Liquid I.V.

• Largest Contentful Paint8.5s poor
• Cumulative Layout Shift0.008 good

Inconsistent product taxonomy blocks discoverabilityhigh

150 products use wildly inconsistent product_type values: 'NO-SEARCH', empty strings, 'Bundles', 'Hydration Multiplier Sugar-Free', etc. Over 20 collections exist but product_type tagging doesn't align, making filtering and search unreliable across the catalog.

Broken product metadata prevents customers from finding variants they want, increases bounce rate, and undermines collection-based merchandising that drives repeat purchases in CPG.

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

Is Liquid I.V. visible to AI shopping assistants?

✗ Not mentioned by Claude when asked “What are the best electrolyte drink mix 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.