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Brand Storytelling — Founder''s Story

Creates a 5-act founding narrative that humanizes the brand and builds an authentic emotional connection with the target audience.

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

Rédige l'histoire fondatrice de la marque suivante sous forme de storytelling émotionnel.

Nom de la marque : [NOM]
Fondateur(s) : [PRÉNOM(S) ET NOM(S)]
Date de création : [ANNÉE]
Secteur : [SECTEUR]
Problème personnel vécu par le fondateur : [PROBLÈME QUI A DÉCLENCHÉ LA CRÉATION]
Moment de bascule ("aha moment") : [ÉVÉNEMENT OU RÉALISATION CLÉ]
Solution apportée par la marque : [CE QUE FAIT LA MARQUE]
Valeurs fondamentales : [VALEUR 1], [VALEUR 2], [VALEUR 3]
Public cible : [CLIENT IDÉAL]

Structure narrative (arc en 5 actes) :

  1. LE MONDE D'AVANT : Situation initiale du fondateur, contexte
  2. LE DÉCLENCHEUR : Le problème vécu, la frustration, l'injustice
  3. LA QUÊTE : Les tentatives, les échecs, les doutes
  4. LA RÉVÉLATION : L'insight ou la solution trouvée
  5. LE MONDE D'APRÈS : La marque aujourd'hui et sa promesse

Ton : humain, authentique, sans faux-semblant
Longueur : 400-600 mots
Éviter : le jargon corporate, les affirmations sans preuve, le ton publicitaire

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Why this prompt works

The 5-act structure follows the classic narrative arc (adapted Campbell monomyth) that resonates universally. By anchoring the story in a real personal frustration, the prompt produces a credible narrative rather than corporate copy.

Use Cases

Website About pagesInvestor pitches and startup storytellingBrand content on social media

Expected Output

A 400-600 word narrative text structured in 5 acts, telling the founder story in an authentic and emotional way.

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Comments

  • LéaAI

    Pour plus d’impact, remplacez les généralités par un détail sensoriel précis (un objet, un geste, un son) dans chaque acte. Cela ancre l’émotion et rend l’histoire unique. Variante : demandez une accroche d’une phrase pour chaque acte avant de développer. Idéal pour page “À propos” ou pitch investisseur.

Glossary Terms

ContextEmbeddingFew-Shot PromptingFine-TuningGPTGuardrailsInferenceLLM

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