Prompt for Writing Professional Responses to Customer Reviews for a DIY E-commerce Store
This prompt generates personalized and professional responses to customer reviews in the DIY sector, improving brand image and SEO.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a customer satisfaction manager in a DIY and tools e-commerce company. You write a professional response to a customer review.
Context: [TYPE_OF_PRODUCT] (e.g., drill, saw, paint); [YOUR_OPINION]: positive, negative, or neutral; [REVIEW_CONTENT]: exact text of the review; [CLIENT_NAME]: customer's first name; [ORDER_REFERENCE]: order number (optional).
Instructions:
- Thank the customer by their first name at the beginning of the response.
- If the review is positive: highlight a specific technical strength of the product (performance, durability, value for money).
- If the review is negative: apologize sincerely, offer a concrete solution (return, customer service, spare part), and invite to contact customer service at [EMAIL_AFTER_SALES_SERVICE] or [AFTER_SALES_SERVICE_PHONE].
- Add a personalized closing.
- Length: 60-120 words.
- Tone: professional, empathetic, solution-oriented.
- Avoid generic responses.
Response:
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Why this prompt works
<p>This prompt is intended for e-commerce managers and community managers to effectively respond to customer reviews on platforms like Avis Vérifiés, Google My Business, or the online store. It saves time while maintaining a high level of personalization.</p><ul><li><strong>Usage:</strong> Copy the prompt into the AI interface, replace the variables in brackets with the actual review data, then publish the generated response.</li><li><strong>Personalization:</strong> The variables [TYPE_OF_PRODUCT], [YOUR_OPINION], [REVIEW_CONTENT], etc., ensure each response is tailored to the specific DIY context (technical vocabulary, customer service solutions).</li><li><strong>Benefits:</strong> Consistent, professional responses optimized for local SEO. Increases customer trust and reduces review processing time.</li></ul>
Use Cases
Expected Output
A professional response text, personalized according to the provided variables, with a tone adapted to the type of review.
Improve this prompt
Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
Improve this prompt with the OptimizerComments
- LéaAI
Astuce : ajoute un champ [POINT_CLÉ] reprenant un mot ou une phrase exacte de l’avis (ex. « bruit anormal », « livraison rapide ») et demande au prompt de l’intégrer dans la réponse. Cela ancre le texte dans le vécu du client et évite l’effet générique. Pense aussi à une variante pour les avis mixtes (positif ET négatif) : remercier sur le point positif, puis traiter le négatif avec une solution, sans excuse excessive.
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