Solutions · Product Search
Product search that
understands people, not keywords.
Build a product-search agent on SentientOne, connect it to your live catalogue over MCP, and put it in your storefront. Shoppers ask for “a warm waterproof jacket under $200” and get exactly that — with alternatives when something's out of stock.
Keyword search loses sales.
Shoppers don't retry.
When search returns the wrong products — or nothing — customers rarely refine the query. They just leave.
Zero-results dead ends
Misspell one word or phrase it differently and the shopper gets an empty page — for a product you actually stock.
Keywords miss intent
“A gift for a 6-year-old who loves space” matches nothing, even when you have a shelf full of perfect fits.
Filters do the work
Shoppers are forced to translate what they want into your facets and categories — most won't bother.
No follow-up questions
A search box can't ask “what size?” or offer the nearest alternative when the exact item is sold out.
A shop assistant,
in the search box.
A product-search agent on SentientOne reads intent, checks your live catalogue, and answers the way a good assistant would.
Understands plain English
Interprets full sentences, constraints, and budgets — “running shoes for flat feet under $150” just works.
Live catalogue data
Connected to your product API over MCP, so prices, stock, and variants are always current — never scraped or stale.
Suggests alternatives
Out of stock or slightly off? It proposes the nearest in-stock options instead of a dead end.
Asks clarifying questions
Narrows down size, colour, or use case in conversation, so the shopper lands on the right product faster.
Fast enough for search
Streams the first answer in about a second, so it feels like search — not a support queue.
Every language
Shoppers ask in their own words and language; the same agent serves every market from one setup.
Launch it on your store
in hours.
Four steps from an empty dashboard to a live agent in your storefront.
Create the agent
In the dashboard, name your search agent, write a system prompt that sets its tone and scope (“help shoppers find products, suggest alternatives”), and pick a model — GPT-4o, Claude, or Gemini. No code.
Connect your catalogue
Expose your product or search API as an MCP server — SentientOne discovers the tools automatically. Or upload catalogue data straight to the agent's knowledge base.
Tune it in the Playground
Run real shopper queries, tweak the prompt, and set guardrails — like only recommending items that are in stock.
Deploy to your storefront
Embed the chat widget with one snippet, or call the agent from your existing search bar through one REST API. Every query is traced for tokens, latency, and cost.
<script src="https://app.sentientone.ai/widget.js" data-agent-id="your-agent-id" data-style="bubble"> </script>
curl https://api.sentientone.ai/v1/chat/stream \
-H "Authorization: Bearer $SENTIENTONE_KEY" \
-d '{
"agent": "product-search-agent",
"message": "A warm waterproof jacket under $200"
}'Plugged into
your commerce stack.
Bring your product content, connect your catalogue, and deploy wherever shoppers already search.
Knowledge sources
- Product descriptions
- Size & fit guides
- Buying guides
- Returns & policies
Connect via MCP
- Product catalogue API
- Inventory & pricing
- Search & recommendations
- Your internal APIs
Deploy to
- Storefront search bar
- Website chat widget
- In-app via REST API
- Any channel, one API
Questions, answered.
How is this different from keyword search?
Keyword search matches strings; the agent reads intent. It understands constraints (“under $200”), use cases (“for flat feet”), and vague asks (“a gift for a 6-year-old”), then checks your live catalogue before answering.
Does it know my live stock and prices?
Yes. It calls your product API through MCP at question time, so availability, price, and variants come from your systems — not a stale copy.
What happens when a product is out of stock?
Instead of a dead end, it offers the nearest in-stock alternatives — same category, similar price — and can ask a clarifying question to narrow the pick.
Can it stay on-brand?
The system prompt sets tone and scope, and guardrails keep it to your catalogue. It recommends your products — it doesn't improvise beyond them.
How long does it take to set up?
Most teams have a working agent in an afternoon: create it in the dashboard, connect the catalogue over MCP, test in the Playground, and embed the widget with one snippet.
Can we self-host it?
Yes. Run SentientOne single-tenant or fully self-hosted, with your own model keys, when privacy and compliance require it.
Turn search into
your best salesperson.
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