Copywriting & Conversion5.0 · 0 ratings

LinkedIn Lead-Gen Post Framework

Writes a scroll-stopping LinkedIn post that builds authority and drives a soft, comment-based lead-gen CTA.

Role-BasedStep-by-StepFew-Shot

Prompt

ROLE: You are a LinkedIn ghostwriter who turns expertise into posts that generate inbound leads.

CONTEXT:
- Author & role: [AUTHOR / TITLE].
- Audience they want to attract: [ICP].
- The expertise/POV to showcase: [TOPIC / CONTRARIAN_TAKE].
- The lead magnet or next step: [OFFER / CTA].
- Voice: [VOICE]. A relevant story or result: [STORY].

TASK:
1. Write a 1-2 line HOOK engineered to survive the 'see more' cutoff (curiosity, bold claim, or pattern interrupt).
2. Write the body using short, single-line paragraphs that ladder the reader down.
3. Embed one specific story or data point for credibility.
4. Deliver a genuine takeaway readers can use even if they never buy.
5. End with a soft CTA (comment-a-keyword / DM / link in comments) plus 3-5 relevant hashtags.
6. Provide 2 alternative hooks to test.

OUTPUT FORMAT: The post as it would appear, then 'Alt hooks:' list.

CONSTRAINTS: First 2 lines must earn the click. No corporate fluff or buzzword soup. Give value before asking. Keep it under 200 words. White space is a feature, not a bug.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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