CorpusIQ is now live in the ChatGPT app store.
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CorpusIQ is now live in the ChatGPT app store.
Find CorpusIQ in ChatGPTConnector directory
Both connect AI to the tools your work already lives in, and they take opposite approaches to your data. Glean crawls your apps and builds a persistent copy as a search index and knowledge graph. CorpusIQ skips the central index and queries your tools live, pulling only what a specific question needs, when it needs it. If your concern is how much of your data sits replicated in someone else's system, that architectural difference is the whole comparison.
Glean indexes your apps and keeps a fresh copy of your data as a search index and knowledge graph. CorpusIQ connects to your tools through your own authenticated access and pulls only what a question needs, in the moment. And if you run your own model, you can point it straight at your tools through CorpusIQ's MCP connection, with no vendor index sitting in the middle. Your data already lives across all your tools. Your answers should not have to live in one more copy of it.
| Feature | CorpusIQ | Glean |
|---|---|---|
| Core model | Connected AI platform. Queries your tools live at the moment of the question. | Enterprise search. Crawls and indexes your data, then answers over the index. |
| Where your data sits | Stays in your source tools. Nothing copied or cached. | Copied into a central search index, knowledge graph, and supporting databases. |
| Standing copy of your corpus | None. Each query pulls only the slice it needs, then nothing is retained. | A persistent index, kept fresh by continuous crawling. |
| Bring your own LLM | Direct MCP. Your own model, including a self-hosted one, queries your tools in place. | Model choice and bring-your-own-model-key, but the model reasons over Glean's stored index. |
| Permission model | Inherits your existing per-tool access, evaluated live at query time. | Mirrors source permissions into its own index, which has to stay in sync. |
| Deployment and footprint | Connect and go. No crawl phase, no index to provision. | Single-tenant cloud deployment plus crawl, index, graph, and database infrastructure. |
| Where you ask | ChatGPT, Claude, and Perplexity on one subscription, through MCP. | Glean's own assistant, plus Slack and Teams surfaces. |
| Connector breadth | 40+ business tools, focused on the systems most teams run on. | 100+ connectors, the larger catalog of indexed sources. |
| Setup | Self-serve. Authorize a connector and start asking. | Sales-led, with an implementation period before search is good. |
| Pricing | Solo $29.95/mo, Team $109.95/mo, Business $189.95/mo. 30-day free trial. | Not publicly listed. Sales-led, annual enterprise contract. |
| Best for | Teams who want answers across their tools without standing up an index. | Large orgs standardizing on one indexed knowledge layer across the whole company. |
Connector counts are not an apples-to-apples fight, and we will not pretend they are. Glean has more. Our point is not breadth. It is that we never copy what we connect to.
Glean is enterprise search. To search well it has to index. So it crawls your connected apps, converts the content into vector embeddings, builds a knowledge graph of people, content, and activity, and stores all of that in a search index and supporting databases. Then it crawls continuously to keep the copy current. That is not a flaw. It is how indexed search works, and Glean does it at a high level: single-tenant, permissions-aware, with zero-retention terms with its model providers.
But it means a full, queryable replica of your corpus now lives outside the tools that created it. Three things follow, and they are just true, not spin:
CorpusIQ takes the other road. There is no central index of your corpus. We connect to your tools through your own authenticated, read-only access, and when a question comes in, we pull just the slice that answers it, then move on. Nothing to crawl. No second permission system to keep in sync, because access is your tool's access, evaluated live. No standing replica sitting around between questions. CorpusIQ gets the answers without making another copy.
Glean is private-by-design within an index-and-store model: single-tenant cloud, permissions-aware retrieval, zero-retention agreements with model providers, sensitive-content detection. Strong. Just built around the assumption that your data should be copied and indexed.
CorpusIQ is private-by-design within a no-store model. We query in place through your existing connections and retain no standing index of your corpus. Read-only OAuth by design, zero customer data stored, customer data not used to train models, CASA Tier 2 certified by DEKRA, SOC 2 aligned. The strongest privacy posture is the data we never copy. If your security review weighs how much of your data is replicated outside source systems, CorpusIQ wins by construction.
Glean enforces permissions, but on a copy: the index has its own access layer that must mirror every source system and stay current as roles change. CorpusIQ inherits the permission you already have in the tool, at the time of the query. There is no second access model to drift out of sync.
Glean is a deployment: single-tenant cloud, connectors, crawlers, an index, a graph, databases. Powerful, and heavier. It is an IT-led rollout. CorpusIQ is connect-and-go. No crawl phase, no index to provision. You authorize a connector and start asking.
Glean has the larger catalog, 100+. We are at 40+ and growing. If you need the widest possible net of indexed sources in one platform, that is a genuine point for Glean and we say so. CorpusIQ covers the tools most teams actually live in.
Both let you choose your model, so model choice is not the wedge. Where the model points is. In Glean, your model reasons over Glean's index. CorpusIQ exposes a direct MCP connection, so your own model queries your tools in place. Glean gives your model a copy to read. CorpusIQ gives your model a live line to the source.
CorpusIQ runs inside ChatGPT, Claude, and Perplexity on one subscription through MCP. Glean has its own assistant plus Slack and Teams. The point is not where you ask. It is where the answer comes from: CorpusIQ queries your tools live rather than reading a stored copy.
Glean has an implementation period: the crawl and index have to populate before search is good, and it is sales-led. CorpusIQ is self-serve. Connect a tool, ask a question, done. No waiting on a crawl. 30-day free trial.
If that is you, Glean is a serious platform and you should look at it closely.
There is nothing to migrate, because there is nothing to un-index. You are not moving a knowledge base. You are connecting the tools you already use.
30-day free trial on every tier. Cancel anytime.
Yes, for teams who want AI across their tools without building a central index. The two solve the same problem from opposite directions. Glean indexes your data and answers over the copy. CorpusIQ queries your tools in place.
No. There is no central index of your corpus. CorpusIQ connects through your own read-only OAuth access and pulls only what a given question needs, then retains no standing replica. Zero customer data stored, and customer data is not used to train models. CASA Tier 2 certified by DEKRA, valid through March 5, 2027.
No, and we will not say it is. Glean is private-by-design within an indexed model: single-tenant, permissions-aware retrieval, zero-retention agreements with its model providers, sensitive-content detection. The difference is architectural. Glean secures a copy of your data. CorpusIQ avoids making the copy in the first place.
It uses the access you already have in each tool, evaluated at query time. There is no separate permission system to keep in sync, so there is no drift between a source app and an index. If you lose access at the source, you lose it here immediately, because there is no separate copy to forget to update.
Yes. CorpusIQ exposes a direct Model Context Protocol connection, so your own model, including a private or self-hosted one, can query your tools through CorpusIQ in place. Glean also supports model choice and a bring-your-own-model-key, but in Glean your model reads from Glean's stored index. With CorpusIQ there is no index in between.
Glean does, 100+ to our 40+. Our position is not breadth. It is that we never copy what we connect to. CorpusIQ covers the tools most teams actually live in and adds them on a data-driven model rather than hand-built one-offs.
30-day free trial. All 40+ connectors included. Query in place, store nothing.
Comparing alternatives? Also see CorpusIQ vs Microsoft Copilot and CorpusIQ vs Notion AI.
Skills, cross-tool patterns, and connector setup pages most relevant to operators reading this comparison.