Guru AI platform review: Features, integrations, and AI knowledge sharing

Kenneth Pangan
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Let’s be honest, most company knowledge is a mess. It’s scattered across dozens of apps, buried in old documents, and lost in chat threads. Finding one simple answer can feel like a full-blown investigation. AI knowledge platforms are meant to fix this, and Guru is a popular name in the space, offering a combined wiki, intranet, and AI search engine. The goal is to create one single, reliable place for your company’s information.
This guide will walk you through the Guru AI platform, covering its features, integrations, price tag, and where it falls short. We’ll look at who it’s really built for and compare its "one central hub" model with newer tools that add AI on top of your current setup, saving you the headache of a massive migration.
What is the Guru AI platform?
Guru is an AI-powered knowledge management system designed to bring all of a company’s collective information into one place. Sometimes searched for as "Gur AI," its main job is to cut down on the time everyone wastes hunting for answers. It does this by bundling three key functions into a single subscription:
- AI Enterprise Search: A search tool that connects to your company’s apps to pull up information.
- Company Wiki/Knowledge Base: A dedicated spot to write, organize, and keep official docs and guides up to date.
- Intranet: A hub for company-wide news, an employee directory, and team-specific homepages.
The whole idea behind Guru is to build a trusted, central library for knowledge. It uses features like "Knowledge Agents" (specialized bots for departments like HR or Sales) to provide answers tailored to different roles. It’s designed for companies that are willing to put in the work to build and maintain a new, all-in-one knowledge hub from the ground up.
A deep dive into Guru AI features
Guru’s platform is built around helping teams find, create, and share what they know. Here’s a closer look at its main components.
Guru AI-powered search and knowledge agents
Guru’s AI search isn’t just about matching keywords. It tries to understand the meaning behind your question to find more relevant answers from content within Guru and other connected apps. Its "Knowledge Agents" can be set up for different teams to provide answers with the right context. For instance, a "Support Superhero" agent could pull answers from help articles, while a "Sales Optimizer" might dig up competitive battle cards.
This is great for getting information into a human agent’s hands. But that’s usually where the process ends. The agent still has to do the manual work. This is different from something like eesel AI’s AI Agent, which doesn’t just find information but actually does something with it. Instead of just showing an agent an article, eesel can draft the complete customer reply, tag the ticket, and even close it directly within your help desk.
Guru AI Wiki and intranet capabilities
As a wiki, Guru gives you a collaborative editor, workflows to make sure content doesn’t get stale, and templates to keep documents consistent. The intranet side of things lets you build custom landing pages for teams, send out announcements, and keep an org chart handy.
The biggest hurdle here is the migration. If your team’s knowledge is already living comfortably in tools like Confluence or Google Docs, moving it all into Guru is a huge project. You either shift everything over or try to manage knowledge in two places, which is a real pain. In contrast, eesel AI is designed to be a layer, not a replacement. It plugs into your existing knowledge sources right where they are, so you can start seeing results in days, not months, without moving a single file.
Guru AI Analytics and AI training
Guru gives you analytics on how your content is being used, what people are searching for, and which articles are the most popular. The "AI Training Center" lets admins look at questions people ask, tweak the answers, and patch up any gaps in your knowledge base.
This is useful for making search results better over time. But for support and IT teams, what really matters is efficiency and saving money. This is where eesel AI’s simulation mode is a neat feature. Before you even turn it on, eesel can analyze your past support tickets to give you a data-driven forecast of how it will perform, including how many tickets it could deflect and your potential ROI. This helps you build a strong business case and takes the guesswork out of investing in AI.
Guru AI integrations: Connecting your tech stack
Guru has a long list of integrations, letting its AI search for information across dozens of platforms your team is already using. They break them down into sources (where Guru looks for info), destinations (where you can search from), and HR system syncs. Popular apps like Slack, Microsoft Teams, Salesforce, and Zendesk are all on the list.
The philosophy behind these integrations is what’s important, though. For Guru, they’re mainly read-only sources for its central search engine. The Zendesk integration, for example, lets an agent search their Guru knowledge base from inside a Zendesk ticket.
This is a world away from a true automation platform like eesel AI. eesel’s integrations are designed for action. Its Zendesk integration doesn’t just let agents search for info; it gives an AI agent the ability to work inside Zendesk—reading tickets, writing replies based on past ticket data, adding macros, and closing issues. It helps turn your help desk from a manual queue into an automated system.
Pro Tip: When you’re looking at AI platforms, ask if the integrations are just for finding knowledge or if they can actually automate tasks. The ability to take action in your other tools is what separates a smart search bar from a truly helpful AI agent.
Aspect | Guru AI | eesel AI |
---|---|---|
Primary Goal | Centralize knowledge from many sources into one search hub. | Automate tasks and provide answers inside your existing tools. |
Help Desk Integration | Lets human agents search the Guru knowledge base from the help desk. | Lets an AI agent read, understand, and resolve tickets on its own. |
Knowledge Sources | A new home for content that can also search outside sources. | Connects to your existing knowledge without making you move anything. |
Approach | Rip and Replace (or Centralize and Search) | Layer and Automate |
Understanding Guru AI pricing and its limitations
Guru’s pitch of being three products in one is reflected in its pricing—it’s straightforward but can get expensive.
Guru AI’s pricing model
Guru mainly has an All-in-one plan and a custom Enterprise plan. The All-in-one plan gives you the main AI Search, Wiki, and Intranet features.
Plan | Billed Annually | Key Features | Minimum Commitment |
---|---|---|---|
All-in-one | $15 / user / month | AI search, Intranet, Wiki, Standard Integrations | 10 users ($1,800/year minimum) |
Enterprise | Custom | Custom onboarding, advanced analytics, custom integrations | Custom |
Pricing is based on information from Guru’s pricing page as of late 2024.
Where the Guru AI per-user model can be a problem
The biggest drawback of Guru’s pricing is the per-user model. For large teams or company-wide use, the cost can spiral quickly, especially since you pay for every single user, active or not. The 10-user minimum also makes it a tough sell for smaller teams.
For example, a 50-person support team would have a fixed cost of $750 per month ($9,000 per year) with Guru.
This is where eesel AI’s pricing model is an interesting alternative. eesel charges you based on AI interactions (the number of replies or actions the AI takes). This means your cost is tied directly to the value you’re getting. For things like internal IT or HR help, where people might only ask questions now and then, an interaction-based model is much more budget-friendly than paying for hundreds of seats that are hardly ever used.
Is the Guru AI platform right for you?
Guru is a solid choice for organizations that are:
- Starting from zero and want to build a new, central place for all their knowledge.
- Willing to put in the time and effort to move content and get everyone on board with a new platform.
- More focused on making information easier to find than on automating business processes.
But if your main goal is to get more efficient right away without blowing up your current ways of working, Guru’s "rip-and-replace" approach and per-user cost might not be the best fit.
For teams looking to automate customer service, IT support, or internal help desks, a platform like eesel AI offers a more direct, flexible, and wallet-friendly solution. By adding an intelligent layer on top of your existing help desk and knowledge sources, it brings powerful automation without the migration nightmare.
From knowledge search to intelligent automation
The Guru AI platform is a strong option for any company trying to organize its scattered knowledge into a single source of truth. Its mix of a wiki, intranet, and AI search provides a complete package for centralizing information.
But the world of AI is quickly moving past just finding information. The real shift is happening with intelligent automation AI that doesn’t just hand you an answer but actually helps get the work done. The choice is between moving all your content to a new home (Guru) or adding an AI automation layer that makes the tools you already use even better.
If you’re ready to help your teams by automating frontline support, speeding up responses, and giving them instant, helpful answers, take a look at how eesel AI can bring real automation to the tools you use every day.
Give eesel AI a try, book a demo or start a free trial.
Frequently asked questions
Guru AI works by centralizing all your information into its own platform, creating a single hub for your wiki and search. In contrast, tools like eesel AI layer on top of your existing apps (like Confluence or Google Docs), letting you keep your knowledge where it is without a big migration.
While Guru AI can search connected apps, its primary model is designed for your knowledge to live inside its wiki and intranet. To get the most out of it, a significant migration of your key documents into the Guru platform is generally required.
Guru AI uses a per-user, per-month pricing model, which can become expensive for large teams or company-wide rollouts. The cost is fixed regardless of how actively each person uses the platform, which can be less efficient than usage-based models.
Primarily, Guru AI integrations allow you to search for knowledge from within other apps. It’s focused on finding and displaying information for a human agent, rather than automating tasks like drafting replies or closing tickets directly within those tools.