Best Enterprise Search: What AI Recommends

If you mean employee-facing enterprise search across Slack, Google Drive, Microsoft 365, Salesforce, Jira, Confluence, etc., my 2026 shortlist is:

My recommendation

1. Glean — best overall

Glean is probably the strongest choice if your goal is “Google-like search for the entire company.” It combines enterprise search with an AI assistant, knowledge graph, and agents, and supports a broad set of business applications with permission-aware access. G2 currently shows 4.7/5 across 266 reviews, while Gartner shows 4.5/5 across 360 ratings. G2 Gartner

glean.com

2. Microsoft 365 Copilot Search — best for Microsoft shops

Microsoft's current Copilot Search provides unified search across Microsoft 365 and third-party sources, with 100+ connectors in the Microsoft catalog plus custom/ISV connectors. Microsoft Learn

microsoft.com

3. Coveo — best for sophisticated relevance

Coveo is particularly compelling if search isn't just an employee knowledge problem—e.g. you also need customer-service, ecommerce, or highly tuned search experiences. G2 currently rates it 4.3/5 from 142 reviews. G2

coveo.com

4. Elastic — best if you have a strong engineering team

Elastic gives you substantially more control over indexing, relevance, vector search, retrieval and infrastructure. It's a better choice when you want to build your own search/RAG platform rather than buy a turnkey workplace-search product. G2 currently lists Elasticsearch at 4.5/5 from 292 reviews in its enterprise-search category. G2

elastic.co

Bottom line

If I were running an enterprise RFP, I'd start with:

Glean vs. Microsoft Copilot Search vs. Coveo vs. Elastic

• Want the best turnkey employee search: Glean
• Already standardized on Microsoft 365: Copilot Search
• Need sophisticated search/relevance across customer + employee experiences: Coveo
• Want maximum technical control: Elastic

The biggest buying criterion isn't actually the AI model—it's connector coverage + permission synchronization + search relevance + freshness of indexed data. A brilliant AI assistant is useless if it can't reliably retrieve the document your employee is looking for.

If you tell me your company size, tech stack (Microsoft/Google/Slack/Salesforce/etc.), and approximate budget, I can narrow this to the best 2–3 options and compare pricing, security, connectors, implementation effort, and ROI.

glean.com

2. Microsoft 365 Copilot Search — best for Microsoft shops

Microsoft's current Copilot Search provides unified search across Microsoft 365 and third-party sources, with 100+ connectors in the Microsoft catalog plus custom/ISV connectors. Microsoft Learn

microsoft.com

3. Coveo — best for sophisticated relevance

Coveo is particularly compelling if search isn't just an employee knowledge problem—e.g. you also need customer-service, ecommerce, or highly tuned search experiences. G2 currently rates it 4.3/5 from 142 reviews. G2

coveo.com

4. Elastic — best if you have a strong engineering team

Elastic gives you substantially more control over indexing, relevance, vector search, retrieval and infrastructure. It's a better choice when you want to build your own search/RAG platform rather than buy a turnkey workplace-search product. G2 currently lists Elasticsearch at 4.5/5 from 292 reviews in its enterprise-search category.

If you mean enterprise-wide search across tools like Google Drive, Microsoft 365, Slack, Jira, Salesforce, Confluence, etc., my shortlist for 2026 is:

🥇 My top choice: Glean

Glean is probably the strongest turnkey enterprise search option today. It connects knowledge across business applications, uses AI to synthesize answers, and is designed around permission-aware enterprise access. Gartner currently lists Glean among the leading enterprise AI-search products, with a 4.5/5 rating from 361 reviews. Gartner Gartner

glean.com

When I'd choose the others

• Microsoft 365 Copilot/Search — choose this if your company is heavily standardized on Teams, SharePoint, OneDrive, Outlook and Microsoft 365. Microsoft Search is already integrated across those services. Gartner
• Coveo — particularly compelling when search is tied to customer support, commerce, or personalized experiences, rather than just internal employee search. Gartner currently gives Coveo 4.6/5 across 296 reviews. Gartner
• Elastic — choose it when you want maximum technical control over indexing, relevance, hybrid/vector search, APIs, and infrastructure. It's much more of a platform/toolkit than Glean. Gartner
• Guru — attractive if the goal isn't merely finding documents but maintaining a trusted, curated knowledge base with verified answers.
• Google Gemini Enterprise — worth considering if your organization is primarily Google Workspace/Google Cloud.
• Sinequa — worth evaluating for large, complex organizations with demanding security, data-integration, and knowledge-retrieval requirements.

My ranking

For a typical 1,000+ employee company:

1. Glean — best overall
2. Microsoft 365 Copilot/Search — best Microsoft ecosystem choice
3. Coveo — best for relevance/customer-facing search
4. Elastic — best customizable/developer platform
5. Google Gemini Enterprise — best Google ecosystem choice
6. Guru — best curated knowledge management
7. Sinequa — best for complex enterprise deployments

The biggest distinction is whether you want “Google for my company's information” or a developer search engine. Glean is strongest for the former; Elastic is stronger for the latter.

If you tell me your company size, tech stack (Microsoft/Google/Slack/Atlassian/Salesforce), and whether this is employee search or customer-facing search, I can narrow this to the best 2–3 options and compare pricing, connectors, security, AI quality, and implementation effort.