WorkLLM
Vs
Glean
Glean is an enterprise search platform that indexes 100+ connected apps into a permission-aware knowledge graph. WorkLLM converts your company’s everyday work into AI agents that run it automatically, no technical expertise required.
This page compares how WorkLLM and Glean work in practice so you can choose the right approach for your company.
Teams at 80+ companies use our platform
check out our reviews
WorkLLM vs Glean
What each product is best at
Start here if you just want the essence before the big table.
Full Comparison - WorkLLM vs Glean
Asking AI
| Capability | WorkLLM | Glean |
|---|---|---|
| 1.1 Multi-model access and comparison |
Access 200+ models, including GPT, Claude, Gemini, Llama, and Mistral, from one chat interface, and compare up to 4 side by side on the same prompt.
|
Multi-LLM routing is included in the Advanced AI add-on, but there's no confirmed user-facing model choice or side-by-side comparison.
|
| 1.2 AI Answers, websearch & research capabilities |
Get cited, up-to-date answers with web search, plus deep research using specialized models, right inside your workspace.
|
Glean Chat and Agentic Search find, reason, summarize, and cite across enterprise sources, a genuine, well-regarded strength.
|
| 1.3 Chat with documents |
Upload and chat with PDFs, Word files, spreadsheets, and presentations, grounded in your projects and organization memory.
|
Searches and reasons across documents indexed from 100+ connected apps automatically.
|
| 1.4 Remembers your preferences and context |
Remembers your personal preferences, stays consistent within a conversation, and carries context across a shared project.
|
Personalizes to each employee's role and surfaces relevant context proactively, before you ask.
|
| 1.5 AI answers grounded in your company knowledge |
Every answer can pull from your company's own documents, decisions, and past work automatically, not a generic guess.
|
This is Glean's core strength, a permission-aware knowledge graph across 100+ connected apps, respecting existing access controls in real time, genuinely comparable to, and in raw search breadth arguably ahead of, what WorkLLM offers.
|
Getting the work done
| Capability | WorkLLM | Glean |
|---|---|---|
| 2.1 Create docs, sheets, slides, flowcharts, wireframes and diagrams |
Docs, sheets, slides, flowcharts, and diagrams, delivered as an actual file or visual you can use immediately.
|
Can draft content and summaries grounded in company knowledge, but isn't built around creating structured documents, spreadsheets, or slides as a core capability.
|
| 2.2 Create & edit images, video & audio |
Supports generating and editing images directly in chat; for video and audio, it understands but cannot create or edit them.
|
Not positioned around media generation at all.
|
| 2.3 Write & debug code |
Coding models help with generation and debugging inside the chat interface, not directly in your codebase.
|
Not built around coding assistance, its focus is search, knowledge, and workplace assistance.
|
| 2.4 Write in your brand's voice and tone |
Every generated document, email, or piece of content can pull your brand voice, tone, and business context from organization memory automatically.
|
Drafts and summaries are grounded in company knowledge, but there's no dedicated brand-voice layer applied automatically to generated content.
|
| 2.5 Do your work in your work apps |
Ask in chat, and get data from your CRM, send a message in Slack, or update any record in any tool connected natively or through MCP.
|
Indexes and connects to 100+ SaaS apps, including Slack, Google Drive, Jira, Confluence, Salesforce, Notion, and GitHub, genuinely broad, comparable native reach.
|
Automating the work
| Capability | WorkLLM | Glean |
|---|---|---|
| 3.1 Ready-made agent library for your workflows |
A library of ready-made AI agents for sales, marketing, HR, product, operations, and more, each built to work across multiple apps in one run.
|
Glean Agents lets teams build agents for repeatable, multi-step work, but independent reviews consistently describe this as secondary to Glean's core search strength, not a broad, ready-made library.
|
| 3.2 Automate your workflow in minutes |
Describe your workflow in one prompt, and an AI agent is built and ready to run, no prompting skill, no technical setup, and no engineering required.
|
Deployment itself is a multi-week enterprise program involving professional services, identity work, and content cleanup, not a self-serve, minutes-long setup for any single workflow.
|
| 3.3 Run your workflows in your work apps |
An AI agent can act directly inside 100+ natively connected tools, or any other tools through MCP, no waiting for a native integration to be built.
|
Connects across 100+ SaaS apps, genuinely broad, though the emphasis is search and retrieval rather than taking action inside those apps.
|
| 3.4 Full transparency: review every step, or approve as it runs |
See exactly what an AI agent will do before it runs, edit any step, and decide whether it runs fully on its own or holds for your approval.
|
No documented step-by-step review or approval flow for agent actions before they run.
|
| 3.5 Governance & usage: version history, run reports, and spend tracking |
See exactly who ran each AI agent, how many times, what model it used, and what it cost, with full execution logs down to the individual run.
|
Offers activity insights and analytics at the platform level, but a confirmed per-agent, per-run reporting model isn't documented.
|
| 3.6 Shared AI agents across your workspace |
Once an AI agent is built, anyone in the workspace can use it, and it always runs from the current version, so updating it once means every future run reflects that change automatically, for everyone.
|
Glean Apps offers a no-code builder for sharing configured workflows, but this isn't confirmed to include the same automatic current-version behavior or granular editor/executor role assignment.
|
Working with your team
| Capability | WorkLLM | Glean |
|---|---|---|
| 4.1 Co-prompting, commenting, & tagging colleagues on AI answers |
Multiple people work inside the same AI thread, co-prompting, commenting, and tagging each other, so a conversation becomes shared work, not a private one-off.
|
No dedicated co-prompting or inline commenting layer documented.
|
| 4.2 Shared team projects |
A project holds multiple folders, each with its own memory, and anyone with access can start a thread or add context, so the whole project builds shared knowledge.
|
Role-aware experiences are built from knowledge graph signals across the organization, real and useful, but not structured around a multi-folder project system with independent memory per folder.
|
Security and control
| Capability | WorkLLM | Glean |
|---|---|---|
| 5.1 Tenant isolation and deployment options |
Enterprise customers can run on dedicated, physically isolated infrastructure, a private VPC with your own servers and storage.
|
On-premises or private cloud options exist at the Custom tier (500+ seats), but a dedicated, physically isolated infrastructure option isn't confirmed at standard tiers.
|
| 5.2 Encryption and single sign-on |
Data encrypted at rest and in transit, with SAML-based SSO for enterprise deployments.
|
Enterprise-grade encryption and security-focused deployment options are confirmed.
|
| 5.3 Access control, audit logs & guardrails, on every plan |
Role-based permissions, audit logs, and input/output guardrails included by default, not gated behind a higher tier.
|
Real, sophisticated permission-aware indexing exists, but fine-grained governance and advanced compliance features are specifically called out as Enterprise-tier (500+ seat) features, not included by default.
|
| 5.4 Your data is never trained on or retained |
Customer data isn't used for model training, with zero data retention at the LLM layer.
|
SOC 2 Type II, HIPAA (at Custom tier), and GDPR compliance are confirmed.
|
| 5.5 Admin dashboard and governance |
A central admin dashboard with usage analytics per user and per agent.
|
Advanced analytics and fine-grained governance are Enterprise-tier features, not confirmed to include the same per-agent, per-run detail at standard tiers.
|
Disclaimer: Information about Glean is based on publicly available documentation and product pages as of September 2026. Features and pricing may change over time.
WorkLLM vs Glean
When To Choose Which
See how WorkLLM gets your team to results faster
Book a short conversation to see how WorkLLM turns everyday work into AI-powered agents, without the enterprise-scale setup a platform like Glean requires.