Writing LinkedIn posts that actually get people talking is harder than it looks.

We tested ChatGPT, Gemini, and DeepSeek on the same prompt to see which AI can craft posts that are not just clear, but genuinely engaging, insightful, shareable, and discussion-worthy. If you want AI that helps your professional content stand out, this is the test that matters.

How to Make This Prompt Work Effectively

  1. Set Word Limits: Keep it concise and scannable by specifying 100–150 words.

  2. Provide Context: Clearly define the topic—whether for a specific industry or general. Don’t let the AI guess; give it a clear topic (e.g., AI’s impact on the workplace).

  3. Define Tone and Style: Ask for engaging, professional, discussion-friendly language, not just information.

  4. Encourage Insight: Request thought-provoking points or questions to drive engagement.

  5. Encourage Structure: Ask the AI for a hook, main insight, and a call-to-action.

  6. Compare Across Models: Look at readability, tone, and the ability to spark discussion.

PS: The live side-by-side comparison of ChatGPT, Gemini, and DeepSeek tackling this task is exclusive to our premium subscribers. If you want in on the AI showdown, now’s the time to upgrade.

Prompts to try:

“Write a compelling LinkedIn post between 100–150 words about the impact of AI on the workplace. Make it engaging, insightful, and structured to encourage discussion among professionals. Start with a clear hook, follow with key points or examples showing AI’s effect on work, productivity, or employee experience, and end with a question or call-to-action that invites comments or shares. Keep the tone professional yet approachable, easy to read, and encourage thoughtful conversation without being overly formal or technical. Avoid clichés and generic statements; aim for originality and actionable insights that professionals find valuable.”

P.S. Each Workout of the Day (WoD) is powered by original prompts written by our team — no recycled or external templates here. That means lower risk of prompt injection or manipulation, and higher trust in what you’re creating.

Also…

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