Source-Grounded Responses
AI Chatbot That
Stays Grounded
Generic chatbots can invent answers when they don't know. ChattyBox is designed to answer from your source content, cite pages, and fall back when the content is missing.
The unsupported-answer problem
When AI does not have reliable source content, it can produce confident but unsupported answers. That is risky for product, policy, support, and technical questions.
Where generic chatbots can struggle
- May suggest API endpoints that don't exist
- Can mix up pricing from different plans
- May answer policy or pricing questions without source checks
- Can produce code examples or setup steps without matching docs
What ChattyBox Does
- Prioritizes your scraped website, docs, CMS, and help content
- Can fall back when source information is missing
- Links to source pages for verification
- Keeps code and source-specific details tied to the indexed pages
How ChattyBox reduces unsupported answers
Strict Context Injection
Retrieved source passages are added to the prompt so answers are anchored to the pages you publish.
Fallback Responses
When relevant content is not found, the bot can use a fallback response instead of filling gaps from memory.
Source Citations
Answers can include links to source pages so users can verify the information themselves.
Build trust with grounded AI
Connect your public content, test real user questions, and review the citations before you publish the chatbot.
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