10 Best AI Enterprise Search Tools of 2026

Glean ranks first because it is built for exactly this job: one search and chat box over every app a company runs, with answers limited to what each person may see. Its connector page lists 275+ native and MCP-based connectors, from Slack, Google Drive, Jira and Confluence to Gong, Greenhouse and Databricks. Glean says data permissions are inherited and strictly enforced, and that permission changes in a source app are reflected in results immediately, which is the hardest part of enterprise search to get right. Beyond search, it offers actions and agents that run on triggers or schedules, with approval steps before anything executes. The catch is cost visibility. Glean does not publish prices, so you cannot model a budget before a sales call, and there is no free plan to trial with a small team. For companies with hundreds of staff and knowledge split across many vendors, it is still the strongest documented option.

Microsoft 365 Copilot is second because for many companies the answer box already exists inside Outlook, Teams and Word. Microsoft lists the add-on at $30 per user per month paid yearly, or $31.50 paid monthly on an annual commitment, and says it includes AI-powered search across all work data using 100+ connectors. Microsoft's documentation describes two connector models: synced connectors that index outside content into Microsoft Graph and respect source permissions, and federated connectors that fetch live data over MCP without copying it. That gives admins a choice for sensitive sources such as a CRM or ticketing system. The limits are cost and gravity. A qualifying Microsoft 365 license is required underneath, so the real per-user cost is higher than $30, and the experience is best when SharePoint and OneDrive already hold most documents. Teams that live in Slack and Google Drive will get more from a neutral search layer.

Atlassian Rovo is fourth and the cheapest way into AI search for teams whose wikis and tickets already live in Confluence and Jira. Atlassian's FAQ says Rovo Search, Chat, Studio and agents come with any Standard, Premium or Enterprise Cloud plan of Jira, Confluence or Jira Service Management, with no separate purchase. Confluence Standard is listed at $5.78 per user per month. Teamwork Graph connectors bring in outside sources, with listed connectors for Google Drive, GitHub and Microsoft Teams, and results respect each user's permissions. The trade-off is usage. Standard Jira and Confluence plans include 25 credits per user per month, pooled across the organization, and extra use costs $0.01 per credit, so heavy chat users can push the bill up. Collections include ten times the allowance. Companies that do not already use Atlassian have little reason to start here.

Gemini Enterprise takes third place for making cross-app search available to smaller teams at a published price. Google's Business edition page starts at $21 per seat per month and offers a 30-day trial for teams of up to 300 with no IT setup. It lists business connectors for Microsoft 365, Google Workspace, Jira, GitHub, HubSpot and Slack, which covers the core of the Slack, Drive and Jira stack this list is about. Admins decide which connectors each team can use, and invited users can only connect their own data where an admin allows it. Gemini Notebook turns up to 300 documents into a shared, searchable knowledge base, and a Deep Research agent writes cited reports. The weak points are depth and transparency: Google does not publish a connector count, the Business edition offers select connectors only, and governance features beyond basic admin controls sit in sales-led Standard and Plus editions.

GoSearch is fifth and the easiest dedicated search tool to try on your own. Its pricing page lists a free plan with basic private connectors, 10 searches and 3 AI queries a day, and Slack and Teams integrations, so a manager can test it with real data before any budget talk. Pro costs $20 per user per month and lifts the limits, with unlimited searches, unlimited AI conversations, private agents, workflows and role-based access control. GoSearch says it integrates 100+ apps through indexed connectors, federated connectors that fetch in real time without storing data, and MCP connectors. The gap is in administration. Shared workspace connectors, SSO with SAML and SCIM, advanced permissions and the audit log are Enterprise features with custom pricing, so a company-wide rollout still means a sales conversation. For a team that wants to prove the value of one answer box first, it is a sensible start.

Onyx ranks sixth as the open source option for companies that cannot send documents to a vendor's cloud. Its Business plan costs $20 per user per month on annual billing and includes the chat and search interface, access to all major LLMs, custom agents with MCP or OpenAPI actions, 40+ app connectors, a Slack integration and permission inheritance. Onyx says documents and embeddings can stay inside your own infrastructure and that its code is open source and auditable, which matters for regulated teams. Staff can reach it through a Slackbot, a desktop app or a Chrome extension. The limits are on the enterprise side: SAML and OIDC SSO, on-premise deployments and dedicated support are Enterprise features with custom pricing. The site also says Onyx is joining Zoom, so buyers should ask how that affects the product and licensing before signing a long contract.

Amazon Quick is seventh, with the broadest pricing ladder on this list. AWS lists a free plan that includes chat, deep research, custom chat agents, Flows and connections to tools such as Slack, email, Microsoft 365, Google and QuickBooks. Plus costs $20 per user per month billed annually, or $25 monthly, and adds shared Spaces where team knowledge, agents and automations build up across people, plus browser and Microsoft 365 extensions for up to 300 users. Organizations that sign up through an AWS account can pick Essentials at $3, Professional at $20 or Enterprise at $40 per user per month, each with a $250 infrastructure fee per account and RBAC, SSO and admin controls. It is less of a pure search product than Glean or GoSearch, and AWS does not publish a connector count, so check that your wiki and ticket tools are covered before committing.

Dust is eighth because it leans toward building agents rather than pure search, though company knowledge is at its core. Its pricing page lists connectors to Slack, Notion, GitHub, Drive and 20+ more sources, any tool via MCP, and 20+ frontier models, including GPT, Claude, Gemini, Mistral and DeepSeek. Teams build custom agents with their own skills and tools, run multi-agent workflows on schedules or triggers, and segment data with Spaces. The Business plan, for teams up to 100, includes SSO with Okta, Entra ID and JumpCloud plus US and EU data residency. Dust says it is used by 3,000+ organizations. Two cautions: seats come with credit allowances, so cost depends on which models and tools agents use, and the pricing page showed euros from our location, so we could not verify a US dollar price. Larger companies need the sales-led Enterprise plan.

Moveworks scores high on capabilities but ninth overall because pricing is quote only and the product is built for large rollouts. Its enterprise search page lists 50+ built-in content integrations and a hybrid model that mixes indexed search with live API search, so answers can be both fast and current. Each answer carries an AI summary with inline citations, permissions are enforced at the user and resource level, and multilingual search covers global staff. Moveworks says it finds content across Slack, OneDrive, Google Drive, SharePoint, Confluence and Outlook, and its assistant can also complete tasks end to end, which is where it pulls ahead of pure search tools for IT and HR requests. It now operates as Moveworks by ServiceNow, so ServiceNow customers get the closest fit. Smaller companies will find the sales process and lack of published prices a barrier.

Guru is tenth because it now sells custom packages rather than seats, which makes it hard to compare on value, but it offers something the others mostly do not: knowledge verification. Guru describes a self-improving knowledge layer with verification workflows, usage signals and Knowledge Agents that give cited, permission-aware answers. Its integrations page lists 100+ sources, including Slack, Google Drive, Jira, Confluence, Notion, SharePoint and Zendesk, and staff can search from Chrome, Slack or other AI tools such as Claude, Microsoft Copilot and Cursor through Guru's MCP server. Governance features include SSO, SCIM, role-based access, DLP masking and audit logs, with SOC 2 Type II, HIPAA and GxP compliance listed. The package bundles a solution engineering team for knowledge architecture and rollout, which helps adoption but means no published entry price and a likely higher first-year cost than self-serve tools.