Otter’s new feature lets users search across their enterprise tools
Otter has launched a new enterprise search feature that allows users to connect and query data from various external applications. This move aims to enhance its functionality as a productivity tool by integrating data from sources like Gmail, Google Drive, and Salesforce. The company continues to evolve its offerings, responding to customer preferences for transparency in meeting notes and the use of AI assistants.
- ▪Otter's new feature enables users to search across data from multiple enterprise tools.
- ▪The app can now connect to services like Gmail, Google Drive, Notion, Jira, and Salesforce.
- ▪Otter has redesigned its AI assistant to be consistently present across the interface.
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| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/04/28/otters-new-feature-lets-users-search-across-their-enterprise-tools/ |
| Publication time | Tue, 28 Apr 2026 12:00:00 +0000 |
| Retrieval time | 2026-04-28T12:04:31.909Z |
| Last seen | 2026-04-28T12:04:31.909Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 3NzotDA4s-gV |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
AI meeting notetaker app companies have realized that transcribing meetings and providing summaries alone is not enough to justify their business models and valuations. They now want the apps to act as a full workspace where users bring in data from different sources, search across all of it, and make decisions about their business. Following notetakers like Read AI, Fireflies.ai, and Fathom, Otter is now launching enterprise search by acting as a Model Context Protocol (MCP) client. That means it can connect to and pull data from outside apps and services using a common standard that AI tools are rapidly adopting. Otter has been around for nearly a decade now, but it has been making moves toward becoming an enterprise productivity tool in the last few months.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.