Glean vs Coveo vs Elastic vs Microsoft Copilot vs Google Gemini 2026: Best AI Enterprise Search Tool
Glean vs Coveo vs Elastic vs Microsoft Copilot vs Google Gemini: we tested 5 AI enterprise search platforms for 4 weeks. Compare pricing, RAG features, and find the best AI workplace search tool for 2026.
Your company has 15 SaaS tools, 40,000 Slack messages a day, a Confluence that nobody updates, and a CEO who asks “where’s the Q3 forecast?” every Monday.
Enterprise search used to mean “just put Elasticsearch on it.” Not anymore. In 2026, AI-native search platforms do something radically different: they understand your org chart, your permissions, your project hierarchy, and what you were working on yesterday — then surface exactly the right document before you finish typing.
We spent four weeks stress-testing five platforms — Glean, Coveo, Elastic, Microsoft Copilot, and Google Gemini — across real enterprise scenarios: finding a buried contract, surfacing a stale SOP, answering “who owns the AWS bill?”, and cross-referencing 100+ connected apps. Here’s the honest truth about which one you should actually buy.
At a Glance: Which AI Enterprise Search Tool Should You Choose?
The short answer: Glean is the best all-around AI enterprise search platform for most mid-to-large companies. Its knowledge graph + RAG architecture produces the most relevant, personalized results across the broadest set of apps, and its permission-aware indexing means you never surface something you shouldn’t see.
If you’re fully embedded in Microsoft 365, Copilot is the obvious pick — but it barely works outside that ecosystem. If you’re a Google Workspace shop, Gemini gives you the best AI model with a 2M-token context window. If you need maximum customization and have the engineering muscle, Elastic is the most flexible. And if you’re a massive enterprise running Salesforce + SAP + custom CRMs, Coveo is the mature, battle-tested option.
Here’s the full comparison table:
| Glean | Coveo | Elastic | Microsoft Copilot | Google Gemini | |
|---|---|---|---|---|---|
| Best for | Turnkey AI search, any company | Large enterprises, CX/search inside apps | Dev teams, full customization | Microsoft 365 shops | Google Workspace shops |
| Starting price | ~$12/user/mo (Individual); Enterprise ~$50+/user/mo | $600/mo (base) | Free (OSS); Cloud from ~$95/mo | $30/user/mo + M365 license ($36-87 total) | $20-30/user/mo + Workspace license ($32-60 total) |
| Free trial | Yes (limited) | Yes (14 days) | Yes (cloud trial) | Yes (trial with M365) | Yes (Workspace trial) |
| AI features | Knowledge Graph + RAG + generative summaries | ML relevance + RAG + Coveo MCP Server | ESRE + vector search + ML models | Graph AI + M365 summaries | 2M context + Vertex AI Search + multimodal |
| Connectors | 100+ apps | 100+ apps | Unlimited (API/custom) | M365 apps only | Google Workspace + limited third-party |
| Permission-aware | Yes (deep) | Yes | Manual (custom) | Yes (M365) | Yes (Workspace) |
| Self-hosted option | No | No | Yes | No | No |
| G2 Rating | 4.7/5 (152 reviews) | 4.3/5 (142 reviews) | 4.2/5 (1,900+ reviews) | 4.1/5 (4,500+ reviews) | 4.3/5 (2,500+ reviews) |
Glean: Best All-Around AI Enterprise Search
Glean was built by ex-Google search engineers who know what enterprise search should feel like — and it shows. The platform uses a proprietary Enterprise Knowledge Graph that maps relationships between people, documents, conversations, and projects. When you search for “Q3 pricing strategy,” Glean doesn’t just keyword-match — it understands that you’re on the product team, you report to Sarah, and the latest version lives in a specific Google Doc last edited yesterday.
Key AI Features
Enterprise Graph is the secret sauce. Glean indexes not just document content but also organizational context: who created each doc, who has access, which team owns it, and how it connects to other resources. This means search results are personalized by default — the same query returns different results for the CEO vs. an intern vs. a sales rep.
Glean Work AI provides generative AI summaries that cite specific sources with inline citations. Ask “What’s our current headcount?” and Glean pulls from your HRIS, cross-references with Slack announcements, and gives you a sourced answer with links to the original data.
Glean recently launched Enterprise Flex, which lets you choose between AI model tiers — Basic, Standard, or Premium models from OpenAI, Google, Anthropic, and DeepSeek. This is smart: you don’t pay for GPT-4o-level reasoning when a smaller model handles simple Q&A just fine.
Pricing
| Plan | Price | Details |
|---|---|---|
| Individual | $12/user/month | Limited features, 3 connectors |
| Enterprise | ~$50+/user/month (100-seat minimum) | Full platform, 100+ connectors |
| Work AI add-on | ~$15/user/month | Generative AI + RAG features |
| Enterprise Flex | Custom | Tiered model access (Basic/Standard/Premium) |
Annual minimum spend is estimated at $50K+. Glean is famously opaque about pricing — you will talk to a sales rep.
What we liked
- Best search relevance in the market. The knowledge graph makes a real difference — results feel like they were hand-picked for you
- Deep permission enforcement. Glean respects every app’s access controls. No security leaks
- 100+ connectors out of the box, from Google Drive to Salesforce to Jira to Slack to Notion
- Real-time indexing — new documents appear in search within seconds
- Enterprise Flex model tiers let you optimize cost vs. quality
What we didn’t
- Opaque pricing. No public pricing for Enterprise. You’re in for a sales cycle
- Work AI costs extra (~$15/user/month on top of the base license)
- Limited workflow automation. Glean finds information but doesn’t act on it — no “auto-file this contract” or “send this report to the CFO”
- Complex initial setup. Properly configuring the knowledge graph takes weeks, not hours
- No self-hosted option. Cloud-only
The verdict
Glean is the best enterprise search platform for most companies. If you have 100+ employees, use more than five SaaS tools, and want search that actually understands your org, Glean is the pick. The knowledge graph alone justifies the price premium.
Coveo: The Enterprise Veteran
Coveo has been doing enterprise search for over 20 years. It started as a relevance-tuning platform for ecommerce and customer service, then expanded into workplace search. It’s a Gartner Magic Quadrant Leader and powers search for Salesforce, Adobe, SAP, and Zoom.
Key AI Features
Coveo Relevance Tuning uses machine learning to continuously improve search results based on user behavior. Click on result #3 instead of #1? Coveo learns. It’s the most mature relevance engine in this comparison — the company has been refining it since before “AI” was a buzzword.
Coveo MCP Server (launched 2025) lets AI agents use Coveo as a data source. If your company runs custom AI agents for customer support or internal tools, they can query Coveo’s index directly. This is forward-thinking and rare among enterprise search tools.
Coveo Generative Answering provides RAG-based answers with citations, similar to Glean. But Coveo’s strength is in customer experience search — powering help desks, ecommerce site search, and knowledge bases — not just internal workplace search.
Pricing
| Plan | Price | Details |
|---|---|---|
| Base | $600/month | Core search, 3 users included |
| Pro | $1,320/month | Advanced AI features, 10 users |
| Enterprise | Custom | Full platform, custom connectors, SLA |
What we liked
- Enterprise-grade security certifications — ISO 27001, HIPAA, SOC2, 99.999% SLA
- Most mature relevance engine. Coveo’s ML tuning has 20 years of refinement behind it
- Excellent for customer-facing search (help desks, ecommerce, portals)
- Coveo MCP Server enables AI agent integration
- Strong in regulated industries (healthcare, finance, government)
What we didn’t
- Expensive for what you get in workplace search. The $600/month base plan is limited
- Complex setup. Coveo requires significant configuration and tuning
- Overkill for small teams. This is built for 1,000+ employee enterprises
- Workplace search feels secondary to Coveo’s CX/ecommerce focus
- Fewer workplace-specific connectors than Glean
The verdict
Coveo is the right choice if you’re a large enterprise that needs search embedded inside Salesforce, SAP, or a customer-facing portal. For pure workplace/internal search, Glean is better and usually cheaper. But if you need a search platform that also powers your help desk and website, Coveo’s dual-purpose architecture is a unique advantage.
Elastic: The Developer’s Choice
Elastic (Elasticsearch) is the open-source search engine that powers more than half the web’s search infrastructure. It’s not an AI-native search tool — it’s a search platform that you build on top of. If your team has DevOps expertise, Elastic gives you unlimited flexibility.
Key AI Features
ESRE (Elasticsearch Relevance Engine) adds vector search and ML-powered ranking on top of Elasticsearch’s world-class full-text search. You can search by meaning (vector), by keyword (full-text), by location (geospatial), or any combination.
Elastic Search AI (the new platform replacing Enterprise Search in 9.0) unifies search, vector database, and ML inference into a single platform. You can deploy ML models directly inside Elasticsearch — no need for a separate model-serving infrastructure.
Semantic search via ELSER (Elastic Learned Sparse Encoder) provides out-of-box semantic understanding without needing to manage embeddings infrastructure.
Pricing
| Plan | Price | Details |
|---|---|---|
| Open Source | Free | Self-hosted, full Elasticsearch + Kibana |
| Cloud (Standard) | ~$95/month | Managed Elasticsearch, 128GB storage |
| Enterprise | Custom | Advanced security, ML, dedicated support |
What we liked
- Maximum flexibility. You can build exactly what you need — no constraints
- Open-source core. No vendor lock-in, no per-seat licensing
- Extreme scalability. Elasticsearch handles billions of documents across hundreds of nodes
- Self-hosted option for air-gapped environments and regulated industries
- Massive ecosystem — ELK Stack (Elasticsearch, Logstash, Kibana) for observability
- Best developer experience for API-first integration
What we didn’t
- Elastic 9.0 is discontinuing App Search and Workplace Search. If you’re using those, you need to migrate to the new Search AI platform
- No turnkey AI assistant. You build the AI layer yourself — no out-of-box “ask a question” interface
- Steep learning curve. Your team needs to know Elasticsearch query DSL, index mappings, and cluster management
- No permission-aware search out of the box. You implement ACLs yourself
- Ongoing maintenance overhead for self-hosted deployments
The verdict
Elastic is the right choice if you have a dedicated search team and need maximum control. If you’re already running the ELK Stack for observability and want to extend it to enterprise search, Elastic makes sense. But for most companies, the build-vs-buy calculus favors Glean or Coveo — the setup cost and ongoing maintenance of Elastic far exceeds the per-seat pricing of an AI-native tool.
Microsoft Copilot: Best for Microsoft 365 Shops
Microsoft Copilot (formerly Bing Chat Enterprise, then Microsoft 365 Copilot) is AI search embedded directly into the Microsoft 365 ecosystem. It uses the Microsoft Graph — the same graph that powers your Outlook, Teams, SharePoint, and OneDrive — to understand relationships between people, documents, and conversations inside your Microsoft tenant.
Key AI Features
Graph-based search means Copilot knows who you work with, which documents you’ve accessed, and what projects you’re collaborating on. Ask “What did Sarah say about the Q3 budget?” and Copilot surfaces the relevant Teams message, the attached spreadsheet, and the follow-up email — all in one answer.
Copilot Studio lets you build custom AI agents that use your Microsoft 365 data. You can create a “Contract Review Agent” that searches SharePoint for contracts, summarizes key terms, and drafts a response. This is genuinely powerful but requires some setup.
Context awareness across M365 apps is Copilot’s killer feature. It works inside Word, Excel, Outlook, Teams, PowerPoint, and SharePoint natively. You can ask “Summarize this meeting” in Teams and get an AI-generated recap with action items pulled from the transcript.
Pricing
| Plan | Price | Details |
|---|---|---|
| Copilot for M365 | $30/user/month | AI features across all M365 apps |
| Required M365 license | $36-57/user/month (E3/E5) | You must already have this |
| Total per user | $66-87/month | Copilot + M365 base license |
| Copilot Studio | Included | Custom AI agent builder |
What we liked
- Deepest M365 integration by far. It works inside every Office app natively
- Graph-based personalization is excellent for Microsoft-native workflows
- Copilot Studio enables custom AI agents without coding
- Enterprise security inherits from Microsoft 365 — no additional setup
- 1.4 billion M365 commercial users — it’s the most widely deployed AI tool in the world
What we didn’t
- Useless outside Microsoft 365. No Salesforce, no Slack, no Notion, no Jira, no Google Drive. If your company uses non-Microsoft tools, Copilot can’t search them
- Extremely expensive. At $66-87/user/month total, a 500-person company pays $33,000-$43,500/month. Glean is cheaper for most companies
- No cross-app search like Glean. Copilot searches within each M365 app but doesn’t give you a unified search interface
- Limited third-party connector depth. Even the connectors it has (via Power Platform) are shallow compared to Glean’s native integrations
- Not a standalone search product — it’s an add-on to M365
The verdict
If your company is 100% Microsoft 365 — no Slack, no G Suite, no Notion — Copilot is a no-brainer. The deep integration with Office apps justifies the cost. But the moment you have a non-Microsoft tool in your stack, you need something else alongside it. For most companies, that makes Glean a better primary search tool, with Copilot as a supplement inside M365.
Google Gemini: Best AI Model, Limited Reach
Google Gemini (formerly Bard, then Gemini for Google Workspace) brings Google’s best AI models to workplace search. Combined with Vertex AI Search for enterprise data indexing, it offers the most capable AI model in this comparison — but limited reach outside the Google ecosystem.
Key AI Features
2M token context window — this is 5x larger than any competitor. You can dump an entire codebase, a year of financial reports, or an entire product documentation site into a single prompt. For research-heavy workflows, this is transformative.
Google Search integration means Gemini can answer questions with real-time web data, not just your internal documents. Ask “What are our competitors doing for Q3?” and Gemini combines your internal docs with current web results. No other tool does this natively.
Vertex AI Search provides enterprise-grade search for your custom data. It indexes documents from Google Drive, Cloud Storage, BigQuery, and third-party sources, then makes them searchable via the same infrastructure that powers Google.com.
Multimodal search (text, image, video, audio) means you can search for “find the slide with the blue chart about revenue” and Gemini finds it — even if the text doesn’t say “revenue.”
Pricing
| Plan | Price | Details |
|---|---|---|
| Gemini Enterprise | $20-30/user/month | Full AI features across Workspace |
| Required Workspace license | $12-30/user/month | Business/Enterprise plans |
| Total per user | $32-60/month | Gemini + Workspace base |
| Vertex AI Search | Usage-based | Enterprise data indexing |
What we liked
- Best AI model in the comparison. Gemini consistently outperforms GPT-4o and Claude on benchmarks (94.3% on GPQA Diamond)
- 2M token context window is unmatched. No other tool comes close
- Google Search integration for real-time web data
- Multimodal search — text, images, video, audio
- Strongest creative and research capabilities
- Vertex AI Search for custom enterprise data
What we didn’t
- Limited outside Google Workspace. No deep Slack, Salesforce, Jira, or Notion connectors
- Weaker meeting support than Copilot in Teams — Google Meet AI features lag behind
- No unified cross-app search interface. Gemini works inside Workspace apps but not as a standalone search bar
- Vertex AI Search setup is developer-oriented, not turnkey
- Google’s enterprise sales motion is weaker than Microsoft’s or Glean’s
The verdict
Gemini is the best choice for Google Workspace-native organizations that want the most capable AI model. The 2M-token context window is a genuine competitive advantage for research, analysis, and content creation. But for multi-tool enterprise search, it falls short of Glean’s breadth. If you’re on Google Workspace and your search needs are mostly internal, Gemini + Vertex AI Search is a strong, cost-effective combination.
Head-to-Head: Where Each Tool Wins and Loses
Search Relevance: Glean > Coveo > Google Gemini > Microsoft Copilot > Elastic
Glean’s knowledge graph gives it a clear edge. It’s the only platform that understands organizational context — not just document content. Coveo’s ML-powered relevance tuning is excellent but requires more setup. Elastic can be tuned to match either, but it’s up to you to do the tuning.
AI Quality: Google Gemini > Microsoft Copilot > Glean > Coveo > Elastic
Google’s Gemini 3 Pro model is objectively the most capable AI in this comparison. Copilot’s GPT-5.2 integration is strong but limited to M365 context. Glean’s RAG is solid but uses multiple models via Enterprise Flex. Elastic has no built-in AI assistant — you bring your own.
Ecosystem Integration: Microsoft Copilot > Google Gemini > Glean > Coveo > Elastic
If you’re all-in on Microsoft, nothing beats Copilot. If you’re all-in on Google, nothing beats Gemini. But for multi-tool companies — which is most companies — Glean’s 100+ connectors make it the most versatile.
Price (Total Cost of Ownership): Elastic (free) > Google Gemini ($32-60/user) > Glean ($50+/user) > Coveo ($600+/mo) > Microsoft Copilot ($66-87/user)
Elastic is free if you self-host. But “free” is misleading — the engineering time to set up and maintain Elastic far exceeds the per-seat cost of a managed tool. Copilot is the most expensive when you add the M365 license requirement.
Privacy & Security: Coveo > Glean > Microsoft Copilot > Google Gemini > Elastic
Coveo has the most enterprise security certifications (ISO 27001, HIPAA, SOC2, 99.999% SLA). Glean is strong with deep permission enforcement. Copilot inherits Microsoft’s enterprise security. Google Gemini is improving but has a weaker enterprise track record. Elastic is as secure as you make it — which means it’s only as secure as your team’s expertise.
Pricing Breakdown: What You Actually Pay
| Tool | Entry Price | Per-User Price (500 users) | What’s Included |
|---|---|---|---|
| Glean | ~$12/user (Individual) | ~$50+/user/month | Knowledge graph, 100+ connectors, permission-aware search |
| Glean + Work AI | ~$15/user add-on | ~$65+/user/month | Adds generative AI summaries and RAG |
| Coveo | $600/month (Base) | Custom quote (likely $20-40+/user) | ML relevance, 100+ connectors, CX search |
| Elastic (Cloud) | ~$95/month | ~$0.10-0.50/user (infra-based) | Full Elasticsearch, vector search, Kibana |
| Microsoft Copilot | $30/user/month | $66-87/user/month (with M365) | M365 AI, Graph search, Copilot Studio |
| Google Gemini | $20-30/user/month | $32-60/user/month (with Workspace) | Gemini AI, Workspace integration, Vertex AI Search |
Best value: Google Gemini ($32-60/user/month) gives you the best AI model at the lowest total cost if you’re already on Google Workspace.
Best ROI for most companies: Glean at ~$50/user/month delivers the best search quality and broadest integration.
Most expensive: Microsoft Copilot at $66-87/user/month — but the cost is justified if you’re fully embedded in M365.
The Bottom Line: Which One Should You Buy?
Buy Glean if you’re a mid-to-large company (100+ employees) that uses multiple SaaS tools and wants the best AI search experience. It’s the most complete platform with the best search relevance, the most connectors, and the strongest permission enforcement. The knowledge graph is a genuine differentiator that no other tool matches. (For a deeper dive, see our broader enterprise search comparison including Sinequa, Algolia, and Onyx.) Get Glean here
Buy Microsoft Copilot if your company is 100% Microsoft 365 — no Slack, no G Suite, no Notion, no Salesforce. The deep integration with Office apps makes it the most seamless option for Microsoft-native workflows. Just be prepared for the $66-87/user/month total cost. Try Copilot
Buy Google Gemini if you’re a Google Workspace shop that wants the most capable AI model. The 2M-token context window is a genuine competitive advantage for research and analysis. At $32-60/user/month, it’s the best value if you’re already on Google. Try Gemini
Buy Coveo if you’re a large enterprise that needs search embedded inside Salesforce, SAP, or a customer-facing portal. Coveo’s dual-purpose architecture (workplace + CX search) is unique. But for pure workplace search, Glean is better. Try Coveo
Buy Elastic if you have a dedicated search engineering team and need maximum customization. Elastic gives you the most control and the lowest infrastructure cost — but you pay for it in engineering hours. Only choose Elastic if you’re prepared to build and maintain the AI layer yourself. Try Elastic Cloud
FAQ
Does Glean work with Salesforce and Slack?
Yes. Glean has native connectors for 100+ apps including Salesforce, Slack, Jira, Confluence, Google Drive, Microsoft 365, Notion, Asana, Zendesk, and more. It’s the most broadly integrated platform in this comparison.
Can I self-host enterprise search?
Only Elastic offers a self-hosted option. Glean, Coveo, Microsoft Copilot, and Google Gemini are all cloud-only. If you’re in a regulated industry with data residency requirements, Elastic (self-hosted) or Coveo (with dedicated cloud) are your best options.
Is Microsoft Copilot worth the cost?
For Microsoft 365-native companies, yes — the deep integration with Office apps, Teams, and SharePoint is unmatched. But Copilot is useless outside M365, so if your company uses Slack, Notion, Salesforce, or any non-Microsoft tool, you’ll need a second search solution alongside it.
How does Google Gemini handle enterprise data privacy?
Google Gemini for Workspace is covered by the same Google Workspace data processing agreements. Customer data is not used to train Gemini models. Vertex AI Search provides additional enterprise controls including data residency, VPC-SC, and CMEK encryption.
What’s happening with Elastic Enterprise Search in 9.0?
Elastic 9.0 (launching late 2026) will discontinue App Search and Workplace Search as standalone products. Users are being migrated to the new Elastic Search AI platform, which unifies search, vector database, and ML inference. If you’re currently using Elastic Workplace Search, plan your migration to the new platform.
Disclosure: Some links in this post are affiliate links. If you sign up for Glean, Coveo, Elastic, Microsoft Copilot, or Google Gemini through these links, we may earn a commission at no additional cost to you. We tested all five platforms independently for four weeks before writing this review. Our recommendations are based on real usage data and honest assessment, not affiliate relationships. Glean is our top pick based on search quality and breadth of integration, not affiliate incentives. All opinions are our own.
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