Product schema for AI citations — a practical guide

After testing product schema across 15 e-commerce clients, here's what actually drives AI citations: **The most important Product schema fields:** ```json { "@type": "Product", "name": "Product Name", "description": "Detailed product description (150+ words)", "brand": { "@type": "Brand", "name": "Brand Name" }, "offers": { "@type": "Offer", "price": "29.99", "priceCurrency": "GBP", "availability": "https://schema.org/InStock" }, "aggregateRating": { "@type": "AggregateRating", "ratingValue": "4.7", "reviewCount": "124" } } ``` **What makes the difference:** 1. **Description length** — Short descriptions (under 50 words) are rarely cited. 150+ word descriptions with specific features and benefits are cited much more frequently. 2. **AggregateRating** — Products with review data are cited 3x more often than products without. 3. **Brand entity** — The Brand schema should reference the same brand entity as your Organization schema and AI Verified passport. **What doesn't help:** - Keyword-stuffed descriptions - Generic "high quality product" language - Missing price or availability data