Compare · Dust
Dust alternative: cited, permission-aware search across your work apps
Dust is a strong AI platform for building assistants and agents on top of your company data, and teams who want to assemble custom workflows value that flexibility. The point people raise when they look at Dust alternatives is that they often just want the core outcome, one great search across every app with a trustworthy cited answer, without building and maintaining agents to get there.
One search · cited answers · permission-aware
Ask your company anything
InSearch searches across Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce in one query and returns a written answer with citations, only ever from sources you're allowed to see.
Searching connected apps
WorkingAnswer
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Interactive demo · sample data, no app connected
Every answer cited to its source documents · permission-aware · never trains on your data
InSearch is that, out of the box. It searches Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce in one query and returns a written answer with inline citations, with item-level permissions enforced at query time and no training on your data. There is nothing to assemble: you connect your apps and ask, and the cited, permission-aware answer is the product.
Dust leans toward building custom assistants, so the question is whether you want to assemble a stack or search what you already have, a trade-off we cover in RAG versus enterprise search. For the search-first approach see AI enterprise search, and for the assistant layer the AI knowledge assistant. For the head-to-head questions specifically, Dust vs GoSearch compares Dust against GoSearch, Zapier and Google Agentspace on prices verified this month.
Dust is a flexible platform for building AI assistants and agents on company data. InSearch is the focused, out-of-the-box outcome: cross-app, cited, permission-aware search with no agents to build.
Side by side
Dust vs InSearch, honestly
A fair look at what each does well. Both are capable tools. Here is where they differ.
| What matters | InSearch | Dust |
|---|---|---|
| Cross-app unified search | One query across Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce | Connects company data sources for assistants |
| Setup model | Connect apps and ask, the cited answer is the product | Build and configure assistants and agents |
| Cited answers | Written answer with inline citations to the exact source docs | Assistant responses over connected data |
| Permission-aware | Item-level permissions enforced at query time | Data access controls for connected sources |
| Training on your data | Never trains on customer data, encrypted under SOC 2 practices | Configurable model and data controls |
| Best suited for | Teams that want cited cross-app search without building agents | Teams that want to build custom AI workflows |
Comparison reflects general, publicly understood positioning. Capabilities change, so check each product for the latest.
Why teams pick InSearch
One cited, permission-aware search across every app
Outcome, not assembly
Connect your apps and ask; the cited, permission-aware answer works immediately, with no agents to build or maintain.
Cited and scoped
A written answer with inline citations, scoped to exactly what each person can see.
Never trained on
Your content answers your questions and is never used to train models.
Good questions
Dust vs InSearch, answered
More comparisons
See how InSearch compares
GoSearch alternative
Cited, permission-aware answers across every app.
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Find any answer at work with InSearch
One search across all your company apps, a clear cited answer, scoped to exactly what each person can see, and never trained on your data.
One search across every app · cited answers · permission-aware · never trains on your data