✍️RedactionBeginnerAll AIs

Impactful LinkedIn thought leadership post

Generate an authentic and structured LinkedIn post that highlights your expertise and encourages engagement from your network.

Paste in your AI

Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.

Rédige un post LinkedIn de thought leadership sur le sujet suivant.

Sujet ou insight à partager : [VOTRE OBSERVATION / INSIGHT / EXPÉRIENCE VÉCUE]
Votre secteur / expertise : [DOMAINE PROFESSIONNEL]
Public LinkedIn cible : [PROFILS QUI VOUS LISENT]
Objectif du post : [OBJECTIF : générer des leads / inspirer / partager une leçon / lancer un débat]
Ton souhaité : [TON : direct / storytelling / provocateur / bienveillant]

Structure du post :
1. Accroche en 1-2 lignes (pas de "je suis ravi de partager", phrase qui arrête le scroll)
2. Développement en 4-6 paragraphes courts (1-3 lignes chacun)
3. Utilisation de sauts de ligne stratégiques pour la lisibilité
4. Un ou plusieurs emojis pertinents (max 5 au total)
5. Une liste à puces ou numérotée pour les points clés (si pertinent)
6. Une question ouverte en conclusion pour susciter des commentaires
7. 3-5 hashtags pertinents en fin de post

Longueur totale : 150-300 mots
Ne pas utiliser de termes creux comme "synergies", "disruption", "game-changer".

Why this prompt works

The explicit prohibition of LinkedIn clichés forces the AI to produce genuinely distinctive text. The micro-paragraph structure corresponds to LinkedIn's specific readability codes, thus maximizing engagement.

Use Cases

Leaders and executives developing their personal brandIndependent experts seeking to attract clientsB2B marketers positioning their company

Expected Output

A LinkedIn post of 150-300 words, formatted for the platform, with a strong hook, structured development, final question and hashtags.

Learn more

Check the full skill on Prompt Guide to master this technique from A to Z.

View on Prompt Guide

Glossary Terms

Chain-of-thought Few-shot prompting Prompt injection Context Top-p (nucleus sampling)GPT Prompt leaking Hallucination

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