Will the chatbot hallucinate answers?

With strict RAG setup, answers are grounded in your published website, documentation, help, or CMS content and can include source citations.

Implementation Guide

How to Add an
AI Chatbot to Your Site

A practical setup guide for teams that want visitors to get answers from website, docs, CMS, help center, About, policy, and support content.

Step-by-step setup

Start with the pages customers already read, verify answers against real support questions, then embed the widget when citations look right.

How long does it take to add an AI chatbot to a website or documentation?

Most teams can go live in 5 to 15 minutes by connecting their docs, website, CMS, or help center URL and adding a single script tag.

Create your chatbot project, then add your website, documentation, CMS, help center, or sitemap URL so the crawler can discover content quickly.

Run the initial scrape. ChattyBox extracts page text, headings, and structure to build a searchable knowledge base for responses.

Ask common product, policy, onboarding, support, and API questions in the test chat. Verify answer quality and source citations before launch.

Copy the script snippet into your site template right before the closing body tag, then deploy.

Use analytics and content-gap insights to improve the pages, articles, FAQs, and policies that users ask about most.

Launch checklist

For best accuracy, keep responses grounded with strict RAG and ensure your source content is updated whenever product behavior changes.