Product Schema
Detect whether Product markup is present and whether core fields such as name, image, brand, SKU, and offer data are clear enough for search engines.
appsSEO Tools
radarProduct Schema Checker
Free Product Schema Checker for Ecommerce Pages
Validate Product, Offer, price, availability, images, and visible product signals before broken structured data weakens rich results or AI shopping visibility.
check_circleProduct and Offer schema
check_circlePrice and availability consistency
check_circleJSON-LD vs visible page data
check_circleAI-readable product attributes
System Ready
link
No login required · Free scan · Instant online report
Audit Coverage
What This Tool Checks
Offer Signals
Compare price, currency, availability, and product URL signals so crawlers do not see a different product than shoppers see.
Structured Data Consistency
Catch contradictions between rendered HTML, metadata, canonical tags, and JSON-LD blocks that can lower trust in the page.
AI Search Readiness
Review whether the page gives AI answer systems enough product context to parse, compare, and recommend the item.
Schema Entity Map
Product schema examples this checker separates
A strong ecommerce product page does not treat structured data as one generic JSON-LD blob. It separates the product entity, the sellable offer, authentic review signals, and the breadcrumb path so search engines can reconcile the page with Merchant Center, snippets, and shopping surfaces.
Product entity fields
The Product entity should describe the item itself, not the category page, collection page, or marketing campaign around it.
Example signals
Product: name, image[], description, brand, sku, gtin/mpn, categoryWhat to verify
- check_circleProduct name and image match the visible product page.
- check_circleBrand, SKU, GTIN, or MPN are present when the store has them.
- check_circleVariant attributes such as color, size, material, and model are not hidden in vague copy.
Offer and merchant listing data
Offer markup should describe what a shopper can actually buy on this URL, including price, currency, availability, condition, and the canonical product URL.
Example signals
Offer: price, priceCurrency, availability, itemCondition, url, priceValidUntilWhat to verify
- check_circlePrice and priceCurrency match the rendered page and selected market.
- check_circleAvailability is current and not contradicted by sold-out or preorder messaging.
- check_circleOffer URL resolves to the same canonical product page Google can crawl.
Review and AggregateRating signals
Review markup is only useful when it represents genuine reviews that are visible to shoppers and consistent with the review widget or platform data.
Example signals
AggregateRating: ratingValue, reviewCount; Review: author, reviewBody, datePublishedWhat to verify
- check_circleRatings are shown on the page, not only injected into hidden schema.
- check_circlereviewCount and ratingValue match the visible review summary.
- check_circleMultiple review apps are not outputting conflicting aggregateRating values.
BreadcrumbList context
Breadcrumb schema helps crawlers understand where the product sits in the catalog and prevents category context from being inferred incorrectly.
Example signals
BreadcrumbList: Home > Collection > Product with position values and item URLsWhat to verify
- check_circleBreadcrumb names match the visible navigation path.
- check_circleEach breadcrumb item has a crawlable URL and a stable position value.
- check_circleBreadcrumbs do not point to filtered or temporary collection URLs by mistake.
Common Blockers
Issues Worth Fixing First
Missing or thin Product markup
The page has visible product information, but the structured data does not describe the product entity clearly.
Broken Offer details
Price, currency, availability, or URL fields are missing, stale, or inconsistent with the rendered product page.
Duplicate JSON-LD blocks
Themes, apps, and tag managers can inject multiple conflicting Product schemas on the same URL.
Weak product attributes
Important attributes like brand, SKU, material, size, color, variant, or inventory signals are absent or too vague.
Workflow
From URL to Fix Plan
01
Paste a product URL
Use the public product page shoppers and crawlers can access, not a preview, cart, or admin URL.
02
Scan the rendered page
ShopGox checks the final product page output, including schema, metadata, content clarity, and crawler-facing signals.
03
Prioritize fixes
Use the report to decide whether the fix belongs in content, theme templates, schema apps, or platform settings.
FAQ
Questions Before You Scan
Is this only a JSON-LD validator?expand_more
No. Generic validators check whether markup is syntactically valid. ShopGox also compares Product, Offer, Review, AggregateRating, BreadcrumbList, metadata, and visible product content so you can find contradictions that syntax validators miss.
Which schema types matter most on an ecommerce product page?expand_more
For a sellable product page, start with Product and Offer. Then review BreadcrumbList, Review or AggregateRating when reviews are visible, and merchant listing fields such as price, availability, shipping, and return policy when your store can provide them accurately.
What fields are most often missing from product schema?expand_more
The common gaps are brand, SKU, GTIN or MPN, image arrays, priceCurrency, availability, canonical URL, variant attributes, and review counts that match the visible review widget.
Should I add Review schema if my product has no visible reviews?expand_more
No. Review and AggregateRating markup should reflect reviews that shoppers can see on the page. Adding hidden or unsupported ratings can create trust problems and structured data eligibility issues.
Does clean Product schema guarantee rich results?expand_more
No. Clean structured data improves the inputs search engines can evaluate, but rich results still depend on eligibility, crawlability, policy compliance, page quality, and Google's own display decisions.
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