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Otter’s new feature lets users search across their enterprise tools

Ivan Mehta· ·4 min read · 0 reactions · 0 comments · 26 views
#ai#notetaking#productivity
Otter’s new feature lets users search across their enterprise tools
TL;DR · WeSearch summary

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.

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TechCrunch · Ivan Mehta
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Record

Original publisherTechCrunch
Canonical URLhttps://techcrunch.com/2026/04/28/otters-new-feature-lets-users-search-across-their-enterprise-tools/
Publication timeTue, 28 Apr 2026 12:00:00 +0000
Retrieval time2026-04-28T12:04:31.909Z
Last seen2026-04-28T12:04:31.909Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster3NzotDA4s-gV
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

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Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
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.

Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.

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