In SKULaunch, content enrichment fields are indicated by a wand icon. These fields are designed to be populated using controlled, AI generated content rather than manual copy and paste.
Content enrichment is separate from data enrichment. It does not discover new product facts. It uses existing attribute values to generate consistent, reusable content.
When to use content enrichment
Content enrichment is most effective when:
• Core product data has already been enriched and validated
• You need consistent content across many products
• Manual content writing would be time consuming
It should not be used to guess missing specifications or invent product information.
How content enrichment works
Content enrichment generates text based on:
• Structured product attributes
• A defined content format
• Rules that control how content is written
Each content field is generated independently, allowing different formats for different use cases such as long descriptions, short descriptions, or feature bullets.
Content format and control
Content enrichment in SKULaunch can be tightly controlled. Content rules may define:
• Layout and structure
• Tone and style
• Terminology and dictionaries
• Words or phrases to exclude
• Minimum or maximum length
These controls ensure generated content is consistent, on brand, and suitable for its intended channel.
Managing content enrichment rules
Content enrichment rules are configured and maintained by the SKULaunch managed service team.
This ensures:
• Prompts remain consistent across the catalogue
• Brand and legal requirements are applied correctly
• Content quality is maintained at scale
If changes are needed to content formats or rules, these should be requested through your SKULaunch support contact.
Reviewing generated content
All content generated through content enrichment is:
• Fully editable
• Reviewable before approval
• Treated like any other attribute value
This allows teams to maintain editorial control while benefiting from automation.
Things to keep in mind
• Content enrichment depends on the quality of underlying data
• Changes to content rules affect all future generations
• Content fields should be reviewed like any other publishable data