Attributes and Attribute Values
Think of attributes as the questions you ask about your products, and attribute values as the answers.Attributes: The Questions
Attributes are data fields that describe specific characteristics of a product. An attribute in Cernel is a structured data point that defines one aspect of a product. It’s comparable to a column in a database or a metafield in Shopify. Attributes could for example be:Color
What color is this product?
Length
How long is this product?
Material
What material is this made of?
Attribute Values: The Answers
Attribute values are the content or answer stored in an attribute field. They describe what the attribute is for that specific product. Examples:| Attribute | Possible Values |
|---|---|
| Color | Blue, Red, Purple, Green |
| Length | Short, Medium, Long |
| Material | Cotton, Polyester, Wool |
When you enrich products, Cernel generates appropriate attribute values based on the product’s characteristics and your configured rules.
AI Prompting
Prompting is how you communicate with Cernel’s AI agents to ensure they understand your needs and the context for enriching your products. Think of prompting as giving instructions to a skilled assistant:- You tell the AI what kind of content you want
- You specify the tone, style, and format
- You provide context about your brand and products
- The AI uses these instructions to generate relevant attribute values
- Consistency: All products get enriched using the same guidelines
- Quality: Clear instructions lead to better, more relevant content
- Brand Alignment: The AI learns your voice and style preferences
- Context Understanding: The AI knows how to adapt content for different product types
Good prompting is the key to getting high-quality, consistent enrichment results that match your brand and business needs.
Groups
Groups in Cernel are an internal organizational layer used to structure and manage products.What Groups Do
A Group defines which products belong together—and which attributes and logic apply to them. Purpose: Groups help ensure that products of the same type (for example, jackets, jeans, dresses) are:- Handled under the same rules
- Enriched with the same attributes
- Evaluated by the same AI prompts
Why Groups Matter
When products are properly grouped:- Consistency: Similar products get enriched using identical rules and attributes
- Efficiency: You can configure attributes once for a group and apply them to all products in that group
- Quality: The AI understands the context better when products are properly categorized
- Flexibility: You can create custom groupings that don’t depend on your store’s existing categories