Library/Prospecting & Pipeline Creation/LinkedIn & Social Outreach/Write LinkedIn Connection Request Note for Demo Invite
TestedProspecting & Pipeline CreationQuick Win (under 10 min)
About this prompt
This prompt helps SDRs, BDRs, and AEs write a connection request note to a prospect on LinkedIn, personalizing it with a profile or activity reference before briefly mentioning your product's value. It stays under LinkedIn's 300-character limit for connection notes. Use it when you're initiating outreach on LinkedIn and want to increase acceptance rates by showing you looked at the prospect's actual profile.LinkedIn connection request notes live or die on one thing: does this feel like a real person noticed something real about me, or is it a spray-and-pray template? This prompt generates a short note for [SALES REP NAME] reaching out to [PROSPECT NAME] that opens with something specific from their profile or recent activity, mentions [PRODUCT/SERVICE] in a single utilitarian sentence, and closes with an invitation that doesn't pressure a yes. The 300-character ceiling is the actual LinkedIn limit for connection note text, so the prompt respects it. Use this for cold LinkedIn initiation — if you've already connected with the prospect, a direct message prompt (0051) gives you more room and a better angle. For best results, identify the profile or activity detail before running the prompt so you can feed it in directly, rather than asking the AI to invent a detail it doesn't have.The prompt
Craft a LinkedIn connection request message for a sales representative named [SALES REP NAME] who wants to schedule a product demo with a potential client named [PROSPECT NAME]. The message should:
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Variables to replace
SALES REP NAME|PROSPECT NAME|PRODUCT/SERVICE
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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