Introducing ChattyBox: Cited Website Answers
ChattyBox helps teams turn public website content, documentation, help centers, and CMS pages into an AI chatbot that uses retrieved content to guide answers. It crawls the pages you choose and can return source-page links for visitors to inspect. Fallback responses can have no citations, and a citation is not a guarantee that an answer is correct.
The product is built for teams that want a practical AI support layer without migrating documentation or rebuilding their site stack. Add your website URL, let ChattyBox crawl published content, test real questions, then install the widget with a script tag.
Why We Built It
Most website chatbots either require a heavy sales-led setup or answer too broadly from model training data. ChattyBox focuses on the content you already publish, so visitors can ask natural-language questions and still verify the answer against your documentation.
That makes it useful for documentation sites, SaaS help centers, developer docs, CMS pages, and product websites where trust matters.
What Comes Next
This blog will share practical guides on using AI to reduce support tickets, building reliable RAG chatbots for websites, and adding AI assistants to documentation without losing source control.
Start with the documentation AI chatbot guide or read the installation docs to add ChattyBox to your site.