Give AI nothing left to guess.
AI assistants describe your products from whatever data they can read. Most listings leave out the details that decide the sale. Swellpipe adds them, automatically.
What is AI product catalog enrichment?
It's the process of using AI to add detailed, structured attributes to every product, like skin type, fit, compatibility, use case, and dietary tags, so AI assistants understand the product fully.
Richer data reduces guessing: 98% of shoppers verify AI recommendations before buying (Idea Grove survey of 1,000 U.S. consumers, 2026), so the products with complete, accurate data win that check.
Why thin listings lose
Most listings were written for a human skimming a page: a title, a few bullets, a photo. AI needs far more to recommend you, and when detail is missing it guesses or moves on.
Completeness matters at the platform level too. About 83% of ChatGPT's shopping carousel data is pulled from Google Shopping feeds, and those feeds reward high attribute completion.
How Swellpipe enriches your catalog
- AI reads your existing copy and your product images to understand what each item is and who it's for.
- It adds conversational attributes, the phrases shoppers use: "good for sensitive skin," "quiet enough for a nursery," "true to size."
- It adds intent-driven attributes: use cases, occasions, compatibility, who it suits best.
- You add custom attributes specific to your category.
- The data points on every product multiply, so AI has the full picture and stops filling gaps on its own.
FAQ
How do I add product attributes for AI without rewriting every listing?
What product attributes do AI assistants actually use?
Will AI-generated attributes be accurate for my products?
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