CrawlChat powers a GTM internal assistant that unifies docs, ensures permission-aware answers, and delivers consistent, up-to-date knowledge across Slack, Discord, and web—boosting onboarding, messaging, collaboration, and measurable team impact.

Linear integration with CrawlChat centralizes project data, speeds up queries, and automates updates, helping GTM teams collaborate efficiently and focus on strategic work.

CrawlChat Actions let chatbots call APIs to fetch data or perform tasks. Configure with URL, method, and data. Logged in analytics, executed securely on servers, with sensitive details

RAG answers queries from your documents by chunking, embedding, storing in a vector DB, retrieving matches, and feeding them to an LLM for context-aware responses.

Most users don’t read your help docs—they search, skim, or ask someone. CrawlChat turns your existing documentation into a smart chatbot that gives instant answers, finds gaps, and reduces support tickets.

Basic RAG answers in one shot; Agentic RAG breaks down queries and reasons step-by-step for better accuracy.

Polotno uses CrawlChat to power an AI assistant that helps developers instantly find answers from documentation, boosting productivity and support.

How CrawlChat makes docs easier to access and improves developer experience.

Add an AI-powered “Ask” button to your Docusaurus docs for instant, smart user support.

Learn how to add chatbot for your docs on your website and other channels