The ability to quickly find the right information can make a big difference to workplace productivity. With Glean, businesses can search across multiple applications and surface company knowledge, but it may not fit every organization’s budget, integration, or technical needs. That’s why it’s worth looking into the best alternatives to Glean for enterprise search. In this guide I’ll go through of the Best Glean Alternatives for Enterprise Search, looking at their key features, AI capabilities, integrations, security, pricing, and limitations, so you can choose the right platform for your business.
Why Businesses Look for Glean Alternatives
Transparent pricing: Glean is a quote-based enterprise pricing model which makes it hard to forecast budgets. Companies often look for alternatives with clearer seat-based, usage-based or modular pricing. Glean Alternatives
Smaller team cost: Enterprise minimums and per-seat pricing can be costly for SMBs and mid-market companies, driving them to cheaper or more flexible enterprise search platforms.
Fast to Deploy: Some organizations want to move faster. Other alternatives, with simpler connectors, prebuilt templates or lightweight setup can reduce the weeks or months it takes to do indexing and permission mapping.
Deployment flexibility: Companies with strict compliance requirements may need on-premises, air-gapped, private-cloud or customer-managed VPC deployment options that provide more control over the infrastructure and data.
Data privacy and sovereignty: Companies processing regulated data may require EU hosting, data residency, GDPR compliance, confidential computing, or customer-managed encryption beyond what their current platform can deliver
More functionality: Search is not enough any more. A lot of businesses are looking for a platform that brings together enterprise search, reasoning, automation, workflow execution and AI agents across business systems
Customer-facing AI requirements: Glean is primarily designed for internal knowledge discovery. If you need both employee search and customer-support AI, organizations may want to have a single platform to cover internal and external use cases.
Better ecosystem fit: Businesses will often opt for alternatives that fit more naturally into their existing productivity suite, data stack, security policies, and preferred AI models, leading to greater adoption and less operational complexity.
10 Best Glean Alternatives for Enterprise Search
| Alternative | Key Point |
|---|---|
| Microsoft 365 Copilot | Best for organizations already using Microsoft 365, with native search and AI across Outlook, Teams, SharePoint, and Word. |
| Google Gemini Enterprise | Best for Google Workspace-first companies that need AI-assisted search across Gmail, Drive, Docs, and connected enterprise apps. |
| Coveo | Best for large enterprises needing advanced relevance tuning, personalization, and AI-powered search across support, commerce, and internal knowledge. |
| Elastic Enterprise Search | Best for technical teams that want a customizable, developer-controlled search and vector-search platform. |
| Guru | Best for verified, curated knowledge and trusted AI answers backed by a structured knowledge base. |
| Onyx | Best for teams seeking an open-source, self-hostable enterprise search and RAG platform with stronger deployment control. |
| GoSearch | Best for fast, federated enterprise search with configurable LLMs and hybrid indexed plus real-time retrieval. |
| Notion AI | Best for teams whose internal knowledge already lives in Notion, combining workspace search, connected-app retrieval, and AI agents. |
| Slack AI | Best for conversational knowledge discovery directly inside Slack, especially for teams that collaborate heavily in channels. |
| Sinequa | Best for large and regulated enterprises that need hybrid enterprise AI search, strong governance, and broad legacy-system connectivity. |
1. Microsoft 365 Copilot
Microsoft 365 Copilot is an AI assistant built into Word, Excel, PowerPoint, Outlook and Teams, making it a natural Glean alternative for Microsoft-centric organizations. Its AI capabilities include chat related to your work, writing documents, summarizing meetings, data analysis and agents created with Copilot Studio.
Pricing is generally $30 per user per month annually for enterprise plans, with business add-ons from $18 per user per month, plus a qualifying Microsoft 365 license. It runs on Microsoft’s cloud and scales through Microsoft 365 and Graph connectors, and offers enterprise-grade security, identity controls, compliance and permission-aware search
Where It’s Strong: It’s strongest in Microsoft 365, bringing secure, permission-aware AI to Word, Excel, PowerPoint, Outlook, Teams, SharePoint and Microsoft Graph-connected business data
Where It Falls Short: It is weaker for organizations that have limited Microsoft adoption, have highly custom search requirements, or have a heavy reliance on non-Microsoft systems that require extensive third-party connectors.
Best For: Microsoft 365-first enterprises seeking AI assistance, workplace search, and agent automation, all natively integrated into familiar productivity apps
Features:
- AI chat based on business data
- Word, Excel, PowerPoint, Outlook and Teams – Copilot
- Copilot Studio’s automation and agents
- Enterprise search powered by Microsoft Graph and connectors
Enterprise security, compliance and permission controls
2. Google Gemini Enterprise
Google Gemini Enterprise delivers a permissions-aware, multimodal enterprise search and AI assistant experience across Google Workspace and connected business systems. It’s AI capabilities include conversational answers, research assistance, agent creation and retrieval across Gmail, Drive, Docs and third-party sources. Google also has seat-based plans.
Gemini Business is $25 per user per month, Enterprise Standard is $35, Enterprise Plus is $60 and Frontline is $15. There are also pay-as-you-go agent workloads. Deployment is cloud-native on Google Cloud, from small teams to complex global enterprises, with centralized administration, control of access and enterprise governance.
Where It Excels:** It excels in Google Workspace environments, offering multimodal, permissions-aware search and AI assistance across Gmail, Drive, Docs and connected enterprise applications.
Where it is less effective **: It may be less powerful for organizations outside of Google’s ecosystem, organizations that need deep on-premises deployment, or teams that need extensive customization of legacy systems.
Best For: Google Workspace-first organizations looking for a scalable AI assistant, enterprise search and agentic workflows with flexible seat-based or usage-based pricing.
Important Features:
- Access to company information with knowledge of permissions
- Conversational artificial intelligence powered by Gemini
- Building and automating agents
- Work with Google Workspace, third-party apps
- Enterprise search multimodal
3. Coveo
Coveo is an enterprise AI-relevance platform for workplace, customer service, website and commerce search. Its AI capabilities include semantic search, machine learning ranking, query suggestions, personalization, generative answering and recommendations . Pricing is modular and entitlement based. Workplace is seat based.
Service and Website plans are typically based on 100,000 queries and recommendations a month plus indexed items. Pro and Enterprise platform plans add higher limits, dedicated infrastructure options and stronger SLAs. Support for hybrid cloud and on-premises indexing, scalability via additional query and content entitlements, advanced administration and security controls, and relevance tuning.
What It Does Best: Coveo is best in AI relevance, personalization, machine-learning ranking, and large-scale search across workplace, customer service, websites and commerce experiences.
Where It Falls Short: Its modular enterprise platform may require implementation and tuning, making it less suitable for small teams looking for an out-of-the-box tool that is simple and low cost. coveo
Ideal for: Large companies looking for advanced relevance tuning, omnichannel search, personalization and AI-powered knowledge or commerce experiences.
Important Features:
- AI-driven semantic search
- Machine learning for relevance and ranking
- Personalization and recommendations
- Solutions for workplace, service, website and commerce
- Pro and Enterprise platform plans
4. Elastic App Search
Elastic Enterprise Search is the best choice for technical teams seeking to build highly-customized search, RAG, and AI applications on the Elastic Stack. AI features include vector search, semantic ranking, hybrid keyword-and-vector retrieval, elasticsearch-based relevance tuning and integrations for generative AI applications.
Pricing is usage-based via Elastic Cloud or self-managed deployments, based on compute, storage, and deployment size, so costs vary by workload, not a fixed per-seat plan. It can run on a SaaS, private cloud or on-premises infrastructure and scale out for large data volumes. Admins can control indexing, security, mappings, relevance, and infrastructure in detail.
Where It Shines: Elastic is the best choice for technical teams who want vector search that they can customize, hybrid retrieval, RAG applications, and full control over indexing, relevance, and infrastructure.
Where It Is Weaker: It’s weaker for non-technical business teams because it requires engineering expertise to build, maintain, tune, and secure an Elastic-based search stack.
Best For: Developer-first companies building custom enterprise search, semantic search, and generative AI applications at scale.
Main Features:
- Enterprise search with Elasticsearch
- Semantic, Vector search
- Hybrid retrieval based on keyword + vector
- Generative AI and RAG integrations
- Deployment: SaaS, private-cloud, self-managed
5. Guru
Guru is a knowledge-management and AI answering platform that helps enterprises keep their information verified, current and trusted. AI capabilities include AI-driven search, generated answers based on verified knowledge cards, duplicate detection, content suggestions and expertise identification. Guru does not publish basic tiers per seat.
Rather, it sells pricing based on organization size, knowledge complexity and AI maturity. Pricing includes access to the platform, solution engineering, knowledge architecture, and ongoing optimization. It is cloud-based, and it scales via workspaces, collections, permissions and integrations with tools such as Slack, Teams and browsers Administrators can manage verification workflows, ownership, permissions, analytics and content governance.
Where it excels: Guru shines in the area of verified knowledge management, ensuring answers are trustworthy through expert-owned content, verification workflows, and AI answers built on curated knowledge.
Where it fails: It fails as a general federated search engine because the value proposition relies on a structured and actively curated knowledge base. getguru
Best For: Support, customer success, sales and operations teams needing reliable, verified internal answers and scalable knowledge governance.
Important Features:
- AI-driven enterprise answers
- Knowledge Cards Verified
- Content ownership and verification processes
- Browser, Slack and Teams Accessibility
- Knowledge analytics & governance
6. Onyx
Onyx is an open-source platform for enterprise search and AI assistants for organizations that want to maintain control over deployment, data and models. Its AI features include natural-language question answering, retrieval-augmented generation, business application connectors, permissions-aware search, and support for self-hosted or selected LLMs.
Onyx provides an open-source option that can be self-hosted at a low cost for software licenses, with managed or enterprise support that may involve separate commercial agreements.
This is particularly scalable for privacy-sensitive organizations, since data and infrastructure are under control of the customer. Administration involves setting up connectors, role-based access, selecting models, indexing controls, and customizing the search and answer experience.
Where It Shines: Onyx is good for organizations looking for open-source flexibility, self-hosting, control over their data, and the ability to choose or deploy their own AI models.
Where It’s Not So Strong: It’s lacking for teams looking for a fully managed, polished enterprise product, as self-hosting requires DevOps, security, and maintenance resources in-house.
Best for: Privacy-focused, engineering-centric organizations that want customizable, self-hosted enterprise search and retrieval-augmented AI.
Main Features:
- Open source enterprise search
- Self-hosted deployment
- RAG and natural language responses
- Connectors for business apps
- Configurable LLMs – Permissions aware retrieva
7. GoSearch
GoSearch is a federated enterprise search platform that allows employees to find information across multiple applications without needing all content to be indexed in one place. Its AI capabilities feature AI answers, enterprise agents, semantic search, hybrid indexed and real-time retrieval, and configurable LLM options.
Pricing is typically subscription based and varies depending on company size, connectors and AI needs, which means it’s a good fit for teams that want predictable deployment without having to do a lot of infrastructure work.
It is cloud-based and built to deploy rapidly for distributed teams. Admin can configure data sources, permissions, AI models, branding and search behavior. Security features enable access aware answers across connected systems
Where It’s Strong: GoSearch is strong in federated search, allowing employees to find information across many applications with indexed and real-time retrieval, using configurable AI models.
Where It’s Weaker: When an organization needs a deeply grounded body of knowledge, extensive functionality that is specific to a vertical, or highly specialized features of an enterprise platform, it may be less strong.
Best for: Fast-moving teams that need broad cross-app search, AI answers, and the ability to flexibly configure LLMs without building the infrastructure themselves.
Important Features:
- Federated search for the enterprise
AI generated answers - Business AI agents
- Hybrid retrieval, indexed and real-time
- Configurable LLM and connector options
8. Notion AI
Notion AI marries flexible workspace with AI-powered knowledge discovery, and is best for teams whose documentation already lives in Notion. It has AI features such as question-and-answer across the workspace, connected app search, document summarization, writing assistance, database insights and AI agents for repetitive workflows. Prices are tied to Notion’s subscription model, with AI capabilities offered through paid workspace plans or AI add-ons, depending on the plan and size of the organization.
It’s cloud-hosted and scales nicely for startups to large teams, although very large enterprises with complex legacy-system needs may require additional integrations. Administration includes member permissions, workspace structure, connected sources, content controls, and AI usage policies.
Where It Shines: If your company’s docs, projects, wikis and databases already live in Notion, Notion AI is powerful, combining your workspace knowledge with connected-app AI search.
Where It’s Less Effective: It’s less powerful for enterprises that need deep legacy-system indexing, advanced relevance engineering or a standalone search platform across many complicated repositories.
Best For: Product, engineering, marketing, and operations teams who want documentation, collaboration, and AI knowledge discovery in one workspace.
Key Features
- AI Q&A for the entire workspace
- Search for connected apps
- AI writing & summarization
- Project and database insights
- AI agents for recurring workflows
9. Slack AI
Slack AI puts enterprise search and AI answers right into Slack, where much of the work communication and institutional knowledge happens. AI capabilities include channel and thread summaries, natural-language search across messages and files, AI-generated recaps and answers grounded in Slack conversations and connected workspace content. Pricing is typically included with paid Slack plans, or offered as an add-on.
Limits and availability vary by plan and region. Deployment is easy because it runs natively in the Slack cloud environment, which makes it easy to deploy across existing Slack workspaces. Administration — Slack’s enterprise controls, including identity, permissions, data-retention policies, and admin-managed AI settings, are used.
Where It Excels: Slack AI is best at conversational knowledge discovery in Slack, summarizing channels and threads, and answering questions based on conversations and content related to your workplace.
Where it falls short: It’s more focused on Slack conversations than the entire enterprise application ecosystem, so it’s weaker as a company-wide search platform.
Best for: Slack-centric organizations that want quick answers, recaps of meetings and channels, and knowledge discovery, all without leaving their collaboration hub.
Features:
- Slack search powered by AI
- Channel and thread summaries
- Natural language answers for workplace content
-Conversation recap and meetings recap - Native Slack workspace integration
10. Sinequa
Sinequa is an agentic AI and search enterprise platform for large, complex and regulated organizations. It provides AI capabilities for intelligent search, natural language answering, retrieval augmented generation, entity extraction, relevance tuning, and AI agents that can operate across enterprise content.
The pricing is not a simple public per-seat price, but is usually enterprise-negotiated based on the number of users, connectors, volume of content, deployment model and modules needed. Sinequa can be deployed on-premises, in a private cloud tenant, or as fully managed SaaS.
Azure deployment templates allow for faster rollout. It has more than 200 pre-built connectors including SharePoint, Confluence, Salesforce, SAP, ServiceNow for large-scale, secure knowledge discovery.
Where It’s Strong:** Sinequa is a good fit for large, regulated enterprises with a need for extensive legacy connectivity, hybrid deployment, secure search, and AI-powered knowledge discovery at an enterprise scale
Where It Is Weaker: It may be weaker for small businesses as the enterprise implementation, connector configuration and platform administration may require a significant IT investment.
Best For: Global enterprises in complex industries that need secure, scalable search across legacy systems, private clouds and specialized repositories.
Important Features:
- Agentic AI for Enterprise
- 200+ connectors pre-built
- Deployment: On-premises, private cloud and SaaS
- AI based answers and RAG
- Enterprise search, big scale and secure
How to Choose the Best Alternative to Glean
Identify the primary use case: Evaluation of the key requirement, whether it is a workplace search, validated knowledge, customer support, workflow automation, or AI agents. Select a platform where that is its main strength.
Make sure integration is covered: Make sure the tool integrates thoroughly with your existing applications, such as Microsoft 365, Google Workspace, Slack, Salesforce, ServiceNow, Confluence, and any proprietary or legacy systems
Test search accuracy: Test semantic search, vector retrieval, ranking quality, duplicate handling and if answers distinguish current, authoritative content from outdated or conflicting information.
Check permissions and security: The platform must have source-level permissions, SSO capabilities, audit logs, and must prevent users from seeing content they don’t have permissions to see
Assess deployment choices: Match the deployment model to your requirements. Opt for SaaS for rapid deployment; weigh self-hosted, hybrid, and on-premises if data residency, compliance, or infrastructure control are important
Compare AI and agent capabilities: Don’t just focus on retrieval, but also assess whether the platform can summarize, answer questions, automate tasks, build agents, and integrate with the AI tools your teams already use
Verify scalability and administration: Ensure the solution can handle your current users and future growth. Verify it has centralized administration, analytics, governance and manageable connector configuration
Total Cost and ROI Calculation: Compare pricing models based on seats, usage, and enterprise quotes. Quantify expected value in terms of productivity gains, faster resolution, reduced support load, and adoption.
Conclusion
Selecting the best Glean alternative will depend on an organization’s existing ecosystem, security requirements, budget and desired AI capabilities. Microsoft 365 Copilot and Google Gemini Enterprise are best for productivity-suite-first companies, while Coveo, Elastic and Sinequa are more suited to enterprises that need advanced relevance, customization or large-scale legacy connectivity.
Best for verified knowledge Guru Best for self-hosting Onyx Best for federated search GoSearch Best for workspace knowledge Notion AI Best for conversational discovery Slack AI When choosing a platform, businesses should consider factors such as integration coverage, permission-aware search, deployment flexibility, scalability and total cost.
FAQ
What is the best Glean alternative?
Microsoft 365 Copilot is the best choice for Microsoft 365-first organizations, while Google Gemini Enterprise suits Google Workspace-heavy teams. For advanced enterprise search customization, Coveo, Elastic, and Sinequa are stronger options.
Which Glean alternative is best for small businesses?
Notion AI, Slack AI, Guru, and GoSearch are often easier starting points because they align with common collaboration and knowledge workflows. Enterprise platforms such as Coveo and Sinequa may require more implementation effort.
Which alternative is best for self-hosting?
Onyx is the strongest option for organizations that want open-source flexibility, self-hosting, and control over their data and AI models. Elastic is also suitable for technical teams needing customizable infrastructure.
Which platform has the strongest enterprise connectors?
Sinequa offers more than 200 pre-built connectors, including SharePoint, Confluence, Salesforce, SAP, and ServiceNow, making it strong for large organizations with complex legacy systems.