ChatBuild AI is a website chatbot tool for creating custom trained AI customer service agents. It is aimed at people who want to add an AI chatbot to a website and use it to handle customer inquiries, support visitors, and hand conversations off to human agents when needed. The service says these chatbots can be created in minutes and that no coding experience or technical expertise is required.
Its setup flow is built around a form that collects a chatbot name, description, instructions, and welcome message. Training can use uploaded documents, website content, or knowledge base material, and the system is described as learning from that data to provide accurate, personalized responses. The product also supports conversation management features, including complete chat history, export of conversations, and analytics for conversation metrics and engagement patterns.
ChatBuild AI includes one-click integration through a code snippet that can be pasted into a website. The page says it works with WordPress, Shopify, custom sites, and more. It also describes 24/7 customer support behavior for the chatbot and gives example uses for e-commerce sales and support, local business customer service, lead qualification for professional services, patient support in healthcare, property inquiries in real estate, and booking or concierge assistance in hospitality. The tool is presented as an AI customer service chatbot and AI chatbot widget builder for websites.
Pricing shown on the page includes a free start, 300 credits, and no credit card required.
ChatBuild AI sits in PulseGate's Autonomous agents & workflows category. It focuses on allowing website owners to automate customer support and engagement by embedding AI-powered chatbots. ChatBuild AI is a B2B product aimed at website owners and customer support teams. A free plan is available; paid tiers begin at $9. It runs on the web, embeddable surfaces, and API.
ChatBuild AI first shipped in 2024. Key capabilities include custom chatbot creation, no-code setup, and website embedding. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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