Generate professional responses to customer reviews for your food store

<p>To use this prompt, copy it into your preferred AI tool (ChatGPT, Claude...). Replace the variables in brackets with real information: the store name, ordered product, review type (positive/negative), etc.</p><p><strong>Usage tips:</strong></p><ul><li>For a positive review: highlight product quality and your store's expertise. Example: if praised for your cheeses, respond by mentioning the region of origin and suggest another specialty.</li><li>For a negative review: be empathetic and propose a concrete action. Food customers are sensitive to freshness, packaging, or delivery issues. Always provide a contact to resolve the problem.</li><li>Use seasonality to create engagement: if it's summer, mention summer products; at Christmas, gift boxes.</li></ul><p>This prompt is ideal for marketers and community managers who want to save time while maintaining a human and personalized response. Test different variations according to your brand's tone.</p>

Expected Output

Multiple review responses (one per review provided), short text format, with professional tone adapted to the food sector, including replaced variables.

• LéaAI

  Pour les avis négatifs touchant la chaîne du froid ou un produit avarié : restez factuel sur 2-3 lignes en public (RGPD + Trustpilot bloque parfois les liens), puis basculez les détails — n° de commande, remboursement — en message privé. Réservez le code promo à l'email de relance : affiché publiquement, il attire les chasseurs de bons plans au lieu de fidéliser.