ChatGPT LinkedIn Connection Request Message Prompt
Write personalised LinkedIn connection requests that get accepted and start real conversations.
Category
🎯 Career
Difficulty
Beginner
Models
3
Last Updated
2026-06-28
Works with
📄 Example output
⚠️ Common Mistakes
❓ FAQ
⚙️ Fill in your variables
📋 Prompt
You are a networking specialist who has built a LinkedIn network of 15,000+ highly relevant connections through personalised outreach.
Your context: [your role and why you're reaching out]
Their context: [their role and what you know about them]
Connection reason: [connection reason — mutual interest/their content/potential collaboration/same industry/job opportunity]
Goal: [goal — grow network/specific conversation/referral/partnership/job lead]
Task: Write 3 LinkedIn connection request message variations:
For each variation:
- Under 300 characters (LinkedIn's note limit)
- References something specific about them or their work
- States clearly why you're connecting
- Ends with a clear next step or open question (if space allows)
- Never uses: 'I'd like to add you to my network', 'I'm reaching out because...', or generic phrases
VARIATION 1: Based on their content (specific post or article)
VARIATION 2: Based on shared professional interest
VARIATION 3: Based on a mutual connection or shared context
Also write: A follow-up message (sent 3 days after acceptance, under 150 words) that opens a genuine conversation without immediately pitching
Your context: [your role and why you're reaching out]
Their context: [their role and what you know about them]
Connection reason: [connection reason — mutual interest/their content/potential collaboration/same industry/job opportunity]
Goal: [goal — grow network/specific conversation/referral/partnership/job lead]
Task: Write 3 LinkedIn connection request message variations:
For each variation:
- Under 300 characters (LinkedIn's note limit)
- References something specific about them or their work
- States clearly why you're connecting
- Ends with a clear next step or open question (if space allows)
- Never uses: 'I'd like to add you to my network', 'I'm reaching out because...', or generic phrases
VARIATION 1: Based on their content (specific post or article)
VARIATION 2: Based on shared professional interest
VARIATION 3: Based on a mutual connection or shared context
Also write: A follow-up message (sent 3 days after acceptance, under 150 words) that opens a genuine conversation without immediately pitching
VARIATION 1 — Based on their content:
'Your piece on AI in content workflows was the most honest take I've read on why most AI content still needs a human editor. Building a free prompt library at ToolsNova — would love to connect.'
[268 chars ✅]
VARIATION 2 — Shared interest:
'Both working on making AI tools actually useful for content teams — you from inside a SaaS company, me building ToolsNova. Seems like our thinking would be worth a connection.'
[177 chars ✅]
VARIATION 3 — Shared context:
'Both in the AI tools space, both trying to solve the 'good input = good output' problem. Your work at [Company] and what we're building at ToolsNova feel complementary. Worth connecting.'
[189 chars ✅]
FOLLOW-UP MESSAGE (3 days after acceptance):
Hi [Name],
Thanks for connecting. I re-read your article on AI in content workflows — your point about the 'almost good enough' trap is exactly what we built the ToolsNova prompt library to solve.
Curious: in your experience, what's the one thing that most reliably separates AI-assisted content that actually ships from the stuff that gets abandoned mid-draft?
Asking because we're thinking about how to frame the problem for users who are 'almost there' with AI.
[Your name]
'Your piece on AI in content workflows was the most honest take I've read on why most AI content still needs a human editor. Building a free prompt library at ToolsNova — would love to connect.'
[268 chars ✅]
VARIATION 2 — Shared interest:
'Both working on making AI tools actually useful for content teams — you from inside a SaaS company, me building ToolsNova. Seems like our thinking would be worth a connection.'
[177 chars ✅]
VARIATION 3 — Shared context:
'Both in the AI tools space, both trying to solve the 'good input = good output' problem. Your work at [Company] and what we're building at ToolsNova feel complementary. Worth connecting.'
[189 chars ✅]
FOLLOW-UP MESSAGE (3 days after acceptance):
Hi [Name],
Thanks for connecting. I re-read your article on AI in content workflows — your point about the 'almost good enough' trap is exactly what we built the ToolsNova prompt library to solve.
Curious: in your experience, what's the one thing that most reliably separates AI-assisted content that actually ships from the stuff that gets abandoned mid-draft?
Asking because we're thinking about how to frame the problem for users who are 'almost there' with AI.
[Your name]
🏆
💡 Pro Tips
Best model for this prompt
Claude
Claude (Opus 4 / Sonnet 4)
The most effective connection requests reference something specific — a post, an article, a mutual contact — that signals you're not sending 500 of the same message
State clearly why you're connecting in the first sentence — 'I'd like to add you to my network' is the least compelling reason anyone has ever given
The follow-up message is where real networking happens — use the acceptance to start a genuine conversation, not to pitch
Follow up once after 3 days if you don't hear back; after that, let it go — persistent follow-up is the fastest way to start a relationship badly
Generic messages that could have been sent to anyone — they get ignored precisely because they signal low effort
Pitching immediately after acceptance — this is the LinkedIn equivalent of proposing on the first date
Connection requests over 300 characters — LinkedIn truncates these and the note loses its point
Not connecting with a note at all for important connections — a relevant note increases acceptance rate by 40%+
- Should I always include a note with a LinkedIn connection request?For important connections (potential employers, collaborators, clients): yes, always. For loose networking within your industry: notes increase acceptance rates by ~40%. For following thought leaders you admire: a short specific note about their content performs well.
- What's a realistic LinkedIn connection acceptance rate?Generic requests: 20–40% acceptance. Personalised with relevant note: 50–70%. Personalised with shared context (mutual contact, same event): 60–80%. The quality of your own profile also matters significantly — a complete, professional profile increases acceptance rates.
- How many connection requests should I send per day?LinkedIn allows roughly 100–200 invitations per week before flagging suspicious activity. Sending 10–20 highly targeted, personalised requests per day is more effective than 50 generic ones. Quality over quantity applies to LinkedIn networking more than most people realise.
- Should I use LinkedIn's 'connect' button or InMail?Connect (with note) is free and works well for 1st-2nd degree connections. InMail (paid) is for 3rd degree or outside your network. For most networking, the free connect with a personalised note outperforms InMail because it feels less like a cold pitch.