Glean Review 2026: Enterprise AI Search vs Copilot, ChatGPT

Glean sells one promise to large companies: stop hunting for information. The product indexes Slack threads, Google Docs, Confluence pages, Jira tickets, Salesforce records, Zendesk tickets, and email, then answers questions with citations and permission checks attached. That sounds simple until you talk to an IT team that spent three years building a wiki nobody reads. Glean’s pitch lands because the average knowledge worker still burns hours every week asking coworkers where a file lives. Search is not a new idea. Running it on top of a language model, where the answer cites the source and hides anything you are not cleared to see, is the part that got budget approved. Our best AI chatbots breakdown covers where the general purpose assistants stop and dedicated retrieval tools begin.

The timing matters. McKinsey’s AI adoption research shows organizational AI use now sits above 70 percent across most industries, with most of that spending landing in customer service, marketing, and software engineering. Internal knowledge work ranks lower because the payoff is harder to measure. That is shifting as buyers stop asking whether AI search works and start asking which vendor already connects to their stack. Stanford HAI’s AI Index tracks the same curve from the research side, with enterprise deployments climbing while raw model quality flattens. The practical result is that the model is rarely the differentiator anymore. Connector coverage is. Smaller teams should read our best AI tools for small business guide before they request an enterprise demo they cannot afford.

I compared these five tools on the things that decide a purchase: how many systems they connect to, whether they inherit source permissions, how long a rollout takes, and what the invoice looks like at 250 seats. Review data from G2 filled in gaps where vendors would not discuss pricing on the record. A lot of marketing copy focuses on drafting and summarization, which is the easy half of the problem. Retrieval is the hard half. Anyone who has tried to pull a straight answer about a 2019 contract out of a chat assistant knows the difference. If your team mainly needs help producing text rather than finding it, our best AI writing tools guide is a better starting point than an enterprise search contract.

The short version: Glean is the most complete product here and the most expensive. Microsoft 365 Copilot is the cheapest path for Microsoft shops and the weakest at third party content. ChatGPT Business is the best general assistant and the worst enterprise search engine. Gemini Enterprise is a solid Google-first option with confusing naming. Notion AI is a bargain for teams already living in Notion and nearly useless for everyone else. None of these tools is a universal answer, and the gap between them comes down to connector count and permission handling far more than model quality.

How Do the Top Options Compare?

Prices are US list rates as of early 2026 and exclude annual discounts, education pricing, and negotiated enterprise terms. Glean does not publish list pricing, so the $45 figure comes from buyer reports on review platforms. Every tool in this table also requires a paid base license, which the per-seat number does not include.

1. Glean , Best for large enterprises with content spread across 10 or more systems

Glean is enterprise search with an assistant attached, and the search half is what you actually pay for. It ships connectors for over 100 systems, including Google Drive, Microsoft 365, Slack, Confluence, Jira, Salesforce, Zendesk, GitHub, ServiceNow, and Workday. Each connector pulls content into one index, keeps the source permissions attached, and refreshes on a schedule. When an employee asks a question, Glean writes an answer and links every claim back to the document, message, or ticket it came from. No more guessing whether the policy page you found was updated last month or last year.

The permission model is the reason IT approves the purchase. A support agent searching for refund policy gets the customer-facing version. A finance lead searching the same phrase gets the internal margin document. Nothing gets copied into a shared index that ignores access control, which is the failure mode that kills most internal search projects before launch. Glean also builds a people graph, so a query like who owns the billing migration returns a name and a reason instead of a blank page.

On top of search, Glean sells agents. You can build a workflow that assembles a sales call brief, answers onboarding questions for new hires, or drafts a weekly summary from project channels. Those agents run on the same permission layer, and that detail matters more than the feature list suggests. A bot that leaks a salary band into a public channel ends the career of whoever approved it. Teams wiring AI into back office work should read our best AI automation tools guide before building anything custom.

Pricing is the sore spot. Glean does not publish list rates. Buyers who share numbers on review sites report annual contracts landing around $45 per user per month, with discounts for multi-year deals and large seat counts. That math only works when you have hundreds of seats and content spread across a dozen tools. A 20 person startup paying $45 a head for search is burning money. Glean’s sales motion targets enterprise accounts, and the contract terms reflect that focus.

Key strengths:

• ✅ Coverage: over 100 connectors, the widest list in this comparison by a wide margin
• ✅ Permission inheritance checks the source system at query time instead of copying documents into an open index
• ✅ Agents run on the same permission layer as search, so automated workflows do not create new leak paths
• ✅ People graph surfaces who owns a project, not just which document mentions it
• ✅ One search bar replaces the habit of jumping between Slack, Drive, Confluence, and email
• ❌ No public pricing and no self-serve trial, so evaluating it costs a sales cycle
• ❌ Reported rates near $45 per user per month are hard to justify below roughly 100 seats
• ❌ Rollout takes weeks of admin work on connectors, identity, and content hygiene

Who it’s for: Companies with 200 or more employees, content scattered across at least six systems, and an IT team that can run a connector rollout.

2. Microsoft 365 Copilot , Best for organizations already standardized on Microsoft 365

Copilot costs $30 per user per month on an annual commitment, on top of an eligible Microsoft 365 license. That stacking is the first thing every buyer needs to understand, because Copilot is not a standalone product. It reads your mailbox, calendar, Teams chats, SharePoint sites, and OneDrive files through the Microsoft Graph, then drafts replies, summarizes meetings, and answers questions across that content. If your organization already runs on Microsoft, setup is mostly a licensing exercise. No new index to maintain, no separate identity provider, no shadow IT review.

The weakness appears the moment your knowledge lives outside Microsoft. Copilot reaches third party systems through Graph connectors and Copilot Studio, and both add cost and admin work. A team that runs engineering in Jira and documentation in Confluence will watch Copilot answer from a stale SharePoint copy of a page that stopped being accurate eight months ago. Our Notion AI review looks at the same problem from the opposite direction, where an assistant only knows what lives inside one workspace.

Quality is uneven in a way that surprises people. Copilot writes a strong meeting recap and a competent email. Ask it to reason across 40 documents and cite each one, and the output gets thin fast. Microsoft ships updates monthly, so this changes, but as of early 2026 the retrieval experience inside Copilot is narrower than what Glean or Gemini Enterprise deliver. Buy it for the writing and the meeting notes. Do not buy it expecting to replace an enterprise search platform.

Key strengths:

• ✅ Public pricing at $30 per user per month makes budgeting predictable
• ✅ Zero new index to build because it reads the Microsoft Graph you already have
• ✅ Meeting recaps, email drafting, and Teams summaries are genuinely useful day to day
• ✅ Compliance, retention, and identity controls carry over from your existing Microsoft agreement
• ✅ Adoption is fast because the interface lives inside apps employees already open every morning
• ❌ The $30 fee stacks on top of an existing Microsoft 365 license rather than replacing part of it
• ❌ Third party content needs paid Graph connectors or Copilot Studio work to show up at all
• ❌ Answer quality drops sharply on multi-document reasoning and citation tasks

Who it’s for: Microsoft-first organizations that want AI inside Outlook, Teams, and SharePoint without standing up a new search platform.

3. ChatGPT Business and Enterprise , Best for teams that want one flexible reasoning assistant with admin controls

ChatGPT Business costs $25 per user per month billed annually, or $30 month to month. Enterprise is custom priced. Both remove training on your data, add SSO and SCIM, and give admins a console with usage reporting. Enterprise adds a larger context window, higher usage limits, and a compliance API for exporting and deleting data. If the goal is a general purpose assistant that drafts, analyzes spreadsheets, and reasons through messy problems, this is the strongest option in the group by a comfortable margin.

It is not enterprise search, and treating it as one leads to disappointment. Connectors pull content from Google Drive, SharePoint, GitHub, and Slack, but the product is app first and index second. There is no people graph, no ranked answer across 12 systems, and no agent builder that runs on inherited permissions. Employees still use it because it is the tool they already know from home, which is a real adoption advantage that pure search vendors underestimate. Our ChatGPT guide walks through the full feature set if you want the details.

Admin controls are where this tier earns its price. Seat management, retention settings, and a data export API make it defensible in a security review, which the free version is not. The remaining gap is retrieval depth. Treat ChatGPT as the assistant your team thinks with, and buy a dedicated search layer when finding the right document is the actual problem. Plenty of companies run both and consider the overlap acceptable.

Key strengths:

• ✅ $25 per user per month with annual billing, the lowest entry point among the paid enterprise options here
• ✅ Best raw reasoning and analysis of any tool in this comparison
• ✅ Admin console with SSO, SCIM, retention controls, and a compliance API
• ✅ No training on business data, which clears most security reviews
• ✅ Employees already know how to use it, so adoption needs no training program
• ❌ No permission-aware index spanning 100+ systems, so it cannot replace Glean
• ❌ Connectors are shallow and pull far less content than a dedicated retrieval platform
• ❌ No people graph or ranked enterprise answer view for finding internal experts

Who it’s for: Teams that want one flexible assistant for drafting and analysis and plan to handle enterprise search with a separate tool.

4. Google Gemini Enterprise , Best for Google Workspace organizations

Google launched Gemini Enterprise in October 2025 at $30 per user per month. The product wraps Gemini models, a no-code agent builder, and search across Google Workspace with connectors into third party systems like SharePoint, Jira, and ServiceNow. For a company running on Gmail, Drive, Docs, and Meet, that is a short path to a working assistant. No new index project, no separate identity provider, and no procurement fight with Microsoft over an overlapping license.

Naming is a genuine mess. There is the Gemini app, Gemini for Google Workspace, Gemini Enterprise, and agent features that appear under several of those labels depending on which page you land on. Buyers report confusion during trials about which tier includes which connector and which agent limits apply. Budget an extra week for the sales conversation alone, and write down what you were promised.

Coverage is thinner than Glean’s. The connector list is shorter, and some features assume your documents already live in Google format. Permission handling inherits from Workspace and generally behaves well, but a hybrid shop that keeps finance on Microsoft and engineering on Google will watch answers go missing. Google ships fast, and the gap narrowed twice in the past year, so the ranking here could shift by mid 2026.

Key strengths:

• ✅ Public price of $30 per user per month with no Microsoft license required
• ✅ Deep integration with Gmail, Drive, Docs, Meet, and Calendar from day one
• ✅ Agent builder works without code, which gets prototypes running in days
• ✅ Permissions inherit from Workspace, so security review is shorter
• ✅ Google ships feature updates at a pace that closes gaps quickly
• ❌ Product naming across Gemini tiers confuses buyers during evaluation
• ❌ Connector list is shorter than Glean’s, and coverage gets patchy on legacy systems
• ❌ Hybrid Google and Microsoft shops get partial answers until every connector is configured

Who it’s for: Google Workspace organizations that want a capable assistant without adding Microsoft licensing to the bill.

5. Notion AI , Best for teams already running their work inside Notion

Notion folded AI into its Business plan, which starts at $20 per seat per month billed annually. That covers writing assistance inside pages, database autofill, and an enterprise search feature that reaches beyond Notion into Slack, Google Drive, GitHub, Jira, and Microsoft Teams. For a team already drafting specs, meeting notes, and project plans in Notion, the search layer costs almost nothing extra. That price is roughly a quarter of what Glean reportedly charges per seat.

The catch is depth. Notion’s search connectors cover a handful of systems compared to Glean’s 100 plus, and the index is built to surface Notion content first. Ask it about a Jira comment thread from 2023 and results get patchy. Permission handling follows the connected account, which works fine for a 30 person team and looks thin for an enterprise with tiered access rules and legal hold requirements.

Where Notion wins is the writing itself. The AI blocks turn a rough outline into a project brief faster than anything else in this comparison, and the drafting lives right where the document already sits. Treat it as a documentation tool with search attached, not as a replacement for an enterprise retrieval platform. Teams that made that mistake usually end up buying Glean anyway, which is an expensive way to learn the lesson.

Key strengths:

• ✅ AI is included in the $20 per seat Business plan with no separate add-on charge
• ✅ Strong drafting and summarization inside the page you are already editing
• ✅ Search connectors cover Slack, Drive, GitHub, Jira, and Microsoft Teams
• ✅ Setup takes minutes because permissions follow the connected user account
• ✅ No procurement cycle, no pilot program, no annual contract negotiation
• ❌ Search coverage outside Notion is shallow compared to a dedicated platform
• ❌ Connector list is a fraction of Glean’s and misses systems like Salesforce and ServiceNow
• ❌ Account level permissions are too coarse for regulated enterprises with tiered access

Who it’s for: Small and mid-size teams that live in Notion and want drafting plus light search without adding another vendor.

Frequently Asked Questions

What Should You Remember?

• Start with where your content lives. If most documents sit in Microsoft 365, Copilot is the cheaper answer at $30 per user per month.
• Budget $30 to $45 per user per month. Enterprise AI search is a recurring per-seat cost, not a one-time software purchase.
• Permission inheritance is the dealbreaker. Any tool that copies documents into an open index will fail a security review.
• Glean needs scale to pay off. Under roughly 100 seats and six connected systems, the math rarely works.
• Pilot with three departments. Run sales, support, and engineering first, then measure how often people abandon a search.
• Re-test before you renew. Connector coverage and answer quality shift every quarter across all five tools.

This article is for general information only. AI tool capabilities, pricing, and features change frequently , always verify current details on the vendor’s own site. Some links may be affiliate links that support this site at no cost to you.