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. Audience: [audience]. Tone: [tone]. Primary keyword: [primary keyword]. Secondary keywords: [kw1, kw2]. Word counts: short_description 20–40 words, description 150–300 words. If a spec is unknown, put null in the technical_spec_table_html or omit the row.
Product data:
- name: [Product Name]
- brand: [Brand]
- sku: [SKU]
- short_features: [“feature1”, “feature2”, ...] (optional)
- specs: {weight: [ ], dimensions: [ ], material: [ ], power: [ ], color: [ ] ... } (optional)
- price: [price string] (optional)
- target_audience: [e.g. “home cooks”]
- use_cases: [short use cases]
- primary_keyword: [primary search keyword]
- secondary_keywords: [list]
Example output (valid JSON) — do not add text outside JSON.
2) Product — short listings for category & search results
Prompt:
You are an ecommerce copywriter. Given the product data below, write:
- title (max 60 chars), optimized for [primary keyword]
- short_description (plain text, 15–30 words)
- 5 concise feature bullets each 6–12 words
Return as JSON with keys: title, short_description, bullets.
3) SEO metadata generator (meta title + meta description + URL slug + focus keywords)
Prompt:
Generate SEO metadata for the product [product name]. Provide:
- meta_title (<= 60 chars, include primary keyword)
- meta_description (120–160 chars, include primary and 1 secondary keyword, call-to-action)
- url_slug (lowercase, hyphenated)
- focus_keywords (array)
Return as JSON.
4) Category page (short + long + SEO + recommended internal links)
Prompt:
You are an ecommerce content strategist. Create content for the category page below. Provide JSON keys:
- category_title (H1, <=60 chars)
- short_intro_html (1–2 short paragraphs)
- long_description_html (2–4 paragraphs + 3 H2 subheads if useful)
- seo_meta_title (<=60 chars)
- seo_meta_description (120–160 chars)
- recommended_internal_links (array of objects {anchor_text, url})
Tone: [tone]. Target audience: [audience]. Primary keyword: [keyword]. Include one call-to-action to view products or contact support.
5) CMS pages — About us / Shipping / Returns / Privacy / FAQ
Prompt template:
You are an ecommerce copywriter who writes clear, trust-building CMS pages for PrestaShop. For the [page type] page, produce:
- page_title (H1)
- content_html (use allowed HTML tags; include headings, short paragraphs, bullet lists)
- suggested_FAQs (array {question, answer_html})
- seo_meta_title and seo_meta_description
Tone: [tone: professional/friendly/etc.]. Target region: [country]. Legal/consumer rules: [e.g., EU consumer rights apply].
Example: About Us prompt specifics: emphasize brand story, USP, trust signals (warranty, secure payments), 2 CTAs.
Bulk processing & CSV/JSON import tips
- Provide an input CSV with columns matching fields: name, brand, sku, specs_json, short_features_json, primary_keyword, secondary_keywords (pipe-separated), target_audience, tone.
- Ask AI to output a CSV row matching PrestaShop import fields: meta_title, meta_description, description_html, short_description_html, tags, price (optional).
- Or ask for JSON array where each object is the product ready to map into PrestaShop import.
Sample bulk prompt:
I will paste a CSV with columns [name, brand, sku, primary_keyword, secondary_keywords, short_features, specs_json]. For each row, return a JSON array of product objects with keys: name, meta_title, meta_description, description_html, short_description_html, tags (comma-separated), features_bullets (array). Do not output anything else.
Example product + example output
Input (product):
- name: Acme Ultra Blender 700W
- brand: Acme
- sku: AC-BL700
- short_features: ["700W motor", "5 speeds", "Dishwasher-safe jar"]
- specs: {capacity: "1.5 L", power: "700 W", material: "BPA-free Tritan", color: "Matte black"}
- primary_keyword: "700W blender"
- secondary_keywords: "kitchen blender, smoothie maker"
- audience: "home cooks and smoothie enthusiasts"
- tone: "friendly, helpful"
Example desired JSON output (abridged):
{
"name": "Acme Ultra Blender 700W",
"short_description_html": "
",
"features_bullets": ["700 W motor for fast blending", "1.5 L BPA-free jar", "5 speeds + pulse", "Dishwasher-safe parts", "2-year warranty"],
"meta_title": "Acme Ultra Blender 700W — Powerful Kitchen & Smoothie Blender",
"meta_description": "Acme Ultra Blender 700W — 1.5 L, 5 speeds, dishwasher-safe. Perfect for smoothies and home cooking. Free delivery over $50.",
"tags": ["700W blender","smoothie maker","Acme"],
"technical_spec_table_html": "
"
}
Formatting and system settings
- Temperature: 0–0.4 for factual, consistent outputs; 0.6–0.9 for creative product copy variations.
- Max tokens: adjust to ensure full description length (e.g., 500–1500 tokens).
- Use a system message if possible: “You are a senior ecommerce copywriter and SEO specialist. Always return valid JSON only.”
SEO and UX tips to include in prompts
- Include primary keyword within first 60 characters and H1/title.
- Keep meta title ≤60 chars, meta description 120–160 chars.
- Use one CTA in meta description (e.g., “Buy now”, “Shop today”).
- Use structured data: request FAQ schema or JSON-LD for key pages if supported.
- Ask for alt text for main product images.
Prevent hallucinations and legal/claims issues
- Explicitly tell model: “Do not invent technical specs, certifications, or warranty lengths. If missing, put null or ‘Contact us for details’.”
- For regulated products (meds, supplements): include legal/regulatory constraints and ask for disclaimers.
Common mistakes to avoid
- Leaving vague constraints (e.g., “make it nice”) — be precise about length, tone and keywords.
- Not specifying output format — makes parsing harder.
- Allowing the model to invent specs.
- Overly high temperature for structured outputs.
Quick checklist to run before using a prompt
- Have product attributes mapped to template fields.
- Decide HTML vs plain text.
- Define primary/secondary keywords and target locale.
- Set length and tone constraints.
- Decide output format (JSON/CSV/HTML) and ask for that only.
- For bulk runs, test on 2–5 products first.
Short prompt examples you can copy-paste
Product full JSON generator (short):
You are an ecommerce copywriter and SEO specialist. For the product below, return ONLY valid JSON with keys: name, short_description_html, description_html, features_bullets (array), meta_title, meta_description, tags (array), technical_spec_table_html (optional). Allowed HTML tags: ...Capacity 1.5 L ,
,
. Tone: friendly. Audience: home cooks in the US. Product: [paste product data]. Primary keyword: [keyword]. Word counts: short 20–35 words, long 120–250 words. Do not invent specs; if missing use null.
Category page short:
You are an ecommerce content strategist. Create content for the [Category Name] category page. Return JSON: {category_title, short_intro_html, long_description_html, seo_meta_title, seo_meta_description, recommended_internal_links}. Tone: [tone]. Primary keyword: [keyword]. Include 1 CTA.
If you want, I can:
- Convert any one of your product rows into the above JSON using a specific prompt.
- Create CSV-ready outputs for bulk import.
- Draft a few real examples (products, categories, CMS pages) based on a sample catalog you paste.
Tell me which you want first (single product JSON / 5 sample products / a category page / an About or Returns page) and paste product data or your CSV header row.
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Beskrivelse
Below is a practical, ready-to-use guide for writing “perfect” AI prompts to generate or improve PrestaShop product descriptions, category pages and CMS pages (About, Shipping, Returns, etc.). It includes prompt templates, examples, output formats (HTML/CSV/JSON), SEO instructions, bulk-processing tips and a quick checklist.
Quick principles (always include these)
- Role + goal: Tell the model who it is and what you want (e.g., “You are an ecommerce copywriter and SEO specialist”).
- Required output fields & format: Specify exact fields and the format (HTML, JSON, CSV, or plain text).
- Tone & audience: Specify tone, audience, country, and language.
- Length & s constraints: Word count ranges, use of bullets, headings, allowed HTML tags.
- SEO & keywords: Provide primary/secondary keywords and whether to include product code, brand, price, shipping info.
- Safety & accuracy: Ask the model not to hallucinate specs — only use provided data; flag unknowns.
- Bulk context: For many items, give a CSV or JSON schema and a template for each row/object.
Core prompt templates
(Replace bracketed fields with real values.)
1) Product — long description + short description + bullets + SEO
You can run this in a single prompt to get structured output.
Prompt:
You are an ecommerce copywriter and SEO specialist focused on PrestaShop. For the product below, produce fields in JSON. Only use data provided — do not invent specs. Keep SEO best practices in mind. Use the provided keywords. Output must be valid JSON with these keys: name, short_description_html, description_html, features_bullets (array of strings), meta_title, meta_description, tags (array), technical_spec_table_html (optional). Allowed HTML tags:
MK-airefresco-500ml
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