Glean: AI-Powered Enterprise Search and Knowledge Discovery

Overview

Glean is an AI-powered enterprise search platform that indexes and unifies an organization's knowledge base across various applications. Established in 2019, the platform aims to provide employees with rapid access to information, documents, and answers to questions, thereby enhancing internal efficiency and reducing the time personnel spend searching for data within disparate systems. It operates by creating a comprehensive index of an organization's digital assets, including content from collaboration tools, cloud storage, CRM systems, and internal wikis Glean Homepage.

The system is designed for developers and technical buyers seeking to implement a centralized knowledge discovery solution. Glean's architecture focuses on understanding natural language queries and delivering personalized search results based on user roles, permissions, and historical interactions. This personalization aims to ensure that search outcomes are relevant to the individual user's context and responsibilities. The platform's utility extends to various enterprise functions, from engineering teams needing to find code snippets or documentation to sales teams retrieving customer information or marketing assets.

Glean positions itself as a tool for improving internal productivity by providing instant access to institutional knowledge. It is particularly suited for organizations experiencing information fragmentation across a growing number of SaaS applications. The platform's capabilities include answering specific questions directly by synthesizing information from multiple sources, a feature that distinguishes it from traditional keyword-based search engines. This functionality is intended to streamline onboarding processes, facilitate cross-functional collaboration, and enable faster decision-making by making corporate memory more accessible. Regarding security and data governance, Glean maintains compliance with standards such as SOC 2 Type II, GDPR, CCPA, and ISO 27001 Glean Compliance.

For developers and technical teams, Glean provides APIs that allow for the integration of custom data sources and the extension of core search functionalities. This extensibility supports organizations with unique data repositories or specific workflow requirements. The developer documentation includes guides for setting up connectors and programmatic interaction with the search capabilities Glean Developer Documentation. The platform's emphasis on AI and natural language processing aims to process complex queries and return precise answers, rather than merely a list of documents. This approach aligns with the evolving landscape of enterprise search, where the demand for intelligent assistants capable of understanding intent is increasing, as noted in general trends within enterprise AI applications Elastic Enterprise Search Documentation.

Key features

• AI-powered enterprise search: Utilizes machine learning to index and understand content across diverse enterprise applications, providing semantic search capabilities.
• Unified knowledge discovery: Aggregates information from various sources including cloud storage, collaboration suites, CRM, and internal wikis into a single searchable interface.
• Personalized answers: Delivers specific answers to natural language questions by synthesizing information, tailored to the individual user's role and access permissions.
• Intelligent content ranking: Ranks search results based on relevance, user activity, and organizational context, aiming to surface the most useful information first.
• Graph-based knowledge representation: Builds a knowledge graph to understand relationships between data points, improving the accuracy and context of search results.
• Customizable connectors: Offers APIs and tools for integrating with proprietary or niche data sources not covered by standard connectors.
• Access control and security: Integrates with existing identity providers to enforce document-level permissions and ensure data security.
• Usage analytics: Provides insights into search queries, popular content, and information gaps to help optimize knowledge management strategies.

Pricing

Glean offers custom enterprise pricing, which typically involves consultations to determine specific organizational needs and corresponding service tiers. As of June 2026, detailed per-user or tiered pricing is not publicly listed on their website.

Common integrations

• Microsoft 365: Connects to SharePoint, OneDrive, Teams, and Outlook for indexing documents and communications Microsoft 365 Integration.
• Google Workspace: Integrates with Google Drive, Docs, Sheets, and Gmail for unified search across Google's suite Google Workspace Integration.
• Salesforce: Indexes CRM data, opportunities, accounts, and customer interactions for sales and support teams Salesforce Integration.
• Slack: Incorporates conversations and shared files from Slack channels into the search index Slack Integration.
• Confluence: Connects to Confluence wikis and knowledge bases for technical documentation and internal articles Confluence Integration.
• Jira: Indexes project management data, issues, and tickets for development and operations teams Jira Integration.
• GitHub: Integrates with code repositories, issues, and pull requests for developer productivity GitHub Integration.
• Zendesk: Unifies customer support tickets, knowledge base articles, and agent interactions Zendesk Integration.

Alternatives

• Coveo: Provides AI-powered search and recommendations for customer service, commerce, and workplace applications.
• Elastic Enterprise Search: Offers a suite of search products built on Elasticsearch, including App Search and Workplace Search, for internal knowledge and external customer experiences.
• Swiftype: Delivers site search, enterprise search, and app search solutions, now part of Elastic, focusing on ease of deployment and customization.

Getting started

Integrating Glean typically begins with setting up connectors to your existing enterprise applications. While the full setup requires administrative access to the Glean platform and specific API keys for each integrated service, a basic programmatic interaction with the Glean API for searching could look like this (using a hypothetical Python SDK structure):

import os
from glean_sdk import GleanClient
from glean_sdk.models import SearchQuery

# Ensure you have your Glean API Key set as an environment variable
GLEAN_API_KEY = os.environ.get("GLEAN_API_KEY")
GLEAN_ORG_ID = os.environ.get("GLEAN_ORG_ID") # Your organization ID

if not GLEAN_API_KEY or not GLEAN_ORG_ID:
    raise ValueError("GLEAN_API_KEY and GLEAN_ORG_ID environment variables must be set.")

# Initialize the Glean client
client = GleanClient(api_key=GLEAN_API_KEY, org_id=GLEAN_ORG_ID)

def search_glean(query_string: str):
    """
    Performs a search query using the Glean API.
    """
    try:
        # Create a search query object
        search_request = SearchQuery(
            query_string=query_string,
            page_size=5,  # Request up to 5 results
            # You can add more parameters like filters, facets, etc.
        )

        # Execute the search
        response = client.search.query(search_request)

        print(f"\nSearch results for: '{query_string}'")
        if response.results:
            for i, result in enumerate(response.results):
                print(f"---\\n{i+1}. Title: {result.title}")
                print(f"   URL: {result.url}")
                if result.snippet:
                    print(f"   Snippet: {result.snippet}")
                if result.source_app:
                    print(f"   Source: {result.source_app}")
        else:
            print("No results found.")

    except Exception as e:
        print(f"An error occurred during search: {e}")

if __name__ == "__main__":
    # Example search queries
    search_glean("how to reset VPN password")
    search_glean("Q4 2025 sales report")
    search_glean("onboarding guide for new engineers")

This Python example demonstrates how to initialize a hypothetical Glean client and execute a basic search query. The GleanClient would require an API key and an organization ID for authentication. The SearchQuery object allows specifying the search term and other parameters like the number of results. The response would typically contain a list of relevant documents with titles, URLs, and snippets. For a full setup, refer to the official Glean API Reference to configure authentication, data source connectors, and more advanced query capabilities.