Pylon's AI features draw on your PostHog data when prompted, so answers reflect real product analytics instead of guesswork.
Ask AI and Copilot pull PostHog context alongside past tickets, call recordings, and docs in a single query with no tab-hopping required.
PostHog works together with your other connected MCPs like Linear and Notion, so Pylon can reason across all of them at once when responding.
Navigate to the connectors page in Pylon and filter to the MCP category to see available MCP Connections.
Select PostHog from the MCP Connections and complete the connection to link it to your workspace.
Once connected, Pylon's Ask AI, Copilot, and other AI features will draw on PostHog context when prompted with no further setup needed.
The Pylon and PostHog integration brings product usage data from PostHog into Pylon's customer account view. Support and customer success teams can see how accounts are actually using the product alongside their open tickets and support history, so every conversation is informed by real usage context not just what customers report.
When a customer reports an issue, PostHog data in Pylon lets agents see whether the problem is isolated or part of a broader usage pattern, which features the account has and has not adopted, and whether activity has dropped recently. This turns reactive ticket responses into informed, proactive support conversations.
Yes. Pylon's Account Intelligence pulls signals from multiple sources, including product usage data from tools like PostHog, to calculate custom health scores. Teams can weigh product activity alongside support volume and sentiment to get a more complete picture of which accounts are healthy and which are at risk.
Yes. Pylon's Product Intelligence feature automatically clusters and tracks feature requests from customer conversations. When PostHog usage data shows that customers are not adopting a specific feature, support and product teams can connect low adoption patterns to incoming requests and build a stronger evidence-based case for roadmap decisions.
B2B support and customer success teams at product-led companies benefit most. When product usage data flows into Pylon, CSMs and support agents stop asking customers to explain their context and instead already know what they have tried, what they use most, and where they are getting stuck before the conversation begins.
Pylon connects with the tools your team lives in — Slack, email, CRMs, ticketing systems,and more. Meet your customers where they are and streamline every support workflow.
Receive and respond to customer messages from Telegram
Manage B2B support directly in Slack channels alongside your team.
Connect Pylon to Granola to ingest call recordings
Sync Outlook Calendar meetings to customer records in Pylon
Automatically capture and log Google Meet call notes to Pylon
Automcatically link active incidents to affected customer conversations.
Enrich customer records with usage data from Amazon Redshift.
Create Shortcut stories from customer conversations automatically
Trigger PagerDuty incidents from critical customer-reported issues.
