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Ambientador Mikado Chicle de Fresa 1000 ml  - Ambientador hogar

017. Refill til duftpinde – Jordbærtyggegummi – 1000 ml

Ambientador Mikado Chicle de Fresa – Jordbær Karamel præsenterer en sød og behagelig duftprofil med jordbær- og karamelnoter. Produktet er fremstillet som en genopfyldning til duftpinde, der tydeligt adskiller sig ved sin jordbær‑karamel karakter.

Leveres i dunk på 1 liter i professionelt format til erhvervskunder, forhandlere og engroskunder. Sælges som genopfyldning til duftpinde (refill til duftpinde) og egner sig som duft til hjemmet; beholder, prop eller duftpinde medfølger ikke.

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

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35,63 € 

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Below is a practical, reusable guide — with ready-to-use prompt templates and examples — to help you write “perfect” AI prompts for generating PrestaShop product content, category descriptions, and CMS pages. Use these templates with ChatGPT (or any LLM) and adapt the fields/constraints to your store and data import format (CSV/JSON/PrestaShop import). Short checklist before you prompt - Provide context (who you are / store / target audience). - Give the LLM the exact output structure you need (JSON/CSV/HTML/text). - Give required fields, optional fields, and formats (word counts, HTML allowed, units). - Provide examples and one perfect sample output if possible. - Specify tone, SEO keywords, locale/language, and any brand voice rules. - Tell the model to not invent product specs (or to mark guessed specs clearly). General prompt principles - Role + Objective: Start with a system-like role: “You are an e-commerce copywriter and SEO specialist.” - Data input: Paste the product’s factual data (title, specs, price, attributes) to ground the model. - Output format: Be explicit — JSON keys, CSV columns, HTML snippets, or free text. - Constraints: word counts, SEO/meta lengths, banned words, HTML allowed/disallowed. - Examples: Provide 1–2 examples of desired output. - Error handling: Ask the model to mark missing facts as “TBD” or leave empty rather than inventing. Product content: fields you’ll likely need - name (product name) - short_description (HTML or plain text, 50–120 words) - description (full HTML, 150–400+ words) - features / bullets (5–10 bullet points) - meta_title (<= 60 chars) - meta_description (120–160 chars) - seo_keywords / tags - image_alt_texts (one per image) - category_suggestion - price / currency - reference / SKU, EAN13/UPC - condition (new/used) - combinations/variants (color, size, SKU per variant) - attributes/specs (weight, dimensions, material, care) - stock_quantity / available_now_text - warranty / manufacturer - shipping info (size/weight notes) - visibility (catalog/search/both) - customization/attachments if relevant Template: Product prompt (general) "You are an experienced e-commerce copywriter and SEO specialist for PrestaShop stores. Using the factual data below, create the following outputs in JSON format exactly as specified. Do not invent any technical specs; if a spec is not provided, set its value to null or 'TBD'. Keep tone: [friendly/professional/technical/brand voice]. Language: [en-US]. Target audience: [example]. SEO target keywords (priority order): [keyword1, keyword2]. Word counts: short_description = 50–90 words (HTML allowed,
    OK), description = 160–300 words (HTML allowed). meta_title <= 60 chars, meta_description 120–155 chars. Provide image_alt_text for up to 5 images. Provide up to 8 bullet features. Output fields exactly: name, short_description, description, features (array), meta_title, meta_description, seo_keywords (comma-separated), image_alt_texts (array), category_suggestion, sku, price, currency, weight, dimensions, stock, variants (array of {name, sku, price_diff, stock}), tags (array), warranty, shipping_notes. Here is the product data: [paste product factual data]. Example output: { ... } Now produce the JSON." Example: Product prompt with sample data (you can copy/paste and adapt) "You are an experienced e-commerce copywriter and SEO specialist for PrestaShop stores. Using the factual data below, create the outputs below in JSON and HTML where specified. Do not invent any specs; if a spec is missing, set it to null. Factual data: - name: EverTrail Women’s Waterproof Hiking Jacket - material: 100% recycled nylon with DWR finish - waterproof rating: 10,000 mm - breathability: 10,000 g/m²/24h - weight: 350 g (size M) - colors: Slate Blue, Forest Green, Black - sizes: XS,S,M,L,XL - sku_prefix: ET-W-JKT- - price: 129.99 - currency: USD - stock: 120 - manufacturer: EverTrail - images: front.jpg, back.jpg, hood.jpg Requirements: - Tone: friendly, practical - short_description: 55–75 words, allowed HTML ,
      ,
    • , no images - description: 180–260 words, include 2 usage scenarios and a quick-care instruction - meta_title: <= 60 chars, include top keyword 'women’s waterproof hiking jacket' - meta_description: 140–155 chars - provide features: 6 bullets - image_alt_texts for each image (3) - variants: include color/size combinations example for slate blue size M (sku ET-W-JKT-SB-M) - Provide category suggestion: 'Women > Clothing > Jackets'" Then provide an example output (short, valid JSON). (Omit long real JSON here — but when using, include one.) Product prompt example output (illustrative) {name: "EverTrail Women’s Waterproof Hiking Jacket", short_description: "Lightweight, fully waterproof...", description: "

      Designed for ...

      ", features: ["10,000 mm waterproofing", "Fully taped seams", ...], meta_title: "Women’s Waterproof Hiking Jacket – EverTrail", meta_description: "Lightweight, breathable women’s waterproof hiking jacket—10k/10k membrane. Packable, eco-friendly.", seo_keywords: "women's waterproof hiking jacket, breathable hiking jacket, packable rain jacket", image_alt_texts: ["EverTrail jacket front view", ...], category_suggestion: "Women > Clothing > Jackets", sku: "ET-W-JKT-000", price: 129.99, currency: "USD", weight: "350 g", dimensions: null, stock: 120, variants: [{name:"Slate Blue / M", sku:"ET-W-JKT-SB-M", price_diff:0, stock:12}], tags:["waterproof","breathable","packable"], warranty: "2 years", shipping_notes: "Ships in 1–2 business days."} Category description prompt "You are an SEO-savvy e-commerce copywriter. Create a category description for the PrestaShop category 'Women > Footwear > Hiking Boots'. Provide two lengths: short (40–80 words) for category landing thumbnails and long (150–240 words) to appear at the bottom of the category page. Tone: authoritative but approachable. Include the target keywords: 'women's hiking boots', 'waterproof hiking boots for women'. Also give meta_title (<=60 chars) and meta_description (120–155 chars). Output as JSON: {short_description, long_description, meta_title, meta_description, seo_keywords}." CMS page prompt (policies, about, shipping) Example: Shipping policy "You are an e-commerce policy writer. Write a PrestaShop CMS page for 'Shipping & Delivery' that covers shipping zones, delivery times, handling times, carriers, tracking, free-shipping thresholds, returns link, and a short FAQ. Tone: clear and reassuring. Keep it scannable: use headings and short paragraphs or
        . Include an optional meta_title and meta_description. Output in HTML suitable for PrestaShop CMS content." Bulk generation: CSV/JSON for import If you need to generate many products at once, ask for a CSV-ready output. Provide the exact CSV column headers your PrestaShop version expects. Example prompt fragment: "Output a CSV with these headers exactly: 'name;reference;price;tax;quantity;short_description;description;meta_title;meta_description;categories;tags;image_urls;features'. Use semicolons as separators. Each product row must escape semicolons. Provide up to 10 sample rows for the products listed below. Do not invent specs." Multilingual output and translations - Provide the source language and target languages. - Ask for content plus a separate localized meta_title/meta_description per language. - Request that translations preserve tone and keyword intent, and adapt keywords to local search habits. Example: "Also provide a Spanish (es-ES) translation of short_description and meta fields." Tone, SEO & formatting tips - Specify primary and secondary keywords, but don’t over-stuff. Ask the model to use primary keyword near the start of meta_title and early in description. - Specify meta_title length (<60 chars) and meta_description length (120–155 chars). - For HTML descriptions: allow only safe tags (

        ,

          ,
        • ,,,
          ,

          ) and state whether to include schema/FAQ markup. - Ask for bullets/features first as plain text and then as an HTML
            . - Give examples of brand words/phrases to include or avoid. Prevent hallucinations and bad outputs - Ground the model with factual data (specs and images). - For specs the model doesn’t know, instruct to output "TBD" or null rather than inventing. - Ask for a final short "data validation" list: e.g., "Check that price is numeric, sizes match provided sizes, image filenames match supplied list." Iterative refinement prompts - If first output is too long/short: "Shorten descriptions by 30% while keeping core features." - If tone is off: "Rewrite descriptions with more technical tone and remove colloquialisms." - To create A/B variants: "Generate three alternative meta_descriptions focusing on (1) features, (2) price/value, (3) eco-friendly materials." Quick sample prompts you can copy/paste 1) Single product, JSON "You are an e-commerce copywriter and SEO expert. Using this product data [paste], create a JSON object with these fields exactly: name, short_description (HTML, 50–80 words), description (HTML, 160–260 words), features (array of 6), meta_title (<=60 chars), meta_description (120–155 chars), seo_keywords (comma-separated), image_alt_texts (array). Do not invent specs; if missing, use 'TBD'. Tone: friendly, professional. Target keyword: [keyword]." 2) Category content "Write short (50–80 words) and long (150–220 words) descriptions for the PrestaShop category '[category name]'. Include primary keyword '[keyword]'. Provide meta_title and meta_description and 5 SEO tag suggestions. Output in JSON." 3) CMS page: About "Write an About Us CMS page for our PrestaShop store. We are [brand description]. Include brand mission, sustainability commitments, manufacturing overview, trust badges, and a short FAQ. Tone: authentic and concise. Output in HTML and include a meta title/meta description." 4) Bulk CSV output "Produce a CSV using semicolons with these headers [list headers]. For these 5 raw product rows [paste data], output cleaned and SEO-optimized columns (short_description in HTML, description plain text, meta fields). Do not invent facts. If a field is missing, leave blank." Common mistakes to avoid - Vague prompts: don’t just say “write a product description.” Provide specs and constraints. - Not specifying output format: AI will return prose not import-ready data. - Allowing hallucinations: explicitly forbid inventing specs or ask the model to mark guessed values. - Too broad SEO instructions: give specific target keywords and max lengths. - Forgetting localization: specify language/locale and units (cm/inches, kg/lbs). Testing and verification - Run samples through your PrestaShop import on a staging store. - Check character limits for meta fields in PrestaShop theme (different themes may trim metadata). - Validate that HTML tags are allowed and safely rendered. - Spot-check generated specs vs. original manufacturer sheets. If you want, I can: - Convert one of your product rows into an exact prompt ready to use. - Generate 3 product description variants for a sample product you give me. - Produce a CSV-ready sample using your specific PrestaShop import headers. Which would you like me to do next? If you want, paste one product’s factual data and I’ll produce a perfect prompt and a sample output for PrestaShop.

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MK-chiclefresa-1000ml

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