AI meeting notetaker apps are evolving beyond simple transcription and summarization to become comprehensive enterprise workspaces. Otter is leading this shift with a new enterprise search feature that allows users to query data across multiple tools while meeting. Acting as a Model Context Protocol client, Otter connects to external services using a common standard rapidly adopted by the AI industry. This follows a similar strategic direction taken by competitors like Read AI, Fireflies.ai, and Fathom. Although Otter has existed for nearly a decade, its focus has recently shifted toward becoming a central productivity hub. Last October, the company introduced tools for organizations to build custom models to access Otter data externally. The latest update reverses this flow, enabling users to pull outside data into the application. Users can now link accounts from Gmail, Google Drive, Notion, Jira, and Salesforce to search content alongside existing meeting transcripts. Future updates will expand support to include Microsoft Outlook, Teams, SharePoint, and Slack. Beyond search, the platform allows users to push meeting summaries to Notion pages or draft emails in Gmail directly from the interface. Otter has also redesigned its AI assistant to remain constantly visible across the entire interface. This updated assistant can understand the context of the current screen, such as a specific meeting or communication channel, to provide relevant answers on demand. Simultaneously, the industry is moving toward botless meeting capture, where software records system audio without a bot joining the call. While Otter introduced this feature on Mac late last year, it is now launching it on Windows. Despite the industry trend toward botless recording, Otter CEO Sam Liang noted that enterprise clients often prefer a bot that joins the meeting. Liang explained that customers value the transparency provided by a visible participant and prefer notes shared with all attendees rather than restricted to a single user. To prevent issues where too many automated participants join a single call, Otter has implemented a deduplication feature that ensures only one bot joins a meeting. Regarding the company's growth, Otter reported 25 million users and $100 million in annual recurring revenue last year. While recent financial figures were not disclosed, the company confirmed its user base has grown to 35 million. This expansion highlights the increasing demand for integrated AI tools that consolidate information across an organization's digital ecosystem, transforming isolated data points into actionable business insights.