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See how our clients are using Zipchat and the awesome benefits it's bringing to their businesses!
Standard search fails anyone who doesn't type the exact keyword. Zipchat's agentic AI search understands intent, searches your entire catalog semantically, and returns the right products every time.
Zipchat Agentic AI Search works in two places: inside the chat, and as a full replacement for your store's search bar.
When a visitor opens the Zipchat widget and asks "do you have something for sensitive skin under $40?", the AI doesn't check a FAQ list. It searches your entire catalog, product pages, blog posts, and knowledge base semantically, then returns a precise recommendation.
The customer describes what they want in plain language. Zipchat finds it.
This works across every channel where Zipchat runs: website chat, WhatsApp, Instagram DM, Messenger, and email. The same search intelligence operates wherever the conversation starts. See all channels →
When a customer clicks your store's search bar, Zipchat takes over. Instead of the native search results page, a full-screen search overlay opens. The customer types anything: a keyword, a description, a question. Zipchat's agentic search engine analyzes your full catalog and returns up to 12 matched products and up to 6 relevant pages, ranked by relevance to the stated intent.
No catalog re-tagging. No synonym tables. No manual optimization required.
Zipchat reads your catalog, product pages, descriptions, blog posts, and store policies. Setup runs automatically. You do not need to restructure or re-tag your catalog.
A customer clicks your search bar or opens the chat widget. Any query goes through the Zipchat agentic search engine first, whether it's a keyword, a natural-language description, an image, or a voice note.
Zipchat returns the most relevant products and pages based on what the customer meant, not just what they typed. If nothing matches, the AI opens automatically and continues the conversation.
Keyword search requires customers to guess the right words. Agentic search understands what they mean.
| Customer query | Standard search | Zipchat Agentic AI Search |
|---|---|---|
| "running shoes under $100 for desert trails" | No results (keyword mismatch) | Matched products by price, use case, and terrain |
| "gift for someone who likes fishing" | No results | Semantic match across catalog |
| "something like CeraVe for dry skin" | No results (brand not in catalog) | Finds alternatives by category and attributes |
| No match found | Empty page, customer leaves | AI opens, conversation continues, sale is recoverable |
| Customer searches in French on an English store | No results or wrong results | Full cross-language semantic matching |
| Customer sends a photo | Not supported | Visual search, finds similar products |
| Customer sends a voice note | Not supported | Transcribed and searched in real time |
| Customer wants a discount | Shows nothing | AI can create and apply a discount on the spot |
Search is not limited to typed text. A customer can upload a photo of a product and ask "find me something like this in black." Zipchat searches the catalog visually. A customer on WhatsApp sends a voice note describing what they are looking for. Zipchat transcribes it and searches in real time.
The same agentic search engine runs across every channel where Zipchat is deployed: the website chat widget, WhatsApp, Instagram DM, Messenger, and email. Shoppers can find products no matter where the conversation starts.
Standard search shows an empty page. Zipchat starts a conversation.
When the search overlay returns no results, it does not end there. On desktop, an AI chat panel opens directly inside the search overlay. On mobile, the full chat widget opens with the customer's query already filled in. The AI picks up where search left off: it can answer follow-up questions, suggest alternatives, create a discount to close the sale, or connect the customer to a human agent.
The no-results moment becomes a selling moment.
Desktop
AI chat panel opens inside search overlay. Customer continues without leaving the search experience.
Mobile
Full chat widget opens with query pre-filled. The conversation picks up exactly where search left off.
Zipchat's semantic search is locale-aware and multilingual. A customer searching in French on an English-language catalog still receives accurate, relevant results. Zipchat's AI replies in the customer's language automatically, with no separate localization setup required.
For SaaS companies, Zipchat Code runs the same agentic search against your documentation, codebase, and support history. When a customer or prospect asks a technical question in your chat, Zipchat searches across all your knowledge sources and returns a precise, sourced answer in seconds.
Support teams deflect repetitive tickets. Sales teams answer technical pre-sales questions without looping in engineering. Trial users get answers before they churn.
Keyword search was built for a world where customers knew exactly what to type. Zipchat's agentic AI search is built for the way people actually shop: describing what they need, asking questions, and expecting the store to understand them.
