Glean

Verdict

Shortlist Glean when employees need to find and synthesize information across a fragmented company stack, and an IT team can own connector setup, permissions and ongoing freshness. Its value is a common retrieval layer over existing systems. The buying test is whether it returns the right current source to the right employee on your corpus.

Do not approve a rollout solely because the demo says it respects permissions. The current Salesforce connector documentation says field-level security is not enforced: if a user can see a record, indexed fields can appear in snippets or answers even when Salesforce restricts those fields. That exception can reverse the purchase decision unless sensitive fields are excluded and the configuration passes your access tests.

Use the workplace-search shortlist to compare operating models. A team mainly trying to author and verify policies should also evaluate Guru or Slite. For a bounded external reading pack, NotebookLM addresses a different job.

Decision snapshot

Search coverage is not just a connector count

The connector guide distinguishes indexed content, live retrieval and hybrid access. Indexed search uses content and permission snapshots collected earlier. Live tools can retrieve data or perform actions at request time; an MCP tool connection does not itself make an application's content searchable. Ask the vendor to demonstrate the exact records and attachments your staff need, not just an application's logo in a catalog.

The indexing limits are concrete: files larger than 64 MB receive metadata and permission indexing without their body. Extracted text is capped at 16.875 MB; spreadsheet indexing defaults to approximately 250,000 characters. OCR is available for certain connectors but does not remove the initial file-size ceiling. A result's presence therefore does not prove the complete file can ground an answer. Use a known passage near the end of a large document to test coverage; split files only where the divisions preserve useful context.

Permission changes and deletion need separate tests

The Salesforce guide documents both the field-level-security gap and incomplete Task sharing models. Field exclusion and object scoping can reduce exposure, but they require an explicit configuration decision. It also warns that controls on indexed data may not apply identically to live-fetched Salesforce content. Test both paths if enabled.

The crawl FAQ says deletion notifications typically remove content within minutes to hours. Missed events or sources without those notifications rely on a full crawl, whose interval can range from six hours to 28 days. That is a connector-dependent fallback, not a universal deletion SLA. For urgent sensitive items, the docs describe content hiding and support-assisted removal. Removing an entire connector instance is a different operation; not every connector supports deletion through the console.

Also separate employee access from administrative inspection. Glean's role matrix grants Sensitive Data Search to Super Admins and Sensitive Content Moderators. The first Super Admin requires written authorization through Glean support and is not assigned automatically. Review those roles alongside source permissions rather than assuming an ordinary-user test covers every privileged path.

Pricing: two published models, no public seat price

Checked October 20, 2026. Glean's former public pricing URL redirects to its homepage; the current documentation explains the meters but does not publish a seat dollar price. Obtain an order form that names the model, included usage, renewal terms and overage treatment. Community deal anecdotes are not a rate card.

The Flex terms count Thinking queries consuming more than 30 credits as multiple queries; follow-ups count separately. Automatic selection of a premium model can also incur credits. The published credit descriptions do not establish your dollar conversion, base pool or pack price. Ask for those figures before forecasting spend. On Core Suite, normal human-scale API usage is distinguished from machine-scale traffic, which can attract additional fees. An agent integration should therefore be included in the quote's workload assumptions.

Model privacy is not a blanket no-retention promise

The model-hosting documentation states that Glean's provider agreements prohibit training on Customer Data and generally use zero data retention. It also describes a Limited Data Retention model category enabled only after explicit agreement to an addendum. Confirm the selected model and deployment route. The terms separately make customers responsible for their own provider training and retention agreement when using their own model API key.

Glean itself retains operational records. Its feedback documentation describes different retention periods and destinations for feedback, support payloads and analytics. Conversation access by engineers requires an approved, time-limited debug operation; an additional Customer Approval Flow is available through support. Provider zero retention does not mean no chat history, no indexed copy or no support records. Resolve those requirements against the deployment's actual settings.

Community evidence: useful relevance, uneven synthesis

In a May 26, 2026 Reddit comment, PomeloThomas2665 reported choosing Glean after an evaluation at a roughly 200-person company, describing better relevance on their Notion, Slack and Drive corpus. The original post by sibraan_ described a different evaluation and weaker multi-source synthesis. These are unverified accounts from one discussion, not a controlled comparison; neither establishes present-day capability or general pricing.

The useful distinction is retrieval versus answer quality. For a pilot, score them separately: did search find the authoritative document, and did the generated answer preserve qualifications and cite supporting passages? Include a contradictory old policy, an inaccessible document and a recent permission revocation. Record the observed results and delays instead of treating a polished answer as a pass.

What to require before rollout

Give each connected source an owner and a small acceptance set. Require evidence for restricted fields, deleted files, stale copies, unsupported attachments and a question the corpus cannot answer. Set an escalation path for sync failures and decide who can inspect sensitive content. Expand only after the owner can explain a failed answer and the finance team can reconcile the pilot's AI charges.

For external discovery rather than company retrieval, use the AI research shortlist. This profile is source-based research reviewed October 20, 2026; vendor interface examples are not screenshots from an authenticated test, and no reliability or retrieval benchmark was run.

Related comparisons

• Glean vs Guru (2026)
• Glean vs Coveo (2026)

Related knowledge workflows

• How to Search Company Knowledge With AI (2026)
• How to Answer Questions Across Slack, Drive and Notion
• AI Knowledge Assistants for Employee Onboarding (2026)

Related workplace-search profiles

• Microsoft 365 Copilot Search
• Notion Enterprise Search
• Elastic AI Search
• Moveworks

Sources & further reading

• Glean enterprise search and vendor interface examples
• Glean connector access modes
• Glean crawl and deletion FAQ
• Glean indexing size limits
• Salesforce connector permission limitations
• Glean administrator roles
• Glean Core Suite pricing
• Glean Enterprise Flex pricing
• Model hosting and retention
• Glean feedback handling and support access
• Glean terms including customer model keys
• PomeloThomas2665 evaluation report on Reddit