Glean vs Microsoft Copilot: Enterprise Search vs AI Assistant (2026)
Glean ($200M ARR, $7.2B valuation) leads on cross-system enterprise search across 100+ connectors. Microsoft 365 Copilot leads on native productivity inside Office apps. Neither completes business workflows. Here's what each does well, where each falls short, and what the adoption data actually shows.
Glean ($200M ARR, $7.2B valuation) and Microsoft 365 Copilot (AI assistant embedded in Office, $30/user/month add-on) both help knowledge workers find and use company information. Glean leads on cross-system search depth across 100+ connectors; Copilot leads on native workflows inside Microsoft 365. They solve different problems — and most enterprises evaluating them are comparing the wrong things.
Glean vs Microsoft Copilot: What Each Does
Glean and Copilot are not competing products in the conventional sense. They sit in different categories, with different architectures, different use cases, and different failure modes. Understanding what each actually does is the starting point for any honest comparison.
Glean is an enterprise search and knowledge platform. It connects to 100+ enterprise tools — Confluence, Slack, Google Drive, SharePoint, Salesforce, Jira, GitHub, ServiceNow, and many more — indexes the content, and lets employees search across everything with natural language. Its Enterprise Graph understands organizational context, permissions, and relationships between content. The result: one search bar that covers your entire tool stack.
Microsoft 365 Copilot is a productivity assistant embedded inside Microsoft's application suite. It lives in Outlook, Teams, Word, Excel, and PowerPoint. It helps individual employees work faster within those specific tools: summarize email threads, draft documents, analyze spreadsheets, generate presentations, recap meetings. It doesn't reach outside the Microsoft ecosystem.
The overlap is narrow. Both can surface information. Both use AI to generate responses. But Glean's scope is cross-system and its focus is retrieval; Copilot's scope is Microsoft-only and its focus is task assistance within apps you already have open.
Where Glean Is Stronger
Cross-system search is Glean's defining capability. Instead of employees searching Confluence, then Slack, then Drive, then SharePoint separately, Glean gives them one search bar that covers everything. The Enterprise Graph understands permissions so employees only see what they're authorized to access, and it understands relationships between content so results are contextually relevant, not just keyword matches.
AI-generated answers from company knowledge. Ask "what's our pricing for enterprise clients?" and Glean synthesizes an answer from across your internal systems, citing sources. This saves real time for knowledge workers who need to find institutional knowledge fast.
Tool-agnostic architecture. Glean works whether you run Google Workspace, Microsoft 365, or a mix. It indexes both. This is a structural advantage over Copilot, which only works inside Microsoft's ecosystem. Enterprises with heterogeneous tool stacks have no equivalent option from Microsoft.
Traction is real. Glean hit $200M ARR in December 2025, doubling from $100M in nine months (Fortune, December 2025). The $7.2B valuation came with a $150M Series F in June 2025 (TechCrunch, June 2025). Customers span 27+ countries. The enterprise search use case is validated at scale.
Expanding into agents. Glean is adding 100+ native actions across connected apps, an agent builder, sub-agent orchestration, and MCP host support. These extend Glean beyond pure search into taking actions within connected applications.
Where Microsoft Copilot Is Stronger
In-context assistance inside Microsoft apps is Copilot's genuine value. Summarize a long email thread in Outlook. Draft a document in Word from bullet-point notes. Analyze a dataset in Excel with natural language. Generate a presentation from a Word document. For employees who live inside Microsoft 365 all day, these features reduce individual friction.
Meeting intelligence. Copilot's Teams integration — summarizing meetings, tracking action items, catching employees up on meetings they missed — is among its strongest features. If your organization runs heavily on Teams, this saves real time that compounds across hundreds of meetings per month.
Zero deployment friction for Microsoft shops. If you're already paying for Microsoft 365, adding Copilot is a license activation. No new tool to deploy, no connectors to configure, no separate search index to build. For IT teams already managing Microsoft environments, that simplicity has real value.
Enterprise security inheritance. Microsoft's security, compliance, and data residency infrastructure is difficult to match. For regulated industries already committed to Microsoft's stack, Copilot inherits that trust without requiring a separate compliance evaluation.
Where Glean Falls Short
It finds information. It doesn't complete the work.
This is the fundamental limitation. Glean helps employees find answers faster. Once they have the answer, the work is still manual. If a sales rep finds the right competitive intelligence through Glean, they still need to synthesize it, update the CRM, draft the outreach, validate the contact data, and execute the campaign. Glean handles step one. Steps two through ten are untouched.
Per-seat pricing scales with headcount, not value.
Glean charges per user, starting around $50/user/month, with generative AI features as an add-on (~$15/user/month extra) and a mandatory 10% support fee. For a 1,000-person organization, that's $600K–780K annually before you've automated a single workflow. The cost scales with how many people search, not with how much value AI delivers.
Requires internal resources to maintain.
Glean recommends 1–2 dedicated FTEs to manage connectors, permissions, and index synchronization. That's reasonable for enterprise software, but it's ongoing cost and effort that compounds as your tool stack evolves.
Agent capabilities are built on a search-first foundation.
Glean is adding agents, and the progress is real. But there's a structural difference between a platform that started as search and adds agent actions on top, and a platform designed for deep autonomous process execution from day one. The depth of workflow automation Glean's agents can handle is bounded by an architecture designed around search, knowledge, and content.
Where Copilot Falls Short
Limited to Microsoft 365.
This is the most significant structural limitation. Copilot can't search your Salesforce, Confluence, Slack, custom databases, or anything outside Microsoft's ecosystem. Most enterprises run 50–200+ SaaS tools. Copilot sees a fraction of them. For organizations with heterogeneous tool stacks, this isn't a minor gap — it means Copilot is functionally invisible to most of the company's knowledge.
Adoption has been persistently underwhelming.
As of Microsoft's Q2 FY2026 earnings call (January 2026), just 15 million users had purchased full Copilot licenses out of 450 million Microsoft 365 commercial subscribers — a 3.3% conversion rate after two years on the market (Microsoft Q2 FY26 earnings; Directions on Microsoft, January 2026). A 2025 Gartner survey found only 6% of enterprises had successfully moved generative AI projects — including Copilot — beyond the pilot phase and into production. Only 16% of Copilot pilots transitioned to production deployment, per Gartner's "State of Microsoft 365 Copilot" report (October 2024, reference G00820869). The typical pattern: leadership approved the licenses, IT rolled them out, usage spiked in week one, and by month three adoption had plateaued.
It assists individuals. It doesn't transform processes.
Copilot helps a person draft an email, summarize a document, or analyze a spreadsheet. Those are individual tasks. The business processes that actually drive revenue, retention, and efficiency require collecting data from multiple systems, validating it, making decisions, handling exceptions, routing work, and executing actions across systems. Copilot doesn't reach any of that.
$30/user/month adds up fast for uncertain ROI.
For a 5,000-person organization, that's $1.8M annually. Many enterprises are struggling to justify that spend against the actual productivity gains observed. Drafting emails faster is valuable. It's hard to tie it to revenue or cost reduction at the business process level.
Glean vs Microsoft Copilot: Head-to-Head Comparison
| Dimension | Glean | Microsoft Copilot |
|---|---|---|
| Core strength | Cross-system enterprise search and knowledge | Individual productivity inside Microsoft 365 |
| Search scope | 100+ enterprise apps (Slack, Confluence, Salesforce, Drive, SharePoint, Jira, ServiceNow, etc.) | Microsoft 365 only (Outlook, Teams, SharePoint, OneDrive) |
| Works outside Microsoft? | Yes — tool-agnostic, indexes any connected system | No — Microsoft 365 ecosystem only |
| AI assistant | AI answers sourced from company knowledge across all connected systems | AI assistance within Microsoft app context |
| Agent capabilities | 100+ native actions, agent builder, sub-agent orchestration, MCP host | Limited to Microsoft 365 tasks |
| Deployment | SaaS, connect and index data sources (1–2 FTE to maintain) | License activation within existing Microsoft 365 |
| Pricing | ~$50/user/month + ~$15/user/month AI add-on + 10% support fee | $30/user/month add-on to M365 E3/E5 |
| Enterprise adoption | $200M ARR (Dec 2025), $7.2B valuation, 27+ countries | 3.3% conversion rate (15M of 450M eligible); 6% pilot-to-production |
| Completes business workflows? | No (search + adding agent actions within connected apps) | No |
| Security | SOC 2 Type II, granular permission-aware indexing | Microsoft enterprise security stack |
| M365 license required? | No | Yes (E3 or E5) |
Glean vs Microsoft Copilot: Shared Limitations
Here's the pattern that plays out repeatedly across enterprise AI deployments.
An enterprise deploys Copilot for individual productivity. Usage plateaus. They add Glean for better enterprise search. Employees can find things faster. Then leadership asks the question that matters: "has AI changed any business outcomes?" And the answer is usually no.
The emails are drafted faster. The information is found faster. The meetings are summarized. But the sales pipeline didn't grow. Support resolution times didn't improve. Customer onboarding didn't speed up. Compliance reviews still take weeks. The processes that actually drive the business are untouched, because both Copilot and Glean are tools that help humans work faster at individual tasks. Neither completes the multi-step, multi-system workflows where enterprise value actually sits.
This isn't a criticism of either tool. Both are good at what they do. The gap isn't a product gap — it's a category gap.
What enterprises actually need is AI that completes work, not just assists with it. AI that collects data from five systems, validates it against business rules, makes a decision within guardrails, handles the exception, escalates when uncertain, and executes the action. That's not search. That's not an assistant. That's an agent.
Beyond Search: What Neither Platform Does
Neither Glean nor Copilot was designed to execute multi-step business workflows autonomously. Understanding where this ceiling sits — and why — is important for enterprises that have deployed one or both and found the business impact they expected hasn't materialized.
Glean's ceiling: Glean retrieves and synthesizes information. Its agent capabilities are real and expanding, but they're built on a retrieval-first architecture. Glean agents can take actions within connected apps, but the depth of autonomous workflow execution — making decisions, handling exceptions, routing work across systems — is bounded by that foundation.
Copilot's ceiling: Copilot assists individuals within Microsoft apps. It can draft, summarize, and analyze within that context. It cannot reach external systems, make decisions autonomously, handle exceptions across workflows, or execute actions in non-Microsoft tools.
The shared ceiling is the same: both tools assume a human remains in the loop for every decision and every action. That assumption is correct for the individual productivity use case they were designed for. It's the wrong assumption if you're trying to automate business processes.
Where Nexus Fits: The Category Beyond Both
Nexus is an autonomous agent platform paired with Forward Deployed Engineers who embed with your team. It's a different category from both Glean and Copilot.
Nexus agents don't search and present. They complete entire business workflows end-to-end. The same agent that retrieves data from your CRM also validates it against your ERP, communicates with the customer via WhatsApp, updates the support ticket, makes a decision about next steps, and escalates complex cases with full context. One workflow, multiple systems, autonomous execution.
Key differences from both Glean and Copilot:
| Glean | Copilot | Nexus | |
|---|---|---|---|
| What AI does | Finds information across systems | Assists individuals in Microsoft 365 | Completes entire workflows autonomously |
| Who does the work | Employee (after finding info) | Employee (after getting AI help) | Agent (with human oversight for exceptions) |
| Systems accessed | 100+ (read-focused, adding write actions) | Microsoft 365 only | 4,000+ (full read/write/execute) |
| Decision-making | Surfaces information for human to decide | Drafts for human to review | Makes decisions within guardrails, escalates when uncertain |
| Exception handling | None (human handles) | None (human handles) | Agent adapts, escalates with full context |
| Pricing model | Per-seat ($50+/user/month) | Per-seat ($30/user/month) | Per-agent (tied to value delivered) |
| Support model | Self-serve with 1–2 FTEs | Standard Microsoft support | Forward Deployed Engineers embedded in your team |
What it looks like in practice:
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Orange Group (multi-billion euro telecom): Business team built autonomous customer onboarding agents. The agent doesn't just find customer data — it collects information in real-time, validates against backend systems, checks compatibility, routes unusual cases, escalates complex issues with full context. 50% conversion improvement. ~$6M+ yearly revenue impact. Deployed in 4 weeks. 90% autonomous. 100% team adoption.
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European telecom (13,000+ employees): Spent 6 months with Copilot Studio without delivering a single production use case. Deployed a dozen Nexus agents in the same timeframe. 40% support volume freed across millions of interactions.
Pricing that reflects value, not headcount: Nexus charges per agent, not per user. An agent that onboards thousands of customers costs the same regardless of employee count.
Decision Framework
Choose Glean if: Your primary bottleneck is employees struggling to find information across a heterogeneous tool stack, you're not locked into Microsoft's ecosystem, and the work gets done once people have the right information. Glean is a strong knowledge platform, and that's a real problem worth solving. It's particularly well-suited to organizations with many SaaS tools and no unified search layer.
Choose Copilot if: Your organization lives primarily inside Microsoft 365, you want individual productivity assistance within that ecosystem, and you have the appetite to manage the adoption curve. The 3.3% conversion rate and 6% pilot-to-production data suggest the ROI case is harder to make than the licensing ease implies — but for deeply Microsoft-committed organizations, the integration is genuinely tight.
Choose Nexus if: Your team already has access to information (through Glean, Copilot, or existing tools), and the real bottleneck is completing high-volume, multi-step workflows across systems. If AI hasn't delivered the business process transformation leadership expected, the issue likely isn't the search or assistant tool. It's that you need a different category of AI entirely.
The gap between Glean and Copilot is a product gap: different tools for different tasks. The gap between both of them and Nexus is a category gap: finding information vs. completing the work that information points to. No amount of improving search or adding assistant features closes a category gap.
Frequently Asked Questions
Is Glean worth deploying if you already have Microsoft 365 Copilot?
Yes, for most enterprises. Copilot only sees your Microsoft 365 data. If your organization also runs Slack, Salesforce, Confluence, Jira, GitHub, or any other SaaS tools, Copilot is blind to all of it. Glean fills that gap by indexing across your full tool stack. The tools solve different problems: Copilot assists inside Microsoft apps; Glean unifies search across everything. Many enterprises run both.
Does Microsoft 365 Copilot work with non-Microsoft tools like Salesforce or Jira?
Not natively. Copilot's search and AI capabilities are scoped to Microsoft 365 — Outlook, Teams, SharePoint, OneDrive, and other Microsoft apps. Microsoft offers Copilot connectors and Copilot Studio for extending into external systems, but these require custom development and have significant limitations compared to native functionality. For cross-system search, Glean is the stronger option.
How does Glean secure and index company data?
Glean is SOC 2 Type II certified. It uses permission-aware indexing, meaning the search index respects the access controls already set in each connected system — employees only see results from content they're authorized to view. Glean doesn't store raw documents; it indexes metadata and content for search purposes. Each connector uses OAuth or API tokens scoped to the minimum permissions required.
What Microsoft 365 license tier does Copilot require?
Microsoft 365 Copilot is available as an add-on at $30/user/month to Microsoft 365 Business Standard, Business Premium, E3, and E5 plans. It is not included in base plans. Some Copilot features (Copilot Chat) are available at lower tiers, but the full M365 Copilot experience — including Word, Excel, PowerPoint, Outlook, and Teams integration — requires the $30/user/month add-on.
Can Glean and Microsoft Copilot be used together?
Yes. They don't conflict and serve complementary purposes. Glean provides unified search across your entire tool stack including Microsoft 365. Copilot provides AI-assisted productivity within Microsoft apps. Enterprises that run both get cross-system knowledge retrieval from Glean and in-app productivity assistance from Copilot. The overlap is minimal; the combination is additive for organizations with heterogeneous environments.
Worth Exploring?
If your team has deployed Glean, Copilot, or both, and the business processes that drive revenue are still manual, it might be worth seeing what autonomous agents look like in production.
Every Nexus engagement starts with a 3-month proof of concept tied to measurable outcomes. Forward Deployed Engineers embed with your team from day one. You see results before committing. You can exit anytime.
100% of clients who started a POC converted to an annual contract. Every one.
