Write Converting Product Sheets for Your Online Pet Store
Specialized prompt to generate SEO and conversion optimized product sheets for pet e-commerce, with sector variables.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are an e-commerce writing expert specialized in pet stores. Write a product sheet for [PRODUCT_NAME] by brand [BRAND]. The product is for [TARGET_SPECIES] (dog, cat, rodent, bird, fish, reptile). Product type: [PRODUCT_TYPE] (food, accessory, hygiene, toy, bedding).
Mandatory structure:
- Product title (max 70 characters): include main keyword [MAIN_KEYWORD] and brand.
- Hook (1 sentence): immediate benefit for the pet owner.
- Short description (3-5 bullets): key technical features (weight, material, dimensions, composition).
- Long description (200-300 words): tell the product story, benefits for the pet, active ingredients, organic/veterinary certifications. Include [UNIQUE_SELLING_POINT] (e.g., grain-free, made in France, hypoallergenic).
- Call to action: "Add to cart" with a time benefit (fast shipping, limited stock).
- SEO: meta description (max 155 chars) including [SECONDARY_KEYWORD] and a click incentive.
Sector constraints:
- Mention the species and size/age of the animal if relevant (e.g., "for dogs 10-25 kg" or "for adult cats").
- For food: always specify analytical composition (protein, fat, ash) and moisture content.
- For accessories: indicate exact measurements, durability (e.g., braided rope resistant to chewers).
- For hygiene products: list ingredients, organic or veterinary label, instructions for use.
- Tone: expert but caring, reassuring about the quality and safety of the product for the pet.
- Never use unexplained technical jargon.
Output format: JSON with keys 'titre', 'accroche', 'description_courte' (array), 'description_longue', 'appel_a_action', 'meta_description'.
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Why this prompt works
<p>This prompt produces product sheets consistent with the expectations of B2B buyers (pet stores, shelters, breeders) and B2C (individuals). It integrates regulatory and marketing constraints specific to each category (food, accessories, hygiene).</p><ul><li><strong>Customization</strong>: Replace the variables in [BRACKETS] with actual product data. For [TARGET_SPECIES], be specific (e.g., "Persian cat", "Labrador dog"). Use [UNIQUE_SELLING_POINT] to differentiate the product (e.g., "enriched with omega-3").</li><li><strong>SEO optimization</strong>: Keywords [MAIN_KEYWORD] and [SECONDARY_KEYWORD] should be chosen based on search volume (e.g., "grain-free dog food", "clumping cat litter"). The meta description always includes a call to action.</li><li><strong>Channel adaptation</strong>: The prompt is designed for a generative AI assistant. Always verify technical data and regulatory compliance (e.g., food composition). Use the generated JSON for direct integration into your CMS or marketplace.</li></ul>
Use Cases
Expected Output
A structured JSON object with fields: titre, accroche, description_courte (array), description_longue, appel_a_action, meta_description. The content is ready to be used in an e-commerce CMS.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Astuce : lance-le en lot (une ligne CSV par produit) pour garder un ton homogène sur tout le catalogue. Et demande des placeholders type [TAUX_PROTEINES] plutôt que des valeurs : l'IA invente facilement la composition analytique. Ajoute une clé "objections" (2-3) pour alimenter la FAQ produit.
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