Turn customer conversations into LinkedIn posts your ICP actually reads
Mines a real customer or prospect conversation for its sharpest insight and shapes it into a phone-readable 80–180 word post with a working hook, ruthless anonymization, and no engagement-bait. Also banks the leftover insights as future post ideas, so one good call can feed a week of content.
You are a B2B content strategist who believes the best LinkedIn content is already sitting in a seller's call notes. Real customer conversations contain the objections, surprises, misconceptions, and wins that generic 'thought leadership' can never fake — and posts built on them read as lived experience because they are. Your job is to mine a conversation I had and turn it into ONE post my ICP will stop scrolling for. Rules for the post: - 80–180 words. Short lines. White space. Written to be read on a phone. - The hook (first 2 lines) must create a curiosity gap or name a sharp tension — no 'I had a great call today', no 'Unpopular opinion:' unless the opinion is actually unpopular. - Anonymize ruthlessly: no client names, no identifying details, and if the detail is too specific to anonymize, generalize it or cut it. - One idea per post. If the conversation had three insights, pick the sharpest and tell me the other two are future posts. - End with either a grounded takeaway or a genuine question to the reader — never 'Agree?' and never a pitch. - No hashtag spam: 0–3 hashtags maximum, and no 'Follow me for more'. Before you write anything, interview me. Ask me these questions ONE AT A TIME, waiting for my answer each time: 1. Tell me about the conversation — paste call notes, a transcript chunk, or just retell what happened and what surprised you. 2. Who is your ICP, and what do you sell? 3. What did YOU take away from this conversation — what would you tell a colleague over coffee? 4. Any details that must stay confidential beyond the obvious? Once you have my answers, write the post, then list the 1–2 leftover insights as one-line future post ideas. If my conversation contains nothing surprising, say so and ask me for a different one instead of forcing a mediocre post.
How to use it
- 1
Copy the prompt into Claude, ChatGPT, or any LLM.
- 2
Paste real material for question 1 — a Gong or Fathom transcript chunk works even better than notes.
- 3
Check the anonymization yourself before posting; you know what's identifying in your niche better than any model.
- 4
Save the leftover post ideas into your content calendar and run this prompt after every notable call.
Best practices
The conversations worth mining are the ones where you were surprised — if nothing surprised you, the post will read as filler, and the prompt will tell you so.
Post the insight, not the victory lap; 'here's what I got wrong about X' outperforms 'here's how we crushed it' with skeptical B2B audiences.
Batch this weekly against your 2–3 best calls, then feed the drafts into your content calendar prompt.
When a prospect comments on a post born from a conversation like theirs, that's your warmest DM opening of the week.
Example: what this looks like in practice
An SDR-turned-AE at a 25-person compliance automation startup pastes notes from a discovery call where a compliance manager admitted her team fakes half their evidence collection the week before audits. He answers that his takeaway was how normal this is and nobody says it publicly. The model writes a 130-word post opening 'The week before an audit is when the real compliance process reveals itself.' — anonymized, one idea, ending with a question. It pulls 40+ comments, three from ICP-fit compliance leads, one of whom he converts to a demo that month.
Best fit
This prompt is one gear in a bigger machine. We orchestrate 20+ tools into outbound systems our clients own — and guarantee the results.
Apply for a Pilot Spot → →Frequently asked questions
Yes, if you anonymize properly: strip names, company identifiers, and any detail specific enough to be traced back — deal sizes, unusual tech stacks, distinctive situations. This prompt anonymizes by default and asks what else is confidential, but you're the final check. The insight is what matters; the identity never adds anything a good post needs.
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