01
Article discovery
Users can ask a question instead of guessing which category or article title contains the answer.
Help Center AI
A chatbot for your help center
ChattyBox makes help center articles easier to use by answering common questions in natural language and linking users back to the right article.
Crawls published docs pagesSource-cited answersEmbeds with one scriptNo docs migration requiredNo credit card requiredYour content stays yours
Ask ChattyBox
xWhere should I start if I need a reliable answer from this site?
Start by adding your website URL to ChattyBox. It crawls your content, answers from the pages it finds, and shows visitors the sources behind each response.
iSources3^
Help Center guide
chattybox.ai
Analytics
chattybox.ai
Home
chattybox.ai
Ask a question...
Powered by ChattyBox
Built for help center and support teams
Launch a source-cited chatbot without rebuilding your site stack
ChattyBox crawls your existing website, documentation, help center, CMS, or knowledge base, then embeds a chatbot that answers from your own published content instead of generic model memory.
Ground answers in the content your team already publishes.
Send users back to source pages when they need the full guide or reference.
Use unanswered questions to discover missing docs and unclear onboarding flows.
Install the widget without changing your docs platform or support stack.
1Workflow step
Connect your help center URL or sitemap.
2Workflow step
Index categories, sections, articles, FAQs, and troubleshooting guides.
3Workflow step
Test article-discovery questions and inspect cited articles.
4Workflow step
Install the chatbot where visitors need help finding the right article and monitor unresolved questions.
Three-step launch
Paste your Help Center URL, test cited answers, then install the widget.
Help center workflow
Turn support articles into conversational discovery
A help center chatbot should help users find the relevant article quickly, not replace the articles your team maintains, become the owner of source-evidence evaluation, or make promises about ticket outcomes.
Decision path
Use these checkpoints to decide whether ChattyBox should sit beside your docs platform, replace a separate assistant, or stay isolated for testing.
02
Article-backed guidance
Surface relevant how-to, setup, billing, and troubleshooting articles so visitors can read the documented steps.
03
Follow the documented path
Send visitors to the relevant source article so they can read the full policy, limits, or steps.
04
Content maintenance
Use unanswered questions to identify missing or outdated help articles.
Explore next
More ways to use ChattyBox
01AI chatbot with source citationsEvaluate inspectable linked evidence across docs and help centers when citation behavior is the primary requirement.02AI customer support chatbotUse article-backed support answers for repeat public-content questions and escalate private or unresolved cases.03Measure ticket-reduction potentialMeasure support outcomes against your own baseline rather than assuming an article-discovery result.
FAQ
Common questions
1
Can I use ChattyBox as a chatbot for a help centre?
Yes. ChattyBox can index a public help center or help centre and help visitors discover the articles that address their question.
2
Does it replace the help center?
No. It makes help center content easier to query and sends users back to the relevant articles for full details.
3
Can this reduce tickets?
This page focuses on article discovery. Use the ticket-measurement guide to evaluate whether self-service changes support outcomes for your content and audience.
4
What help center content works best?
Clear articles, FAQs, setup guides, troubleshooting docs, and policy pages work best.
Start free
No credit card required. Your content is not used for model training.
Create free chatbot
Free tier. No card needed.