Product

Platform Overview

See how Glean works.

Connectors & Actions

Glean offers more than 250 connectors

Build generative AI experiences

Get access to the latest models

Accurate and efficient tools

Safely scale AI at work

Glean Assistant

Your personal AI assistant

Proactive Intelligence

Anticipate what matters next

Data Analysis & Research

Turn context into insights

Content Creation

Create grounded, on-brand content

Turn insight into action

Build and manage agents

Build agents your way

Agent Orchestration

Automate work across systems

Agent Governance

Scale agents with control

Discover trusted, reusable agents

Plan and adapt intelligently

Glean Enterprise Context

Context for it all.

Enterprise Search

The foundation for answers

Understand how you work

Enterprise Graph

Understand how your company works

System of Context

Context that boosts productivity

Search grounded in context

Glean browser extension

Resources

EXPLORE

Resource Center

ENGAGE

Gleaniverse Community

SUPPORT & SERVICES

Work AI Institute

The Work AI Index 2026

Workers say AI saves them 11 hours a week. Where is that time going?

Download the report

Company

Glean Perspectives

Thoughts and insights from the team at Glean

All Posts

Personal AI assistants vs search engines key differences explained

How to transition from fragmented AI initiatives to scalable execution

How to implement a knowledge-first strategy for AI success

How to integrate AI into frontline workflows for maximum impact

How to optimize campaigns using key GTM signals

How to align sales and marketing for competitive advantage

How to enhance sales follow-through with AI tools

Why revenue teams need a single source of truth for deal data

How to shift from prompt engineering to context engineering

Supply chain visibility vs decision intelligence key differences

How consulting leaders can scale expertise without increasing rework

How reusable knowledge can transform consulting proposals

How AI enhances regulatory readiness in utilities

How manufacturers can cut troubleshooting time with contextual AI

What power companies can learn from past outages key insights

How contextual AI enhances decision-making in industrial operations

What is the AI coworker revolution for frontline teams

What does enterprise ready AI mean in regulated industries

From search to action how AI enhances team productivity

How contextual insights enhance sales engagement techniques

How to build trusted context for your marketing content

How consulting firms can leverage IP from RFP to renewal

How to build a reusable knowledge backbone for consulting success

How to enhance supply chain resilience with faster decision-making

What are the hidden costs of fragmented operational knowledge

How AI tools reduce ramp time for sales reps

How to align marketing and sales for successful GTM launches

How a knowledge layer enhances industry 4.0 beyond automation

How to build an AI incident response playbook for 2026

How utilities can capture retiring employee knowledge

How connected context enhances energy management decisions

Explaining token efficiency ROI and risk for executives

How intelligent model routing saves tokens in production AI

Key questions to evaluate vendor retrieval systems for quality context

How to optimize token efficiency in multi-step workflows

Key metrics for evaluating token efficiency in AI systems

Balancing token efficiency and answer quality in AI systems

Key features to evaluate in an AI context layer

Comparing retrieval routing and orchestration impact on token usage

How to measure business outcomes from token efficiency

Token efficiency vs. cost: making informed AI choices

Top AI assistants for leveraging company knowledge

Can an assistant draft OKR summaries? A step-by-step guide

How to use AI for creating technical documentation in 2026

Top 10 RAG assistants to enhance your workflow in 2026

Top AI assistants for accurate source citations

What architecture supports enterprise AI scale key components explained

What is the best work assistant 7 options to consider

Top AI assistants for document permissions management

Comparing unified AI solutions which one fits your needs

Top AI assistants for sales enablement 2026 comparison

Top 10 AI assistants for seamless work app integration in 2026

Glean vs Copilot key differences in enterprise AI tools

How to secure AI for sales data best practices

Top AI tools for automating marketing approval workflows

Top AI solutions for Salesforce Slack and Drive integration

Top 7 AI tools for streamlining RFP responses in 2026

Comparing Glean features and ChatGPT Enterprise capabilities

Integrating OpenAI models with enterprise AI a comparison

How Glean enhances AI workflow automation compared to ChatGPT

Choosing between Glean and ChatGPT Enterprise for flexibility

Understanding Glean's compliance features compared to ChatGPT Enterprise

Evaluating AI solutions long term ROI insights for enterprises

Which onboarding tools excel for enterprise customer support

Best platforms for employee satisfaction a user experience analysis

Which scalable technology fits your business growth needs

Best practices for software deployment in large enterprises

How Claude stacks up against leading secure AI solutions

User experience showdown Glean vs Claude for enterprise governance

How Glean's adaptability stacks up against Claude Enterprise

Understanding Glean's data protection vs Claude Enterprise

Understanding Glean and Claude Enterprise hosting architectures

Comparing software for faster time to value in enterprise teams

Top low-maintenance software solutions for 2026

Cloud vs. on-premise: which software scales better for your needs?

Comparing software solutions which is easiest to roll out

No-code vs. low-code: which is better for non-technical users?

How finance teams can evaluate Glean for revenue forecasting

How to ensure compliance in AI tools for financial planning

When to use AI assistants for finance reconciliation

The best AI tools for streamlining financial operations

Glean vs disconnected marketing tools key benefits for 2026

Key features to evaluate in AI tools for on-brand content

How to evaluate AI platforms for B2B and B2C marketing use cases

Enterprise AI tools vs. standalone writing assistants: key differences

What to look for in an AI platform for campaign planning

Understanding marketing system challenges and unified search solutions

How marketing teams can streamline asset searches across systems

How marketing teams ensure consistent messaging with AI tools

How to use AI tools for on-brand content creation at scale

How AI consolidates campaign data for actionable insights

How to integrate campaign data and customer sentiment in B2C marketing

How B2B marketing teams can use shared context for effective launch planning

What does full context mean for AI in marketing workflows

How AI can help marketing teams create campaigns faster

How to choose the right AI platform for finance integration

How AI reduces reconciliation time across finance tools

How cited AI outputs enhance security for finance teams

How finance teams can use churn signals to mitigate forecast risks

How finance teams leverage ERP and CRM for margin analysis