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Product Agent is currently in beta, and we’re seeking partners to help shape its future.
The Activate process generates AI-optimized product data, including titles, descriptions, attributes, FAQs, and image metadata. This process ensures your product detail pages (PDPs) are structured so that AI-powered shopping assistants and recommendation engines discover them. The Activate workflow is structured, iterative, and guided. 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 enrich at scale.

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Experiments

Activate lets you create Experiments to test how a subset of products performs after enrichment and validate results before applying changes across your full catalog.

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Activation Workflow

The process of activating your products follows these steps:
  1. Product Activation: Import products or select existing products to define the catalog you want to work with. You can also choose a subset of products to run an experiment.
  2. Enriching Products: Choose the products or categories from your catalog to enrich.
  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.