- What to Look for in an Enterprise AI Search Tool
- Glean
- Microsoft 365 Copilot
- GoSearch
- Lumnic
- Side-by-Side Comparison
- How to Choose
- FAQs
Your team runs Slack, Jira, Google Drive, Confluence, and Outlook at the same time. Someone asks a question that was answered three weeks ago in a Slack thread, documented in a Confluence page, and referenced in a Google Doc. Nobody can find it. The meeting stalls.
This is not a rare edge case. Enterprise employees spend roughly 20 percent of their working week searching for information that already exists somewhere in their stack. The knowledge is not gone — it is just scattered across tools that do not talk to each other.
Enterprise AI search tools are built to solve exactly this. But the category has matured enough in 2026 that the differences between platforms matter quite a bit depending on your stack, your budget, and your compliance requirements. This comparison covers Glean, Microsoft 365 Copilot, GoSearch, and Lumnic across the dimensions that actually affect a buying decision.
What to Look for in an Enterprise AI Search Tool
Before comparing platforms, it helps to agree on what a strong solution actually needs to do.
Cross-tool coverage. A tool that only searches within one ecosystem is not a unified search layer — it is a better version of that ecosystem’s native search. If your team uses both Google Workspace and Microsoft 365, or runs Jira and Slack alongside SharePoint, you need a platform that spans all of them.
Natural language query. Employees should be able to ask questions the way they think, not write structured queries or know in advance which tool holds the answer. The AI layer should handle the translation.
Agents and automation. Search is the floor, not the ceiling. The most capable platforms in 2026 let you build workflows on top of your knowledge layer, not just retrieve from it.
Data privacy and compliance. For organizations operating under GDPR, SOC 2, or internal data governance requirements, where your data goes when you query it is not a minor detail. It is often a procurement blocker.
Deployment friction and cost. Some platforms require months of IT work before they deliver value. Others are available on pay-as-you-go terms. Total cost of ownership includes both the license and the implementation burden.
Glean
Glean is the most established name in enterprise AI search. It indexes content across a wide range of enterprise tools and surfaces results through a unified interface with AI-generated summaries.
Strengths
Glean has strong connector coverage, a mature permissions model that respects source-level access controls, and a well-developed enterprise sales motion. For large organizations with dedicated IT resources and a clear mandate to standardize on a single search layer, it delivers.
Limitations
Cost is the primary barrier for most mid-market buyers. Glean’s average annual contract value runs around $98,700, with a floor near $60,000 per year — pricing that reflects an enterprise segment with procurement budgets to match. Deployment also requires meaningful IT investment before the platform is operational.
If your organization has 500 to 2,000 employees without a dedicated IT team to manage onboarding, Glean is likely to price you out or stretch your implementation timeline in ways that delay value.
Microsoft 365 Copilot
Copilot is Microsoft’s AI layer built directly into the M365 suite. It works inside Word, Teams, Outlook, SharePoint, and OneDrive, answering questions, drafting content, and summarizing meetings using your organization’s data.
Strengths
If your organization runs entirely on Microsoft 365, Copilot is a natural fit. It requires no separate deployment, it integrates with tools your team already uses daily, and at $30 per user per month for enterprise (or $21 for SMBs under 300 users), the per-seat cost is predictable.
Limitations
Copilot only works within the Microsoft ecosystem. If your team also uses Google Workspace, Jira, Confluence, Slack, or GitHub, those sources are invisible to it. Copilot cannot query a Jira ticket, a Confluence page, or a Slack thread.
This is not a minor limitation. Most mid-to-large enterprises in 2026 do not run a pure M365 environment — they run M365 alongside Google Workspace, Atlassian tools, and Slack. Copilot gives you AI search for roughly half your knowledge base.
GoSearch
GoSearch offers a Pro plan at $20 per user per month and positions itself as an enterprise search platform with AI capabilities. It connects to a range of tools and provides a clean unified search interface.
Strengths
GoSearch is the most accessible price point among dedicated enterprise search platforms. It covers a solid range of integrations and delivers a straightforward search experience. For teams whose primary need is better search across connected tools, it is a reasonable option.
Limitations
GoSearch leads with search and treats agents as a secondary feature. If your team wants to automate workflows on top of your knowledge layer, or build shared query libraries the whole team can access and build on, that is not the primary design priority here. Agents are available, but they are not first-class.
GoSearch also does not offer a dedicated private deployment option for organizations that need to ensure data never reaches third-party AI models — a meaningful gap for buyers in financial services, legal, or any environment with strict data residency requirements.
Lumnic
Lumnic connects your existing data sources into a single unified layer and lets your team query that layer in plain English. It integrates with Google Workspace (Gmail, Drive, Docs, Sheets, Slides), Microsoft 365 (SharePoint, OneDrive, Outlook, Teams), Confluence, Jira, Slack, GitHub, and databases.
What makes it different
Three things separate Lumnic from the other platforms in this comparison.
First, it is genuinely tool-agnostic. Lumnic does not favor one ecosystem. Whether your team runs entirely on Google Workspace, entirely on Microsoft 365, or on a mixed stack that includes both alongside Jira and Slack, the same unified query layer covers all of it. Ask a question once and get an answer drawn from every connected source.
Second, agents are a first-class capability. Lumnic supports intelligent workflow agents that automate tasks on top of the unified knowledge layer. This is not a bolt-on feature added to a search product — it is a core part of the platform design. Teams can also share queries, build on each other’s analysis, and develop a collaborative knowledge layer rather than a personal search tool.
Third, the data privacy add-on directly addresses compliance requirements. Lumnic offers a fully internal deployment option where data never reaches third-party AI models. For organizations operating under GDPR or SOC 2, this removes a procurement blocker that neither Glean nor GoSearch addresses with a dedicated private-deployment path. Security features include encryption, access controls, PII scrubbing, and regular audits.
Billing is pay-as-you-go with no upfront commitment, which removes the procurement friction that makes Glean difficult for mid-market buyers. The platform runs on AWS infrastructure.
Who it is built for
Lumnic is designed for mid-to-large enterprises with 500 to 5,000 employees in knowledge-intensive industries: SaaS, financial services, legal, and professional services. If your team runs five or more SaaS tools simultaneously, operates in a hybrid or distributed environment, and has data privacy or compliance requirements, Lumnic is built around exactly that profile.
Side-by-Side Comparison
| Glean | Microsoft 365 Copilot | GoSearch | Lumnic | |
|---|---|---|---|---|
| Cross-ecosystem coverage | Strong | M365 only | Strong | Full stack (Google, M365, Atlassian, Slack, GitHub, DBs) |
| Natural language query | Yes | Yes | Yes | Yes |
| Workflow agents | Limited | Limited | Secondary feature | First-class capability |
| Collaborative querying | No | No | No | Yes |
| Private deployment option | No | No | No | Yes (data privacy add-on) |
| Pricing | ~$98,700/yr avg | $30/user/month (enterprise) | $20/user/month (Pro) | Pay-as-you-go, no upfront commitment |
| Deployment complexity | High | Low (within M365) | Moderate | Low |
| Best fit | Large enterprise, M365-heavy | Pure M365 orgs | Search-first teams | Mixed-stack, compliance-conscious mid-market |
How to Choose
Choose Glean if you are a large enterprise with a substantial IT team, a procurement budget above $60,000 annually, and a mandate to standardize on a single search layer with deep enterprise support.
Choose Microsoft 365 Copilot if your organization runs almost entirely on Microsoft 365 and your primary goal is AI assistance within that ecosystem. If you use Jira, Confluence, Google Workspace, or Slack in any meaningful way, Copilot will leave gaps.
Choose GoSearch if your primary need is search across connected tools, your budget is constrained, and workflow automation is not a near-term priority.
Choose Lumnic if your team runs a mixed stack across Google Workspace, Microsoft 365, Atlassian, and Slack, you want agents as a real capability rather than a roadmap item, you need a private deployment option for compliance, or you want to move without a six-figure annual commitment.
FAQs
What is the difference between enterprise AI search and regular enterprise search?
Traditional enterprise search returns a list of documents matching keywords. Enterprise AI search understands the intent behind a question, pulls relevant information from across multiple connected sources, and returns a synthesized answer rather than a list of links. In 2026, the stronger platforms also support agents that act on that knowledge — not just retrieve it.
Does Microsoft 365 Copilot work with Google Workspace or Jira?
No. Copilot operates within the Microsoft 365 ecosystem: SharePoint, OneDrive, Outlook, and Teams. It cannot query Google Drive, Gmail, Jira, Confluence, or Slack. Organizations running a mixed stack get limited coverage from Copilot alone.
How does Lumnic handle data privacy for regulated industries?
Lumnic offers a data privacy add-on that keeps all data fully internal — nothing passes to third-party AI models. Security features include encryption, access controls, PII scrubbing, and regular audits, making it suitable for organizations operating under GDPR, SOC 2, or internal data governance requirements.
What is Glean’s pricing in 2026?
Glean’s average annual contract value is approximately $98,700, with a floor near $60,000 per year. Deployment also requires significant IT resources, which adds to the total cost of ownership.
Can enterprise AI search tools replace internal wikis or knowledge bases like Confluence?
Not exactly. Tools like Lumnic connect to Confluence and make its content queryable in natural language, but they do not replace the need to document knowledge in the first place. What they do is make existing documentation far more accessible and cut the time your team spends hunting for information that already exists.
What does “collaborative querying” mean and why does it matter?
Collaborative querying means your team can share saved queries, build on each other’s searches, and develop a shared library of questions and answers rather than each person searching independently. It is a meaningful capability for teams doing research, analysis, or policy work where multiple people need to build on the same knowledge base.
How long does it take to deploy an enterprise AI search tool?
It varies significantly by platform. Glean typically requires substantial IT involvement and a longer onboarding timeline. Lumnic is designed for faster deployment with no upfront commitment, so your team can start getting value without a multi-month implementation project.
The right enterprise AI search tool comes down to your stack, your compliance requirements, and how much you want to spend before you see results. If your organization runs tools across Google Workspace, Microsoft 365, Atlassian, and Slack, a platform that only covers one of those ecosystems is not a unified search layer — it is a partial solution.
Lumnic is built for the mixed-stack, compliance-aware mid-market that the other platforms either price out or underserve. See how it works for your team at lumnic.io.
