What is CrawlChat?

CrawlChat transforms product and technical documentation into an AI chatbot and searchable knowledge base that answers questions on your website, Discord, and Slack.

Embed the Ask AI widget or add the CrawlChat Discord bot and Slack app to deliver instant answers with source citations.

Import content from Docusaurus, Notion, Confluence, GitHub, files, and YouTube transcripts; the system reranks and retrieves relevant passages across sources.

Escalate unanswered queries into support tickets and train the assistant from moderator corrections and user ratings.

Monitor analytics for message volume, answer scores, categories, data gaps, sentiment, and popular pages to prioritize documentation improvements.

Customize the widget appearance, prompts, and LLM selection from the dashboard, and automate workflows via API and n8n integration.

CrawlChat pricing Free trial

Starter $45/mo

Pro $99/mo

Verify on the official pricing page.

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CrawlChat's key features

Embeddable AI chatbot (Ask AI widget) deployable on websites, Discord, Slack, MCP and via API
Multi-source knowledge ingestion from websites, Docusaurus, Notion, Confluence, GitHub, files, YouTube transcripts and APIs
Automated support-ticket creation and human escalation when the AI cannot answer
Comprehensive analytics: message and conversation metrics, score distribution, data gaps, categories, sentiment, geolocation and device reports
Customizable UI and AI behavior with custom prompts, branding, team collaboration, and training from feedback (ratings and Discord reactions)

CrawlChat use cases

Embed an AI-powered documentation chatbot on your website and support channels like Discord and Slack by importing Docusaurus, Notion, Confluence, GitHub repos, files, and YouTube transcripts, delivering instant, source-cited answers through an embeddable answer widget while escalating unresolved queries into support tickets
Build a centralized, searchable knowledge base for engineering and product teams by aggregating docs from multiple sources into a single AI assistant that surfaces exact source citations for technical queries, collects user feedback to retrain the model, and provides knowledge base analytics to identify gaps
Reduce customer support load and improve resolution times by converting FAQs, help center articles, and tutorial videos into a chatbot that suggests answers, routes complex issues to ticketing systems, captures feedback-driven model improvements, and tracks analytics to continuously refine documentation