AI search Coming soon
AI ecommerce search that understands what shoppers mean
Keyword search matches characters. AI ecommerce search reads intent — turning “warm waterproof jacket for hiking under $200” into precise catalog filters, and keeping the conversation going until shoppers find the right product.
Natural language search
From sentence to results
Shoppers don’t think in filters — they think in sentences. Velosearch translates natural language queries into structured search: categories, attributes, price ranges, and stock status, extracted automatically and applied instantly.
No new storefront UI required. The same search box your shoppers already use simply starts understanding more.
Conversational search
Follow-ups, not dead ends
Shoppers refine: “something lighter”, “do any of these come in black?”, “which one is best for winter?” Conversational search keeps context across the whole exchange and answers from your catalog — real products, real prices, real stock — never invented ones.
Every answer links back to products shoppers can buy right now, so conversations end in carts instead of tabs.
Why it matters
Intent is the conversion lever
Site search users are your highest-intent visitors — they came to buy something specific. Every zero-result page, every irrelevant first row, every typo that goes uncorrected is a sale handed to a marketplace. AI search closes that gap by understanding the query the way a good shop assistant would.
Velosearch builds AI search on the same account-scoped index that powers your instant keyword search, so semantic understanding, typo tolerance, synonyms, and merchandising rules all work together — one API, one dashboard, one source of truth.
Be first in line for AI search.
AI search is in development. Velosearch accounts get early access as it rolls out.