Paste any product or collection page URL and instantly validate its JSON-LD structured data against Schema.org standards. All for free, no signup required.
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Learn how to validate schema for any webpage without any complex steps.
Copy and paste any product, collection, or homepage URL from your online store into the URL field.
Click 'Check The URL' to extract all JSON-LD structured data from the page and run it through Schema.org validation rules.
Receive a 0–100 schema score with a letter grade, a full issue list sorted by severity, and a readiness breakdown across Google Shopping, rich snippets, and AI search.
Understanding the tool that powers smarter structured data audits
A schema validator checks whether the structured data on a webpage follows Schema.org vocabulary and formatting rules. It reviews schema types commonly used by ecommerce stores, such as Product, Offer, AggregateRating, and BreadcrumbList, and identifies missing, incorrectly formatted, or unsupported properties.
AdNabu’s Schema Validator tool also compares supported markup with Google’s requirements for rich-result eligibility and Shopping readiness. This helps you understand whether your structured data is correctly implemented and where additional fields or corrections may be needed.
How it works: The tool fetches the page at your URL, extracts its JSON-LD markup, and checks each property against Schema.org types and expected value formats. It then applies Google’s required and recommended properties for supported rich-result and merchant-listing features.
While manually checking schema with browser DevTools takes 10–15 minutes per page, this tool surfaces every issue, scores your schema, and gives you a fix for each error in seconds.
"A schema validator checks whether the structured data on a webpage follows Schema.org vocabulary and formatting rules. It reviews schema types commonly used by ecommerce stores, such as Product, Offer, AggregateRating, and BreadcrumbList, and identifies missing, incorrectly formatted, or unsupported properties."
The data behind why schema errors cost you clicks, rankings, and revenue
On Google Search, Shopping, and AI-powered results, structured data tells Google exactly what your products are, what they cost, and whether they're in stock. Pages with valid Product schema are eligible to show price, availability, and star ratings directly in organic results. Incorrect or inconsistent structured data may prevent rich results and can create verification issues when Google compares your page with Merchant Center data.
Our structured data checker evaluates every dimension of your schema against Schema.org rules and Google's channel-specific requirements — not just whether the JSON parses correctly.
Most schema markup validators only check whether your JSON is valid. This tool validates every field against Schema.org's defined types, required properties, and formatting rules — catching semantic errors that a JSON linter would miss entirely.
Find out whether your schema qualifies Google to display star ratings, price, and availability in organic search results. The tool evaluates your schema against Google's rich result requirements and flags every gap preventing eligibility.
Google Merchant Center pulls structured data signals to validate and enrich Shopping listings. This tool checks whether your schema covers the fields Google Shopping needs and highlights what's missing before those gaps affect your ads.
AI-powered search engines and shopping assistants rely on structured data to understand, surface, and recommend products. The validator evaluates whether your schema is detailed enough for AI engines — checking for depth of product attributes, identifiers, and offer data.
Every schema issue is grouped by severity so you know what to fix first. Critical errors affect schema validity and rich snippet eligibility, while warnings highlight missing recommended properties. Each issue includes a clear explanation and fix recommendation.
A 0–100 score and letter grade give you an instant benchmark. Track improvements as you fix issues, and use the score to prioritize schema work across your catalog before it affects ad performance or rankings.
Whether you manage one store or fifty, this tool fits your workflow
"I have no idea if my product pages have correct schema or not."
Paste any page's URL and get an instant schema health check — no technical knowledge required.
"I run a B2B store and want to make sure my product pages are set up correctly for search."
Validate your product and category pages in one click to confirm they carry correct Product, Offer, and BreadcrumbList schema, so search engines read your B2B catalog accurately.
"I want my products to appear in AI-powered shopping recommendations."
The AI readiness check evaluates your structured data against what AI engines need to understand and surface your products — and gives you specific fields to add.
"I'm not on Shopify — does this work for my store?"
The validator works on any publicly accessible URL regardless of platform. Paste any product page from your BigCommerce or WooCommerce store and get the same full schema report instantly.
"My Shopping listings keep getting disapproved or my products aren't surfacing."
The validator checks every field Google Shopping requires from structured data and tells you exactly what's missing or malformed before it affects your campaigns.
"I manage multiple client stores and need to audit schema across all of them."
Schema errors across client stores mean lost rankings, missed rich snippets, and Shopping disapprovals you're accountable for. Run instant validations across any client URL, get scored reports with severity-ranked issue lists, and walk into every client call with a clear picture of what's broken and what to fix.
6 rules the best-performing product pages follow
Google’s required properties depend on the result type. For merchant listings, start with the required Product and Offer properties. For product snippets, include the product name and at least one of offers, reviews, or aggregate ratings.
Google recommends JSON-LD as the preferred structured data format. It lives in a script tag separate from your HTML content, so theme or layout changes are far less likely to break it. If you're using Microdata, migrate to JSON-LD when you next update your theme.
Google cross-references your structured data against the visible content on the page. If your schema shows a price that doesn't match the displayed price, Google may suppress the rich result or flag inconsistencies when comparing the page with Merchant Center data.
Star ratings in organic results can improve CTR by a significant margin, but they require aggregateRating markup to be present and correctly formatted. If your store collects product reviews, make sure the schema reflects them — including ratingValue and reviewCount.
Including GTIN, MPN, or Brand alongside your Product schema helps Google match your listing to its knowledge graph entries. This improves Shopping ad accuracy, reduces disapprovals for mismatched data, and strengthens eligibility for product knowledge panels in search.
Theme updates, app installs, and bulk product edits can all alter or break the JSON-LD on your pages without warning. Re-validate after any of these changes so a fix in one place does not quietly invalidate schema somewhere else. For active catalogs, a monthly check on top revenue pages is a sensible baseline.
Why a dedicated e-commerce validator outperforms generic AI
ChatGPT may review schema through browsing or pasted markup, but the process depends on the prompt and requires manual interpretation. AdNabu's schema markup checker tool automatically extracts the page’s markup and returns a standardized report.
AdNabu's schema validator checks JSON-LD structured data against Schema.org standards.
100% free with no signup — get a 0–100 schema score, issue list, and fix recommendations for any page URL instantly.
Covers Google Shopping readiness, rich snippet eligibility, and AI search readiness in a single report.
For bulk optimization across your entire catalog, the AdNabu Shopify app handles thousands of products.
Every Schema.org type common on ecommerce sites: Product, Offer, AggregateRating, Review, BreadcrumbList, Organization, WebSite, FAQPage, and JobPosting. Pages with multiple schema blocks get evaluated per type, not as one object.
Google's Rich Results Test only checks features Google currently supports. The official validator.schema.org checks syntax but does not score channel readiness. This tool does both, plus adds Google Shopping and AI search readiness layers neither official tool covers.
Yes. The validator fetches rendered HTML, so schema injected by apps, theme scripts, or tag managers is captured the same way Google sees it.
After any theme update, app install, or bulk product edit. For active catalogs, a monthly check on top revenue pages is a reasonable baseline.
Four signals combined: Schema.org compliance, rich snippet eligibility, Google Shopping readiness, and AI search readiness. Above 85 means the page is ready for every major surface. Below 60 usually means a required field is missing or malformed.
Critical issues block rich snippet eligibility or make schema invalid, such as a missing price or malformed AggregateRating. Warnings flag recommended fields like brand or GTIN that Google expects but does not strictly require. Info issues are optimization opportunities like adding shippingDetails or hasMerchantReturnPolicy that improve AI search and Shopping accuracy without affecting validity.
Yes. FAQPage is checked for proper Question and Answer nesting and accepted answer formatting. BreadcrumbList is checked for position ordering, item URLs, and name fields.
Yes. Paste any competitor's product or collection page and see which schema types they use and where their structured data is stronger or weaker than yours.
Not always. Google needs to recrawl the page first, which can take days to weeks. Request reindexing through Google Search Console to speed it up for high priority pages.
No. URLs are processed in real time and not retained. No account required.
The report returns a 0/100 score with an F grade and flags it as a Critical issue. All three readiness dimensions fail: Google Shopping shows Not Ready, Rich Snippets show Not Eligible, and AI Readiness shows Low.
You can use an AI visibility platform like MentionBird to track AI mentions and citations across ChatGPT, Perplexity, Claude, DeepSeek, etc. Such platforms are great at daily prompt tracking and also providing tailored ranking advice for prompts so that you actually get recommended in AI answers.
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