Your AI LinkedIn Draft Sounds Generic: 5 Prompts That Make It Useful

Search intent: You used ChatGPT for a LinkedIn draft and it came back smooth, generic, and forgettable. You need prompts that start from your notes and constraints—not "write me a generic post"—so you can edit something specific instead of polishing filler.

The workflow is not "ask AI to write a post." It is: give AI raw material, ask for structure, then edit until the post sounds earned. These five prompts cover notes, hooks, mobile spacing, missing proof, and useful endings.

Prompt 1: Turn notes into a clear post

Use these rough notes to draft a LinkedIn post for [audience]. Keep one main point. Start with the tension, not the background. Use short paragraphs. End with a practical takeaway. Notes: [paste notes]

Before (your notes): onboarding confusing, users skip setup, removed two steps, activation better

After (usable draft shape): Users were finishing our onboarding checklist and still not activating. The checklist looked successful. The product was not. We removed two setup steps and rewrote the first screen around one action. The lesson: a completed checklist is not the same as experienced value.

Prompt 2: Find a stronger hook

Give me 10 hook options for this post. Make each hook specific, calm, and professional. Avoid hype, fake controversy, and vague phrases like "game changer." Post idea: [paste idea]

Pick the option that names the clearest tension, then rewrite it in your voice. Do not publish the first line ChatGPT likes best.

Prompt 3: Rewrite for mobile readability

Rewrite this LinkedIn draft for mobile readability. Keep the meaning. Break long paragraphs only where the idea changes. Use bullets only when they help comparison. Do not make every sentence dramatic. Draft: [paste draft]

Use this after you have a real draft—not to turn thin ideas into broetry.

Prompt 4: Add proof and examples

Review this draft and point out where it sounds generic. Suggest specific examples, proof points, numbers, customer moments, or before-and-after details I could add. Do not invent facts. Draft: [paste draft]

AI will suggest gaps; you supply the real evidence. Never paste invented metrics into a public post.

Prompt 5: Make the ending useful

Give me 5 possible endings for this LinkedIn post. Each ending should leave the reader with a useful rule, checklist, question, or next action. Avoid motivational slogans. Draft: [paste draft]

Before and after: generic AI draft vs edited post

Before (typical AI output):

In today's fast-paced world, founders need to focus on clarity. Here are three lessons I learned about onboarding. First, listen to users. Second, simplify flows. Third, keep iterating. What do you think?

After (edited with prompts 1–5):

Our onboarding checklist had a 90% completion rate. Activation barely moved.

Users were checking boxes, not reaching the first useful outcome. We removed two steps and moved an advanced setting out of day one.

Before you add another onboarding screen, ask: does this step create value, or only the feeling of progress?

What to edit manually every time

• Voice: remove phrases you would never say aloud.
• Specificity: add the real project, metric, customer quote, or mistake.
• Claim strength: soften anything bigger than your evidence.
• Opening: make sure the hook is clear before the mobile cutoff.
• Formatting: add line breaks and emphasis only after the idea is solid.

AI-to-LinkedIn checklist

• Did you start from notes, not a blank "write a post" prompt?
• Is there one main point, not three merged ideas?
• Did you replace generic lines with something only you could know?
• Did you remove invented stats, customer names, or results?
• Does the ending give the reader a rule or question, not a slogan?
• Did you preview the opening on a phone before publishing?

Paste your edited draft into the LinkedIn text formatter to clean spacing and emphasis before you copy into LinkedIn.