The bar for “website chatbot” moved a lot in two years. What used to pass — a generic LLM regurgitating your About page — now loses trust in the first exchange. We build a website agent that stays grounded in your actual content and does something useful with the conversation.
Grounded in your real content. We index your product pages, docs, pricing, changelogs, case studies — and the agent’s answers stay inside that corpus. If someone asks what’s not covered, the agent says “we don’t publish that publicly; can I connect you with someone?” instead of inventing a plausible answer.
Hybrid retrieval. Pure vector search is not enough for product questions that hinge on exact feature names and SKUs. We run BM25 + dense retrieval in parallel — the approach that consistently beats vector-only in real-world product-support evals.
Citations under every answer. Linked back to the source page. Removes the “did it just make this up?” tax every visitor pays with most AI chats today.
Qualifies and hands off. The agent recognizes buying intent (“what does the enterprise plan include?”, “do you integrate with Salesforce?”) and can either book a meeting, capture a lead, or escalate to a live rep. Handoff comes with the full conversation context.
Fresh when your site is fresh. Re-indexing is automatic — push a doc change and the agent’s answer updates within minutes. No “please allow 24 hours” excuses.
Drops into any site as a widget, available as an embedded chat, or headless via API. Leads flow into HubSpot, Salesforce, Pipedrive, or your CRM of choice over the Vercel AI SDK or Claude Agent SDK tool layer. Every conversation is traced and exportable so your team can actually read them.
Contact us to scope a deployment — typically 2-3 weeks from kickoff to live.
Pair with one of our solutions architects. Two weeks from kickoff to a deployed, evaluated, observable agent in your stack.