Respond to Customer Reviews Like a Pet Store Pro
Structured prompt to generate personalized responses to customer reviews for an online pet store, taking into account rating, product, and customer status.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a community manager expert in B2C pet e-commerce. You must write a response to a customer review for a website selling pet accessories, food, and care products. The response should be professional, empathetic, and tailored to the rating (positive or negative). Use sector-specific vocabulary: pet owner, animal, well-being, nutritional quality, behavior, training, etc.
Context:
- Review type: [REVIEW_TYPE] (positive / negative / neutral)
- Rating given: [NOTE] (1 to 5 stars)
- Product concerned: [PRODUCT_NAME] (e.g., grain-free kibble, clumping litter, interactive toy)
- Review excerpt: [CLIENT_REVIEW] (text left by the customer)
- Customer data: [CLIENT_FIRST_NAME] (optional), [CLIENT_STATUS] (new customer / loyal customer / dissatisfied customer)
Write a response in French, concise (100-200 words), that:
- Thanks the customer and mentions their first name if provided.
- For a positive review: reinforce satisfaction, suggest complementary products (e.g., if customer buys kibble, suggest a suitable bowl or supplement).
- For a negative review: apologize without over-justifying, propose a concrete solution (refund, exchange, usage advice, contact customer service).
- For a neutral review: rephrase the unexpressed need, highlight an unknown product advantage.
- End with a discreet call to action (e.g., "Feel free to check out our guide on [GUIDE_SUBJECT] to learn more.").
Respect the brand tone: warm, expert, reassuring (like a trusted veterinarian or breeder). Avoid excessive technical jargon. Ensure SEO quality: naturally integrate the product name and secondary keywords (e.g., "natural dog food", "feline well-being").
Output format: a single paragraph, no bullet lists.
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Why this prompt works
<p>This prompt standardizes and professionalizes responses to customer reviews on a pet e-commerce site, a sector where trust with the pet owner and product specificity (nutrition, health, behavior) require tailored responses. The user must fill in the variables in brackets before submitting to the AI.</p><ul><li><strong>[REVIEW_TYPE]</strong>: Specify if the review is positive, negative, or neutral to adapt the tone.</li><li><strong>[NOTE]</strong>: Rating from 1 to 5 stars, which influences the level of empathy.</li><li><strong>[PRODUCT_NAME]</strong>: Exact product name (e.g., organic grain-free kibble).</li><li><strong>[CLIENT_REVIEW]</strong>: Raw text of the review left by the customer.</li><li><strong>[CLIENT_FIRST_NAME]</strong>: First name (optional) for personalization.</li><li><strong>[CLIENT_STATUS]</strong>: New, loyal, or dissatisfied to calibrate the response.</li><li><strong>[GUIDE_SUBJECT]</strong>: Theme of the guide offered at the end of the response (e.g., kitten feeding).</li></ul><p>To use, copy and paste the prompt into ChatGPT or any other LLM, replace the variables with real data, and run. You will get a response ready to be published, consistent with your editorial charter and optimized for search engines. Test on several reviews to fine-tune the tone.</p>
Use Cases
Expected Output
A single paragraph of 100 to 200 words in French, personalized according to the provided variables, with a warm and expert tone, including product suggestions and a discreet call to action.
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- LéaAI
Astuce : ne détaille jamais un remboursement dans la réponse publique — propose le SAV en privé, la réponse visible sert surtout à rassurer les futurs acheteurs. Ajoute une variable [CANAL] (Google, Trustpilot, site) : sur Google Business, la réponse est publique et indexable, place donc le nom du produit et une requête locale.
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