The 6 best Glean alternatives for 2027

A few years ago, the idea of a single search bar that could query your entire tech stack seemed like a luxury. It is now considered the norm. Modern enterprises expect systems that understand context, connect data across tools, and help move work forward.

This shift is changing how organizations evaluate tools like Glean. Glean is a widely adopted enterprise search platform that excels at finding documents across various enterprise tools, but it remains a search-first solution.

Comparing the top Glean alternatives for 2027: 1. Computer, by DevRev, 2. Microsoft 365 Copilot, 3. Notion AI, 4. Gemini Enterprise, 5. Guru, 6. Dust.

Glean has a 4.7 rating out of 5 across 336 reviews on G2. But its unpublished pricing, uneven search results for some teams, and gaps in connectors are prompting some buyers to compare options. If the goal is AI that finds the answer and then acts on it, which Glean alternative fits?

This guide compares six Glean alternatives and competitors on search and answers, agents and actions, the pain each solves, published pricing, and G2 rating. It also sets out seven criteria to weigh in 2027: search quality, permissions, connector coverage, actions, agent building, pricing you can predict, and how the tool fits the way your teams work.

It also helps to see how the main Glean competitors for enterprise AI compare on cross-system intelligence.

TL;DR

• The six alternatives: Computer, by DevRev; Microsoft 365 Copilot; Notion AI; Gemini Enterprise; Guru; and Dust.
• Glean combines search, an assistant, and agents that take action, with Glean Protect for governance, and the alternatives split between tools that stop at the answer and tools that act on it.
• Among B2B customers who use GenAI, 74% said they have used it to complete a task on their behalf, per Gartner. Finding the answer is only half the job.
• Our top pick is Computer, by DevRev, which pairs enterprise search with actions across support, product, and engineering systems.
• Where the knowledge lives decides the fit: Microsoft 365 Copilot for Microsoft data, Gemini Enterprise for Google Workspace, Notion AI for Notion, and Guru for a governed knowledge base.

What is an enterprise search tool?

Enterprise search is software that finds answers across all the apps a company uses, such as documents, tickets, chat, and email, from one place. It keeps each person’s access rules, shows the source behind its answers, and, in newer tools, acts on the answer through agents, so people stop switching between apps to find and finish work.

When boiled down, it is like having a private Google for your company. It connects internal documents, knowledge bases, and tools, indexes them in a single system, and allows employees to search for information from one place.

Four things set these tools apart from a search box on one site:

• Connectors: They read content from the apps where work happens, such as Slack, Google Drive, Jira, and Salesforce.
• Permissions: They keep each person’s access from the source system, so a result in search matches what that person could open in the app.
• Sources: They show where an answer came from, so people can check it.
• Actions: Many now go past the answer, using agents to update a record or start a workflow.

In recent years, enterprise search has evolved beyond simple keyword matching.

An enterprise search tool also differs from a knowledge base. A knowledge base holds articles that someone writes and keeps current, where an enterprise search tool reads across systems, including content nobody curated. The seven criteria below cover what to check on each one.

Why do teams look for Glean alternatives?

Glean is an enterprise search and work AI platform. Its pricing page lists no plans or prices and offers a demo instead. Six reasons come up most often: opaque pricing, search consistency, connector gaps, approval on actions, permission scope, and setup time.

• Pricing isn’t published: Glean’s pricing page shows no per-user price, minimum, or tiers, only a demo request. One G2 reviewer, an operational engineer at an enterprise, writes that “from a pricing/ROI perspective, it can be harder to justify for smaller teams” (G2, August 26, 2026).
• Search results can be inconsistent: A value engineer at an enterprise writes, “Sometimes it isn’t able to find the right resources” (G2, September 10, 2026).
• Connectors have gaps: A reviewer who needs ServiceNow change requests writes that “Glean isn’t able to retrieve them,” so the team downloads lists by hand (G2, August 26, 2026).
• Actions pause for approval: Glean’s agents can create and update records in tools such as Jira and Salesforce. Its documentation describes an allow or deny step before most writes, and advises keeping write tools interactive until a workflow is tested, so teams that want a fully hands-off flow compare how each tool handles approval.
• Permissions work per document and per object: Glean’s documentation says it enforces per-document and per-object permissions at query time, and it doesn’t mention field-level controls. For SharePoint, Glean says permission-only updates are processed in under two hours with its recommended setup, and the time can vary.
• Setup time depends on your permissions: Glean says rollout time depends on the number of source systems and how complex the permission model is. It says teams that connect 10 to 20 apps with standard identity providers typically get initial results within weeks, and that broader rollouts with custom connectors and advanced governance can take longer.
• Answers get retyped between tools: Zendesk’s CX Trends 2026 report found that 74% of consumers get frustrated when asked to repeat themselves. The same pattern shows up inside companies when an answer in one tool has to be retyped into another.

G2 reviewers rate Glean highly, and many describe real time savings. Buyers still compare alternatives because the price isn’t published, search can be inconsistent, some connectors are missing, and approval, permission, and setup details differ from tool to tool.

Glean alternatives comparison for 2027

Vendor pages and G2, read in October 2026. Terms change, so verify them before you commit.

How should you evaluate these Glean alternatives?

Switching an AI search tool touches every team, so compare the options on the same few points. The table lines up all six tools on search, actions, the pain each solves, pricing, and G2 rating. The seven criteria below are what to weigh when you check each vendor, listed from most to least important for a team that wants more than search.

• Search quality on your own data: Does the tool find the right answer on your hardest queries, and does it say when it can’t?
• Permissions: Does a person see only what they can see in the source system?
• Connector coverage: Are the tools you use covered natively, or do you need a workaround or custom connector? Coverage differs by vendor, from Onyx’s 50+ connectors to the 1,400+ Microsoft cites.
• Actions, beyond answers: Can the tool write back to your systems with approvals and a log, or does it stop at reading? Look for AI agents that finish the job.
• Agent building: Who builds agents, with what skills, and how are they tested before they touch live work?
• Pricing you can predict: Can you model your bill if usage triples? Seat prices, credits, and per-message charges all move the total differently.
• Fit with how your teams work: Does it meet people in the tools they already use, such as Slack, Teams, or a browser?

How these tools differ: some stop at the answer, and some take the next step, such as updating a record. That split drives most of the differences in the entries below.

These criteria also apply if you’re comparing AI knowledge management tools more broadly. Feature lists date fast; these seven criteria hold up.

What are the 6 best Glean alternatives?

1. Computer, by DevRev

Best for: Search plus action across support, product, and engineering.

Computer, by DevRev, is rated 4.3 out of 5 on G2 from 210 reviews.

Computer, by DevRev, works as an AI teammate for your company data: it answers questions with citations to source records and acts across the systems your teams use. Teams set it up for enterprise search across company systems, for customer self-service with Customer Agent and Voice AI, and for employee support with service desk automation.

Key features

• Answers stay grounded in source records, with citations you can check.
• Computer AirSync is a two-way sync, so Computer reads from and writes back to systems such as Salesforce, Zendesk, Jira, and Slack.
• Chat, email, WhatsApp, and Voice AI conversations are open to Customer Agent once the deployment is configured for them.
• Teams build agents in Agent Studio.
• Computer Memory is a permission-aware knowledge graph built from your connected systems before anyone asks, so answers don’t re-read raw records on every request.
• Permissions follow each source system, so a person sees answers built only from what they could already open.
• Refunds, account changes, and external messages pause for approval, and every query, answer, and action is logged.
• Agents can be tested in a sandbox on real data before they go live.
• Computer, by DevRev, works in Slack and Teams, and on desktop, mobile, and web.

Pricing: The pricing for Computer, by DevRev, is custom, so ask DevRev for a quote.

Pros

• It can run beside Glean, so a team can test one workflow first.
• It writes back to the systems your teams use, not only reads from them.

Cons

• Pricing is custom.
• 210 reviews on G2, against 336 for Glean.
• If all you need is plain search over documents, the platform may be more than you need.

Computer, by DevRev, vs. Glean: Glean’s pricing page lists no price and offers a demo, where Computer, by DevRev, is priced by contact. Glean describes taking action through agents and automation, and agents in Computer, by DevRev, write back through Computer AirSync with approvals. Computer, by DevRev, can run alongside Glean, so a team can test one workflow before it moves anything. DevRev’s Computer vs. Glean comparison sets the two side by side.

What reviewers say

• Love: Breaking down silos. A senior product manager writes that “DevRev’s standout value is how it actively breaks down the traditional silos separating support, product, and engineering” (G2, May 5, 2026; incentivized review).
• Complain: Onboarding takes real effort. The same reviewer writes that “this is absolutely not a plug-and-play solution; initial onboarding requires serious effort” (same review, May 5, 2026).

2. Microsoft 365 Copilot

Best for: Teams that already work in Microsoft 365 and want AI inside Outlook, Teams, and Office.

Microsoft 365 Copilot is rated 4.4 out of 5 on G2 from 441 reviews.

Microsoft 365 Copilot grounds answers in Microsoft Graph and Work IQ, Microsoft’s intelligence layer, which covers emails, documents, calendars, and conversations. Copilot Studio builds agents on top, and Microsoft’s materials cite more than 1,400 connectors, though its own pages quote slightly different counts.

Key features

• Copilot works inside Word, Excel, PowerPoint, Outlook, and Teams.
• Copilot Studio builds agents, with connectors, MCP server support, and multi-agent orchestration.
• Agent 365 is Microsoft’s control plane for agents.
• Copilot Chat comes with eligible Microsoft 365 plans.

Pricing: Microsoft lists Copilot Business at $18 per user per month billed annually, a first-year promotional price through December 31, 2026, or $25.20 billed monthly. Copilot Studio agents use Copilot Credits, pre-purchased (up to 20% savings) or pay as you go, and need an Azure subscription.

Pros

• A published seat price, and AI inside the apps people already use.
• Broad connector reach through Copilot Studio.

Cons

• Strongest where the data lives in Microsoft 365.
• Agents add credit-based charges and an Azure subscription.

Microsoft 365 Copilot vs. Glean: Copilot grounds answers mainly in Microsoft 365 data, where Glean describes connecting knowledge across many tools, so the difference shows up when your answers live outside Microsoft.

What reviewers say

• Love: Microsoft integration. A director of network management at an enterprise writes about “its seamless integration across the Microsoft ecosystem” (G2, August 2, 2026).
• Complain: Accuracy checks. The same reviewer writes that “its responses occasionally require verification for accuracy, especially when working with complex data or business-critical documents” (same review, August 2, 2026).

3. Notion AI

Best for: Teams whose knowledge already lives in Notion wikis, docs, and projects.

Notion is rated 4.6 out of 5 on G2 from 13,878 reviews, under G2’s Notion listing, which covers Notion AI.

Notion AI sits inside Notion’s workspace. The Business plan includes Notion Agent, AI Meeting Notes, and Enterprise Search (Beta), and Notion says Enterprise uses zero data retention with its model providers.

Key features

• Notion AI answers questions across your Notion workspace.
• Business adds Notion Agent, AI Meeting Notes, and Enterprise Search (Beta).
• Custom Agents are free to try, then billed in Notion credits.
• Free and Plus include a limited trial of Notion AI.

Pricing: Free is $0, Plus is $10, and Business is $20 per member per month. Notion’s page doesn’t say which billing cycle those prices assume, and it offers up to 20% off for yearly payment. Custom Agents cost $10 per 1,000 Notion credits after the free trial.

Pros

• A free plan and a published price for each tier.
• Search, agents, and the knowledge base live in one workspace.

Cons

• Enterprise Search is still in beta.
• Strongest when your knowledge already lives in Notion.

Notion AI vs. Glean: Notion AI works across the Notion workspace and lists Enterprise Search as a beta on Business, where Glean describes search across many connected tools.

What reviewers say

• Love: Connected records. A software developer at a mid-market company writes, “With Databases, Relations, and Rollups, we can connect RFCs, projects, tasks, incidents, and technical documentation without having to copy the same context into multiple places” (G2, September 28, 2026).
• Complain: Automation limits. The same reviewer writes, “Notion’s automation layer has some limits that start to show once a workflow becomes more complex” (same review, September 28, 2026).

4. Gemini Enterprise

Best for: Teams that already work in Google Workspace.

Gemini Enterprise is rated 4.6 out of 5 on G2 from 27 reviews.

Google bills Gemini Enterprise per seat per month and sells it in Business, Standard, and Plus editions. Business is aimed at teams of up to 300, and Standard and Plus add stricter security and compliance controls, higher quota, and access to third-party agents.

Key features

• Search and answers across Google Workspace and connected apps.
• Business for teams up to 300, with Standard and Plus for stricter security and compliance needs.
• Third-party agents on Standard and Plus.
• Pay-as-you-go overages above the included quota.

Pricing: Google bills a set amount per seat per month, not by usage. Google’s Gemini Enterprise pages list no per-seat price, so confirm it with Google or a reseller.

Pros

• Strongest where your work lives in Google Workspace.
• A per-seat model that doesn’t depend on usage.

Cons

• Only 27 reviews on G2, so the rating rests on a small sample.
• No list price found, and overages apply above quota.

Gemini Enterprise vs. Glean: Gemini Enterprise is built around Google Workspace and sold by edition, where Glean describes connecting knowledge across many tools and publishes no price.

What reviewers say

• Love: Google integration. A product manager at a small business writes, “Gemini is reliable, fast, and integrates extremely well with Google tools” (G2, May 10, 2026).
• Complain: Closed to outside tools. The same reviewer writes, “Gemini is too self-contained and I cannot connect directly to the other tools our company uses” (same review, May 10, 2026).

5. Guru

Best for: A governed company knowledge base that teams trust, with AI answers on top.

Guru is rated 4.7 out of 5 on G2 from 2,338 reviews.

Guru centers on verified knowledge. Its pricing page describes Knowledge Agents that give cited, permission-aware answers, AI search grounded in governed knowledge, and automated knowledge quality and maintenance.

Key features

• AI search grounded in governed knowledge.
• Knowledge Agents with cited, permission-aware answers.
• Automated knowledge quality and maintenance.
• Deep research across the knowledge layer.

Pricing: Guru publishes no plans or per-user prices. Its page says packages are tailored to your organization’s scale, knowledge complexity, and AI maturity.

Pros

• Verified, governed knowledge, with cited answers.
• A high G2 rating from a large base of reviews.

Cons

• No published pricing.
• Value depends on keeping the knowledge base tagged and current.

Guru vs. Glean: Guru starts from a governed knowledge base that people maintain, where Glean describes search across knowledge that already lives in your tools. Neither publishes a price.

What reviewers say

• Love: AI summaries. An inside sales rep at a mid-market company writes about being able to “just type my question and it finds the right article and summarizes it for me” (G2, October 14, 2026).
• Complain: Accuracy. The same reviewer writes, “Although the AI is a huge time-saver, it isn’t the most accurate AI I’ve worked with” (same review, October 14, 2026).

6. Dust

Best for: Teams that want to build their own AI agents on top of company knowledge.

Dust is rated 4.6 out of 5 on G2 from 87 reviews.

Dust lets teams build AI agents connected to company knowledge and tools, across several models. Its Business plans are for teams of up to 100 people, and credits are charged per message based on the model and actions used.

Key features

• Agents connect to company knowledge through connectors and MCP.
• Teams can use multiple models.
• SSO with Okta, Entra ID, and Jumpcloud, and US and EU data residency on Business.
• Enterprise adds SCIM, audit logs, custom data retention, and single-tenant deployment.

Pricing: In euros, excluding VAT, Pro is €24 per seat per month billed yearly (€30 monthly) with 8,000 credits per seat, and Max is €120 (€150 monthly) with 40,000 credits. The free tier includes 500 lifetime credits, and Enterprise pricing is by contact. Unused credits don’t roll over.

Pros

• Published seat prices and a free tier.
• Flexible agent building across models.

Cons

• Credits are charged per message, so usage drives cost.
• A reviewer flags a recent change to the pricing model.

Dust vs. Glean: Dust publishes seat prices and credits and is built for assembling agents, where Glean publishes no price and describes a broader enterprise platform.

What reviewers say

• Love: Every model in one tool. A head of customer experience and operations at a mid-market company writes, “Dust brings all the power of AI to me in the same tool” (G2, August 12, 2026).
• Complain: Pricing model. The same reviewer writes, “the switch to their new pricing model is a concern for us” (same review, August 12, 2026).

Search tools we left unscored, and why

Five more tools belong in the conversation. We kept them out of the ranked list for the reasons below.

• Onyx is open source. It syncs with 50+ tools and indexes them with each source’s permissions, adds a chat workspace and agents, and runs in your own cloud or on bare metal. It has no reviews on G2, so there is nothing to score.
• Coveo is an enterprise search platform with a G2 rating of 4.3 out of 5 from 141 reviews. It unifies enterprise data in one index, adds generative answering, and personalizes results by role, location, and intent. We left it unscored because it centers on search and personalization, where the ranked tools also act.
• Slack AI suits teams whose knowledge lives in Slack. It searches Slack content, including shared PDFs and Salesforce records, summarizes channels and threads, and runs Agentforce agents in channels and DMs. G2 shows 4.5 out of 5 from 39,974 reviews but notes that the rating reflects the full Slack suite, so it can’t be compared like for like.
• Elastic is search infrastructure: vector and hybrid search, a relevance stack from retrieval to reranking, prebuilt connectors, and document-level security. It is a toolkit and not a finished product we could price and score.
• Coworker builds organizational memory across more than 50 connected tools and runs agents, with Work, Code, Agents, and Meet in one Enterprise plan that is scoped by quote. Its G2 rating is 4.9 out of 5 from 12 reviews, which is a sample too small to score.
• Perplexity Enterprise searches your internal files and the web with sources, connects your apps, and is SOC 2 Type II certified. We have no G2 data for it, so we named it and left it out of the ranking.

How do you switch from Glean?

Search tools hold less of your data than a help desk does, because the content stays in your source systems. What carries over is the setup around it.

What carries over

Your documents, tickets, and messages stay in the systems they came from, so connectors and permissions are the main items to rebuild. Reviewers describe agents built in Glean and custom connectors built through MCP, so list every agent and connector your teams rely on and ask each alternative how it handles them. We didn’t find a Glean export guide, so ask Glean what you can take with you.

What needs manual attention

Agents, saved searches, and any custom connectors need rebuilding or re-pointing.

Training is the other variable, since each tool brings a new interface and new habits.

Three conditions that keep the move low-risk

A switch carries little risk when:

• The new tool can search your top systems with the right permissions.
• The vendor offers a trial or proof of concept on your data.
• Both tools can run in parallel for a few weeks before you cut over.

When all three hold, the migration risk is manageable.

How do you choose a Glean alternative?

Team size, budget, and where your knowledge lives cut a long list down fast.Six Glean alternatives is a manageable list, so narrow it on those three, then on what you need the AI to do.

• By team size: Computer, by DevRev, fits teams of any size that want answers to turn into actions. Dust fits small teams building agents, with published seat prices, and Gemini Enterprise’s Business edition suits teams of up to 300. Microsoft 365 Copilot and Notion AI suit teams already in those suites.
• By budget: Notion (free plan) and Dust (free tier) list free entry points, and Microsoft lists Copilot Business at $18 per user per month billed annually for the first year. Glean and Guru publish no seat price we could find, and Google lists Gemini Enterprise Business from $21 per seat per month. Contact DevRev for pricing based on your volume.
• By where knowledge lives: Microsoft 365 Copilot for Microsoft data, Gemini Enterprise for Google Workspace, Notion AI for Notion, Guru for a governed knowledge base, and Computer, by DevRev, for knowledge spread across support, product, and engineering systems.
• If you need AI that acts, beyond finding answers: Computer, by DevRev; Microsoft 365 Copilot with Copilot Studio; or Dust, which lets you build agents with connectors.
• If you want search only: a simpler tool may do, so check that you’re not paying for agents you won’t use.

Size, budget, and where knowledge lives narrow the choice, but one question settles it: do you want a place to find answers, or a teammate that finds and finishes? Search versus action is the question to settle first.

Why is Computer, by DevRev, our pick?

Three things set Computer, by DevRev, apart from the search and assistant tools on this list, and each one is checkable.

• It acts on the answer from shared context. Computer Memory gives support, product, and engineering the same record, so an answer found in one team’s tool reaches the others without a retype.
• It has been tested at volume. In BILL’s pre-launch test on 200,000 real customer queries, it reached a 70% resolution rate against a 30% approval threshold.
• It acts inside guardrails. Actions run inside the person’s permissions, pause for approval on sensitive steps, are logged, and can be undone.

Uniphore: building a proactive support culture with DevRev

Talking about features is one thing, but hearing it from an active user showcases how useful DevRev is to enterprises.

One such example is Uniphore, a client of DevRev, which is an AI and analytics company serving 1,500 enterprise clients across various industries, including telecom and banking. Their platform handles billions of engagements weekly. They view support not just as ticket resolution, but as a core part of their “one big team” and “customer first” culture.

The challenge for Uniphore’s previous support tools was transactional, creating silos between support and engineering.

Issues:

• Their old “ticketing system” only measured volume and resolution, rather than fostering a “system of action” to prevent recurring issues.
• Fragmented data: Support engineers had to toggle between multiple tools (Rocketlane, PagerDuty, Jira) to get a complete picture.
• There was no seamless way for support to collaborate with product and engineering teams to fix root causes.

Solution:

Uniphore migrated to DevRev to create a unified, tool-agnostic environment.

• Unified “system of action”: DevRev integrated Rocketlane, PagerDuty, and Jira into a single interface. Support engineers now reside in a single environment where alerts and customer updates are centralized.
• Seamless data migration (AirSync): They used AirSync to migrate 16,000 tickets, 72,000 comments, and 17,000 attachments in just 6 hours, a process that typically takes weeks.
• Bidirectional Sync: Support can now create Jira issues directly within DevRev, and updates sync automatically both ways.

Results:

• Unified visibility: A single source of truth for support, engineering, and product teams, enabling the “steel thread” from customer feedback directly to code changes.
• Proactive support: Alerts from monitoring tools now flow directly into DevRev as issues, allowing the team to identify and fix problems before customers even report them.
• Cultural shift: Support has transformed from a transactional function into a strategic ally for product and engineering, providing direct insights into product performance.
• Migration Speed: Legacy data migration completed in 6 hours (vs. an estimated 6 weeks).

Case study: Read more on how Uniphore built a proactive support culture

Final verdict: which Glean Assistant alternative is right for you?

Choose Microsoft Copilot if:

Your organization is Microsoft 365-first. You want AI built into tools your team already uses. You’re comfortable staying within the M365 ecosystem.

Choose Notion if:

You’re SMB-focused and use Notion as primary workspace. You prioritize ease of use and speed over enterprise scale. You don’t need autonomous actions or workflow automation.

Choose Gemini Enterprise if:

Your organization is standardized on Google Workspace (Gmail, Drive, Docs, and Meet) and wants AI-native search inside those tools. The generative answers and summaries grounded in Google Workspace content can be helpful as well.

Choose Computer if:

You need autonomous AI agents that take action across your tech stack. You want support, product, and engineering unified and coordinated. You value faster deployment and no double licensing. You need cross-system intelligence and object schema understanding.

Work is broken. A better search bar won’t fix it. But an AI teammate might.