Glean AI review 2026

Glean AI is an enterprise search and knowledge assistant, helping big companies manage large and fragmented pieces of information. Thanks to Glean, you can search through your company’s entire knowledge base in seconds, helping avoid long sessions looking through drives, wikis, and task boards.

At least, that’s what Glean claims. To verify these claims, I conducted this Glean AI review together with the Cybernews research team. I looked at the product’s solutions, ease of use, and other features to ensure it works as intended.

After testing, I found that Glean is best for enterprises that need a universal search engine and help with workflow automation. Unfortunately, it’s not the easiest to set up, and its pricing makes it unfriendly to smaller companies.

Quick overview of Glean AI

Overall rating	4.1 ★ ★ ★ ★ ☆
Best for	Large companies looking to have a one-stop location
Key features	AI assistant, no-code builder, personalized dashboard
Free version	Yes
Starting price	No official pricing available

Visit Glean AI

At a glance: the good and the not-so-good

To start off, I want to take a look at the pros and cons of Glean, to help you understand exactly what its strengths and weaknesses are. While the short version is that its features are excellent for enterprises and weak for small companies, you can go through the expanded pros/cons below:

What is Glean AI, and how does it work?

Glean AI is an AI assistant that uses your company’s data sources to provide search answers and perform basic agentic tasks. It’s not a general consumer chatbot or a replacement for storage, but rather a solution for organizing knowledge in large organizations. So what exactly does Glean AI do?

Glean works in a simple way. It uses connectors to index content from your tools like JIRA, Confluence, Google Drive, and others. Once indexed, it analyzes the permissions and matches them to its userbase to ensure that nobody can use Glean to gain access to information they’re not supposed to.

Based on that data, Glean offers a search engine that works similarly to Google and an AI chatbot that generates answers to the user’s questions, compiling your entire company’s knowledge into one simple tool. Glean can also automate basic agentic tasks, such as providing a daily backlog summary or creating Slack notifications whenever a new development is completed.

Glean’s big selling point is its RAG (retrieval-augmented generation) system. This ensures that the chatbot doesn’t train itself on the data it has access to. Instead, it only parses the data upon request and later deletes it from memory, ensuring it doesn’t leak to people.

Where Glean fits best in a team’s workflow

Glean can be helpful for teams in several different scenarios. Here are a few I found it’s particularly a good fit for:

• Finding docs, messages, tickets, and owners. This can be helpful if you’re in the process of building a task but can’t find an important detail.
• Getting quick answers from internal knowledge. For example, if you can’t find a question about a certain feature of the product you’re developing, Glean can quickly parse through the documentation and work logs to give you an answer.
• Onboarding and segmented knowledge discovery. Sometimes, knowledge is held within team spaces that are hard to parse for outsiders. This makes Glean very useful for helping new hires explore the intricacies of your company.
• Troubleshooting lookups. Support, IT, and engineers can use Glean to quickly look for solutions to their issues, getting a holistic view and solution suggestions.
• Reducing time spent switching tools. Sometimes, you know where certain information is stored, but with 2FA, logins, and searching through the tool, accessing it can be a hassle. Glean can shorten all that to just one prompt.

Core Glean AI features and capabilities

To further explore Glean’s capabilities, I delved into its top features. I focused on its connectors, search and answer quality, and admin controls to give you a better understanding of what Glean does well.

Connectors and data coverage

Glean offers over 100 connectors for some of the most popular project management, storage, documentation, communication, developer, and support tools on the market. Major connectors include:

• Docs/content: Google Drive, OneNote, Confluence, Notion, Dropbox, Hubspot
• Communication: Gmail, Slack, Microsoft Teams, Outlook, Zoom
• Project/developer tools: GitLab, GitHub, Amazon S3, Jira, Asana
• Support: Zendesk, FreshService, ServiceNow

While the connectors cover a wide range of popular enterprise software suites, they also make Glean hard to integrate with custom solutions. If you have a custom system, you may find that Glean misses crucial data sources.

Permission-aware results

Glean integrates with your access control list to ensure users can’t access content they don’t have permissions for. Glean’s results are thus permission-trimmed. The tool also uses its RAG system to ensure the results don’t leak through the chatbot’s training.

This works simply. For example, if a CEO sends Glean a prompt about the company’s financial records, they will find all the information they need. However, if a QA tester sends the same prompt, they’ll likely get minimal information, most likely limited to public records.

This also makes Glean a reliable choice for the heavily regulated industry. Glean is SOC 2, ISO 27001, HIPAA, and GDPR compliant. A properly-configured Glean instance will keep your company within regulatory bounds.

Search quality and ranking

Glean functions as both a chatbot and a search engine. The best way to think about Glean’s search function is to view it as similar to a classic Google Search. It responds to your prompt by returning results in a list view, sorted by relevance.

This means that in general, the best prompts for Glean’s search will be simple text like “company payroll” or “developer sprint 5” rather than complex prompts like “research average payroll for developers” or “summarize the last 5 sprints.” These are better suited for Glean’s AI chat.

Overall, the search results are pretty reliable, though they also depend on the sources provided to them by the company. If you do not connect all your data or set permissions correctly, you will find that the quality of Glean’s results gets heavily impacted.

AI answers, summaries, and follow-ups

Glean’s AI chat works similarly to other chatbots, allowing you to choose from multiple models, including GPT-5, Gemini 3 Pro, and Claude Sonnet 4.5. This applies to both the chat and its agents.

Using these models allows Glean to leverage its power, but it also brings in some drawbacks. Glean can struggle with very technical language or company-specific slang, which can then lead to false results or hallucinations. Despite Glean's work on live data, it’s unlikely to be accurate in real time. Glean AI agents are capable of performing basic tasks like scheduling or giving weekly summaries and updates.

Just like the search engine, the quality of answers depends on the sources Glean has access to. The less thorough or accurate the information, the more Glean will be prone to failure.

Admin controls and analytics

Glean gives broad capabilities to administrators to control access and rollout of the tool. For example, if you want insights into how the tool interacts with your systems, you can roll out Glean only to certain departments or users.

Glean also allows admins to analyze user traffic, letting them see what their users are accessing. This is particularly important for compliance and security reasons, but also for refining the model itself.

This is supported by allowing users to rate Glean’s answers based on their relevance and effectiveness. The admin can then see which prompts work, allowing them to adjust Glean’s settings or sources to provide better responses to their employees.

Glean AI limitations and challenges

While Glean has multiple features, it also has certain limitations, and it’s not perfect for everyone. Here are the limitations you might face when implementing it:

• Complex setup. Glean is complex to set up, especially when you have multiple tools you need to synchronize with it. You will need admin access to each platform you want to integrate with Glean for a successful installation, which can be challenging in teams with highly granular access. Finally, getting users to use Glean instead of relying on the tools it integrates or communicating with teammates can be a challenge in and of itself.
• Data freshness. While Glean receives updates in near real-time, parsing the inputs can take a while. If you’re looking for a tool that will be used for real-time monitoring or searches in very volatile environments, Glean may not be the best choice for you.
• Quality variability. Due to the nature of the tool, the quality you get from it will depend on your documentation and setup. This means its effectiveness will vary, especially for teams less prone to creating proper documentation.
• AI hallucination risk. Despite plenty of safeguards, AI hallucinations are always a risk when you’re relying on an LLM. The risk increases if the AI finds conflicting documents or deals with slang it hasn’t been trained to parse.
• ROI uncertainty. With Glean offering no transparent pricing plan, it’s hard to be certain whether it will actually be worth it for your team. The value also depends on the quality of your documentation.

Cost breakdown: what you pay for

Glean does not disclose any pricing information. The company offers a free demo and custom pricing depending on your needs. This may be a problem for smaller companies looking for a solution within a budget, especially given Glean’s setup costs.

What users praise and complain about

To assess how useful Glean is in real-world scenarios, I reviewed user reviews on Reddit, G2, and industry forums. I found a variety of opinions from implementers and end-users alike.

In terms of praise, users note that Glean is very useful, with some even stating that it’s become a home page of sorts for their work browser. Its functionality is said to actually help centralize knowledge and quickly find answers to essential questions. Essentially, it actually speeds up day-to-day work. Users have also appreciated the permission system, and no major breaches in permissions have been noted.

On the flip side, users note that pricing is higher than that of many of Glean AI's competitors and that setup can be a hassle for larger companies. Some complaints have also been directed at Glean’s UI, being a little unintuitive. Users have also pointed out that Glean’s chat still suffers from many of the LLM pitfalls, including hallucinating answers.

Consensus snapshot:

• Glean is excellent at consolidating all your information in one place, making it available quickly to all users with the correct permissions.
• In general, users found the AI helpful chatbot, but noted that it still can hallucinate, just like any other LLM.
• The biggest concern for many users is pricing, with many noting that it’s a very costly product, especially in a smaller company’s context.

Glean AI vs competitors

I looked at other tools that have similar use cases to Glean. To make comparing the products easier, I created a simple table:

Tool	Best for	Strengths	Weaknesses	Works best when
Glean	Enterprise-wide search	Deep integrations, complex permissions	High setup effort, unclear pricing	You use 20+ different SaaS tools and need a central platform
nexos.ai	Multi-model teams and structured enterprise AI deployment	Model-agnostic platform (200+ LLMs), strong IT guardrails/DLP, side-by-side output comparison	Requires credit management for API/developer builds; overkill for simple standalone chat	You want to leverage multiple top AI models across teams securely without platform vendor lock-in
MS Copilot	Microsoft-centered organizations	Built into Word/Excel/Teams, no extra setup	Poor results for non-Microsoft data	Your company lives exclusively in the Microsoft 365 ecosystem
Google Gemini	Google Workspace organizations	Native integration with Drive and Gmail, very responsive	Weak third-party connector support	You rarely use external documentation or tools
Notion	Knowledge-heavy companies	Great at synthesizing knowledge/wikis within Notion	Cannot search your email, Slack, or external Jira tickets effectively	Notion is your single source for all documentation

As you can see, Glean is best for companies with a wide array of SaaS tools that require interconnection. Teams that have good documentation practices and only a few interconnected tools are probably better served using a tool like Notion or integrating everything into the Microsoft or Google ecosystem to use Copilot or Gemini.

Best alternative: nexos.ai

Glean may be a tool that has use cases that don't quite match your needs. If you're looking for an AI generalist tool, I recommend exos.ai. nexos is an AI orchestration platform that lets you set up a customizable, in-depth workflow in multiple ways. Compared to Glean, nexos focuses on easy-to-use workflows based on agentic prompts. You can use over 200 LLMs and 100 templates to create the perfect workflow for your needs, creating everything from a coding assistant to a customer support agent.

Glean is focused more on connecting existing knowledge to tools. While nexos.ai can do that, it's a bit more complex than in Glean's case, and it's far less optimized when it comes to purely compiling information. However, if you create workflows between those platforms, Nexos can give you options that Glean simply isn't capable of, allowing you to actively build interactions between tools.

Bottom line: should you choose Glean?

Glean is clearly a product meant for large enterprises that use multiple tools to manage their day-to-day operations. In that context, it’s definitely a good choice, especially given that its price tag is unlikely to make a dent in a massive budget.

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