Ambientador Mikado Canela-Naranja 1000ml - Difusor de aromas

005. Ambientador Mikado Canela-Naranja - 1000ml

Mikado Kanel-Orange 1000 ml er en genopfyldning til duftpinde med en kanel- og appelsinaroma, der skaber en afslappet atmosfære og en behagelig, sød duft.

Produktet leveres i dunk på 1 liter i professionelt format til professionelle kunder, forhandlere og engroskunder. Det er beregnet til genopfyldning af duftpinde og fungerer som refill til duftpinde og duft til duftpinde; det er ikke et komplet duftdiffuser-sæt.

Du kan finde flere oplysninger her: læs mere om duftpinde og hvordan de fungerer.

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35,63 € 

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Here’s a compact, practical guide and ready-to-use prompt templates to generate high-quality product, category and CMS content for PrestaShop with any LLM (ChatGPT, etc.). Use these templates as-is or copy/paste into your automation to produce CSV/JSON ready for PrestaShop import. Core principles (what makes a “perfect” prompt) - Be explicit: include product data, brand voice, target audience, SEO keywords, and any forbidden claims. - Specify output format: CSV, JSON, HTML-wrapped text, or plain text for copying into PrestaShop fields. - Constrain length and s: character limits for meta title/description, short vs long description lengths, required HTML tags. - Provide accurate data and state when the model must not invent specs (dimensions, weight, materials). - Ask for SEO elements: meta title, meta description, URL slug (link_rewrite), alt text, suggested tags/keywords. - Ask for variation: short description (for listings), long description (product page), bullets for features, FAQs, and schema (JSON-LD) if desired. - Instruct the model to return only the data in the required format — no extra commentary. System-level instruction (use as ChatGPT “system” or prefix) You can start with a system message: "You are a professional e-commerce copywriter and SEO specialist experienced with PrestaShop. Produce concise, accurate, SEO-optimized product/category/CMS content with specified output format. Do not invent technical specifications. Return only the requested structured output." Product prompt template (single product) Produce CSV/JSON or PrestaShop columns. Replace placeholders in { }. Prompt: "Write content for a PrestaShop product using the data below. Do not invent any technical specs; only use values provided. Output must be valid CSV (UTF-8) with header row matching PrestaShop import columns: 'Active, Name [en], Categories, Price tax excluded, Price tax included, Quantity, Reference, Short description [en], Description [en], Tags [en], Meta title [en], Meta keywords [en], Meta description [en], URL rewritten [en], Image URLs'. Wrap 'Short description' and 'Description' in simple HTML (

,

    ,
  • , ) where needed. Keep Meta title ≤ 60 characters and Meta description ≤ 160 characters. Provide an SEO-friendly URL slug (lowercase, hyphens, no accents). Provide alt text for each image (comma-separated after Image URLs, format: url|alt). Use this input: {product_name}, {brand}, {category_list}, {price_excl}, {price_incl}, {quantity}, {reference}, {features_list}, {materials}, {target_audience}, {tone: e.g., friendly/professional}, {language}. If any field is unknown, leave blank." Example to paste with values: {product_name: "Nordic Wool Throw Blanket 130x180 cm", brand: "ScandiHome", category_list: "Home & Living > Bedding", price_excl: "49.00", price_incl: "58.80", quantity: "120", reference: "SH-BLANKET-130", features_list: "100% wool; machine washable; lightweight but warm", materials: "Mulesing-free wool", target_audience: "urban homeowners, 25-55, s-conscious", tone: "warm, stylish", language: "en", image_urls: "https://example.com/images/blanket1.jpg,https://example.com/images/blanket2.jpg"} Product output expectations: - CSV row matching header - Short description: 1–3 short HTML paragraphs or 3 bullet points (max 300 chars) - Description: longer HTML product page copy (150–350 words), features in bullets, washing/care, one CTA - Meta title: ≤60 chars, include primary keyword - Meta description: ≤160 chars, include primary keyword and CTA - URL slug: lowercase hyphenated - Tags: comma-separated keywords - Image alt texts appended to Image URLs as url|alt Example short sample prompt you can paste directly: "Create a PrestaShop product CSV for the product below. Output only CSV with header described earlier. Use the language 'en'. Do not invent specs. Input: name='Nordic Wool Throw Blanket 130x180 cm', brand='ScandiHome', categories='Home & Living > Bedding', price_excl='49.00', price_incl='58.80', quantity='120', reference='SH-BLANKET-130', features='100% wool; machine washable; lightweight', materials='Mulesing-free wool', target_audience='urban homeowners 25-55', tone='warm stylish', image_urls='https://example.com/images/blanket1.jpg,https://example.com/images/blanket2.jpg'" Bulk product generation tips - Provide a CSV/JSON with your base columns (name, reference, price, features) and ask the model: "For each row, generate the following fields: Meta title, Meta description, Short description (HTML), Long description (HTML), URL slug, Tags, image alt texts. Return a CSV with original columns plus generated ones." - Batch in chunks (e.g., 50–200 items) to avoid rate/size issues. - Validate automatically: check meta length, unique URL slugs, no invented specs. Category prompt template For category pages you want SEO-friendly copy and navigation suggestions. Prompt: "Create SEO-optimized category content for PrestaShop. Output JSON with keys: name, meta_title(≤60), meta_description(≤160), url_slug, short_description_html (80–160 words), long_description_html (150–400 words), suggested_filters (comma-separated), hero_h1, image_alt_text. Tone: {tone}. Target audience: {audience}. Primary keywords: {keywords}. Do not invent product data; focus on category benefits, typical product types, and buying signals." Category examples: seasonal category copy, gift guides, "Outlet" vs "New Arrivals" differences. CMS page prompt templates (About Us, Shipping, Returns, Terms, FAQs) General template: "Write a {page_type} CMS page suitable for PrestaShop. Output only HTML for the page body plus a line with meta_title (≤60), meta_description (≤160), and URL slug. Tone: {tone}. Important facts to include: {business_facts}. Legal/compliance points: {compliance_requirements}. Provide a short 'What this means for customers' section and 5 FAQs." Examples: - About Us: brand story, mission, values, sustainability claims (only if true), CTA (newsletter/signup) - Shipping: processing time, shipping partners, estimated delivery, returns link, CTA to shipping calculator - Returns/Refunds: clear steps, deadlines, exceptions, contact method, overview + bulleted steps Prompts for translations and localization - Ask for cultural localization, measurements conversion (cm ↔ inches), currency conversion, local idioms. - Template: "Translate and localize the following product description into {target_language}. Convert measurements to {units} and currency to {currency_symbol}. Adjust phrasing to {region} audience and preserve SEO keywords: {keywords}. Return only the translated meta_title, meta_description, short_description_html, description_html, url_slug." Prompts for images, alt text, and file names - Generate descriptive alt text that includes the main keyword and key attributes (color, model, angle). Prompt: "For each image URL, produce an alt text (max 125 characters) describing the product, color, and context. Return CSV where each row is 'image_url|alt_text'." Prompts for attributes and combinations (size/color) - Supply a list of attributes and ask for canonical attribute labels and combinations. Prompt: "Given attributes: sizes S,M,L,XL; colors: red, navy, black; produce PrestaShop-ready combinations table as CSV with columns: 'Reference, Attribute (size), Attribute (color), EAN13 (leave blank if none), Qty, Price impact'. Base reference: {ref}, base_qty: {qty}." SEO/keywords guidance - Provide primary keyword and 4–6 LSI/secondary keywords. - Instruct the model to place the primary keyword in meta title, first sentence, one H2, and within 2–3 times in the long description (natural). - Avoid keyword stuffing. Keep readability first. Quality control prompts (review and editing) - Prompt to audit content: "Review the following product descriptions for consistency with brand voice, detect hallucinated specs, check SEO (meta lengths, keyword presence), and suggest edits. Output a JSON with fields: issues_found[], suggested_edits_html, confidence_score (1-10)." - Also ask model to generate A/B variants for testing. Practical ready-to-use prompt examples 1) Single product (short): "Write a short and long product description for 'Zora Ceramic Coffee Mug, 350ml, matte black' for PrestaShop. Tone: modern, minimal. Short description: max 300 chars, HTML. Long description: 120–250 words, include 5 bullet feature list and one CTA. Create Meta title ≤60 chars, Meta description ≤160 chars, and URL slug. Primary keyword: 'ceramic coffee mug'. Do not invent materials beyond 'ceramic' or dimensions beyond '350ml'. Return JSON: {name, short_description_html, description_html, meta_title, meta_description, url_slug}." 2) Bulk CSV (multi-row) "Using the attached CSV rows with columns {name, brand, price_excl, price_incl, quantity, reference, features, images}, generate for each row: meta_title (≤60), meta_description (≤160), short_description_html, description_html, url_slug, tags, image_alt_texts. Return a CSV with original columns plus these new columns. Do not invent specs." Safety & verification reminders - Always verify technical specs and compliance claims (e.g., "organic", "waterproof", certifications). - Run automatic checks for duplicate slugs and meta lengths. - Human-review sample outputs before publishing at scale. - For legal/terms pages consult a lawyer before publishing. Automation tips - Use consistent placeholders and a fixed output schema so you can parse results reliably. - Use the model to also produce QA checks and CSV validation steps. - Keep batches small enough for context limits; store product base data and only request generation per chunk. If you want, I can: - Convert one of the templates into a ready-to-run prompt for ChatGPT with your store’s exact fields, brand voice and a sample product list. - Generate a short demo CSV for 3 example products so you can see exact output structure. Which would you like: a ready-to-run prompt prefilled for your store, or a 3-product demo CSV output?

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MK-canenar-1000ml

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