10 Best Enterprise Search Software Solutions in 2025

Finding the right information at the right time shouldn’t feel like a wild goose chase. But in most organizations, knowledge is buried in emails, chat threads, meeting notes, siloed documents, and disconnected tools. When employees spend too much time searching—or worse, recreating what already exists—productivity takes a hit, and frustration builds.

Enterprise search software is designed to fix that. Powered by AI, these tools connect your knowledge across apps and teams, giving people fast, accurate answers and a single source of truth. They reduce time lost to manual searching and enable better decision-making, whether you’re in marketing, engineering, HR, or customer success.

In this guide, we’ve rounded up 10 of the best enterprise search software tools. Whether you need smart document search, conversational answers, or connected knowledge hubs, you’ll find something here that fits your team’s workflow.

Why use AI for enterprise search?

Enterprise search isn’t just about locating documents. It’s about enabling employees to move faster, answer questions with confidence, and surface relevant insights across the tools they already use. AI brings structure, context, and speed to the process—without adding another layer of complexity.

• Accelerates information retrieval across scattered sources
• Extracts context from documents, chats, and meetings
• Provides accurate, conversational answers to real queries
• Learns from past behavior to improve relevance
• Minimizes rework by surfacing existing resources

1. ClickUp

ClickUp transforms enterprise search by bringing all your work—tasks, Docs, meetings, and knowledge—into one connected, searchable workspace. Instead of jumping between apps or digging through emails and chat, ClickUp’s AI-powered tools let you ask questions in natural language and get instant, relevant answers from across your entire workspace.

Everything you do in ClickUp feeds into a smart knowledge system that keeps your team aligned, informed, and moving forward.

Here’s how ClickUp supports enterprise search across your workspace:

Get instant answers from your entire workspace with ClickUp Brain

Ask detailed questions like “What did we decide about vendor onboarding?” and instantly receive precise, AI-powered answers pulled from tasks, Docs, meeting transcripts, and comments. No more digging through apps or documents—just actionable insights.

Use case: Search “What did we decide about vendor onboarding?” → Receive a concise summary pulling from all relevant workspace content → Quickly share insights with stakeholders

Never miss a key meeting decision with AI Notetaker

ClickUp Brain automatically joins your Zoom, Google Meet, or Microsoft Teams meetings to record conversations, transcribe them in real time, and generate summaries highlighting key decisions and action items. These are linked directly to projects and tasks—making sure no insight is lost or forgotten.

Use case: Host a project kickoff meeting → AI Notetaker captures and summarizes decisions → Action items are auto-generated and assigned to team members

Turn documents into actionable work with Docs + Tasks

Create living documents fully integrated with your task management. ClickUp Docs support rich formatting and embedded tasks, letting you convert ideas into actionable, trackable tasks without leaving the doc.

Use case: Write a requirements document in Docs → Convert user stories and needs into assignable tasks → Track progress seamlessly within the same workspace

Find anything fast with powerful universal search and filters

Search across all your work—tasks, comments, attachments, and Docs—with customizable filters like assignee, status, tags, and dates using ClickUp Connected Search. Results include context previews to help you verify relevance before opening.

Use case: Search “Quarterly report” → Filter by project and date → Instantly locate the exact document, related discussions, and tasks

See the big picture by connecting related tasks and Docs

Link tasks to Docs, meetings to outcomes, and goals to progress updates. When searching later, view the full network of related information, helping your team understand context and dependencies.

Use case: Connect customer feedback tasks to feature specs and dev tickets → Search a topic → See all related docs and progress updates in one place

Stay aligned with custom dashboards that surface key info

Build personalized dashboards featuring important Docs, search results, project updates, and meeting summaries. Dashboards serve as knowledge hubs, giving your team real-time visibility into what matters.

Use case: Create a “Product launch” dashboard → Pin critical docs, recent meeting notes, and milestone tasks → Share with cross-functional teams for instant updates

🚀 Why ClickUp is a good AI tool for enterprise search?

• You want one connected space for tasks, docs, and meetings
• You’re managing multiple projects with overlapping information
• You need to capture, retrieve, and act on knowledge in one workflow
• You’re looking for a customizable solution that scales with your team
• You want AI-powered answers without switching apps

Try Clickup for Free Today!

2. Glean

Glean is purpose-built for enterprise knowledge discovery across all your tools, offering a Google-like search experience inside your company. It indexes content from Gmail, Docs, Slack, Jira, and Confluence to deliver fast, permission-aware results—no manual tagging needed.

Semantic search that understands natural language and org context

Interprets everyday queries and maps them to relevant content across apps.

Use case: A teammate types “renewal policy” into Glean—files from Drive, Jira, and Slack surface instantly, even if the exact term isn’t used.

AI-generated answers that cite sources across tools

Generates summaries with links to original documents or messages.

Use case: Someone asks “How does PTO approval work?”—Glean replies with the process and links to the Confluence policy page.

Automatic indexing of your knowledge base

Continuously updates and syncs content from all integrated tools.

Use case: An HR doc is added to Notion—Glean indexes it automatically so new hires can find it without asking.

Permission-aware results for secure discovery

Respects user roles and app-level permissions across search results.

Use case: A sales rep searches “pipeline forecast”—Glean shows only the data they’re authorized to see.

Personalized ranking that adapts to you

Surfaces results based on your role, recency, and past behavior.

Use case: Two people search “OKRs”—each sees different docs based on their team and access history.

Knowledge cards to preview and summarize

Displays smart previews with doc owners, last edits, and action items.

Use case: Searching “launch plan” shows a preview of status, owners, and next meeting—no need to open the file.

Why Glean Is a Good Enterprise Search Tool

• Mid-to-large organizations with scattered knowledge across tools
• Teams that need fast, permission-aware search across apps like Gmail, Slack, and Jira
• Employees wasting time trying to remember where information was shared
• Companies seeking contextual, semantic, Google-like internal search
  

3. Elastic

Elastic is a developer-first, open-source platform built on Elasticsearch, ideal for teams that need to manage massive data volumes and deeply customize their enterprise search experience.

Hybrid keyword + vector search for precision

Combines exact keyword matches with vector-based semantic understanding.

Use case: An engineer searches “memory leak logs”—Elastic surfaces logs from various systems even if phrasing differs.

Machine learning for relevance tuning

Learns from user clicks and behavior to reorder and improve search results over time.

Use case: Employees consistently click the third result for “reimbursement”—Elastic moves it higher for future queries.

Custom NLP pipelines with analyzers

Lets you configure tokenizers and stemmers to process content in your domain-specific language.

Use case: A dev team adds synonyms like “PRD” = “Product Requirements Document”—Elastic surfaces more relevant docs.

Kibana dashboards for search visibility

Visualizes search trends, no-result queries, and user activity for analysis.

Use case: HR notices many searches for “vacation policy” via Kibana—adds a new doc to fill the gap.

Developer-friendly REST APIs for integration

Makes it easy to build custom search experiences into internal apps.

Use case: A company embeds a search bar into their HR portal—Elastic fetches real-time results from SharePoint and Confluence.

App connectors for SharePoint, Salesforce, GDrive

Includes built-in integrations to unify knowledge from popular platforms.

Use case: Elastic syncs Salesforce case files + Google Drive docs—searching “Client X” pulls up all related records.

Why Elastic Is a Good Enterprise Search Tool

• Engineering and data-heavy orgs needing scalable, customizable search
• Teams wanting fine-grained control over indexing and ranking
• Dev teams building custom search into internal apps
• Enterprises dealing with vast, unstructured data needing speed + flexibility
  

4. Coveo

Coveo is an AI-powered enterprise search platform designed for employee enablement, customer service, and e-commerce personalization. It excels in delivering relevant content fast, based on user behavior and intent.

Behavior-based learning for dynamic personalization

Tracks user clicks and time on page to adapt rankings in real time.

Use case: People keep clicking the fourth link for “reimbursement policy”—Coveo boosts it automatically.

Smart connectors for structured and unstructured sources

Integrates with tools like Salesforce, Zendesk, and Box to unify knowledge.

Use case: Coveo indexes product manuals from Confluence + tickets from Zendesk—support agents get answers in one search.

Intent detection and semantic matching

Understands what the user is trying to do and adjusts results accordingly.

Use case: A user types “start benefits”—Coveo shows onboarding steps instead of unrelated HR articles.

AI ranking console for content strategists

Lets teams manually promote or demote content using a visual dashboard.

Use case: HR promotes a new expense policy doc to the top of results—without editing metadata.

Search analytics for content gap detection 

Highlights queries with no or low-quality results to drive content updates.

Use case: “Team structure” has high bounce—HR creates a new org chart to fill the gap.

Conversational search with knowledge previews

Users get previews and summaries via chat-like search for faster decisions.

Use case: A user types “latest OKR process” in chat—Coveo provides a summary + link to the policy.

Why Coveo Is a Good Enterprise Search Tool

• Customer support and service teams needing fast, relevant answers
• Businesses wanting behavior-driven personalization across web and internal content
• Teams that benefit from dynamic content promotion and analytics
• Enterprises seeking search tuned to intent and query behavior

5. Microsoft Search

Microsoft Search is built directly into Microsoft 365 and provides a secure, permission-aware search experience across Outlook, Teams, SharePoint, OneDrive, and Office apps.

Automatically surfaces files, meetings, and chats without setup.

Use case: An employee searches “quarterly review deck” in Outlook—Microsoft Search finds the PowerPoint in SharePoint instantly.

Semantic understanding tuned to company language

Uses Microsoft Graph to interpret company-specific terminology.

Use case: A teammate searches “budget tracker”—results show the correct “Finance Summary” doc despite naming differences.

Results tailored by user role and history

Search results reflect permissions, department, and past behavior.

Use case: An HR manager searches “training”—they see onboarding modules, while marketing sees brand assets.

Copilot integration for conversational search

Generates AI-powered responses and next steps across apps.

Use case: A user asks “What’s the status of Project Atlas?”—Copilot summarizes Planner tasks, Teams messages, and Word docs.

Task and meeting info surfaced inline

Shows upcoming events and files linked to conversations.

Use case: Searching “vendor kickoff” pulls up the invite, shared doc, and action items.

Optimized for mobile and remote teams

Enables search from any device with offline access support.

Use case: A remote manager uses Teams mobile app to search “Q3 pipeline”—instantly finds the Excel file on OneDrive.

Why Microsoft Search Is a Good Enterprise Search Tool

• Teams already working inside Microsoft 365 apps like Outlook and Teams
• Enterprises with strong compliance and permission structures
• Organizations preferring native integration without third-party tools
• Users needing Copilot-powered search and cross-app context

6. Algolia

Algolia is a developer-centric search platform known for lightning-fast performance and robust customization. Originally built for e-commerce, it also excels in internal enterprise use cases where speed, UX, and flexibility matter.

Search-as-you-type with typo tolerance

Returns instant results with each keystroke—even with misspellings.

Use case: A user types “reimbrsmt”—Algolia instantly pulls up the correct “Reimbursement Policy.”

AI-powered ranking with behavioral tuning

Adapts to user behavior to push high-performing content to the top.

Use case: Employees frequently click a video for “benefits enrollment”—Algolia ranks it higher for future queries.

Federated search across systems

Unifies content from multiple tools into one result view.

Use case: Searching “product feedback” shows Jira tickets, Confluence pages, and Airtable entries together.

Customizable UI and front-end libraries

Lets devs build beautiful, branded search interfaces with widgets or custom code.

Use case: The HR team adds a polished search bar to their internal site—with filters by department.

Search analytics and A/B testing

Tracks search behavior and lets teams experiment with result layouts.

Use case: An HR team runs A/B tests on “training” result cards—chooses the version with better click rates.

Multilingual support with relevance matching

Understands and ranks content in multiple languages natively.

Use case: An employee searches “política de vacaciones”—Algolia shows the Spanish vacation policy.

Why Algolia Is a Good Enterprise Search Tool

• Teams that prioritize speed, typo tolerance, and UI customization
• Dev teams building branded, front-end search experiences
• Companies wanting behavioral tuning without complex setup
• Teams needing multilingual, federated search across platforms

7. Sinequa

Sinequa delivers AI-powered enterprise search for large organizations, especially in regulated or data-rich industries like pharma, finance, and law. It connects to both modern and legacy systems and handles multilingual, unstructured content with precision.

Deep NLP for documents, emails, and transcripts

Extracts meaning and entities from varied formats to improve relevance.

Use case: Searching “FDA submission” pulls insights from PDFs, internal emails, and PowerPoint notes.

Over 200 prebuilt connectors for legacy apps

Works with tools like SAP, Documentum, and OpenText to centralize access.

Use case: Compliance teams access policies from SharePoint and audit data from SAP in one search.

Domain-specific AI models

Tailors relevance algorithms for sectors like clinical research or legal.

Use case: A pharma researcher searches “compound stability”—gets accurate matches using technical vocabulary.

Smart snippets with semantic highlighting

Shows exact excerpts with keywords in context.

Use case: Searching “customer escalation” previews the clause inside a support doc—no need to open full file.

Granular access control and audit logs

Enforces strict permissions and tracks usage for sensitive content.

Use case: Legal users see full contracts; others see redacted versions based on role.

AI-driven content enrichment

Adds metadata, tags, and entity recognition automatically.

Use case: Uploads of NDAs trigger tagging of contract party, renewal dates, and sensitivity level.

Why Sinequa Is a Good Enterprise Search Tool

• Regulated industries like pharma, finance, and legal
• Orgs with legacy and modern systems needing one search hub
• Teams requiring smart previews, entity recognition, and deep NLP
• Businesses focused on access control, compliance, and auditability

8. Lucidworks

Lucidworks is a smart search platform that uses AI, behavior signals, and content modeling to personalize search at scale. Its Fusion engine learns from patterns and offers team-specific experiences across departments.

Signals-based ranking engine

Learns from clicks, scrolls, and queries to optimize relevance.

Use case: New employees searching “expense process” are guided to the most helpful onboarding doc.

Prebuilt connectors + extensible APIs

Integrates easily with platforms like Salesforce, Box, and SharePoint.

Use case: The finance team accesses SharePoint policies + Salesforce cases from one search interface.

Natural language query interpretation

Understands full questions and matches them with intent.

Use case: Typing “How do I get paid faster?” pulls finance workflows and FAQs.

ML model training interface for admins

Lets admins experiment with weightings and test model performance.

Use case: During critical outages, IT boosts all results tagged “urgent” without code changes.

Personalized dashboards by department

Auto-curates search views for different teams.

Use case: Sales sees pricing sheets and decks; HR sees onboarding flows by default.

Detailed analytics on search impact

Tracks performance of search terms and shows improvement opportunities.

Use case: “W-9 form” shows high drop-off—HR updates it for clarity.

Why Lucidworks Is a Good Enterprise Search Tool

• Enterprises that want behavior-driven, personalized search at scale
• Teams with varied roles needing tailored search experiences
• Admins who want to train and tune ML models without coding
• Orgs looking for robust analytics to improve search outcomes
  

9. Neeva

Neeva is a privacy-first, AI-native internal search tool with a conversational interface. It’s ideal for teams that want fast, generative answers with citations from across their workplace apps.

Generative answers with citations

Summarizes answers with source links embedded.

Use case: Ask “What’s our pricing model?”—Neeva shows a paragraph summary + links to the pricing doc and Notion.

Conversational UI for natural queries

Lets employees use full-sentence questions instead of keywords.

Use case: Type “What do I need for international travel approval?”—get steps + the correct form link.

Index across common workplace apps

Connects to Slack, Google Drive, Confluence, and more.

Use case: Search “QBR presentation”—Neeva shows slides from Drive + notes from Slack.

Granular permissioning and privacy controls

Ensures users only see what they’re allowed to.

Use case: A manager sees bonus policy details; others see a redacted overview.

Inline previews with smart highlights

Lets users preview matched content before clicking.

Use case: Search “OKR template”—view the format right in search results.

Fast setup with private hosting options

Deploys quickly and can run in private cloud environments.

Use case: A 200-person company rolls out Neeva internally in one day—with no external data exposure.

Why Neeva Is a Good Enterprise Search Tool

• Privacy-focused companies needing secure, internal AI search
• Small to mid-sized teams looking for fast, conversational answers
• Teams using Slack, Notion, and GDrive in their daily flow
• Users who value citation-backed summaries and rapid setup
  

10. Yext

Yext transforms structured help content into a powerful, AI-enhanced search system for websites, portals, and intranets. It excels at returning accurate, context-aware answers for policies, how-tos, and support content.

Knowledge graph for structured content

Links related topics and entities for smarter retrieval.

Use case: Update a PTO doc—linked FAQs and policies reflect changes automatically.

Semantic matching with NLP

Understands intent behind imperfect or vague queries.

Use case: Type “getting paid”—Yext returns payroll policies and invoicing instructions.

AI chatbot builder for internal support

Lets teams build chatbots that serve up instant answers—no code needed.

Use case: HR deploys a chatbot to handle “How many sick days?” questions in seconds.

Embeddable widgets and APIs

Adds powerful search to any internal portal or help site.

Use case: A finance team embeds search on their page—employees find forms instantly.

Voice and mobile-ready search

Supports mobile lookups and voice input for hands-free use.

Use case: A field rep speaks “Safety checklist” into the app—Yext pulls it up instantly.

Search insights and performance tracking

Reveals what users search, skip, or struggle with.

Use case: “Remote policy” queries spike—IT adds a new resource page in response.

Why Yext Is a Good Enterprise Search Tool

• Organizations managing structured help and FAQ content
• Teams building internal help sites or portals with rich documentation
• HR, IT, and support teams needing AI chat + voice-ready search
• Businesses that want performance tracking across help resources

Final thoughts: Build Clarity Into Every Search

AI-powered enterprise search tools save time and improve how teams think, collaborate, and solve problems. By connecting scattered knowledge and surfacing it when it matters, these tools remove unnecessary complexity from your day.

You don’t have to overhaul everything overnight. Start with one solution that meets your team’s needs and build from there.

You’re not behind. You’re building better with smarter tools.