Connect Webzi to Muchat
Configure the Webzi connection so Muchat can access the approved site, store, and public or private business data you want your agent to use.
Muchat reads Webzi data such as designed pages, templates, products, bookings, and website content, keeps that knowledge organized, and creates an accurate chatbot for support, product guidance, and customer questions.
Instead of writing every answer by hand, Muchat reads the structure of Webzi, extracts the important information, and answers from the real data behind your website or store.
Configure the Webzi connection so Muchat can access the approved site, store, and public or private business data you want your agent to use.
Muchat indexes designed pages, templates, products, bookings, and website content, organizes repeated information, and builds searchable knowledge for your AI agent.
The agent answers from your site data, routes users to the right product or page, and can hand sensitive conversations to your human team.
This is more than a technical connection. Muchat turns scattered website and commerce data into reliable knowledge for sales, support, and customer guidance.
Names, descriptions, attributes, categories, pricing, and inventory can become answer-ready knowledge.
Site content, blog posts, policies, buying guides, and FAQs can be used directly in agent replies.
Users can find the right product, service, or page in natural language instead of relying on rigid keywords.
When products, pages, or policies change, the agent knowledge can be refreshed so answers do not drift from reality.
The agent relies on real site data, controls ambiguous answers, and keeps a human handoff path available.
Categories, tags, attributes, and relationships between products are preserved so replies stay precise and traceable.
Muchat turns Webzi into a live knowledge source so customers get accurate answers, discover the right products, and your team spends less time on repetitive questions.
Join thousands of businesses building AI assistants with Muchat to support customers at any scale, across chat, messaging apps, and voice.

