
Why Traditional eCommerce Search Doesn’t Cut It Anymore
Even with filters, categories, and predictive text, most site search tools are stuck in 2010. They rely on rigid rules, exact-match keywords, and limited indexing. They miss nuance. They ignore context.
The result?
- Customers get flooded with irrelevant results
- Product discoverability tanks
- Support questions go unanswered
- Bounce rates rise—and LTV drops
And here’s the worst part: you’re likely spending serious effort improving your product content, optimizing collections, and running ad campaigns—only to lose the customer at the very last step.

What Can This AI Search Actually Do?
This isn’t a chatbot gimmick. It’s a functional search replacement—and more.
For Your Shoppers:
- “Do you have waterproof hiking boots under $150?”
- “Where’s my tracking number for my March order?”
- “What’s your return policy for items bought on sale?”
- “Are any insulated tumblers dishwasher safe?”
For Merchants:
- Dynamically update content by editing a shared Google Doc
- Connect product data, inventory, customer policies, and reviews
- Add search to more than just the search bar—think product detail pages, customer account pages, and help centers
- Replace rigid FAQs with contextual, real-time answers
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