How to Choose Enterprise Search Software: An Evaluation Checklist

Choosing enterprise search software is harder than it used to be, because the category has split into several genuinely different approaches. Some tools are broad cross-app answer engines, some are agent-building platforms, some are curated knowledge bases with search bolted on, and some are deep configurable platforms for search teams. This guide lays out the criteria that actually matter and the questions that expose a weak tool in a demo, so you can match a product to your situation rather than to a marketing claim.

A quick note on intent: this is not a ranking designed to crown a single winner. The right choice depends on which apps you use, how strict your security requirements are, and how much setup effort you can absorb. Read the criteria first, then read the tools through that lens. If you want the products themselves side by side rather than the criteria, our ranked comparison of the best enterprise search software puts sixteen enterprise search tools in one table on coverage, citations and published price.

What to evaluate in an enterprise search tool

Before comparing products, decide what good looks like for your organization. These six criteria separate a tool that gets adopted from one that gathers dust.

• Cross-app coverage. Real questions span multiple systems. A tool that only searches one ecosystem will miss the answer whenever it lives somewhere else. Check that it connects to the apps you actually run, for example Google Drive, Slack, Notion, Confluence, Gmail, Jira, and Salesforce.
• Cited answers. A written answer is only useful if you can verify it. Look for inline citations back to the exact source document, message, or record, not just a list of links or an unsourced summary.
• Permission handling. The tool must respect each source's access controls and enforce them per person at query time, so people only ever see what they can already open. This is the difference between a tool you can deploy company-wide and one you cannot.
• Data privacy and no training. Confirm the vendor encrypts your data, follows recognized security practices, and contractually commits never to train its models on your private content.
• Setup effort. Some platforms are a multi-month integration project; others connect with read-only connectors in an afternoon. Be honest about the implementation capacity you have.
• Pricing transparency. Predictable, understandable pricing makes it far easier to plan a rollout and prove value.

The leading enterprise search tools in 2026

Each tool below has real strengths. The goal is to help you see which strengths line up with your needs.

Glean

Glean is widely regarded as the category leader for large enterprises. It offers broad connector coverage, semantic search across many apps, a permission-aware model, and an increasingly capable assistant layer. It is a strong fit for large organizations with the budget and internal resources to support an enterprise deployment. The trade-offs people most often weigh are cost and the implementation effort that comes with an enterprise-grade platform. If you are specifically comparing it, we maintain a detailed Glean alternative page.

GoSearch

GoSearch focuses on unified search and an AI assistant across workplace apps, aiming at fast cross-app answers. It is often considered by teams that want broad search without the heaviest enterprise overhead. As with any tool, validate that its connector list, permission model, and answer citations meet your specific requirements.

Dust

Dust is best understood as an agent and assistant platform. Beyond search, its strength is letting teams build custom AI assistants and workflows on top of connected data. If your goal extends past finding answers into building bespoke internal agents, Dust is worth a look. If your core need is reliable search with cited answers, weigh how much of its capability you will actually use.

Guru

Guru pairs a curated company wiki with search, emphasizing verified, human-maintained knowledge cards alongside connected sources. Its strength is trust through curation: answers can draw on content a person has explicitly verified and kept current. The trade-off is that curation takes ongoing effort, and the value is highest for teams willing to maintain that knowledge base. It is a strong option where authoritative, verified answers matter more than reaching into every raw document.

Coveo

Coveo is a mature, highly configurable search and relevance platform, often used for customer-facing and commerce search as well as internal use. Its strength is depth and tunability: search teams can shape relevance and behavior precisely. That same depth means it is best suited to organizations with the technical resources to configure and maintain it. If you want fine-grained control and have a team to drive it, Coveo is powerful.

Microsoft Copilot

Microsoft Copilot brings AI assistance directly into the Microsoft 365 ecosystem, with strong reach across SharePoint, Outlook, Teams, and other Microsoft surfaces. If your company lives almost entirely in Microsoft 365, the native integration is a real advantage. The main consideration is breadth beyond that ecosystem: if critical knowledge sits in non-Microsoft tools, confirm how well those are covered, usually via Graph connectors or agents you build in Copilot Studio. Licensing is the other thing to pin down before comparing quotes, because Microsoft 365 Copilot, Copilot Business, Copilot Chat and Copilot Studio all price differently under one brand. We break that down in the Microsoft Copilot pricing guide, alongside the Copilot Studio alternative comparison for teams weighing whether to build an agent at all.

ServiceNow Otto

Announced at Knowledge 2026 on May 5, 2026, Otto is ServiceNow's unified AI experience, combining the intelligence of Now Assist, Moveworks and AI Experience into a single conversational layer. ServiceNow says it can search across documents, wikis, databases and SharePoint, delivering direct answers personalized to role, location and department. Its genuine advantage over every pure-play search tool on this list is fulfilment: Otto is built to complete the request, not just answer the question. Two things to weigh. It assumes ServiceNow is your system of record, so the economics only work if that platform gravity already exists, and at announcement it was available in EmployeeWorks and AI Control Tower with a rollout across other products stated for the year ahead, so confirm which of your products it has actually reached. See the ServiceNow Otto alternative breakdown for the full comparison.

Gemini Enterprise

Google launched Gemini Enterprise on October 9, 2025, built on the product it previously called Agentspace. Google describes it as an intranet search, AI assistant and agentic platform with permissions-aware access to enterprise information, and the connector list is broad, covering SharePoint, OneDrive, Teams, Jira, Confluence, ServiceNow, Salesforce, Slack, Notion, Box and many more. The security controls are strong, including VPC Service Controls integration and Customer Managed Encryption Keys. Two things to weigh: it is a Google Cloud product rather than a Workspace add-on, so it needs a cloud project, IAM roles and connector administration, and Google bills it as subscription seats plus separate consumption overage SKUs. Editions start at $21 per seat per month annually for Business and $30 for Standard. See our Gemini Enterprise alternative breakdown and the detail on Gemini Enterprise pricing, or the three-way Gemini Enterprise vs Glean vs Copilot comparison.

Dropbox Dash

Dash is the most transparently priced product on this list, which makes it the easiest to evaluate. Dropbox publishes the rates: Dash for Teams is $15 per user per month billed yearly, or $19 billed monthly, covering up to 100 users with a 30-day free trial, and Dash for Business is $35 per user per month billed yearly only for deployments above 100 users. It connects more than 20 apps including Drive, OneDrive, Slack, Teams, Gmail, Outlook, Notion, Confluence, Jira, Asana, Salesforce, GitHub, Airtable, Canva, Miro and Zoom, holds SOC 2 Type II, and Dropbox states it will not build generative AI models using your content without consent. It is more than search: Stacks, a company directory and the Protect and Control console give you document governance alongside answers. The one thing to model carefully is that step from $15 to $35, which lands exactly when a rollout succeeds and passes one hundred people. See the Dropbox Dash pricing breakdown, which also covers the deployment restrictions Dropbox documents but rarely gets quoted on,, or the head-to-head on Dropbox Dash vs Glean.

InSearch

InSearch is a cross-app AI enterprise search and work assistant. You ask one question in plain English, it searches across every connected app in a single query, and it returns one written answer with inline citations to the exact source documents. It is permission-aware, enforcing each source's access controls per person at query time, so people only ever see what they can already open. It is encrypted, follows recognized security practices, and never trains on your data. Its emphasis is broad cross-app coverage, verifiable cited answers, and an easier start with read-only connectors. You can see the full approach in our enterprise search software overview and review straightforward pricing.

How to make the decision

With the criteria and the field in mind, narrow your choice like this:

1. List the apps that hold your answers. Cross out any tool that does not cover the ones that matter most.
2. Demand to see a cited answer on your own data. If a tool cannot show its sources inline, it cannot earn trust at scale.
3. Pressure-test permissions. Have two people with different access ask the same sensitive question and confirm they get appropriately different answers.
4. Read the data terms. Confirm encryption, security practices, and an explicit no-training commitment in writing.
5. Estimate real setup effort, and weigh it against how soon you need value.

The best enterprise search tool is not the one with the longest feature list. It is the one whose coverage, citations, permission model, and data terms match how your company actually works.

Where InSearch fits in 2026

If your shortlist priorities are broad coverage across all your apps, answers you can verify with inline citations, permission-aware results you can safely give to everyone, and a vendor that never trains on your data, InSearch is built around exactly those priorities. To understand how the cited, cross-app answer differs from a list of links, explore how InSearch works.