Borjan

• Largest Contentful Paint6.93s poor
• Cumulative Layout Shift0 good

Collection taxonomy confusion dilutes discoverabilityhigh

The store has 250 collections, but many are incoherent—collections labeled by bottle size ('100 ml - Men', '15 ml - Women') sit alongside product categories ('Accessories', 'Athleisure') and discount tiers ('30%', '40%'). This fragmentation makes it difficult for shoppers to browse by product type and for search/filtering to function logically.

Confusing collection structure increases bounce rate, reduces average order value by forcing shoppers to abandon category browsing, and signals poor merchandising to both users and search engines.

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

Is Borjan visible to AI shopping assistants?

✗ Not mentioned by Claude when asked “What are the best shoes and slippers 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.