Content Enrichment prompts control how AI generates product content inside AI Workflows.
Well written prompts improve:
SEO quality
conversion focused content
marketplace readiness
tone consistency
catalog quality
Poor prompts often create:
generic descriptions
inconsistent formatting
repetitive output
weak SEO structure
This article explains how to create stronger enrichment prompts for AI Workflows.
What enrichment prompts do
Enrichment prompts instruct the AI to generate or improve product content.
Examples:
product descriptions
shopping descriptions
SEO titles
meta descriptions
marketplace content
short descriptions
The prompt determines how the generated content should behave.
Recommended enrichment prompt structure
Strong enrichment prompts usually contain:
Goal
Tone of voice
Formatting rules
SEO requirements
Content restrictions
Output language
Example enrichment structure
Goal
Generate a Google Shopping optimized product description.
Tone of voice
Use a professional ecommerce tone focused on pet nutrition.
Requirements
Maximum 500 characters
Use natural language
Highlight key benefits
Avoid keyword stuffing
Write in Dutch
Restrictions
Do not invent specifications
Do not repeat the product title excessively
This structure creates more predictable output.
Use dynamic variables
Templates should use product variables whenever possible.
Examples:
{{name}}
{{description}}
{{sku}}
{{ean}}
This allows prompts to adapt automatically per product.
Example:
Product Name: {{name}}
Description: {{description}}
The AI can then generate more contextual output.
Be specific about the goal
Weak prompt:
Generate a product description.
Better prompt:
Generate an SEO optimized shopping description using a professional ecommerce tone focused on pet nutrition.
Specific prompts create stronger results.
Add formatting requirements
Formatting instructions improve consistency.
Examples:
Maximum 500 characters
Use bullet points
Write in short paragraphs
Avoid HTML
Use sentence case
Without formatting rules, output may become inconsistent across products.
Define tone of voice
Tone instructions help maintain brand consistency.
Examples:
Professional
Informative
Luxury
Playful
Technical
Conversion focused
Different categories may require different tones.
Add SEO instructions carefully
SEO instructions can improve discoverability.
Examples:
Mention important product benefits
Use natural keywords
Avoid keyword stuffing
Prioritize readability
Avoid overly aggressive SEO prompts because they often create unnatural content.
Prevent hallucinations
Enrichment prompts should clearly define limitations.
Examples:
Do not invent product specifications
Only use verified product information
Avoid unsupported claims
Do not generate medical promises
Strict prompts reduce unreliable output.
Use category specific prompts
Different product categories require different enrichment logic.
Examples:
Fashion
Focus on:
fit
material
style
seasonal use
Electronics
Focus on:
compatibility
specifications
performance
technical benefits
Pet food
Focus on:
nutrition
flavor
lifecycle
dietary support
Category focused prompts improve output quality significantly.
Use extracted workflow data
Content Enrichment becomes much stronger when combined with Attribute Extraction.
Example:
Attribute Extraction identifies:
Flavor
Lifecycle
Content Enrichment uses those attributes inside the generated description automatically.
This creates richer and more contextual output.
Example enrichment prompt
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 information available in the product data.
This creates controlled ecommerce focused output.
Test enrichment prompts carefully
Before running workflows on large catalogs:
test prompts on sample products
inspect generated content
review confidence scores
validate formatting
inspect tone consistency
Testing is strongly recommended before large scale execution.
Common enrichment prompt mistakes
Overly generic prompts
Weak prompts usually create:
repetitive content
vague descriptions
inconsistent formatting
Missing restrictions
Without restrictions, AI may:
invent specifications
exaggerate benefits
generate unsupported claims
Too many instructions
Overly complex prompts may reduce consistency.
Focused prompts usually perform better.
Best practices
Be specific about the content goal
Define formatting clearly
Use category specific prompts
Prevent unsupported claims
Test prompts before scaling
Improve prompts continuously
Example workflow
Example:
Trigger selects products missing shopping descriptions.
Attribute Extraction extracts:
Flavor
Lifecycle
Content Enrichment generates:
Shopping descriptions
SEO titles
Translation localizes content into German.
Moderation reviews output before synchronization.
This creates a scalable ecommerce enrichment pipeline.