radarMagento SEO Checker

Magento SEO Checker for Product Pages, Search, Schema, and Store Views

Audit Magento and Adobe Commerce product URLs for internal search visibility, configurable-product offers, canonical duplication, store-view metadata, Product schema, and AI shopping readiness.

System Ready

Magento Product Page URL

link

Full scanLite and Pro deep analysis

Report language

English

No login required · Free scan · Instant online report

We are currently conducting a deep semantic audit for Search and AI visibility...

Most Magento reports are ready within 30 seconds. Enterprise catalogs can take up to 2 minutes.

Paste URL

Drop the link to any product page from your e-commerce store.

Scan

Our engine simulates LLM crawler behavior to parse your page data.

Get Report

Receive a detailed breakdown and optimization checklist instantly.

How the Magento SEO Checker Works

Paste URL

Drop the link to any product page from your e-commerce store.

Scan

Our engine simulates LLM crawler behavior to parse your page data.

Get Report

Receive a detailed breakdown and optimization checklist instantly.

What the Magento SEO Audit Checks

Store-View Schema Validation

Validate structured product data across store views, custom templates, configurable products, and bundled products.

Attribute Set Coverage Audit

Check whether catalog attributes, identifiers, stock, price, and variants are complete across complex product types.

Technical Catalog Copy Review

Measure whether detailed product content is clear enough for search, shoppers, and AI retrieval systems.

Parent-Child Product Consistency Check

Compare parent and child product signals for pricing, availability, identifiers, canonicals, and localized metadata.

Magento-Specific Checks

Magento SEO issues that usually hide inside catalog architecture

Magento and Adobe Commerce stores often expose different product facts by store view, configurable-product state, layered navigation URL, and template override. The scan focuses on the final crawlable product page and the signals search engines and AI shopping systems can reuse.

Store views, hreflang, and canonical drift

Store views can change language, currency, URLs, metadata, and schema while still sharing the same catalog record.

check_circlePreferred product URLs, canonical tags, hreflang, and localized metadata point to the same market page.
check_circleDefault-store schema does not leak into localized store views or translated product pages.
check_circleNoindex, robots directives, and sitemap inclusion match the page’s ranking goal.

Configurable products and Offer data

Configurable products need parent and child product facts to stay aligned when crawlers read price, stock, SKU, image, and attributes.

check_circleSelected or default child product price, availability, SKU, and image match visible product data.
check_circleParent and variant identifiers do not create duplicate or contradictory Product entities.
check_circleOut-of-stock variants do not overwrite offers for variants that are still purchasable.

Magento search, layered navigation, and duplicate URLs

Internal search, faceted navigation, filters, and category-linked product URLs can create crawlable duplicates around the same product.

check_circleLayered navigation, search-result URLs, and category product paths do not compete with the canonical product URL.
check_circleRobots and canonical rules handle parameterized URLs without blocking the preferred product page.
check_circleProduct discovery pages link to crawlable product URLs with stable titles and snippets.

Product schema and AI shopping facts

Magento templates, extensions, and custom modules can each output structured data. The final entity needs one coherent product story.

check_circleProduct, Offer, BreadcrumbList, Review, and AggregateRating markup match visible content.
check_circleBrand, SKU, GTIN, category, shipping, return policy, and attribute facts are available as text or structured data.
check_circleExtension-generated JSON-LD does not contradict theme, catalog, or review data.

Sample audits

Choose a public report

Review a public ShopGox example report for a Magento product page covering AI crawler access, configurable product signals, localized schema, and priority fixes.

MagentoScore 58

Magento AI Crawler Audit Example Report

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Magento SEO and AI Search FAQ

Can ShopGox handle Magento store views?

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Yes. It is designed to catch metadata, schema, and canonical drift across localized store views and complex catalog setups.

Does it inspect configurable and bundled products?

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Yes. It checks whether parent and child product data stays consistent for price, stock, identifiers, and machine-readable offers.

How can enterprise teams use the findings?

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The report helps turn visibility risks into backlog items, separating high-impact template issues from lower-priority catalog cleanup.

Should Magento teams scan multiple store views?

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Yes. Store views can carry different metadata, canonicals, schema, price display rules, and localized descriptions. Scanning only one view can miss important drift.

How does this help configurable product cleanup?

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It highlights whether parent and child products send consistent offer, identifier, availability, and canonical signals in the final rendered page.

Can this fit into an enterprise backlog?

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Yes. The findings can be grouped into catalog data, template, structured data, localization, and performance work so teams can schedule fixes by dependency and impact.