Your documentation is useful, but users still ask the same questions. ChattyBox turns docs and related site content into a source-cited assistant for repetitive support questions.
General-purpose AI chatbots try to be conversationalists. Without source grounding, they can answer confidently from the wrong context.
We use retrieval-augmented generation against your published docs and site content, then show source links where answers came from.
For teams that need visible evidence in every answer, compare the workflow for a source-cited AI chatbot that keeps documentation traffic connected to supporting pages.
Purpose-built workflows that keep answers traceable, grounded, and useful for technical users.
Enter your docs, website, or sitemap URL. ChattyBox crawls and indexes the pages users already read.
The answer flow is configured to use retrieved context and avoid unsupported API, feature, pricing, or policy claims.
Answers can include links back to the documentation pages where the relevant information lives.
These answers summarize how ChattyBox reads source content, cites documentation pages, handles missing information, and installs alongside an existing docs stack.
ChattyBox crawls your published docs, website, sitemap, CMS, or help center pages, extracts readable text, and retrieves relevant passages when a visitor asks a question.
Yes. When source material is available, ChattyBox can show links back to the documentation pages used for the answer so users can verify details and keep reading.
The assistant is designed to avoid unsupported claims and can fall back when indexed content does not include the answer. Those gaps can inform future documentation updates.
No. You can keep your current docs stack and embed the ChattyBox widget after crawling and testing the source-cited answers.
Use ChattyBox to answer repetitive documentation questions from source content and route gaps back into your docs backlog.
