Retail AEO: Product Schema, Return Policy Markup, and Google Merchant Center for AI Shopping
Retail AEO targets the AI-mediated portion of the shopping journey - purchase research queries, product comparison answers, and agentic shopping task completion - with specifically structured product data that AI systems can extract, compare, and recommend without requiring human interpretation of product pages. Complete Product schema with shippingDetails, MerchantReturnPolicy markup, and an optimized Google Merchant Center feed are the three-way structured data stack that powers retail AI visibility.
For e-commerce specifics, see E-Commerce AEO and Agentic Shopping Optimization.
Retail AEO - 3 Core Components
Product schema for AI shopping
Product schema is the foundational AEO requirement for retail - making individual product pages machine-readable for AI shopping recommendation queries. Complete Product schema for AI shopping readiness: name, description, brand (Brand entity), image (multiple ImageObject with dimensions for different use contexts), SKU/MPN (unique product identifiers for cross-platform matching), offers (Offer with price, currency, availability, shippingDetails, and MerchantReturnPolicy), and aggregateRating (from customer reviews). The shippingDetails property is increasingly important as AI agents completing shopping tasks need to evaluate fulfillment speed - include shippingDestination, deliveryTime (ShippingDeliveryTime with minValue, maxValue, transitTime in business days), and handlingTime.
{
"@type": "Product",
"name": "Sierra Running Shoe - Men's",
"brand": { "@type": "Brand", "name": "TrailPeak" },
"image": "https://example.com/sierra-shoe-main.jpg",
"sku": "TP-SRS-M-10",
"offers": {
"@type": "Offer",
"price": "129.99",
"priceCurrency": "USD",
"availability": "https://schema.org/InStock",
"shippingDetails": {
"@type": "OfferShippingDetails",
"shippingDestination": {
"@type": "DefinedRegion",
"addressCountry": "US"
},
"deliveryTime": {
"@type": "ShippingDeliveryTime",
"handlingTime": {
"@type": "QuantitativeValue",
"minValue": 1, "maxValue": 2, "unitCode": "DAY"
},
"transitTime": {
"@type": "QuantitativeValue",
"minValue": 2, "maxValue": 5, "unitCode": "DAY"
}
}
}
},
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.6",
"reviewCount": "847"
}
}