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Product Schema Generator

Create Product JSON-LD structured data with pricing, reviews, and availability

Driving E-commerce Sales with Product Schema Markup

Product schema markup is essential for any e-commerce or product page that wants to compete in Google Search. Our product schema generator creates valid JSON-LD markup with pricing, availability, brand, and review data — enabling rich results that display product details directly in search listings.

Product Rich Results in Google

Product rich results can display price, availability status, star ratings, and review counts right in search listings. These enhanced snippets stand out from plain text results and give shoppers key purchase information before clicking. Studies show that product rich results can increase click-through rates by 30% or more compared to standard listings, making them critical for e-commerce visibility.

Pricing and Offer Markup

The Offer entity within Product schema defines pricing details. Include the exact price in numeric format, the three-letter ISO currency code, and the current availability status. Google requires that the price in your schema exactly matches what users see on the page — any discrepancy can trigger a manual action. For products with multiple variants at different prices, use AggregateOffer with lowPrice and highPrice.

Reviews and Ratings

Star ratings are one of the most visually impactful elements of product structured data. AggregateRating summarizes all reviews with an average ratingValue (1-5) and reviewCount. This data must represent genuine customer reviews that are visible on the page. Never fabricate or inflate ratings — Google actively monitors for fake review markup and penalizes violations.

Brand and Identification

Including brand, SKU, GTIN, or MPN helps Google uniquely identify your product and connect it with other data sources. The brand property associates the product with its manufacturer, while unique identifiers like SKU and GTIN enable features like price comparison and Google Shopping integration. These identifiers are especially important for products sold by multiple retailers.

Common Product Schema Mistakes

The most common errors include mismatched prices between schema and page, using incorrect currency codes, setting wrong availability status, including fake or inflated reviews, and marking non-product pages with Product schema. Google Merchant Center also validates product markup — errors there can affect both organic and Shopping results. Always test with the Rich Results Test before deploying.

$ faq

What is Product schema markup? ▸
Product schema markup is structured data that describes a product with properties like name, price, availability, brand, and reviews. Using JSON-LD format, it enables rich results in Google Search showing price, stock status, and star ratings directly in search listings — increasing visibility and click-through rates for e-commerce and product pages.
What fields are required for Product rich results? ▸
Google requires the product name at minimum. For full rich results with pricing, you need an Offer with price, priceCurrency, and availability. For review stars, you need either a single Review or AggregateRating with ratingValue and reviewCount. Images are strongly recommended as they appear in the rich result card.
How does availability affect Product rich results? ▸
Google displays availability status in product rich results using Schema.org ItemAvailability values. InStock, OutOfStock, PreOrder, and BackOrder are the most common. Accurate availability is important — showing InStock when the product is unavailable violates Google guidelines and can lead to manual actions.
Can I include multiple offers for one product? ▸
Yes, you can use AggregateOffer to represent a price range when a product has multiple variants or sellers. Include lowPrice, highPrice, priceCurrency, and offerCount. For a single price point, use a standard Offer. Google may display the price range in rich results for aggregate offers.
Should I add review data to Product schema? ▸
Adding review data enables star ratings in search results, which significantly improves click-through rates. Use AggregateRating for summary scores (average rating + review count) or individual Review objects for specific reviews. All review data must represent genuine customer reviews visible on the page.
Does Product schema work for digital products? ▸
Yes, Product schema works for both physical and digital products including software, ebooks, courses, subscriptions, and downloads. The same core properties apply — name, description, price, availability. For software, you can also use the SoftwareApplication type for more specific markup.