// generate product structured data in seconds
Generate Product JSON-LD structured data with brand, offers, SKU, ratings, and review fields. Boost SEO with valid schema markup.
Ready to generate
Fill in the fields and click GenerateEnter your product name, price, brand, and any other relevant fields. Required fields are marked with *.
Click "Generate Schema" to produce valid Product JSON-LD structured data from your inputs.
Copy the output or download the .json file. Paste it into a <script type="application/ld+json"> tag in your HTML.
Product Schema Builder generates JSON-LD structured data following Schema.org's Product type. Properly implemented product schema can unlock rich results in Google Search — including price, availability, star ratings, and reviews — directly in the SERP.
This tool covers all major Product fields: name, description, brand, SKU, MPN, GTIN, image, offers (price, currency, availability, condition), aggregate rating, and a single review.
Product schema markup is structured data added to a webpage that tells search engines detailed information about a product — such as its name, price, availability, and ratings. Google uses this data to display rich results in search listings, which can significantly increase click-through rates.
Paste the generated code inside a <script type="application/ld+json"> tag within the <head> or <body> of your product page HTML. You can also inject it via Google Tag Manager.
Yes. The generated schema follows the official Schema.org Product specification and is compatible with Google's rich result guidelines. You can verify it using Google's Rich Results Test or the Schema Markup Validator.
Only Product Name and Price are required to generate a valid schema. All other fields are optional but recommended — the more complete your schema, the better your chances of appearing in rich results.
SKU (Stock Keeping Unit) is your internal product identifier. MPN (Manufacturer Part Number) is assigned by the manufacturer. GTIN (Global Trade Item Number) is a standard barcode identifier (UPC, EAN, ISBN, etc.). Google recommends including at least one of these to help identify your product uniquely.
Structured data doesn't directly boost rankings, but it can enable rich results (star ratings, price info) in the SERPs. Rich results typically improve click-through rates, which can indirectly benefit your overall SEO performance.
This tool currently generates a single offer and an optional single review, which covers the most common use case. For multiple offers or reviews, you can manually edit the generated JSON-LD — the output is clean and easy to extend.
The tool supports USD, EUR, GBP, AUD, CAD, JPY, VND, INR, CNY, and BRL. The currency field accepts any valid ISO 4217 currency code — you can manually edit the output to use any other currency.
Product schema markup is a form of structured data that communicates rich product information directly to search engines like Google, Bing, and others. Using the Schema.org Product vocabulary, webmasters can annotate their product pages with machine-readable data about price, availability, brand, ratings, and more. This data doesn't change what your page looks like to human visitors — it works behind the scenes to help search engines understand your content.
When implemented correctly, product schema can unlock rich results in Google Search — those visually enhanced listings that show star ratings, price ranges, and availability status directly in the search results page. Studies consistently show that rich results achieve significantly higher click-through rates than standard blue links, making product schema one of the highest-ROI technical SEO investments for e-commerce sites.
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A well-constructed Product JSON-LD can include dozens of properties. The most important ones are:
Brand object.JSON-LD (JavaScript Object Notation for Linked Data) is Google's preferred format for structured data. Unlike Microdata or RDFa, JSON-LD is embedded as a separate <script> block rather than woven into your HTML. This makes it easy to add, edit, and maintain without touching your page's visual markup.
To implement the output from this tool, simply copy the generated code and paste it into a script tag like this:
<script type="application/ld+json">
{
"@context": "https://schema.org/",
"@type": "Product",
...
}
</script>This tag can go anywhere in your <head> or <body>. Many developers place it just before the closing </head> tag. For CMS users, Google Tag Manager is a convenient alternative — just paste the raw JSON-LD into a Custom HTML tag.
The Offer object is the heart of product schema for e-commerce. Google requires a valid Offer to display price-related rich results. Key fields include:
InStock, OutOfStock, PreOrder, etc.NewCondition, UsedCondition, or RefurbishedCondition.One of the most valuable aspects of product schema is the ability to display star ratings in search results. To enable this, you need an aggregateRating object containing:
In addition to the aggregate, you can include one or more Review objects. Each review should have an author name, a review rating, and ideally a date and review body. Google may use individual reviews to validate your aggregate rating and display them in knowledge panels.
After implementing product schema, always test it before assuming it's correct. Google provides two main validation tools:
Common issues to watch for include missing required properties, incorrect data types (e.g., price as a string instead of a number), and image URLs that return a 404 error. Always use absolute URLs for image and product URLs.
To maximize the impact of your product structured data, follow these proven best practices. First, keep your schema data in sync with what's visible on the page — Google penalizes sites that use structured data to show information that isn't reflected in the actual page content. Second, update your priceValidUntil and availability fields regularly, especially during sales or when products go out of stock. Third, use unique, specific product names and descriptions rather than generic text. Finally, include as many optional fields as you can reasonably fill in — more complete data gives Google more material to work with when generating rich results.
For large e-commerce sites with thousands of products, consider generating schema programmatically from your product database rather than using a manual tool. The structure you can explore with this builder makes for an excellent template for your automated implementation.