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Mintlify Blog

22 UX improvements to the web editor Introducing the Mintlify Help Center Starter Kit Introducing the collaborative editor built for teams and agents Workflows, rebuilt Is your documentation agent-ready? Mintlify raises $45M Series B led by Andreessen Horowitz and Salesforce Ventures 5 things you didn't know you could do in the Mintlify web editor The improved Mintlify CLI Docs on autopilot: From zero to self-maintaining with Mintlify The state of agent traffic in documentation (March 2026) How we built a virtual filesystem for our Assistant We Replaced Our Internal Wiki With a Slack Bot. You Should Too. 8 ways teams use Mintlify to keep docs updated automatically Documentation is your AI interface What three years of watching AI in production taught us Bridging two JSX runtimes: How we solved Astro's React children problem AI agents are shipping faster than anyone can document Knowledge management systems for technical teams Workflows: Automate documentation maintenance Mintlify acquires Helicone to redefine AI knowledge infrastructure Why more product managers are switching to Mintlify Auto-generating documentation sites from GitHub repos Your docs, your frontend, our content engine Take control of your documentation system Almost half your docs traffic is AI, time to understand the agent experience @mintlify for better docs, faster Mintlify for Enterprise Real llms.txt examples from leading tech companies (and what they got right) Mintlify + Claude Opus 4.6: Powering AI-native knowledge management Declaring Clankruptcy: An experiment in agent orchestration
Launch Week II Day 5: Chat Analytics
Joshua Kim · 2024-01-11 · via Mintlify Blog

Launch Week II Day 5 introduced Chat Analytics to the Mintlify dashboard, providing detailed insights into user questions and chatbot responses. This feature allows teams to segment chat history by date, manage AI Chat usage, and identify common queries and content gaps to improve documentation structure and effectiveness.

Our final day of Launch Week 2 brings Chat Analytics to the Mintlify dashboard 🤖.

After launching ChatGPT for docs last year powered by our friends at Inkeep, we've received an overwhelming response on how it has supercharged the search experience, allowing users to find exactly what they are looking for.

AI Chat Analytics takes a step forward by providing more detail on what your users as asking as well as how the chatbot responds.

Now, you can segment chat history by date, manage your AI Chat usage, and find information about how often a specific query appears.

This level of granularity allows you to to see how changes to the documentation are influencing chatbot Q&A.

The starting point for improving existing technical documentation is understanding where users are engaging or dropping off.

With more detailed insights into the exact questions users are asking, chat analytics allows you to identify common queries and gaps in content.

This provides the launching pad to help you better structure your technical guides and API Reference sections.

Chat analytics are available on our startup plan, alongside ChatGPT for docs. Check it out at app.mintlify.com!

That's a wrap for launch week! Thanks for staying tuned ❤️.

Missed our previous launch days? Follow our Twitter or join the community to catch up on our exciting feature releases.