional area) and the PROSPECT ROLE/INDUSTRY; the prompt generates a message under 120 words that reads as one practitioner reaching out to another. Use this when the rep has a credible professional story that's directly relevant to the prospect — a former CFO selling to CFOs, an ex-logistics operator selling to supply chain teams. If the shared context is thin, this prompt will fall flat; use the trend-led cold email or InMail prompts instead. Tip: be honest in the REP'S ROLE/BACKGROUND field — prospects often verify LinkedIn profiles before replying.The prompt
Write a LinkedIn message from a sales rep to a prospect that feels like peer-to-peer communication, not vendor-to-buyer. The rep is [FILL IN rep's role/background] and the prospect is [FILL IN prospec
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Variables to replace
FILL IN REP'S ROLE/BACKGROUND|FILL IN PROSPECT ROLE/INDUSTRY
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- 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
Make it yours
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