Library/Prospecting & Pipeline Creation/LinkedIn & Social Outreach/Write LinkedIn DM Referencing a Prospect's Post
TestedProspecting & Pipeline CreationQuick Win (under 10 min)
About this prompt
This prompt helps SDRs, BDRs, and AEs write a LinkedIn message to a prospect triggered by something they posted, sharing a related perspective before moving to a question about how they're handling a challenge at their company. The message avoids any product mention. Use it when a prospect posts content in your area of expertise and you want to open a warm conversation before commercial outreach.Post-based LinkedIn outreach is the highest-signal cold touch available — the prospect has publicly announced a topic they care about, which gives you a genuine reason to reach out that isn't about you. This prompt generates a message to [PROSPECT NAME] that references a specific insight from their post about [POST TOPIC], adds a brief related perspective or experience from your side, and bridges to a question about how they're handling [CHALLENGE RELATED TO POST TOPIC] at [COMPANY] — without pitching [YOUR PRODUCT] at all. The output is designed to sound like a practitioner, not a vendor. Use this prompt when you have a real post to reference — a manufactured reference is easy to spot and immediately tanks credibility. For best results, send the message within 24 hours of the post going live to maximize relevance and likelihood of a response while the topic is still top of mind.The prompt
I want to reach out to [PROSPECT NAME] based on a LinkedIn post they wrote about [POST TOPIC]. Write a LinkedIn message that:
- References a specific, genuine insight from their post
- Shares a brief
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Variables to replace
PROSPECT NAME|POST TOPIC|CHALLENGE RELATED TO POST TOPIC|COMPANY
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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