01
Start with repeat volume
Look for pricing, setup, troubleshooting, account, integration, and how-to tickets with existing docs.
Ticket Deflection
Reduce support tickets with a source-cited AI chatbot
ChattyBox helps users self-serve before opening a ticket by answering common questions from your existing docs, help center, product pages, and FAQs.
Crawls published docs pages
Source-cited answers
Embeds with one script
No docs migration required
Demander à ChattyBox
xPar où commencer si j’ai besoin d’une réponse fiable depuis ce site ?
Commencez par ajouter l’URL de votre site web à ChattyBox. Il explore votre contenu, répond à partir des pages trouvées et montre aux visiteurs les sources derrière chaque réponse.
iSources citées3^
Support Guide
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Propulsé par ChattyBox
Conçu pour support teams
Lancez un chatbot avec citations de sources sans reconstruire votre stack de docs
ChattyBox explore votre documentation existante, indexe le contenu pour la recherche et intègre un chatbot qui répond avec vos docs plutôt qu’avec la mémoire générique du modèle.
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.
Étape du workflow
Identify repeated tickets that are already answered in public content.
Étape du workflow
Crawl the docs, help center, product pages, and FAQs that should answer those questions.
Étape du workflow
Test the highest-volume ticket themes and review citation quality.
Étape du workflow
Install the chatbot before ticket creation and monitor unanswered questions.
Three-step launch
Paste your Support URL, test cited answers, then install the widget.
Deflection workflow
Deflect the questions your content already answers
The best first use case is not full support automation. It is giving users immediate answers to the repeat questions your team sees every week.
02
Cite the article
A source link makes the answer more trustworthy and gives users a path to more detail.
03
Escalate missing context
If the docs do not contain an answer, the chatbot should avoid guessing and surface the gap.
04
Improve content over time
Use unanswered questions to update docs and increase future deflection.
À explorer ensuite
Plus de façons d’utiliser ChattyBox
01
Use Cases Hub
Browse the main ChattyBox use cases for website, documentation, support, SaaS, CMS, and WordPress teams.
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02
Chatbot documentaire
Turn technical docs into a self-serve support assistant that answers with source links.
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03
Implementation Guide
Use the step-by-step launch checklist for documentation chatbot rollout.
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Questions fréquentes
Questions fréquentes
Can an AI chatbot reduce support tickets?
Yes, when many tickets repeat information already available in docs, FAQs, help articles, or product pages.
What tickets are best to deflect?
High-volume, low-complexity questions with clear public answers are the best starting point.
Should the chatbot answer account-specific questions?
Not unless the answer is available in the indexed source content. Use escalation for private or account-specific issues.
How do I estimate deflection?
Use support volume, repeat-question percentage, and expected chatbot resolution rate to model monthly impact.