What Looker changed

• Added support for Model Context Protocol (MCP) to connect AI agents to the Looker semantic layer.
• Updated the homepage headline to emphasize the "trusted semantic layer" as the foundation for AI.
• Added new customer proof points featuring PayPal, Intel, and ALLO Fiber.
• Expanded the FAQ section to explain how Looker integrates with AI agents and Gemini.
• Added new call-to-action links for starting a proof of concept and requesting a demo.
• Refined product descriptions to focus on "triggering business actions" rather than just showing data.

Looker is shifting from a dashboard tool to an "agentic" platform. By adding MCP support, they allow AI agents to use their data models as a "source of truth," reducing AI hallucinations and making data more actionable for automated workflows.

• The main headline changed to "Agentic BI platform for organizations."
• Added "Dashboard Agents" that can summarize data and make decisions.
• Introduced "Conversational Analytics" powered by Gemini AI.
• Added new APIs that let developers build AI agents into their own apps.
• Removed several direct links to free trials and demos from the top of the page.
• Updated the pricing section to include a new pricing calculator.

The product is moving from showing data on dashboards to using AI agents that can take actions. This changes the competition from simple reporting tools to AI-driven automation.

• Added a "Generate a solution" tool powered by Gemini to help users solve specific problems.
• Added a new "Learning Hub" and "Quickstarts" section to the main navigation.
• Updated the page menu to include direct links to specific use cases like data monetization and marketing analytics.
• Changed several internal links from looker.com to cloud.google.com, showing deeper integration with Google Cloud.
• Added links for Google Cloud certifications and a blog to the footer area.

The product is moving from a documentation-heavy focus to a more interactive, guided experience. By adding a solution generator and a learning hub, they are making it easier for users to start using their AI features without needing deep technical skills.