Quiksilver

• Largest Contentful Paint7.26s poor
• Cumulative Layout Shift0.199 needs-improvement

1,149 products with minimal variant differentiation & unclear filteringhigh

The store carries 1,149 products across 250+ collections, but product pages show very low variant counts (1–13 per item) despite wide price range ($0.99–$946) and diverse product types (swim trunks, shirts, hats, pants). Collection structure is heavily material/material-focused (e.g., '100% Cotton Daily Wear T-Shirts' with 142 products) rather than shopper intent, making it hard for visitors to navigate or filter by actual needs (e.g., 'winter gear' vs. 'beach').

Visitors abandoning product search due to poor discoverability and unclear filtering cost direct revenue; collections optimized for inventory taxonomy rather than customer journey reduce conversion velocity.

🔒 The fix — plus a prioritized 30-day plan — is in the full audit.

Is Quiksilver visible to AI shopping assistants?

✓ Recommended by Claude when asked about surf and snowboard clothing brands.

• Organization schemapresent
• Product schemamissing

🔒 The full audit probes ChatGPT, Claude & Perplexity and gives the exact schema to add.