AI Search That Understands Beauty

Shopify's native search relies on basic keyword matching, which means it misses misspellings, synonyms, and natural language queries. Glood AI Search uses semantic understanding and NLP to interpret what shoppers actually mean — not just what they type. It also learns from real-time behavioral signals like clicks, add-to-carts, and purchases to continuously improve result relevance. The result is higher conversion rates, lower zero-result rates, and a search experience that gets smarter every day.

Glood AI Search delivers results in under 50 milliseconds on average. Our distributed architecture is built to handle 10,000+ concurrent search queries without degradation, so your customers get instant results even during peak traffic events like flash sales or holiday promotions. Speed is not a best-effort metric — it is a core infrastructure guarantee.

No. Glood AI Search installs directly from the Shopify App Store with a single click. There are no theme modifications, no code changes, and no developer involvement required. Once installed, Glood automatically indexes your product catalog and replaces your native search. Most stores are fully live within 15 minutes.

Glood uses a multi-layered approach to typo tolerance and synonym resolution. Our NLP engine automatically corrects common misspellings, maps synonyms (e.g., "sneakers" to "trainers" to "athletic shoes"), and uses intent mapping to understand what the shopper is looking for even when the query is imprecise. You can also manage custom synonyms and redirect rules through the Glood dashboard.

Absolutely. Glood is SOC 2 compliant and GDPR ready. All data is encrypted at rest and in transit using industry-standard AES-256 and TLS 1.3 protocols. Your product catalog data and customer search behavior are never shared with third parties and are used exclusively to power your store's search experience.

Yes. Glood's semantic engine understands beauty-specific color language like 'warm nude for medium skin' or 'cool-toned berry lipstick'. It maps shade families, undertones, and skin type descriptors to your products automatically - no manual tagging required.

Glood indexes your full ingredient lists and understands common aliases (e.g., Vitamin C = Ascorbic Acid = L-Ascorbic Acid). Shoppers can search for products containing specific ingredients or exclude ingredients they want to avoid, such as 'moisturizer without parabens or sulfates'.

Absolutely. Glood can parse and filter by certifications like cruelty-free, vegan, organic, and clean beauty. A search for 'vegan sunscreen reef-safe' returns only products matching both criteria simultaneously.

Yes. Glood's semantic engine maps skin concerns to relevant product categories and active ingredients. A search for 'dark spot treatment' surfaces products with ingredients like niacinamide, vitamin C, and alpha arbutin - even when product titles do not mention dark spots.

Glood indexes every variant including shade, size, and formulation. For stores with 500+ shades across foundations alone, we ensure the right shade surfaces for the right query. Results render in under 50ms regardless of catalog complexity.