If you’ve ever typed a question into your company’s intranet and gotten back a jumbled mess of outdated PDFs and random Slack threads, you’re not alone.
We found that 1 in 5 professionals spends 3+ hours daily just looking for files, messages, or additional context on their tasks. That’s nearly 40% of a full workweek wasted on something that should only take seconds!
Traditional intranet search engines struggle to keep up with the growing complexity of internal knowledge, with information scattered across tools like Google Drive, Notion, SharePoint, Confluence, Slack, and your project management platform.
The way out?
AI intranet search tools.
These next-gen platforms use natural language processing (NLP), retrieval-augmented generation (RAG), and context-aware algorithms to understand your search queries and actually deliver the right documents, answers, or summaries, right when you need them.
In this post, we’ll break down the best AI intranet search tools to consider this year. We’ll cover real use cases, standout features, limitations, pricing, and user reviews. Whether you’re scaling a fast-moving startup or managing knowledge across a global enterprise, there’s a tool in here for you to gain valuable insights! 🕵️♀️
Choosing the right intranet search solution can significantly boost team productivity, reduce context-switching, and improve knowledge reuse. Here’s what to prioritize:
- Federated search capabilities: Look for tools that search across multiple platforms—your intranet, cloud drives, task managers, and wikis—without needing separate queries for each
- Natural language understanding (NLU): The way we search has changed, moving from keywords to conversations. Solid AI search should grasp questions like “Where is the latest Q3 roadmap?” and not require keyword-perfect inputs
- Context-aware results: Advanced tools return results based on user roles, access levels, recent activity, or organizational hierarchy, so employees only see what’s relevant to them. This saves time and boosts individual productivity
- AI-powered summaries and answers: The best platforms don’t just list documents—they generate summaries, extract key info, or provide direct answers, using techniques like RAG or fine-tuned LLMs
- Strong data security and access control: Make sure the solution supports SSO, audit logs, and permission-based indexing to avoid internal data leaks
- Search analytics and feedback loops: Look for platforms that help you identify content gaps, measure search success rates, and learn from user behavior to improve results over time
- Easy deployment and integrations: Plug-and-play integrations for your existing stack—Google Workspace, Office 365, Slack, , Jira, and others—make the setup simpler and get you results faster
📮 Insight: The average professional spends 30+ minutes a day searching for work-related information—that’s over 120 hours a year lost to digging through emails, Slack threads, and scattered files. An intelligent AI assistant embedded in your workspace can change that. Enter Brain. It delivers instant insights and answers by surfacing the right documents, conversations, and task details in seconds—so you can stop searching and start working.
💫 Real Results: Teams like QubicaAMF reclaimed 5+ hours weekly using —that’s over 250 hours annually per person—by eliminating outdated knowledge management processes. Imagine what your team could create with an extra week of productivity every quarter!
| Tool | Key features | Best for | Pricing* |
|---|---|---|---|
| – Connected Search across tasks, docs, Slack, Drive – Brain + Autopilot Agents for proactive action – Auto-summarize docs, generate subtasks, and fetch data from connected apps – Launch internal wikis with templates and verified content |
Small to enterprise teams needing centralized AI-powered search + workflow automation | Free plan available; Customizations available for enterprises | |
| Glean | – Role-personalized answers across apps (Drive, Slack, Jira) – Unified knowledge graph with acronym/context awareness – Multi-step task execution via AI Assistant layer |
Mid-sized to enterprise teams with complex app ecosystems | Custom pricing |
| Coveo | – Context-aware, role-based search with RAG – Adaptive AI ranking, rules engine, auto-suggestions – Agent Assist for internal help desks |
Enterprise support teams and regulated industries | Custom pricing |
| Guru | – AI-powered knowledge cards with Slack/Teams integration – Knowledge Agents to monitor and update stale info – Usage analytics and peer-reviewed content |
Knowledge-centric teams building internal wikis with trusted info | Free trial (30 days); Paid from $18/user/month; Custom pricing for enterprises |
| Qatalog | – Zero-index federated search across G Suite, Slack, Salesforce – RAG-backed answers in shared query threads – Query annotation and enterprise compliance |
Fast-moving small to mid-sized teams needing fast setup with robust collaboration | Free trial (14 days); Paid from $15/user/month; Custom pricing for enterprises |
| Elastic Search | – Full-text + vector search with DevOps control – Open-source, scalable, customizable – Analytics via Kibana + LLM support |
DevOps-heavy teams and technical orgs building tailored search systems | Free trial (14 days); Custom pay-as-you-go pricing |
| Algolia | – API-first design with neural search and typo tolerance – Real-time indexing with <50ms response – Role-based filters and dynamic faceting |
Product and engineering teams seeking fast, intelligent in-app search | Free plan (10k searches/month); Paid from $0.50/1k queries; Custom pricing for enterprises |
| Sinequa | – Semantic search across 200+ content sources – Role-specific Assistants + prebuilt industry apps – No-code NLP flows + strong security |
Enterprises in regulated industries needing deep, multilingual search | Volume-based custom pricing |
| IBM Watson Discovery | – Passage-based answers, OCR, entity/sentiment analysis – Smart Document Understanding + relevance modeling – Integration via APIs and analytics dashboards |
Legal, compliance, and enterprise teams analyzing large document sets | Free trial; Paid plans from $500/month; Enterprise and premium tiers: Custom pricing |
| Google Cloud Vertex AI Search | – Semantic + vector search with RAG grounding – Easy embed and tuning, integrates with BigQuery, GCS – No-code UI for setup and management |
Enterprises already on Google Cloud that need low-lift intelligent search | Custom pricing |
| Korra.ai | – Chat-based assistant with rich citations – Search across docs, tickets, videos – Learns internal vocab and escalates complex queries |
Small to mid-sized teams using chat-based internal support | Custom pricing |
| Slab | – Beautiful knowledge base with rich formatting – Smart contextual suggestions and search insights – Easy doc hierarchy and real-time collaboration |
Small to mid-sized teams creating simple, structured internal wikis | Free plan (up to 10 users); Paid from $8/user/month; Custom pricing for enterprises |
| Microsoft Viva | – Embedded knowledge cards across Teams, Outlook, SharePoint- Modules for learning, connections, pulse, and insights – Auto-tagging + privacy-first productivity analytics |
Microsoft 365-based enterprises building unified employee experiences | Paid plans from $4–$12/user/month depending on module; Custom pricing for enterprises |
How we review software at
Our editorial team follows a transparent, research-backed, and vendor-neutral process, so you can trust that our recommendations are based on real product value.
Here’s a detailed rundown of how we review software at .
Can an AI intranet tool really check all the boxes we listed above? Well, some of them do. Here they are:
1. (Best for small to enterprise teams needing centralized AI-powered search + workflow automation)
As the everything app for work, tackles the root cause of broken intranet search—tool sprawl and scattered knowledge. Instead of needing you to stitch together answers across dozens of disconnected apps, centralizes your tasks, docs, wikis, and conversations in one searchable, AI-powered workspace.
’s powerful Connected Search not only indexes and surfaces this data but also integrates your knowledge from external, connected apps like Google Drive, Slack, GitHub, and Figma.
Pair it with ’s native AI, Brain, and you’ve got a unified, intelligent intranet experience that retrieves, understands, and acts on information most valuable to you.
The result? You get to ask everyday questions like “What did we discuss in the last client meeting?” or “Show me the Q2 roadmap,” and get instant, accurate context-aware answers.
Together, these systems leverage company-wide context to not only bring up matching items but also summarize insights from them—or even take action.
For example, you can ask AI to:
- Summarize a task activity thread and post updates in an AI Custom Field
- Generate subtasks from overarching Tasks and their descriptions
- Create a meeting agenda based on context, or
- Extract info from a Google Sheet
All of this happens without jumping between tools and taking 23 minutes to reset attention each time you do!
These AI knowledge management features inside let you probe years-deep workspace history. They deliver longer, more thorough results buried in legacy docs and tasks—great for recurring projects or compliance audits.
And since search behavior in is personalized and optimized with ranking signals and filters, you get faster, more relevant query results. Just ask early employees at , “search is historically the fastest and most relevant it has ever been.”
But this isn’t even the best part.
Once AI surfaces a summary or link, it keeps the workflow going. From that prompt view, you can convert results to tasks or docs, copy findings, or follow AI suggestions to dive deeper. Coupled with ’s Automations and Autopilot Agents, this turns search into a workflow—not just a tool—reducing manual context-switching and streamlining daily operations.
In knowledge management workflows, Autopilot Agents streamline maintenance and retrieval by:
- Auto-generating knowledge summaries whenever new documentation is published
- Tagging and categorizing updated policy docs automatically
- Answering questions instantly by fetching and referencing connected workspace resources when employees search
’s intranet search isn’t just about passively finding documents—it’s about understanding them, acting on them, and keeping everything connected in one centralized workspace.
And if you want to set up your knowledge base from scratch, ’s got many free templates to choose from, too.
The Knowledge Base Template provides a ready-made framework to build your internal knowledge hub. With sections for articles, FAQs, and resource libraries, it mirrors a polished help center. You get built-in organizational tools such as nested pages and page hierarchy to ensure a coherent structure.
Why try it:
- Enables teams to launch a knowledge base almost instantly, without overthinking the layout
- Ensures consistent categorization and formatting, steering contributors with structure
- Improves discoverability through integrated search, tags, and hierarchy
best features
- Access, filter, and sort all your Docs and wikis from a centralized hub—complete with AI tags, verified content, and search filters
- Use the prebuilt Auto-Answers Agent to autonomously respond to team questions in Chat in real time, pulling data from Docs, tasks, and connected apps
- Import and centralize your team’s knowledge. Bring in documents and spreadsheets from Google Drive, Excel, and other tools securely—then manage them in a unified library
- Launch polished Wiki-style spaces in minutes. Choose from templates or convert any Doc into a wiki with rich formatting, embedded media, checklists, and code blocks
- Keep content fresh with ’s live collaboration, Chat, and threaded comments
limitations
- While Brain and Autopilot Agents are powerful, their effectiveness depends on how well your workspace is structured (e.g., naming conventions, permissions, content hygiene)
pricing
free forever
Best for personal use
Free Free
Key Features:
unlimited
Best for small teams
$7 $10
Everything in Free Forever plus:
business
Best for mid-sized teams
$12 $19
Everything in Unlimited, plus:
enterprise
Best for many large teams
Get a custom demo and see how aligns with your goals.
Everything in Business, plus:
* Prices when billed annually
The world’s most complete work AI, starting at $9 per month
Brain is a no Brainer. One AI to manage your work, at a fraction of the cost.
Try for free
ratings and reviews
- G2: 4.7/5 (10,300+ reviews)
- Capterra: 4.6/5 (4,400+ reviews)
What are real-life users saying about ?
A G2 review calls a powerhouse app:
🧠 Fun Fact: 88% of our survey respondents use AI tools for personal tasks every day, and 55% use them several times a day. What about AI at work? With a centralized AI powering all aspects of your project management, knowledge management, and collaboration, you can save up to 3+ hours each week, which you’d otherwise spend searching for information, just like 60.2% of users!
2. Glean (Best for mid-sized to enterprise teams with complex app ecosystems)
Glean’s enterprise search connects to every workspace you’re already using—Google Drive, Slack, Confluence, GitHub, Jira—and builds a unified knowledge graph that understands acronyms, internal language, and project context.
When someone asks a question, Glean doesn’t just fetch docs—it delivers a summarized, role-personalized answer that saves teams time and energy.
Its Assistant layer also supports multi-step prompts and agentic task execution, so it can suggest drafting emails, setting meetings, or prioritizing your to-do list based on natural-language instructions.
Glean best features
- Connect all workplace apps instantly—no retooling required
- Personalize search results based on roles and recent activity
- Summarize complex threads or documents into bite-sized answers
- Protect data with enterprise-grade security and compliance
Glean limitations
- Prices for Glean are premium and not publicly listed
- The setup can be complex, especially managing data-source permissions
- Lacks flexible trial options
Glean pricing
Glean ratings and reviews
- G2: 4.8/5 (130+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about Glean?
A review on G2 reads:
3. Coveo (Best for enterprise support teams and regulated industries)
Coveo elevates intranet search into a context-aware relevance engine powered by generative AI. It indexes multiple data sources—Salesforce, ServiceNow, SharePoint, and intranet portals—and then uses machine learning to adapt results to each user’s role, behavior, and query patterns.
As you type, Coveo suggests completions, surfaces relevant documents, and can even offer personalized recommendations for knowledge articles or workflows. Its flexible rules engine allows admins to fine-tune relevance, while Agent Assist and Self‑Service extensions make it powerful for internal help desks. Coveo works best when your enterprise needs precision, personalization, and proactive discovery at scale.
Coveo best features
- Optimize query relevance with adaptive AI ranking
- Suggest completions and content as users type
- Integrate seamlessly with key enterprise intranet platforms (ServiceNow, Salesforce, Slack)
- Recommend knowledge and workflow items contextually
- Refine relevance via the rules engine and usage analytics
Coveo limitations
- Pricing may feel steep for mid-size teams
- Requires configuration (index tuning, relevance rules) to hit peak performance
Coveo pricing
- Pro: Custom pricing
- Enterprise: Custom pricing
Coveo ratings and reviews
- G2: 4.3/5 (130+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about Coveo?
A user on G2 shares:
4. Guru (Best for knowledge-centric teams building internal wikis with trusted info)
Guru combines enterprise search, a wiki, and an AI-powered knowledge base into one seamlessly integrated intranet system.
When users search, Guru surfaces relevant “cards” (bite-sized knowledge units), enriches them with context from Slack, Teams, or browser extensions, and can even suggest answers proactively based on user role and behavior.
Its Knowledge Agents monitor source content and can automatically update or flag stale information. For teams tired of outdated pages or “link rot,” Guru brings structure and trust to organizational knowledge—while still allowing natural‑language searches and Slack‑style threads for discussions.
Guru best features
- Access peer-reviewed, verified knowledge cards for accurate and fresh information
- Proactively check content and send update reminders with Knowledge Agents
- Identify knowledge gaps and content usage trends with rich analytics
Guru limitations
- Requires discipline to maintain card reviews—can stagnate if neglected
- UI-centric; heavy information architectures may feel cluttered
- Advanced analytics and agents are available only in higher tiers
Guru pricing
- Free trial: 30 days
- All-in-one: $18/user/month
- Enterprise: Custom pricing
Guru ratings and reviews
- G2: 4.7/5 (2,150+ reviews)
- Capterra: 4.8/5 (620+ reviews)
What are real-life users saying about Guru?
This is what a Capterra reviewer said:
👀 Did You Know? 1 in 4 employees uses four or more tools just to build context at work. A key detail might be buried in an email, expanded in a Slack thread, and documented in a separate tool, forcing teams to waste time hunting for information instead of getting work done.
5. Qatalog(Best for fast-moving small to mid-sized teams needing fast setup with robust collaboration)
Qatalog turns scattered documents, databases, and inboxes into a connected “smart hub”. It offers real‑time federated search with RAG capabilities—so you get context-backed answers, not just links. Because it doesn’t index or duplicate data, everything stays in place while being instantly accessible via connectors to Google Workspace, Salesforce, Slack, Snowflake, and more.
Qatalog’s UX is also built for live collaboration: query history, shared boards, and threaded answers make finding and distributing findings easy.
Qatalog best features
- Implement in hours, not months, with a zero‑index architecture. Live pull from sources ensures always‑fresh data with no duplication
- Access out‑of‑the-box integrations to G Suite, Slack, Salesforce
- Annotate, share, and discuss relevant search results inline with collaborative query spaces
- Ensure enterprise-grade compliance with a security‑first design and built‑in permission inheritance
Qatalog limitations
- Fewer advanced AI capabilities like web‑style generative responses
- May struggle with complex nested data in proprietary databases
- At scale, live querying can be slower than indexed systems for large companies
Qatalog pricing
- Free trial: 14 days
- Pro: $15/user/month
- Enterprise: Custom pricing
Qatalog ratings and reviews
- G2: 4.2/5 (40+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about Qatalog?
A G2 user appreciates the search and collaboration features in Qatalog:
6. Elastic Search (Best for DevOps-heavy teams and technical orgs building tailored search systems)
Elastic Search is the trusted backbone for full‑text, vector, and AI-powered intranet search. Built on Apache Lucene, it supports scalable, distributed search with real-time indexing, vector similarity, and rich analytics via Kibana.
The Elastic Cloud offers serverless or hosted options: you pay only for what you ingest or query, with LLM-powered features and vector search built-in.
Ideal for teams with in-house dev operations or complex compliance needs, Elastic lets you build anything from simple intranet search to advanced AI catalogs—though it demands more setup and DevOps than plug-and-play tools.
Elastic Search best features
- Deploy your own search pipelines with full schema, index, and node control
- Scale seamlessly with horizontal shards, replicas, and vector indexes included
- Query your knowledge base via structured, full-text, and semantic vector search
- Analyze usage and metrics using built-in Kibana dashboards
- Extend capabilities with LLMs, alerts, and custom plugins/API
Elastic Search limitations
- Requires internal DevOps; not turnkey for non-technical teams
- Resource-based pricing can get expensive
Elastic Search pricing
- Free trial: 14 days
- Custom, pay-as-you-go pricing based on the cloud provider, region, and whether you choose hosted or serverless deployment,
Elastic Search ratings and reviews
- G2: 4.3/5 (200+ reviews)
- Capterra: 4.5/5 (40+ reviews)
What are real-life users saying about Elastic Search?
Here’s a G2 reviewer’s opinion:
7. Algolia (Best for product and engineering teams seeking fast, intelligent in-app search)
Algolia brings AI-augmented search into your intranet, transforming buried content into instantly accessible knowledge. Its API-first design delivers sub-50 ms responses, and supports dynamic faceting, typo tolerance, synonyms, and geolocation filters—so when someone searches “Q4 sales deck,” Algolia delivers the exact deck, context first.
Built-in AI enhancements like neural search and query suggestions help surface relevant content even when users use vague terms .
Algolia best features
- Deploy instant search experiences with minimal dev effort through REST APIs and prebuilt UI libraries
- Visualize analytics (via Insights API) to optimize content discovery
- Scale elastically across millions of records with A/B testing
- Secure sensitive data with SSO/SAML, encryption, and permission filtering
Algolia limitations
- Pay-as-you-go pricing can spike based on high query volume
- Requires developer setup. Non-technical teams need support
- AI recommendations are gated behind add‑ons, raising costs for full feature use
Algolia pricing
- Build (Free): Up to 10k searches/month
- Grow (Pay as you go): Free tier + $0.50 per 1k extra searches, $0.40 per 1k extra records
- Premium: Custom pricing, billed annually
- Elevate: Custom pricing, billed annually
Algolia ratings and reviews
- G2: 4.5/5 (400+ reviews)
- Capterra: 4.7/5 (70+ reviews)
What are real-life users saying about Algolia?
This was a Capterra user’s experience with Algolia:
8. Sinequa (Best for enterprises in regulated industries needing deep, multilingual search)
Sinequa offers a powerful, GenAI-powered search assistant tailored for enterprise-grade knowledge discovery. It connects over 200 content repositories (ERP, CRM, file systems) and uses NLP plus machine learning to provide accurate answers with no AI hallucinations.
A no-code Assistant builder effortlessly configures role-based workflows—legal teams, lawyers, and engineers—turning search into a proactive knowledge assistant. It’s ideal for regulated enterprises with huge data volumes.
Sinequa best features
- Understand queries semantically using concept-based NLP in 21+ languages
- Build custom search assistants with no-code flow designers
- Deploy prebuilt apps for industry verticals (R&D, compliance)
- Secure sensitive content with fine-grained access control
- Get full-featured access without the hidden costs of extra modules or add-ons
Sinequa limitations
- Volume-based pricing can become expensive as data scales
- Requires planning and configuration—less turnkey than SaaS
- Enterprise focus may exceed the needs for small teams
Sinequa pricing
- Volume-based custom pricing
Sinequa ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
What are real-life users saying about Sinequa?
Straight from a G2 review:
9. IBM Watson Discovery (Best for legal, compliance, and enterprise teams analyzing large document sets)
IBM Watson Discovery combines AI-powered search with deep document insights and extraction. Using Smart Document Understanding, it ingests PDFs, tables, and docs, then provides passage-level answers, sentiment analysis, and entity extraction.
It includes built-in OCR, NLP customization, and a powerful relevance model—ideal for legal discovery, support portals, and internal Q&A bots . With analytics dashboards and API access, you get full visibility on usage and can adapt the model over time.
IBM Watson Discovery best features
- Extract entities, sentiment, and passages from unstructured docs
- Process images & search PDFs using integrated OCR
- Integrate via API into bots, apps, and backend systems
IBM Watson Discovery limitations
- Higher pricing tiers are required for large datasets or query volume
- The setup is complex and may require IBM support or consulting
IBM Watson Discovery pricing
- IBM Cloud Pak for Data cartridge: Custom pricing
- Plus: Starts at $500/month (30-day free trial)
- Enterprise: Starts at $5,000/month
- Premium: Custom pricing
IBM Watson Discovery ratings and reviews
- G2: 4.5/5 (90+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about IBM Watson Discovery?
A G2 review highlights that the tool is:
📮 Insight: We recently discovered that about 33% of knowledge workers message 1 to 3 people daily to get the context they need. But what if you had all the information documented and readily available?
With Brain’s AI Knowledge Manager by your side, context switching becomes a thing of the past. Simply ask the question right from your workspace, and Brain will pull up the information from your workspace and/or connected third-party apps!
10. Google Cloud Enterprise Search aka Vertex AI Search (Best for enterprises already on Google Cloud needing low-lift intelligent search)
Vertex AI Search is Google Cloud’s enterprise search offering that crawls your data—websites, Cloud Storage, BigQuery—and offers semantic and vector search with instant autocomplete and relevance tuning. The results are grounded, reliable, and contextually accurate.
With minimal setup, teams can embed a search bar or power chatbots with factual responses using RAG. Scalable, secure, and managed, Vertex AI Search is ideal for organizations invested in the Google Cloud stack that aim to augment LLMs with real data.
Google Cloud Enterprise Search best features
- Ground AI with RAG for accurate, citation-backed answers
- Implement autocomplete and reranking with intuitive tuning tools
- Embed search widgets or power generative agents via APIs
Google Cloud Enterprise Search limitations
- Requires a Google Cloud account and some setup via the Vertex Console
Google Cloud Enterprise Search pricing
Google Cloud Enterprise Search ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
What are real-life users saying about Google Cloud Enterprise Search?
A G2 review points out:
11. Korra.ai (Best for small to mid-sized teams using chat-based internal support)
Korra.ai uses AI-powered chat to turn your intranet into a proactive knowledge assistant. It crawls platforms like Confluence, Jira, Google Drive—and even video content—then wraps answers in a conversational interface with rich citations.
Beyond delivering quick info, Korra tracks queries over time, learning your team’s unique vocab and use cases. For internal support or onboarding, Korra can answer FAQs, suggest document links, and escalate issues to human experts when needed.
Korra.ai best features
- Connect your existing content silos (docs, videos, ticket systems)
- Answer via chat with citation-highlighted sources
- Learn domain-specific terms automatically from past searches
- Escalate unresolved questions to teammates
Korra.ai limitations
- Best suited for chat-first workflows, less so for bulk document search
- The quality of results depends on well-structured source tagging
Korra.ai pricing
Korra.ai ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
What are real-life users saying about Korra.ai?
A Capterra user says:
12. Slab (Best for small to mid-sized teams creating simple, structured internal wikis)
Need a simple yet powerful knowledge base sharply focused on team productivity? That’s Slab for you!
With rich formatting, intuitive document hierarchy, and robust integrations (Slack, Google, GitHub, and more), it makes content contribution and discovery effortless. Its AI-enhanced search highlights query matches in context and surfaces suggested related content, drastically reducing lookup time.
Slab best features
- Build beautifully organized docs using collections, topics, and rich embeds
- Suggest relevant pages during writing or browsing
- Collaborate in real time with comments, mentions, and version history
- Track engagement via search insights and content analytics
Slab limitations
- Lacks advanced AI ranking or multi-source RAG capabilities
- Deep hierarchies can feel cumbersome for large knowledge libraries
Slab pricing
- Free: Up to 10 users
- Startup: $8/user/mo
- Business: $15/user/month
- Enterprise: Custom pricing
Slab ratings and reviews
- G2: 4.6/5 (280+ reviews)
- Capterra: 4.9/5 (40+ reviews)
What are real-life users saying about Slab?
Here’s how a G2 review reads:
13. Microsoft Viva (Best for Microsoft 365-based enterprises building unified employee experiences)
Microsoft Viva brings intelligence to your Microsoft 365 suite by weaving AI-powered knowledge discovery, experience analytics, and communication tools into everyday workflows.
Viva Topics uses machine learning to auto-tag and curate topic cards that surface dynamically in Teams, SharePoint, and Outlook, opening knowledge with a click.
Viva Insights provides both personal productivity nudges and organizational analytics.
And the Viva Suite includes Connections (company news and communities), Learning, Glint, Pulse, and more—delivering a unified employee experience.
Microsoft Viva best features
- Surface topic cards that have been auto-generated from your content
- Embed knowledge in Teams, Outlook, and SharePoint natively
- Improve team health with privacy-first productivity insights
- Foster communities and learning via Connections and Learning modules
- Bundle modules seamlessly with a single license in the Viva Suite
Microsoft Viva limitations
- Requires Microsoft 365 F1/F3/E3+ and dependent Teams adoption
- Most modules require separate licensing, which adds to complexity and tool sprawl
- Overlaps with existing intranet or analytics solutions for some orgs
Microsoft Viva pricing
- Viva Topics: $5/user/month
- Viva Insights: $4/user/month for premium personal + advanced features; Manager/Leader insights at $6/user/mo
- Viva Suite: $12/user/month
Microsoft Viva ratings and reviews
- G2: 4.5/5 (40+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about Microsoft Viva?
A Capterra user shares:
The right AI intranet search tool depends on how your team works and where your knowledge lives.
If you’re looking for highly specialized chat-based assistants, Korra.ai and Glean shine. Dev-led teams might gravitate toward Elastic Search or Algolia for complete customization. And tools like Slab and Guru are great for building structured internal wikis with smart AI layers.
But if you’re looking for a centralized, AI-powered workspace where search is just one part of the productivity equation, leads the pack.
doesn’t just help you find things—it helps you act on them. You can:
- Keep everything—from task management to knowledge to automation—under one roof
- Search across tasks, Docs, comments, and connected tools like Slack or Drive
- Summarize conversations and auto-generate tasks with AI
- Use Autopilot Agents to proactively manage documentation, respond to questions, or build workflows
- Launch a fully structured knowledge base using prebuilt templates
While most tools bolt AI onto their existing frameworks, weaves AI into every layer of work. That means less app-switching, less siloed knowledge, and faster decisions—backed by context-rich, up-to-date answers.
If your team is tired of bouncing between apps just to find the latest plan, policy, or project doc, offers the one place where work and knowledge finally come together. Sign up for for free today!
Everything you need to stay organized and get work done.
