Library/Outreach & Messaging/LinkedIn & Social Messaging/Write Personalized LinkedIn DMs Based on Engagement Signals
TestedOutreach & MessagingQuick Win (under 10 min)

Write Personalized LinkedIn DMs Based on Engagement Signals

Generate a LinkedIn DM sequence personalized to a prospect's recent activity — posts liked, comments, signals.

About this prompt

This prompt generates a personalized LinkedIn DM sequence for SDRs and BDRs, calibrated to a prospect's recent activity signals such as posts they've liked, comments they've made, or engagement with competitors. It produces an initial DM and a follow-up message if there's no response. Use it when building LinkedIn as an outreach channel and you have engagement signal data on your prospect.LinkedIn outreach that references what a prospect was doing yesterday converts at a meaningfully higher rate than generic connection requests. This prompt takes a prospect's name, their recent LinkedIn activity (liked posts, comments on competitor content, shared articles), and your ICP criteria, then generates an opening DM that connects your outreach directly to a specific signal — demonstrating you paid attention without being creepy — and a follow-up message to send if the first goes unanswered. Replace {prospect_name}, {recent_activity}, and {ICP} with your actual inputs. Use this as part of a multi-channel outreach workflow when email isn't getting responses and LinkedIn is the right supplement, or when you're targeting an audience that is notably active on LinkedIn. The follow-up message should arrive three to five days after the initial DM — shorter feels aggressive, longer loses momentum. For best output, use specific engagement data rather than generic signals.

The prompt

{ "intro": "You are an AI-driven LinkedIn engagement strategist. Your mission is to generate hyper-personalized LinkedIn DMs for {ICP}.", "task": "Create a LinkedIn DM sequence tailored to {prospect_n
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Variables to replace

"RECENT POST LIKED", "COMMENTED ON A COMPETITOR"|{ "STEP": "INITIAL DM", "MESSAGE": "AI-GENERATED LINKEDIN MESSAGE BASED ON PROSPECT'S ENGAGEMENT." }, { "STEP": "FOLLOW-UP", "MESSAGE": "PERSONALIZED FOLLOW-UP MESSAGE IF NO RESPONSE." }

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

Make it yours

StageProspecting
SeatSDR, BDR, AE
DifficultyIntermediate
Time to valueQuick Win (under 10 min)
Works withAI-Agnostic
CategoryOutreach & Messaging
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