Article-backed answers
Ground responses in the articles your support team already maintains.
ChattyBox helps teams use public Intercom Articles as source content for AI answers while keeping their existing support and messaging stack intact. Check answers for accuracy.
ChattyBox crawls your existing website, documentation, help center, CMS, or knowledge base. Retrieved content can guide the chatbot’s answers; check answers and citations for accuracy.
Connect your public Intercom Articles collection or sitemap.
Review which articles should answer support and onboarding questions.
Test real questions and inspect cited article links.
Embed the widget on your site, app, or help center where custom JavaScript is supported.
Three-step launch
If your articles already answer common questions, ChattyBox can make those answers easier to find without moving content or changing support workflows.
Use these checkpoints to decide whether ChattyBox should sit beside your docs platform, replace a separate assistant, or stay isolated for testing.
Ground responses in the articles your support team already maintains.
Keep Intercom for messaging and use ChattyBox when you want a lightweight docs assistant.
Supported answers can link to retrieved articles for more context; fallback responses may have no sources.
On Pro or Business, review flagged questions as heuristic signals of possible content gaps, not definitive article diagnoses.
Yes, when the articles are public and crawlable, ChattyBox can use them as source content.
No. ChattyBox is a docs-first chatbot that can sit beside existing Intercom support workflows.
Supported answers can link to retrieved article pages, but fallback responses may have no sources. Check answers and citations for accuracy.
Teams with strong article content that want self-serve AI answers without adopting a full support automation suite.
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Free tier. No card needed.