Getting Started
From signup to an embedded widget in about 5–10 minutes.
Step 1: Create an account
Go to https://getchat9.live and click "Start for free".
Sign up with your email address. You will receive a verification email — click the link to verify your account before proceeding.
Step 2: Connect your OpenAI API key
Chat9 requires your own OpenAI API key to generate answers and embeddings.
- Go to your Dashboard → Settings.
- Enter your OpenAI API key in the "OpenAI API Key" field.
- Save.
You can get an OpenAI API key at https://platform.openai.com/api-keys.
Step 3: Add your knowledge
- Go to Dashboard → Knowledge.
- Either click "Upload document" or add a URL source.
- Supported file formats: PDF, Markdown (
.md,.mdx), Swagger/OpenAPI (.json,.yaml,.yml), Word (.docx,.doc), plain text (.txt). Maximum file size: 50 MB. - Swagger/OpenAPI files are processed semantically: Chat9 indexes API operations and schema detail instead of embedding raw JSON/YAML text.
- URL sources crawl same-domain documentation pages in the background and show crawl/index status in the same Knowledge hub.
- Wait until the document or source status returns to "Ready" — this may take a few seconds to a minute depending on size.
Step 4: Get your embed code
- Go to Dashboard → Settings (or the main dashboard page).
- Click Copy on the embed snippet (it includes your bot's
public_idin thedata-bot-idattribute). - Paste the code before the closing
</body>tag on your site.
Example shape (the Dashboard fills in your real values):
Step 5: Test it
Open your website and click the chat button in the bottom-right corner. Ask a question about your product — the bot will answer based on your uploaded documents.
What to expect:
- if the answer is clear from your docs, the bot replies immediately
- if one critical detail is missing, the bot may ask one short, specific follow-up question (embedded in the bot's text reply, not as separate buttons)
Step 6: Review gaps and recurring questions
Once you have a few real or test conversations, open Dashboard → Gap Analyzer.
There you can review:
- docs-side topics that look under-covered in your knowledge base
- repeated real-user question clusters that suggest missing documentation or confusing product areas
- draft content ideas your team can turn into docs, help-center pages, or FAQ updates