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Glean vs Perplexity
A plain-English comparison to help you choose between them.
The whole decision is which corpus holds your answer. Glean indexes the organisation's applications and answers with citations, showing each person only what their permissions allow, so the knowledge sprawl across drives, wikis, tickets and chats becomes one queryable surface. Perplexity answers from the open web with numbered, checkable citations, and Deep Research turns autonomous reading across hundreds of sources into a structured report. Pick Glean when the answer already exists inside the company and nobody can find it, and Perplexity when it exists in the world and you need it current and cited; most organisations of any size eventually want both, because those are genuinely different questions.
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Side by side
- Summary
Glean is enterprise search that respects who you are: it indexes the organisation's applications and answers questions with citations, showing each person only what their permissions allow. The knowledge sprawl across drives, wikis, tickets and chats becomes one queryable surface.
Its Work AI direction builds on that foundation: assistants and agents grounded in company knowledge, with the permission-awareness that makes enterprise deployment survivable.
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It is bought at organisational scale: the indexing, connectors and governance assume hundreds of seats and a real IT function.
- Best for
- Search across the organisation's applications at once
- Permission-aware answers that respect access rights
- Cited answers grounded in company content
- Assistants and agents on the same governed foundation
- Organisations drowning in knowledge sprawl
- Cost
- Enterprise
- Ease
- Openness
- Hosted service
- Data
- Glean indexes your company systems with permissions preserved; its security model is the product, review it accordingly.
- Summary
Perplexity is an answer engine: ask, and it returns a direct, current answer with numbered citations to the sources it used. Follow-ups keep context, Deep Research turns minutes of autonomous reading across hundreds of sources into a structured report, and uploaded files join the web as evidence.
It has grown into a research platform. Spaces organise ongoing work, research can emerge as slides, spreadsheets or pages rather than prose alone, and the Comet browser carries the same engine into the page you are reading, up to agent-driven multi-step tasks.
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The free tier answers with citations every day; paid tiers add the stronger models, unlimited deep work and the agentic extras. It is the tool for finding and verifying, more than for long-form creation.
- Best for
- Direct answers with numbered, checkable citations
- Deep Research reports built from hundreds of sources
- Staying current on fast-moving topics
- Research organised into Spaces with files alongside the web
- Turning research into shareable deliverables
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- For confidential workflows use Enterprise (SOC 2 Type II, never trains on customer data, automatic file deletion); verify each cited figure against the linked source before acting.
Pricing
- Glean
Custom·Custom
Prices as of August 2026.
- Glean Core Suite
- Price on applicationno list price published
- Glean Model Hub Usage
- Price on applicationusage billed at API rates
- Perplexity
Free·$20·$200
Prices as of August 2026.
- Free
- Free
- Pro
- $20per month
- Max
- $200per month
By area
Where each one pulls ahead, area by area.
| Area | Glean | Perplexity |
|---|---|---|
| By job | ||
| Legal & compliance | Glean gives a regulated team retrieval it can defend in review, though it finds and answers rather than holding the legal record | Perplexity is useful for orientation and never for filings: citations to the open web are not citations to law, which makes it the tool for assembling background before briefing counsel |
| By task | ||
| Search & knowledge retrieval | Glean is specifically the enterprise's internal estate, which is a different problem from citation-first web research rather than a weaker version of it | Perplexity searches the world |
Common questions
Can Perplexity cover internal knowledge with uploaded files?
Partly, and the limit matters. Uploaded files join the web as evidence and Spaces organise ongoing work, which covers a project's documents well. What it cannot do is span the estate under each person's permissions, which is Glean's entire architecture: connectors, indexing and permission-aware answers across every application at once, not a folder someone remembered to upload.
What scale does Glean assume before it is worth it?
Enterprise scale, explicitly. The connectors, indexing and governance assume hundreds of seats and a real IT function, and the procurement matches. Below that, workspace-native AI covers most of the need at a fraction of the ceremony, and a small team buying Glean is buying an operating model rather than a search box.
What quality problem do both share?
Neither invents good sources. Glean's answers inherit the estate's hygiene, so stale documents produce well-cited stale answers. Perplexity's citations lower the risk of invention without removing it, since sources can be misread or thin. In both cases the citation is an invitation to check rather than a guarantee, and load-bearing claims still deserve the click.
Related comparisons
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Tool facts last checked August 2026