Free structured data audit

BigCommerce Schema Markup Checker

Test 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.

  • Results in 30 seconds
  • No login required
  • Schema.org validation
  • Rich-result eligibility
35% of Google results show a rich snippet driven by structured data
30+ Schema.org types checked, from Product and FAQ to Article and Event
JSON-LD the format you add with Stencil Handlebars variables, read as crawlers see it
100% Free no sign-up or credit card required to run a schema check
What gets checked

Every schema type that earns rich results

The 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.

  • Product

    Price, availability, SKU, and AggregateOffer for variants, the core of BigCommerce product rich results and merchant listings.

  • FAQ & HowTo

    Not in the default theme schema, so add them in your theme files to expand your listing and feed AI overviews with structured answers.

  • Article & Blog

    Headline, author, and publish date that qualify your BigCommerce blog posts for Top Stories and article enhancements.

  • Breadcrumb

    The navigation trail Google shows in place of a raw URL, mapping Home to category to product for searchers.

  • Organization

    Site-wide logo, social profiles, and contact data you add in your theme head or Script Manager to build the knowledge panel.

  • Review & Rating

    Star ratings and aggregate scores from your store reviews that make listings stand out and lift click-through.

Step by step

How the BigCommerce schema audit works

Three steps, no learning curve. Run the check, read the report, then fix what matters most for rich-result eligibility.

  1. Paste your BigCommerce URL

    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.

  2. Read the results

    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.

  3. Fix and re-check

    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.

Decode the report

Common schema errors and what they actually mean

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.

  • Missing required property

    Error

    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.

  • Invalid value or wrong format

    Error

    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.

  • Duplicate or conflicting markup

    Warning

    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.

  • Unsupported or wrong type

    Warning

    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.

  • Variant price mismatch

    Error

    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.

  • Syntax or nesting error

    Error

    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.

Troubleshooting

Schema is valid, but rich results still aren't showing?

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.

  • The page isn't indexed yet

    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.

  • Your star ratings are self-serving

    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.

  • The markup doesn't match the page

    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.

  • The type isn't supported for that feature

    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.

  • It simply needs time

    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.

The honest take

Schema won't rank you on its own, but it changes how you show up

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.

  • Eligibility, not guarantees: we flag what blocks rich results, honestly
  • Validated against current Schema.org and Google documentation
  • Clear severity, so you fix errors first and recommendations next
product.jsonld
{
  "@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"
  }
}
Clear the confusion

Rich Results Test vs Schema Validator vs Search Console

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.

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 markup

Rich Results Test

Checks 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 publish

Search Console

Checks 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-wide

Stop guessing, audit your BigCommerce schema now

Run a free check on any BigCommerce URL, then let JSON Schema App generate and maintain valid JSON-LD across your entire store automatically.

Frequently Asked Questions

Google logo

“The agent doesn’t return ten blue links… it pulls from structured business data… to complete the job.”

- 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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