Chatbit – AI Chatbots for Your Website

What

Chatbit is a no-code platform for building AI chatbots for websites. It lets businesses train a custom GPT-based chatbot on their own website content, knowledge base material, text, and uploaded files such as PDFs, then deploy it as a website widget or shared link.

The product appears aimed at companies that want an always-on website assistant for customer support, knowledge-base Q&A, ecommerce assistance, or lead capture without building a custom AI system. Its positioning is likely a self-serve website chatbot tool focused on fast setup, brand customization, and practical business use cases.

Features

• Training on business content: The chatbot can be trained on website pages, knowledge base resources, text, and files, helping it answer questions based on company-specific information.
• No-code website deployment: Installation is done with a single line of code or via a shareable link, which lowers implementation effort for non-technical teams.
• Visual and brand customization: Users can change the chatbot’s name, icon, theme, colors, position, logo, and custom CSS to better match their site experience.
• Lead capture and delivery: The chatbot can collect visitor details such as name, email, and phone number, with optional daily reminders about new conversations.
• Conversation review and answer refinement: Teams can access chat inboxes, read conversations, and correct responses to improve answer quality over time.
• Model, language, and control options: Chatbit supports multiple AI models, multilingual use, domain restrictions, and guardrails to help shape where and how the bot operates.

Helpful Tips

• Audit source content before deployment: Since answer quality depends heavily on training material, clean and structure website copy, FAQs, and uploaded documents first.
• Start with one focused use case: Support, lead qualification, and ecommerce guidance each require different prompts and data priorities, so narrower initial scope usually improves outcomes.
• Use conversation logs as tuning input: Reviewing real visitor chats is one of the clearest ways to identify missing content, weak answers, and opportunities to refine Q&A.
• Check domain and brand controls early: For public-facing website chatbots, setup details like domain restrictions, tone, and visual customization affect trust and misuse prevention.
• Validate multilingual performance on core intents: The page says most languages are supported, but teams should still test priority languages and edge-case questions before broad rollout.