Never Fully Dressed

• Largest Contentful Paint17.2s poor
• Cumulative Layout Shift0.885 poor

5,215 products across 108 collections creates severe findability crisiscritical

The store shows 5,215 total products with 108 collections, yet the sample reveals massive categorical confusion: 'All Products' collections appear duplicated, vendors are mixed (NFD Outlet vs. Never Fully Dressed), and price variance is extreme ($0.01–$349). The product taxonomy ('T-Shirts / Tanks', 'Cardigan / Jumper', 'Dresses', 'Nightwear') suggests unclear categorization boundaries, likely causing navigation friction and search abandonment.

At scale, fragmented collections and inconsistent product tagging prevent shoppers from efficiently narrowing to desired items, directly reducing conversion and increasing bounce rate on browsing journeys.

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

Is Never Fully Dressed visible to AI shopping assistants?

✗ Not mentioned by Claude when asked “What are the best women's clothing brands that ship in the US?”. As shoppers ask AI what to buy, being invisible means lost demand.

• Organization schemapresent
• Product schemamissing

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