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Product Agent is currently in beta, and we’re seeking partners to help shape its future.
The Activation process helps you generate AI-optimized product content across your entire catalog, including titles, descriptions, attributes, FAQs, and image metadata, without manual writing or formatting. The enrichment process ensures your product detail pages (PDPs) are structured so that AI-powered shopping assistants and recommendation engines discover them. The enrichment workflow is structured, iterative, and guided. It begins with reviewing the products fabric has activated for your catalog and moves through sampling, review, and full enrichment. You can preview AI-generated content before it’s applied, provide feedback to fine-tune results, and export your enriched catalog for downstream systems. Whether you’re preparing for a full-scale syndication strategy or looking to optimize high-priority categories, Product Agent gives you the tools to confidently enrich at scale.

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Activation workflow

The documentation set covers the following stages:
  1. Product Activation: Review the catalog and categories fabric has pre-loaded for enrichment. You can also upload additional products if needed.
  2. Enriching Products: Select which categories you want to enrich, whether specific groups or your full catalog.
  3. Sampled Enrichment: Review AI-generated sample content for a subset of products. Compare optimized and original data, make edits, and train the system with your feedback.
  4. Enrich All & Review: Apply enrichment across your selected products and evaluate the changes using a summary table showing scores, improvements, and AI-generated content.
  5. Publishing Products: Export your enriched catalog as a CSV, ready to ingest into your ecommerce platform or syndication pipeline.
Throughout the process, Product Agent learns from your preferences and continuously improves its output to reflect your brand voice, product structure, and content standards.