TestedOutreach & MessagingSame-Day Use (under 30 min)
About this prompt
This prompt writes LinkedIn comments for SDRs, BDRs, and AEs who want to build familiarity with a prospect before reaching out. It produces multiple comment options that add insight, show expertise, and invite continued conversation — without pitching. Use it when you're warming up a prospect over time through content engagement. Paste or summarize the prospect's post, their name and role, and your goal before running.Commenting on a prospect's LinkedIn post before reaching out is one of the most effective ways to make cold outreach feel warm — but only if the comment actually adds something. This prompt produces multiple comment options calibrated to the post type and your relationship with the author: insight-adding comments for opinion posts, experience-sharing for questions, respectful challenges for claims, and smart questions for data posts. It also provides a follow-up strategy — when to comment versus DM, and how to reference your comments in the outreach message to make the transition feel natural. Key inputs are the post content, the author's name and role, your relationship status, and your ultimate goal. Use this as a pre-outreach warm-up tactic, not as a substitute for outreach itself; the recommended cadence is two to three meaningful comments over two weeks before connecting or messaging. Comments that say 'Great post!' are explicitly what to avoid.The prompt
Thoughtful comments on prospect posts build familiarity before you reach out. Get strategies and templates. Share a prospect's post. I'll write comments that add value and open doors. THE POST: [PASTE
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Variables to replace
THE POST | NAME, ROLE, COMPANY | COLD / WARM / CUSTOMER | WHAT YOU'RE ULTIMATELY TRYING TO ACHIEVE
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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