Key Highlights:

• Otter now supports enterprise search across Gmail, Google Drive, Notion, Jira, and Salesforce.
• The update uses Model Context Protocol to connect workplace apps into one searchable interface.
• A redesigned AI assistant stays active across screens and answers contextual questions.
• The company says its platform has grown from 25 million to 35 million users.

Otter has launched a new enterprise search feature that lets users query data across workplace tools like Gmail, Google Drive, Notion, Jira, and Salesforce directly inside its AI meeting assistant. The update turns the platform into a centralized workspace that connects meeting insights with business documents and conversations.

The move signals a shift in how AI notetaker apps are evolving. Instead of only summarizing meetings, they are becoming knowledge hubs that help teams retrieve and act on information faster.

Otter’s latest upgrade arrives as competition increases among AI productivity platforms trying to become the primary interface for workplace intelligence.

Why is Otter moving beyond meeting transcription?

AI meeting assistants first gained popularity by recording conversations and generating summaries. However, transcription alone no longer defines the category. Companies now want these tools to surface insights from across their organization.

Otter is responding by adding enterprise search powered through Model Context Protocol, or MCP. This standard allows AI tools to connect with external services using a shared framework.

With the update, users can search both meeting content and connected apps in one place. They can also push summaries into Notion or draft Gmail responses without switching platforms.

This turns Otter into more than a recorder. It becomes a workspace layer across enterprise software.

How Otter connects Gmail, Notion, Jira, and Salesforce using MCP

The new integration works by linking external accounts directly to the assistant interface. Once connected, users can query information across multiple services alongside meeting transcripts.

For example, someone reviewing a project discussion can immediately search related Jira tickets or documents stored in Google Drive. They can also generate follow-up emails from meeting summaries without leaving the app.

Otter said support for Microsoft Outlook, Teams, SharePoint, and Slack will arrive soon. That expansion could further strengthen its role as a central search interface for workplace knowledge.

The company previously allowed organizations to build custom MCP connections to export Otter data. Now the focus shifts toward bringing external information into the platform instead.

What changes in the redesigned AI assistant experience?

Alongside enterprise search, Otter has redesigned its assistant so it stays present across the entire interface. Users can ask questions anytime while reviewing meetings, channels, or documents.

The assistant understands screen context. That means it can answer questions related to a specific meeting or workspace without requiring manual prompts.

This persistent assistant approach reflects a broader shift toward embedded AI experiences. Instead of opening separate chatbot windows, users interact with intelligence directly inside workflows.

As a result, Otter is positioning itself closer to an always-available decision support system rather than a standalone transcription tool.

Why botless meeting recording is becoming common

Another change involves how meetings are captured. Many AI notetaker apps now support recording through system audio instead of sending a bot into calls.

Otter introduced this capability on its Mac app last year. It is now launching the same feature for Windows users.

Still, the company says enterprise customers often prefer bots that join meetings. According to CEO Sam Liang, organizations value transparency when participants can clearly see a note-taking assistant in the session.

Otter also added a deduplication feature to prevent multiple bots from joining the same meeting simultaneously. That helps avoid situations where automated assistants outnumber participants in virtual calls.

What Otter’s growth numbers say about the AI productivity race

Otter reported last year that it had 25 million users and $100 million in annual recurring revenue. The company now says its user base has reached 35 million.

Although updated revenue figures were not shared, the growth highlights continued demand for AI tools that organize workplace information.

At the same time, competitors like Read AI, Fireflies.ai, and Fathom are expanding their capabilities beyond transcription. Many are following similar strategies by turning meeting assistants into cross-platform intelligence systems.

This trend suggests enterprise search could become a defining feature of next-generation productivity software.

Conclusion

With enterprise search powered by MCP integrations and a persistent contextual assistant, Otter is moving closer to becoming a unified interface for workplace knowledge rather than just a meeting transcription service.