Use this section to decide whether search systems can reach, interpret, and distinguish the toy store's important catalog pages without being pulled through unnecessary URL variations.
Product and offer structured data
Evidence required: Inspect representative product-page source or rendered HTML, the visible product details, and structured-data test results. Pass/fail condition: Pass when the markup describes the same product, price, availability, and other supported fields shown to shoppers.
Fail when the markup is missing where the team intentionally uses it, contains stale values, or describes information that is not visible or supported. Severity: High when inaccurate data affects many product pages; otherwise scope severity to the affected template or product set.
Owner: Ecommerce engineering with catalog-data support. Corrective action: Align the markup with the live product record and visible page content. Remove unsupported fields rather than inventing values.
Validation step: Re-test representative URLs and compare the rendered result with the product record. Structured data can support eligibility for search features, but it does not guarantee a rich result.
Core Web Vitals and mobile interaction
Evidence required: Review field data where available, page templates, mobile interaction traces, and high-resolution image behavior on representative category, product, cart, and checkout pages.
Pass/fail condition: Pass when no material mobile interaction or loading issue is documented across the reviewed templates. Fail when measured problems are repeatable and tied to a template, script, image, or interface element.
Severity: High for issues that block or materially degrade shopping tasks; Medium for isolated template defects. Owner: Front-end engineering or site performance owner. Corrective action: Fix the documented bottleneck, such as oversized media, blocking scripts, or interaction delays, instead of changing unrelated page elements. Validation step: Re-run the same tests after deployment and compare like-for-like field or lab evidence.
Faceted navigation and crawl control
Evidence required: Crawl filter combinations by age, brand, material, price, and other active facets; inspect canonicals, robots directives, internal links, and indexed URL patterns.
Pass/fail condition: Pass when useful filtered destinations have an intentional indexation role and low-value combinations do not multiply without control. Fail when parameters generate large sets of duplicate or near-duplicate URLs with conflicting signals.
Severity: High when the pattern spans major catalog sections. Owner: Technical SEO and ecommerce engineering. Corrective action: Define which filter states should be indexable, then align canonical signals, internal links, crawl handling, and indexation directives with that policy.
Validation step: Re-crawl representative paths and monitor whether unwanted variants decline without making important categories harder to discover.
Internal-link and category cannibalization review
Evidence required: Compare category titles, intent, internal anchors, product assignments, and search performance for overlapping destinations such as different block or construction-toy collections.
Pass/fail condition: Pass when each category has a distinct shopper purpose and the internal-link structure makes that distinction clear. Fail when multiple pages compete for substantially the same intent without a merchandising reason.
Severity: Medium to High depending on the affected category value. Owner: SEO, merchandising, and site taxonomy owners. Corrective action: Merge, retarget, rename, or re-link overlapping categories based on the actual assortment and shopper need. Validation step: Recheck navigation, internal links, canonicals, and query-to-page alignment after the change.