This article contains practical prompt examples for common AI Workflow use cases.
These examples can help you:
improve extraction accuracy
generate better ecommerce content
create stronger translations
improve catalog consistency
reduce moderation workload
Use these prompts as starting points and adjust them for your own catalog structure, business rules and product categories.
Attribute Extraction example
Use this type of prompt to extract structured product attributes from existing product content.
Example:
You are a highly precise product attribute extraction engine.
Product Name: {{name}}
EAN: {{ean}}
Description: {{description}}
Extract the following attributes:
Flavor
Lifecycle
Rules:
Only extract explicitly mentioned values
Do not guess missing information
Normalize values consistently
Return empty values if information is unavailable
Normalization:
“volwassen” → “Adult”
“rundvlees” → “Rund”
This type of prompt is useful for:
supplier catalog enrichment
layered navigation
marketplace preparation
filter optimization
SEO enrichment example
Use this type of prompt to generate ecommerce optimized content.
Example:
Generate an SEO optimized shopping description for an ecommerce product page.
Requirements:
Use a professional ecommerce tone
Focus on pet nutrition benefits
Maximum 500 characters
Use natural language
Avoid keyword stuffing
Write in Dutch
Only use verified product information.
This type of prompt is useful for:
shopping descriptions
product descriptions
SEO optimization
marketplace content
Category Mapping example
Use this type of prompt to classify products automatically.
Example:
Assign the product to the most relevant ecommerce category based on the product title, description and extracted attributes.
Rules:
Prefer the deepest matching category
Avoid overly broad categories
Use webshop category structure
Only return one category
This type of prompt is useful for:
supplier imports
uncategorized products
marketplace onboarding
catalog cleanup
Strict extraction example
Use strict prompts when data quality is critical.
Example:
Rules:
Do not guess missing values
Only use explicitly verified information
Return empty values if data is unavailable
Do not invent specifications
Ignore unsupported assumptions
Strict prompts help reduce hallucinations and incorrect output.
Tone of voice example
Use tone instructions to improve brand consistency.
Example:
Write using a professional and trustworthy ecommerce tone focused on premium pet nutrition.
Alternative tone examples:
Luxury and premium
Technical and informative
Friendly and accessible
Conversion focused
Marketplace optimized
Formatting example
Formatting instructions improve output consistency.
Example:
Requirements:
Maximum 500 characters
Use short paragraphs
Avoid HTML
Use sentence case
Avoid bullet points
This is especially useful for:
marketplaces
shopping feeds
storefront consistency
SEO formatting
Multilingual enrichment example
Example workflow:
Attribute Extraction → Content Enrichment → Translation
Example enrichment prompt:
Generate a Dutch SEO optimized shopping description focused on pet nutrition.
Example translation prompt:
Translate the generated shopping description to German using natural ecommerce language.
This workflow structure often performs better than translating raw supplier content directly.
Best practices for prompt examples
Start with simple prompts
Test prompts before scaling
Use category specific logic
Add normalization rules
Prevent unsupported claims
Improve prompts continuously
Important to remember
Prompt examples should be adjusted for:
your catalog structure
your product categories
your SEO strategy
your marketplace requirements
your tone of voice
your moderation strategy
There is no single universal prompt that works perfectly for every workflow.