Library/Prospecting & Pipeline Creation/LinkedIn & Social Outreach/Write LinkedIn Connection Requests That Get Accepted
TestedProspecting & Pipeline CreationSame-Day Use (under 30 min)
About this prompt
This prompt writes three variations of a LinkedIn connection request for SDRs, BDRs, and AEs targeting specific prospects — a genuine interest version, a common ground version, and a value-first version, all under the 300-character limit. Use it when adding prospects or referral targets on LinkedIn and you want a reason to connect that doesn't read like a template. Fill in the prospect's name, title, company, and any common ground before running.LinkedIn's 300-character connection request limit is both a constraint and an opportunity — it forces you to say something meaningful before the prospect decides whether to accept. This prompt produces three options for approaching that limit: one that focuses on genuine interest in the prospect's work, one that leads with shared background or mutual connections, and one that offers something useful upfront. None of them pitch. The key inputs are the prospect's details and what you actually have in common — school, LinkedIn group, industry, or mutual contact. Use this as the starting point of a LinkedIn outreach sequence; after acceptance, use the DM sequence prompt to continue the conversation. The connection request is not the place to pitch — that comes later, after you've built some rapport.The prompt
LinkedIn limits you to 300 characters. Make every word count to get accepted and start a conversation. Tell me about the person. I'll write connection requests that don't feel salesy. PROSPECT: ● Name
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Variables to replace
NAME | TITLE | COMPANY | WHAT YOU HAVE IN COMMON | HONEST REASON
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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