Schema Markup Validator
Checks Schema.org syntax
Validates that your JSON-LD is well-formed and uses valid Schema.org vocabulary. It does not tell you whether Google will show a rich result.
Use it: while writing markupTest any BigCommerce page for schema markup, structured data validation, rich result eligibility, and JSON-LD errors. Built for the default Stencil theme schema and the custom JSON-LD you add in your theme files or Script Manager.
This is an illustrative preview of how an audit reads. Connect your store to JSON Schema App to validate the live page and auto-fix every error found.
Fix these in JSON Schema AppThe audit reads each block of JSON-LD on your BigCommerce page, including the default schema your Stencil theme outputs, maps it to its Schema.org type, and flags the required and recommended properties Google looks for.
Price, availability, SKU, and AggregateOffer for variants, the core of BigCommerce product rich results and merchant listings.
Not in the default theme schema, so add them in your theme files to expand your listing and feed AI overviews with structured answers.
Headline, author, and publish date that qualify your BigCommerce blog posts for Top Stories and article enhancements.
The navigation trail Google shows in place of a raw URL, mapping Home to category to product for searchers.
Site-wide logo, social profiles, and contact data you add in your theme head or Script Manager to build the knowledge panel.
Star ratings and aggregate scores from your store reviews that make listings stand out and lift click-through.
Three steps, no learning curve. Run the check, read the report, then fix what matters most for rich-result eligibility.
Drop in any product, category, or blog page. The tool fetches the live page and reads its structured data the way a search crawler does, including the default schema your Stencil theme outputs.
See each detected type with a clear status: valid, missing a recommended property, or carrying an error. Every flag links to the exact Schema.org rule behind it, so nothing is a mystery.
Edit the JSON-LD in your theme files such as product-view.html with Stencil variables, add it through Script Manager, or let JSON Schema App generate compliant JSON-LD across your store. Re-run the audit to confirm a clean pass.
Most rich-result problems come down to a handful of recurring issues. Here is what each one means, how serious it is, and the fix.
A field Google requires is absent, so the whole block is ineligible. For a default Product block this is often a missing image, sku, or priceCurrency. Add the field and re-check.
The property exists but the data is malformed: an empty string, a wrong data type, or a date that is not in ISO 8601. Use values that match the Schema.org spec exactly.
The Product schema your Stencil theme outputs sits alongside a second block from an app or Script Manager. A duplicate Product schema can invalidate rich result eligibility, so modify the existing block instead of adding another.
The markup uses a type Google does not surface as a rich result, or the wrong type for the page (Product markup on a category page). Match the type to the content.
The markup shows a single price while the product has variants at different prices, so the schema does not match the page. Use AggregateOffer with lowPrice and highPrice for variants.
Script Manager can strip script tags or escape quotes, breaking the block so nothing is read. Editing the theme file directly is more reliable for JSON-LD. Check the structure and nesting.
Valid markup makes a page eligible for rich results. It does not force them to appear. When they don't, it is usually one of these.
Google can only show a rich result for a page in its index. Confirm the URL is indexed in Search Console before assuming the markup is the problem.
Google no longer shows review stars for reviews a business writes about itself. Ratings need to come from genuine, independent reviews rather than values hard-coded in your markup.
If the schema shows a price or availability a visitor cannot see, often because a variant offer was not handled, Google withholds the rich result. Keep markup and visible content in sync.
Not every Schema.org type produces a rich result, and Google occasionally retires features. Check that the type still maps to a supported result before troubleshooting further.
After a fix, Google has to re-crawl and re-process the page. Rich results can take days to reappear, so re-check, then give it time rather than changing things again.
Structured data is not a direct ranking factor. What it does is make your content machine-readable, so search engines and AI assistants can understand a BigCommerce page well enough to enhance how it appears. That often means a richer listing, a higher click-through rate, and a better shot at being cited in AI answers.
Backlinko's analysis of millions of results found that pages with structured data tend to earn more visibility from rich features. Most Stencil themes output basic Product schema automatically, but it is often incomplete, missing AggregateOffer for variants, review, and FAQ. A duplicate Product block is the top cause of ineligibility. This audit exists to surface those gaps before they cost you.
{
"@context": "https://schema.org",
"@type": "Product",
"name": "Trail Runner GTX",
"image": "/img/runner.jpg",
"sku": "TR-GTX-42",
"offers": {
"@type": "AggregateOffer",
"lowPrice": "98.00",
"highPrice": "128.00",
"priceCurrency": "USD",
"availability": "InStock"
}
}
They are not interchangeable. Each catches a different class of problem, which is why markup can pass one and fail another. Here is what each does.
Checks Schema.org syntax
Validates that your JSON-LD is well-formed and uses valid Schema.org vocabulary. It does not tell you whether Google will show a rich result.
Use it: while writing markupChecks Google eligibility
Tests your markup against Google's feature requirements and previews how the result may look. This is why clean Schema.org can still throw errors here.
Use it: before you publishChecks live issues at scale
Reports structured data issues across your whole store from real crawls, and flags problems after pages go live. Best for monitoring, not first-pass validation.
Use it: after launch, store-wideRun a free check on any BigCommerce URL, then let JSON Schema App generate and maintain valid JSON-LD across your entire store automatically.
Find and fix the schema gaps keeping you out of Google's rich results and AI answers from ChatGPT and Gemini.
- Sundar Pichai
JSON Schema App automatically detects, fixes, and manages structured data to help search engines and AI understand your website, improving visibility and rich results.
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