Use these checkpoints to determine whether the furniture catalog can be discovered, rendered, indexed, and loaded in the intended form. Home furnishing sites commonly combine large visual assets, variants, filters, collection templates, and retired inventory.
The audit therefore needs evidence that separates customer-facing browsing features from URL behavior that search systems encounter.
Image delivery and format. Evidence required: representative category, product, inspiration, and editorial URLs; transferred image weight; rendered dimensions; requested dimensions; file format; loading priority; and Core Web Vitals diagnostics where available.
Pass condition: the sampled templates serve imagery close to its rendered need, preserve enough detail for furniture evaluation, reserve stable layout space, and avoid a recurring image-driven performance problem.
Fail condition: oversized originals, unnecessary early requests, repeated layout movement, or inefficient derivatives materially recur across priority templates. Severity: High when the pattern affects major landing or product templates.
Owner: front-end or performance engineering with creative input where image quality is at risk. Corrective action: generate responsive derivatives from the approved source asset, choose an appropriate modern format, reserve dimensions, and prioritize only the media needed early in the viewport.
Validation: retest the same template sample after release, compare delivered and rendered sizes, and review both lab diagnostics and available field evidence. A historical editorial example cited a 30-50% file-size reduction for AVIF versus JPEG.
Keep that statement as an unreconciled example, not an expected saving; the result depends on the source image, encoder, quality settings, and visual requirements.
Faceted navigation and canonical handling. Evidence required: crawl exports for filter parameters and combinations, internal links into filtered states, canonical targets, robots directives, sitemap inclusion, and sampled index evidence from Google Search Console.
Pass condition: intentionally searchable categories and any deliberately selected filtered landing pages are internally coherent, while non-target combinations do not expand into uncontrolled crawlable or indexable duplicates.
Fail condition: parameter families multiply with no index purpose, internal links contradict canonical targets, sitemap entries disagree with intended indexability, or blocked states remain central navigation destinations.
Severity: High for catalogs where filters create substantial URL expansion. Owner: technical SEO with engineering. Corrective action: document which filtered states warrant standalone search landing pages, standardize canonical and directive behavior by template, reduce crawl paths into non-target combinations, and align internal links and sitemaps with the intended index set.
Validation: rerun the same crawl patterns and confirm that links, directives, canonicals, sitemap entries, and sampled index outcomes tell the same story.
Core Web Vitals on image-led templates. Evidence required: available field data, template-level diagnostics, request waterfalls, rendering traces, and representative mobile tests for home, category, product, and room-inspiration experiences.
Pass condition: the largest visible media is requested efficiently, space is reserved before assets render, and shared template code does not repeatedly dominate loading, responsiveness, or layout movement.
Fail condition: hero media, carousels, personalization, fonts, or shared components repeatedly create the same performance defect on important entry templates. Severity: High where the defect is systemic.
Owner: front-end engineering. Corrective action: remove avoidable render-blocking work, simplify early viewport components, reserve media and component space, reduce unnecessary client-side work, and prioritize only genuinely critical requests.
Validation: repeat tests on the identical template set after deployment and watch field trends over time rather than declaring success from one lab run.
Discontinued products and 404 handling. Evidence required: crawl results, internal-link references, known inbound-link evidence, product status, replacement availability, and parent-category relevance for retired SKUs.
Pass condition: each retired destination follows an intentional disposition: remain available with clear discontinued status and useful alternatives, redirect only to a genuinely equivalent replacement, or return a deliberate not-found response when no useful substitute exists.
Fail condition: retired inventory produces broken internal journeys, irrelevant blanket redirects, deceptive availability, or soft-error behavior. Severity: Medium to High based on landing demand, internal prominence, and known links.
Owner: merchandising with SEO and engineering. Corrective action: choose the correct disposition by product case, update internal references, preserve useful historical information only when it still serves shoppers, and do not force unrelated redirects.
Validation: recrawl the retired URL sample, follow internal journeys manually, and inspect representative outcomes in Search Console.
Product structured data. Evidence required: rendered product content, emitted structured data, the maintained commerce source, any merchant feed used, and Google's current testing or diagnostic tools.
Pass condition: markup describes the product and applicable commerce attributes that are visible and maintained, with values matching the customer-facing page and source of truth. Fail condition: markup conflicts with visible content, carries stale availability or pricing context, describes a non-product experience as a product, or includes unsupported properties merely to pursue a search enhancement.
Severity: Medium unless the defect is systemic across commercially important templates. Owner: commerce engineering with merchandising review. Corrective action: map structured fields directly to maintained product data, remove fields the business cannot keep accurate, and follow current documentation rather than assuming special markup is required for Google AI Overviews or other Google AI features.
Validation: inspect rendered output on representative SKUs, run current validation tools, and monitor relevant diagnostics without treating feature eligibility as guaranteed.