7 Best Glean Alternatives for Enterprise Search [2026]

Enterprise search pulls company information from documents, applications, and internal systems into a single place employees can search. As companies grow and add more tools, having a solid search tool becomes increasingly important.

According to Fortune Business Insights, the global enterprise search market is projected to grow from $6.39 billion in 2026 to $12.76 billion by 2034.

Glean is a popular enterprise search option, but it may not fit every organization, especially because requirements around integrations, deployment, customization, and AI capabilities differ significantly.

In this article, we will explore the seven best Glean alternatives to help you find the right option for your organization.

Why Teams Look for Glean Alternatives

While Glean offers a broad set of enterprise search and AI capabilities, G2 reviews highlight several limitations that may lead teams to consider other options:

• Transparency and accuracy: Reviewers mention a need for greater transparency and more accurate results to improve efficiency and trust in the platform.
• Broad search results: Search results can be too broad, requiring extra steps to refine them and find the right information.
• Limited filtering: Inadequate filtering can make it difficult to narrow down search results effectively.
• Limited customization: A lack of customization options can contribute to irrelevant search results and make it harder to tailor the experience to specific needs.

How We Selected the Glean Alternatives

To evaluate Glean alternatives, we looked at how each platform handles hybrid retrieval, permission-aware search, and retrieval-augmented generation (RAG) when searching company knowledge across multiple systems.

We assessed more than 20 enterprise search and AI platforms, and the seven strongest made this list. Each platform was scored using the following weighted criteria:

• Enterprise search capabilities (35%): We evaluated how effectively each platform searches across structured and unstructured company data, and how well it supports keyword, semantic, vector, hybrid, and federated search.
• Integrations and data access (25%): We compared the number and range of supported enterprise systems, along with native connectors, APIs, federated retrieval, and permission-aware access to connected data.
• AI and RAG capabilities (25%): We assessed features such as natural-language queries, generative answers, source citations, reranking, RAG, and AI agents.
• Security and access controls (15%): We reviewed how each platform handles enterprise permissions, access controls, data security, and deployment options to keep company knowledge protected.

7 Best Glean Alternatives for Enterprise Search in 2026

Before diving deeper, here is a quick overview of the best Glean alternatives:

1. Hops

Hops is an AI workspace where teams work alongside an AI agent with specialized skills across conversations, documents, tables, and connected business applications. The agent can support functions such as sales, marketing, finance, legal, product, HR, and operations while sharing the same workspace and context as the rest of the team.

Unlike most AI tools, where each user starts a separate chat and repeatedly explains their work, Hops remembers what has happened across the workspace and uses the knowledge the team has gathered. This allows it to understand ongoing work, complete tasks, run automations, and become more useful as the team continues using Hops.

Key Features:

1. Spaces: Hops brings conversations, documents, tables, files, connected tools, people, and an AI agent into a shared workspace for each team or project. The agent works from the context already available in the Space, so teams do not have to repeatedly brief it or paste information into separate AI chats.

With Spaces, your team can:

• Keep work in one place: Store threads, documents, tables, files, and connected tools alongside the conversations surrounding the work.
• Give it shared context: The agent can use the same documents, trackers, conversations, and other information that team members work with.
• Work alongside agents in conversations: Mention the agent directly in a thread, like you would another teammate, and it can pick up the surrounding context and deliver work to the same conversation.
• Control access through Space permissions: The agent only sees information available within Spaces they have been invited to.

2. Shared memory: The agent uses previous context instead of starting from scratch with every request. With Shared memory, your team can:

• Preserve important decisions: Keep previous decisions and changes connected to the projects where they happened.
• Avoid repeated briefing: The agent can use existing context when handling new requests or continuing previous work.
• Share context across the team: People and the Hops agent work from the same project knowledge, so there is no need for separate AI conversations.
• Control what agents remember: Team members can inspect, edit, or remove information stored in shared memory.

3. 2,000+ integrations: Hops connects with more than 2,000 tools so the agent can work with information from the applications your team already uses. Supported tools include Slack, Microsoft Teams, Gmail, Google Drive, GitHub, Jira, Linear, Intercom, Figma, HubSpot, Salesforce, and Notion.

4. Tables and apps: Hops lets you keep structured business data, such as orders, pipelines, contracts, and projects, alongside conversations and documents.

With Tables and apps, your team can:

• Search structured business data: The agent can fetch information stored in tables, not just documents and conversations.
• Keep data connected to its context: Store project, contract, pipeline, and other records alongside related discussions and documents.
• Build views on request: Ask Hops to turn existing data into dashboards, boards, or one-pagers.
• Maintain access controls: The agent works with table data within the Space’s existing permissions.

Pricing:

Hops offers a Free plan that includes the whole suite of features and 5,000 AI teammate credits, and an Enterprise plan with custom pricing.

2. GoSearch

GoSearch is an AI-powered enterprise search platform that connects company knowledge across 100+ apps, allowing employees to find information and get answers through natural-language search. It also provides AI agents and no-code workflows that can use your company’s context to automate tasks and processes across connected tools.

Key Features:

• Hybrid enterprise search: Combines indexed and federated search, allowing you to index shared knowledge while querying sensitive or fast-changing information directly from source systems
• Semantic search and AI answers: Understands natural-language queries and company terminology, then provides direct answers across connected sources with citations for verification
• Permission-aware, real-time retrieval: Carries over permissions from connected systems and retrieves information live, helping keep search results current without requiring all company data to be duplicated in a central index
• 100+ app connectors: Searches across more than 100 workplace tools, including Slack, Google Drive, Jira, Notion, Salesforce, Confluence, and Zendesk, with support for native and MCP connectors

Pricing:

GoSearch offers a Free plan, a Pro plan starting at $20 per user/month, and an Enterprise plan with custom pricing.

3. Onyx

Onyx is an open-source AI platform that connects your company’s documents and apps to help employees find information and get answers based on internal knowledge. It is especially useful for teams that want to customize their AI setup, choose their own models and infrastructure, or self-host the platform.

Key Features:

• Enterprise search across 40+ tools: Connects to workplace apps such as Slack, Google Drive, SharePoint, Jira, GitHub, and Salesforce, continuously indexing their content so employees can search across sources from one place
• Advanced RAG and hybrid search: Combines semantic and keyword search with contextual retrieval, multi-pass indexing, reranking, and LLM-based knowledge graphs to find relevant information and generate grounded answers
• Permission-aware access: Syncs permissions from connected apps so employees only see information they are authorized to access
• Deep Research: Searches across multiple internal and external sources, analyzes the retrieved information, and produces detailed answers with citations back to the original sources

Pricing:

Onyx offers a Business plan starting at $20 per user/month with yearly billing, and an Enterprise plan with custom pricing.

4. Coveo

Coveo is an enterprise AI search platform that helps you find and surface information across workplace systems, websites, ecommerce, and customer service applications. It suits mid-sized and large organizations that need to connect large amounts of content and deliver relevant search experiences across multiple systems.

Key Features:

• Unified search across 100+ enterprise systems: Provides more than 30 native connectors covering over 100 enterprise systems, bringing content from different repositories into a unified index for employees to search
• AI-powered relevance and personalization: Uses machine learning to rank information based on relevance and personalizes content and recommendations based on user context, department, location, and behavior
• Permission-aware search: Indexes content with existing user and item permissions, ensuring employees receive only search results they are authorized to access in the original source system
• Generative answers with source citations: Answers natural-language questions using retrieved enterprise content, supports semantic retrieval, and provides citations to the indexed sources used to generate each answer

Pricing:

Coveo does not disclose its pricing publicly. It customizes the price based on factors such as deployment needs, query volume, indexed items, and the products or add-ons selected.

5. Elastic

Elastic is an enterprise platform built around Elasticsearch, and it helps teams search, analyze, and retrieve information across large volumes of data. Its platform combines enterprise search with generative AI, observability, security, and tools for building AI agents and search applications.

Key Features:

• Advanced search: Combines keyword, fuzzy, semantic, and vector search with ranking and reranking to help users find the most relevant information
• 350+ integrations: Connects with hundreds of tools and data sources through built-in integrations, APIs, and data pipelines, allowing you to search information from different systems
• Search at enterprise scale: Handles large amounts of data and can scale across multiple clusters, locations, and cloud environments without interruptions
• AI-powered search and RAG: Uses vector search, AI models, and LLMs to retrieve relevant company information and generate answers based on that data

Pricing:

Elastic uses resource-based pricing for Cloud Hosted, usage-based pricing for Serverless, and license-based pricing for self-managed deployments.

6. Microsoft 365 Copilot

Microsoft 365 Copilot is an AI assistant for work that helps employees find information, create content, analyze data, and complete tasks across Microsoft 365. It is a strong fit for organizations already using Microsoft tools such as Teams, Outlook, SharePoint, and Word, as it integrates seamlessly into existing workflows.

Key Features:

• 100+ prebuilt connectors: Connects with external tools such as Salesforce, ServiceNow, Confluence, Jira, GitHub, and Google Drive, allowing teams to search information across different business systems
• Natural-language queries: Lets employees describe what they are looking for using questions, phrases, or commands instead of relying on exact keywords
• Synced and federated connectors: Supports both indexed content and real-time retrieval from external systems, giving you different ways to make enterprise data searchable
• Microsoft 365 permission inheritance: Uses existing permissions, sensitivity labels, and retention policies so search results only surface content each employee is allowed to access

Pricing:

Microsoft 365 Copilot offers three paid plans for businesses, starting at $24.36 per user/month with monthly billing.

7. Sinequa

Sinequa is an enterprise AI search and knowledge platform that connects information across your organization and makes it searchable and accessible through AI-powered search, assistants, and agents. It is particularly suited to large enterprises with complex data environments that need to securely find and use knowledge spread across many systems and data sources.

Key Features:

• 200+ pre-built connectors: Integrates with enterprise systems such as SharePoint, Confluence, Jira, Salesforce, ServiceNow, SAP, Google Drive, and databases, with no custom coding required for its pre-built connectors
• Advanced hybrid retrieval: Combines vector, keyword, graph, and structured retrieval to find relevant information across both structured and unstructured enterprise data
• Support for 300+ data formats: Processes more than 300 structured and unstructured data formats, helping you search across niche documents and other complex enterprise content
• Flexible choice of AI models: Allows teams to choose the AI model or combination of models that best fits their requirements

Pricing:

Sinequa does not have a public price list or standard tier packages.

How to Choose the Best Glean Alternative

The ideal Glean alternative depends on what your organization needs from enterprise search. This could include searching across more systems, improving search relevance, protecting sensitive data, or using AI to turn company knowledge into action.

If your priority is traditional enterprise search across large and complex data environments, platforms such as Coveo, Elastic, and Sinequa are strong options. For organizations that want AI-powered search and answers across workplace applications, GoSearch, Onyx, or Microsoft 365 Copilot may be a better fit.

However, if your goal is to go beyond searching company knowledge and have an agent that works seamlessly alongside your team, Hops is the best choice.

With Hops, your team can:

• Bring work and knowledge into shared Spaces where conversations, documents, tables, files, tools, people, and the agent stay connected.
• Give the agent shared memory so it can use previous decisions, conversations, and changes instead of starting from scratch with every request.
• Connect more than 2,000 applications, including Slack, Microsoft Teams, Gmail, Google Drive, GitHub, Jira, Salesforce, HubSpot, and Notion.
• Work with the agent directly inside conversations, and assign work by mentioning it, just like other teammates.
• Search and update structured business data stored in tables, including projects, pipelines, contracts, and orders.
• Turn existing data into useful outputs such as dashboards, boards, and one-pagers without moving the work into a separate tool.

Try Hops for free today to see how it can search your company knowledge and put it to work.