What Enterpret changed

• New Core Product: Introduced "Enterpret Agent," which automates the process of finding, filing, and verifying customer issues.
• Revenue-Driven Prioritization: Added features to rank product ideas and bugs by specific ARR (Annual Recurring Revenue) impact and conversation volume.
• Automated Workflows: Added "Agent Automations" like Escalation Shield, Quality Monitor, and Launch Feedback Monitor to trigger actions in Slack and Linear.
• Developer Tooling: Added support for MCP (Model Context Protocol) to allow coding agents like Cursor and Claude to query customer context directly.
• Messaging Shift: Changed the headline from "Customer intelligence infrastructure" to "Customer Context for AI-Native Product teams."
• Efficiency Claims: Added data claiming that using Enterpret as a context layer makes AI answers 4x cheaper and 3x faster than using raw data.

The product has shifted from a passive "intelligence infrastructure" to an active "AI Agent" that automatically detects issues, alerts teams, and hands context to coding agents to fix bugs.

• Replaced a Canva case study video link with a new product/site called "Feedback Bench."
• Feedback Bench is described as a weekly ranking of AI agents based on actual user feedback.
• Removed the "BOOK A DEMO" button from the bottom of the homepage.

Enterpret is shifting its marketing focus from static case studies to a dynamic, weekly ranking of AI agents. This positions them as a central authority in the AI space and suggests they are using their own data to benchmark industry performance.

• Removed the registration link for a webinar about the future of product management in 2027.
• Added a new featured video titled "How Canva Turns Customer Feedback Into Product Decisions."

Enterpret is shifting from promoting future-looking webinars to showcasing a high-profile, real-world success story with Canva. This provides social proof of how their infrastructure handles feedback at scale for a major brand.