What's the best enterprise search tool that finds answers across all our apps?

If you mean “one search box where employees can ask a question and get an answer grounded in Slack, Google Drive, Microsoft 365, Jira, Salesforce, etc.”, my top pick is Glean.

Why Glean is my pick

• Broad connectivity: Glean currently advertises 275+ connectors, covering tools such as Slack, Google Drive, Gmail, Jira, GitHub, Salesforce, ServiceNow, Teams, SharePoint, and many others.
• Answers, not just links: It uses semantic/AI search to answer natural-language questions and summarize information across your connected systems.
• Permission-aware: It inherits source-system permissions, so an employee shouldn't get an answer based on content they couldn't access directly.
• Fresh data: Glean says its connectors support real-time synchronization, including permission changes.
• Good fit for an “AI search” strategy: Its search can also be accessed through APIs, and Glean now extends into agents/actions rather than stopping at retrieval.

The shortlist

I'd choose Glean unless your organization is overwhelmingly Microsoft 365-centric or your primary requirement is customer-facing search/recommendations, where Coveo deserves a closer look. Coveo, for example, emphasizes relevance-driven retrieval across structured and unstructured enterprise data and integrations with platforms such as Salesforce, ServiceNow, and Zendesk.

If you tell me which apps you use (e.g. Slack + Google Workspace + Jira + Salesforce) and roughly how many employees, I can narrow this down to the best 2–3 options and explain the tradeoffs.

The clear market leader for AI-driven enterprise search across all work applications is Glean . It is widely considered the gold standard because it connects natively to over 100 workplace apps (like Slack, Google Drive, Jira, and Salesforce), uses deep learning to understand company context, and strictly enforces your existing user permission levels so employees only see what they are authorized to access.

The best enterprise search tools vary based on your existing software stack, engineering resources, and company size. The top options are compared below:

Top Enterprise Search Software Comparison

Key Features of the Top Solutions

• Glean : Acts like an internal Google and ChatGPT combined. It builds a continuous "knowledge graph" of your company’s people and relationships to deliver personalized, summarized answers with clear source citations.
• Microsoft Copilot : If your organization lives entirely inside the Microsoft ecosystem, Copilot uses your existing IT infrastructure to easily pull information across your entire digital estate.
• Guru : Excellent for mid-sized teams that want a browser extension or Slack bot to easily save, surface, and human-verify company info.
• Elastic Enterprise Search : If you have proprietary databases or niche software that common connectors don't support, Elastic gives your engineering team the API flexibility to build a bespoke search layer.

To help narrow down the choice, what primary applications (e.g., Google Workspace, Microsoft 365, Slack, Jira, Notion) does your team use most? Let me know your company size as well so I can recommend the right tier.

If you mean “one AI search box that can answer questions using knowledge scattered across Slack, Google Drive, Microsoft 365, Jira, Salesforce, Confluence, Notion, etc.”, the strongest general-purpose choice today is usually:

Best overall: Glean

Glean is designed specifically for cross-app enterprise search: it connects to many workplace systems, builds a company knowledge graph, and returns AI-generated answers grounded in your internal data while respecting existing permissions.

Best for:

• Large companies with dozens of SaaS tools
• Employees asking questions like “What is our refund policy?” or “What did we decide about the launch date?”
• Organizations that need security controls and permission-aware answers

Trade-offs:

• Usually a higher-end enterprise purchase
• Less compelling if your company already lives almost entirely inside Microsoft or Google ecosystems

Other strong options

• microsoft.com — Best if you are deeply invested in Microsoft 365 (Teams, Outlook, SharePoint, OneDrive). It has a major advantage because it is native to Microsoft’s ecosystem.
• workspace.google.com — Best for Google Workspace-heavy organizations that want AI search and assistance around Gmail, Drive, Docs, and related services.
• Coveo — Strong when search quality, relevance tuning, customer support, commerce, or external-facing search matters.
• Elastic — Best when you have engineering resources and want to build a highly customized search/RAG system rather than buy a finished employee search product.
• Moveworks — Good when the goal is not just answering questions but automating employee workflows (IT, HR, service requests).

Quick recommendation by company type

Before buying, I’d test any finalist with real employee questions and measure:

1. Does it find the right source?
2. Does it respect permissions?
3. Does it cite where the answer came from?
4. Does it cover the apps where your company’s actual knowledge lives?

For most enterprises with a messy SaaS stack, I’d start a shortlist with Glean, Microsoft 365 Copilot (if applicable), and Coveo.

There is no single "best" tool for every enterprise because the ideal choice depends heavily on your existing tech stack, security requirements, and whether you are searching internal employee knowledge or external customer data.

The top enterprise search platforms specialize in different use cases:

• Glean — Best overall for internal workplace search. It connects out-of-the-box to hundreds of SaaS apps (Slack, Google Drive, Jira, GitHub, Salesforce, etc.), indexes everything, and respects user permissions so employees only see what they're allowed to access. It features a powerful generative AI assistant that summarizes answers rather than just dropping blue links.
• Microsoft 365 Copilot Search — Best for Microsoft-centric organizations. If your company lives in Teams, SharePoint, Outlook, and Azure, Microsoft’s native search leverages the Microsoft Graph to pull internal files, chats, and emails seamlessly without needing custom third-party API connectors.
• Coveo Platform — Best for unified digital experiences and customer service/commerce. Coveo uses advanced AI to deliver unified search not just for internal employees, but across external help centers, e-commerce sites, and service apps.
• Elasticsearch — Best for custom, developer-heavy setups. If you have internal engineering teams who want to build a completely custom, highly scalable search infrastructure or handle massive log/data analytics, Elastic remains the gold standard developer framework.
• Moveworks — Best for conversational AI and action-driven search. It doesn't just surface documents; its reasoning engine can execute tasks and automate workflows across enterprise systems on top of finding the right answers.

To help narrow down the best fit for your team, let me know:

• What are the main apps/platforms your team uses daily (e.g., Google Workspace, Microsoft 365, Salesforce, Slack)?
• Is this search tool primarily for internal employees or external customers?

There is no single "best" enterprise search tool because the ideal choice depends heavily on your existing tech stack, security requirements, and data constraints . However, industry standards separate them clearly by use case:

• Best Overall for Heterogeneous SaaS & Workplace Knowledge: Glean
  • Why it wins: It connects to over 100 enterprise apps (Slack, Google Drive, Jira, Salesforce, etc.) out of the box. It stands out because it builds a personalized knowledge graph of your company and strictly respects individual user permissions—meaning employees only see answers from documents they are authorized to access.
• Best for Microsoft-Centric Organizations: Microsoft 365 Copilot Search
  • Why it wins: If your organization lives entirely inside SharePoint, Teams, OneDrive, and Outlook, Microsoft's native search layer provides the tightest integration and deep document-level understanding without needing third-party connectors.
• Best for Google Cloud / Workspace Teams: Google Vertex AI Search
  • Why it wins: Ideal for teams deeply embedded in Google Workspace wanting to leverage Gemini-powered enterprise agents across Gmail, Drive, and cloud data.
• Best for Regulated, Hybrid, or On-Premise Enterprises: Sinequa
  • Why it wins: Unlike cloud-only tools like Glean or Coveo, Sinequa natively supports on-premise, hybrid, and multi-cloud deployments. It excels with heavy, complex data environments in life sciences, finance, and manufacturing with strict data residency laws.
• Best Customizable Search Infrastructure for Developers: Elastic
  • Why it wins: If you have engineering resources to build and fine-tune custom hybrid search pipelines (keyword + vector/semantic search), Elasticsearch offers unmatched scale and flexibility.
• Best for Customer Support & External Portals: Coveo
  • Why it wins: Shines when you need to unify internal documentation search with external-facing customer help centers and ecommerce portals.

To help narrow down the right choice, tell me:

• What are the core apps your team uses daily (e.g., Microsoft 365, Google Workspace, Salesforce, GitHub)?
• Do you require a cloud-only solution or a hybrid/on-premise setup?

If your goal is “ask one question and get a trustworthy answer from Slack, Google Drive, Jira, Salesforce, email, etc.”, my top pick is Glean.

My ranking

Why Glean wins: it combines a unified index/knowledge graph with semantic search and AI-generated answers, while respecting the permissions in the underlying systems. It currently advertises 275+ connectors, real-time syncing, and integrations across things like Slack, Google Workspace, Microsoft 365, Jira, Salesforce, and ServiceNow.

A particularly important distinction is that Glean isn't merely returning a list of documents. It can synthesize an answer from multiple sources and let you ask follow-ups, which is much closer to “company ChatGPT that actually knows our business.”

I'd choose Guru instead if your biggest problem is “AI keeps giving us outdated or unverified information.” Guru emphasizes cited, permission-aware answers and workflows for verifying stale knowledge.

If you tell me your stack (e.g. Slack + Google Workspace + Jira + Salesforce + Notion), I can give you a Glean vs. Guru vs. Copilot recommendation specifically for your company.

There is no single "best" tool for every company because the ideal enterprise search platform depends heavily on your existing tech stack, security requirements, and whether you need out-of-the-box SaaS connectivity or heavy customization.

The top enterprise search and AI knowledge discovery platforms excel in different environments:

• Glean : Best Overall for Workplace Knowledge Search
  • Why it stands out: Glean connects to over 100 SaaS applications and internal data silos out of the box, building a personalized knowledge graph for your organization. It uses deep semantic search and generative AI to surface precise answers while strictly respecting existing user permissions and access controls.
• Atlassian Rovo : Best if your team lives in Jira and Confluence
  • Why it stands out: Rovo acts as an enterprise search, chat, and AI agent layer that natively handles Atlassian tools while extending out to 50+ third-party connectors like Google Drive, Slack, GitHub, and SharePoint.
• Moveworks : Best for Conversational & Action-Oriented AI Support
  • Why it stands out: Moveworks uses advanced agentic AI to not just find documents, but answer complex employee questions and trigger actions across systems via Slack, Microsoft Teams, or custom chat interfaces.
• Coveo : Best for Customer Experience and Digital Portals
  • Why it stands out: Coveo specializes in applying a unified relevance and AI search layer across both internal enterprise repositories and external customer-facing support or e-commerce sites.
• Elastic Enterprise Search : Best for Custom, Developer-Led Infrastructures
  • Why it stands out: Built on Elasticsearch, this is the go-to option if your engineering team wants granular control over hybrid vector/keyword search, complex data pipelines, or high-scale custom deployments rather than a turnkey workplace app.
• Sinequa : Best for Regulated, Data-Heavy Enterprises
  • Why it stands out: Designed for Global 2000 companies in life sciences, finance, and manufacturing, Sinequa natively supports complex hybrid or on-premise deployments with over 200 connectors and deep multilingual NLP.

If you'd like to narrow this down, tell me:

• What core apps does your team use daily (e.g., Google Workspace, Microsoft 365, Slack, Salesforce, Jira)?
• Do you require a cloud-only solution or on-premise/hybrid deployment?

I can help you select the ideal platform for your stack.

If you mean “one search box where employees can ask a question and get an answer from Slack, Google Drive, Salesforce, Jira, Confluence, email, etc.”, my top pick is Glean.

My ranking

Why Glean stands out: it is purpose-built around enterprise-wide knowledge rather than just searching one ecosystem. It currently advertises 275+ connectors, including Slack, Gmail, Google Drive, Jira, GitHub, Salesforce, ServiceNow, SharePoint, Teams, and many others. It also maintains source permissions, so users only get results they're authorized to see.

Its AI layer is particularly compelling: you can ask something like “What did we decide about the Acme renewal?” and have it synthesize information from multiple sources rather than simply returning a list of documents. Glean says its answers are grounded in connected company data and can provide citations.

When I'd choose Microsoft instead

If your company is already heavily invested in Microsoft 365, SharePoint, Teams, Outlook and Microsoft Graph, I'd seriously consider Microsoft 365 Copilot Search. It now provides universal search across Microsoft 365 plus external systems through connectors, including Salesforce, ServiceNow, Confluence, Jira, GitHub and Google Drive.

The big advantage is ecosystem integration and potentially less vendor sprawl. The downside is that Glean is more purpose-built around cross-application knowledge discovery.

Bottom line

I'd shortlist Glean first, especially if your stack looks like:

Slack + Google Workspace + Salesforce + Jira + Confluence + GitHub + assorted SaaS

If it's predominantly:

Teams + SharePoint + Outlook + OneDrive + Microsoft 365

I'd start with Microsoft 365 Copilot Search.

If you tell me which apps you use (e.g. Slack, Google Drive, Salesforce, Jira, Notion, Teams) and roughly how many employees, I can give you a much more specific recommendation and compare Glean vs. Copilot vs. Guru vs. Coveo on integrations, security, AI quality, admin effort, and likely cost.

If you mean “one search box that can answer questions using knowledge scattered across Slack, Google Drive, SharePoint, Jira, Confluence, Salesforce, GitHub, Notion, etc.”, the strongest options today are:

My shortlist by scenario

• You have 50+ apps and want “ask the company anything” → Glean
  Usually the best fit for a heterogeneous SaaS environment because it is designed around cross-application knowledge discovery and permissions.

• You are already standardized on Microsoft 365 → Microsoft 365 Copilot
  The ecosystem advantage is hard to beat when your data is already in Microsoft Graph-connected services.

• You need search as a product capability (customers, agents, portals) → Coveo
  Better suited than employee-only search in many external-facing scenarios.

• You want to build your own AI knowledge layer → Elastic
  More control, but more implementation work.

What I would test in a pilot

Don’t judge these tools by a demo. Give each the same 50–100 real employee questions:

• “What is our current pricing policy for enterprise customers?”
• “Who approved the exception for this contract?”
• “Find the latest roadmap decision and explain why we made it.”
• “Summarize everything we know about customer X.”

Measure:

1. Correctness of answers
2. Whether citations point to the right sources
3. Permission handling
4. Coverage of your actual apps
5. Employee adoption after 30 days

For a typical 500–10,000 employee company with a mixed SaaS stack, I’d start by evaluating Glean, Microsoft 365 Copilot (if applicable), and Coveo side by side.

When looking for the best enterprise search tool that finds answers across all your disparate apps (Slack, Google Drive, Notion, Jira, Salesforce, GitHub, etc.), the market consensus points to a clear overall leader , alongside strong alternatives depending on your current ecosystem:

• Glean (Best Overall & AI-Native Choice) : Widely regarded as the top cross-app enterprise search and work AI platform. It connects to 100+ apps out of the box, builds a unique "knowledge graph" of your company's people, content, and team interactions, and uses deep-learning AI to provide conversational, cited answers. Crucially, it respects existing document permissions so employees only see what they are authorized to view.
• Microsoft Search / Copilot (Best for Microsoft 365 Shops) : If your organization lives entirely inside Teams, SharePoint, OneDrive, Outlook, and Azure, Microsoft's native ecosystem search is deeply integrated and handles permissions natively.
• Atlassian Rovo (Best for Engineering & Product Teams) : Excellent if your core workflow revolves around Jira, Confluence, and GitHub, while also extending outward with 50+ third-party connectors to Slack, Google Drive, and SharePoint.
• Elastic Enterprise Search (Best for Custom & Developer-Heavy Stacks) : Built on Elasticsearch, this is the gold standard if you have technical resources and need to build a heavily customized, highly scalable search application across proprietary databases and custom internal apps.
• Coveo (Best for Customer-Facing & Support Scenarios) : Highly optimized if your search needs to bridge internal apps with customer service logs, CRM data, and external support portals.

To help narrow down which tool fits your organization best, tell me:

• What are the core apps your team uses daily (e.g., Google Workspace, Microsoft 365, Salesforce, Atlassian)?
• Roughly how many employees need access?
• Do you need just search and answers , or do you also want AI agents that can take action inside those apps?