Product Content Agent: copy built from attribute data
Product and category copy is produced at scale, often for thousands of items and several markets. That's impossible to do manually, and generative AI quickly produces details that appear nowhere in the data.
The Product Content Agent generates copy exclusively from your attribute data. Anything that isn't in the data set isn't claimed. Terminology and brand language stay consistent across the entire series.
Four skills belong to this agent:
What the Product Content Agent takes on
- Product copy from attributes
Descriptions are built from the data set, not from assumptions. Missing attributes are flagged instead of filled in.
- Category descriptions
Category copy that matches the product range and search intent, instead of filler text above the product list.
- SEO titles and meta descriptions
Metadata for every product and category, produced at scale and following the same rules.
- Terminology and glossary check
Product names, materials and technical terms stay identical across all items and markets.
The four skills of this agent
Product copy from attributes, category descriptions, SEO titles and meta descriptions, terminology and glossary check.
See the Product Content Agent live
What's built into every agent
Context first
Project knowledge and corporate language come before any best practice.
Results are built on your knowledge, not on industry clichés.
Quality as a mandatory loop
A seven-step review loop with self-check runs before every output.
The result is a draft ready for approval, not raw text.
Boundaries and evidence requirements
Anti-hallucination rules, mandatory sourcing and legal flags are built in.
Anything that isn't backed by evidence gets flagged instead of asserted.
