Guru and Document360 are both well-known in the knowledge management space. But they solve different problems and are built for different buyers.

Guru is an AI-powered central knowledge hub for the entire company. It connects to your existing tools, indexes knowledge across systems, and delivers AI-driven answers inside the apps your team already uses. Document360 is more focused on structured documentation and publishing, with tools for both internal and external knowledge bases.

Those differences are key when you're choosing a platform for customer service, where the knowledge needs to do more than just exist. It needs to guide agents through the right process, help customers self-serve, and connect to the tools your team already uses.

Neither platform was designed specifically with that in mind, which is why we'll also cover how Stonly compares as an option built specifically for support teams.

Before we get into a deeper comparison, here's a quick summary of who each platform may be best suited for:

  • Guru: Best for organizations that want a company-wide AI knowledge layer, connecting information across systems like Slack, Teams, Salesforce, and Google Workspace with verified, governed answers available in the flow of work.
  • Document360: Best for small companies and startups that need a straightforward knowledge base with a simple interface for creating and publishing documentation.
  • Stonly: Best for customer service teams that need interactive, process-driven knowledge for both agents and customers, with deep help desk integrations and analytics tied to support outcomes.

With that, let's walk through each platform's key features, advantages, and shortcomings, then compare them head-to-head across the categories that matter most when evaluating knowledge base software.

Guru Overview

Guru is an AI knowledge platform that connects to the tools a company already uses, turning content into verified answers. It's based on the premise that organizations need a way to make the documentation they already have trustworthy, findable, and usable from wherever employees are working.

It’s a cross-functional problem. Human resources policies are in one place, engineering runbooks are in another, sales enablement is in a third, and there's no reliable way for anyone to get a straight answer without asking around. This means customer support is one of several teams Guru serves, not the primary audience.

Key features

  • Automated knowledge quality: Autonomous agents monitor connected sources, propose updates to existing cards, identify duplicates and gaps, and route content to subject matter experts (SMEs) for verification on a schedule.
  • Permission-Aware Indexing: Guru crawls connected systems and builds a unified index, but it inherits the access rules from each source, so a user searching the system only sees results they could already see natively in Drive, Confluence, or Salesforce.
  • Knowledge Cards: Rather than long articles, Guru uses short, atomic cards designed for quick consumption and reuse. Cards can be grouped into collections and surfaced through Team Hubs, which give each department a curated home page.
  • Model Context Protocol (MCP) Connector: Guru exposes its verified knowledge to AI assistants like ChatGPT, Claude, and Cursor, so teams using those tools can pull grounded answers from company data instead of generic model output.
  • Announcements and Acknowledgments: Admins can push targeted updates to specific groups and confirm who has read them, which covers use cases like policy rollouts and compliance attestation.

Advantages

  • Inheriting permissions from source systems makes it easier to get buy-in from teams like legal, finance, and engineering, who are often hesitant to expose their content through a shared search layer. People only see what they already have access to, which removes a common blocker in company-wide knowledge projects.
  • AI agents tackle the upkeep problem head-on. They prevent organizations from abandoning content maintenance after launch, and they automate verification and gap detection to keep the knowledge base from going stale.
  • The MCP bridge is forward-looking in a way that suits companies already investing in AI tooling. Teams using Claude or ChatGPT for day-to-day work can ground those tools in company knowledge without building a custom retrieval pipeline.

Shortcomings

Guru is designed for employees, not customers. There's no public-facing help center, and the per-seat pricing model makes large external deployments impractical. Support teams that need both internal and customer-facing knowledge will need to evaluate Guru alternatives.

The card format is a constraint for teams with substantive documentation needs. Long-form procedural content, detailed runbooks, and reference material don't always break cleanly into cards, and authors accustomed to article-style editors may find the model restrictive.

Their AI agents are only as good as the SME network behind them. The automations surface issues, but real people still need to respond to verification requests, and teams without clear ownership of content areas often see the same agents flag the same gaps repeatedly.

Document360 Overview

Document360 is a knowledge base platform focused on content creation and publishing. While it has tools for both internal documentation and customer-facing help centers, it's rooted in product documentation rather than customer support.

The platform tends to appeal to small companies and startup teams who need a professional-looking help center without a lot of custom development. Technical writers, product managers, and documentation specialists are the typical owners, and the editor, lifecycle stages, and approval workflows are built around how they work.

Key features

  • Dual Editor: Writers can switch between a markdown editor with syntax highlighting and live preview or a what-you-see-is-what-you-get (WYSIWYG) editor, which suits teams where some contributors are technical, and others aren't.
  • Workspaces: Multiple documentation hubs can reside inside a single branded knowledge base. A company with several products or audience segments can manage them separately without standing up new instances.
  • Custom Workflow Builder: Teams define their own article lifecycle stages, assign roles, and set review and approval steps. This gives content operations more control over how drafts move toward publication.
  • Eddy AI Suite: Includes AI-powered search, a standalone chatbot, an article summarizer, a duplicate content detector, a glossary generator, and an AI writing agent that can draft articles from prompts, videos, or existing files.

Advantages

  • Writers can move quickly in Document360's editor. Teams that care about formatting, code blocks, embedded media, and clean publishing tend to find it faster to work in than competitors that treat the editor as an afterthought.
  • Document360 can give small teams a professional result without undertaking a big implementation. The templates, themes, and site customization options produce a polished help center quickly, which is valuable when there's no design or front-end resource on staff.
  • Entry-tier pricing runs lower than the enterprise-focused competition. This makes Document360 an approachable starting point for companies that aren't ready to commit to an enterprise contract or a hands-on vendor relationship.

Shortcomings

  • The service model leans self-serve, even on paid tiers. Teams expecting a dedicated success manager to guide rollout, drive adoption, and stay involved after launch typically need to pay up to a higher tier, and may still find the relationship lighter than what they'd get from a Document360 alternative built around partnership.
  • Several features that sound like differentiators are gated behind enterprise plans or add-ons. Interactive decision trees, advanced analytics, and parts of the Eddy AI suite aren't available on lower tiers, so using the platform may be more expensive than some teams anticipate.
  • The analytics tell you what people are reading, not whether it's solving their problems. Article views, search terms, reader behavior, and ticket deflector stats are all there, but connecting knowledge usage to support outcomes like resolution rate, handle time, or first-contact resolution isn't something the platform does natively.

Stonly Overview

Stonly is a customer support knowledge base platform built to resolve issues, not just document them. It pairs a full-featured knowledge base with interactive guides, contextual delivery, and deep help desk integrations.

Agents and customers both get the exact guidance they need for each situation. Support teams use Stonly to deflect tickets, speed up resolution, and keep every agent consistent, whether through customer-facing help centers or guided workflows inside the ticket view.

A single system for agent and customer knowledge

Support teams typically need knowledge for both agents and customers. Yet managing them in separate tools creates duplication and drift. Stonly lets you author content once and deliver it to each audience in the right format.

Customers see help centers, embedded widgets, and contextual triggers inside the product. Agents get guided workflows inside Zendesk, Salesforce, Freshworks, or ServiceNow. You can personalize what each audience sees, so a premium customer and a trial user don't see the same generic article, and a tier-one agent doesn't wade through tier-three playbooks.

Guides that adapt to each situation

Interactive guides break complex topics into step-by-step paths that branch based on what the user tells them. Instead of publishing a long troubleshooting article and hoping the reader finds the part that applies to their setup, you build a guide that asks a few questions and routes them to the exact resolution.

The same format works for standard operating procedures, onboarding flows, and any topic where the right answer depends on context. For instance, Anderson America moved from traditional help articles to Stonly guides and cut ticket volume by 80%, which is hard to achieve when customers have to interpret documentation themselves.

Knowledge that runs the support workflow

Stonly's help desk integrations work in two directions. Ticket data flows into a guide so the right path opens automatically based on the case, and guides can write back to the ticket: populating fields, firing macros, triggering status changes, and logging which path the agent followed.

For teams handling volume, the knowledge does double duty as a reference and an automation layer, handling the pieces of each case that don't need human judgment. For example, Bpifrance used this approach to cut agent response time roughly in half.

Structured knowledge that makes AI more accurate

With interactive guides, you produce structured content with clear inputs, decision points, and outcomes. That's the format AI models need to answer correctly in situations that don't have a single right answer.

Stonly's AI search, AI chat, and AI agent assist all draw on this structured knowledge, which helps them stay accurate on the conditional questions where generic retrieval-based AI usually stumbles. The same structure feeds analytics that go beyond pageviews. You can see where customers drop off inside a guide, which agent paths correlate with faster resolution, and which pieces of content are deflecting tickets rather than just getting viewed.

What Real Customers Are Saying About Stonly

"Thanks to Stonly, we’re leading the charge in our industry by giving customers quick and accurate resolutions and freeing up our technicians to tackle more complex tasks."

Justin Wilder, Service Manager, Anderson America

"With Stonly as our always up-to-date source of truth, client-facing teams can respond twice as fast and more accurately."

Thomas Thieffry, Head of Product, Bpifrance

Comparing Guru, Doc360, and Stonly Head-to-Head

The three platforms overlap on the basics. The differences show up in how each one handles content, delivery, and the work around a support ticket. Here's how they compare head-to-head.

Content Formats

Guru and Document360 focus on static content. Stonly adds interactive guides that branch based on the user's situation.

Guru Modular knowledge cards with text, images, video, and attachments (no interactive or branching content)
Document360 Articles and videos (decision trees are available with enterprise plans only)
Stonly Standard articles plus interactive, branching guides built for troubleshooting, SOPs, and personalized walkthroughs

AI Capabilities

All three use AI for search, content creation, and maintenance. Guru's advantage is federated search across connected apps. Document360 offers a wide authoring toolkit (writing agent, summarizer, glossary generator). Stonly's structured guide format gives its AI search and chatbot more accurate answers on conditional questions.

Guru Semantic search across connected enterprise tools, customizable AI agents, federated search across 100+ apps, automated content verification and trust scoring
Document360 AI-powered search, AI chatbot, AI writing agent, article summarizer, FAQ and glossary generators, duplicate content detection
Stonly AI integrated into search, standalone AI chatbot, AI knowledge agents that help make and maintain knowledge, including duplicate content and gap detection

Help Desk Integrations

Guru and Document360 connect to help desks for search and article sharing. Stonly's integrations read and write ticket data, so guides can auto-populate fields and trigger predefined actions.

Guru Integrates with Zendesk, Salesforce, Slack, Teams, and 100+ other tools for surfacing knowledge and AI-generated answers in existing workflows
Document360 Connects to Zendesk, Freshdesk, Intercom, Drift, Slack, and Teams for article search and sharing
Stonly Two-way integrations with Zendesk, Salesforce, Freshworks, and ServiceNow that read and write ticket data

Workflow Automation

Neither Guru nor Document360 automates support workflows. Guru does automate content upkeep (verification scheduling, trust scoring, SME reminders), but nothing inside the ticket. Stonly's guided decision trees auto-populate fields, skip steps based on ticket context, and trigger predefined actions as agents work.

Guru No support workflow automation but strong content governance workflows (verification scheduling, trust scoring, SME reminders)
Document360 No workflow automation inside support tools
Stonly Guided decision trees that auto-populate fields, execute macros, and skip steps based on ticket context

Unified Internal + External Knowledge

Guru is internal-only. Document360 supports both audiences, but wasn't designed around managing them together. Stonly serves agents and customers from one system with audience-specific delivery.

Guru Primarily for internal use, and per-seat pricing makes customer-facing deployment impractical
Document360 Supports internal and external use, though not built for managing multiple audiences seamlessly
Stonly Single system for both agent-facing and customer-facing knowledge, purpose-built for serving both

Analytics and Reporting

Guru and Document360 track content engagement. Stonly ties analytics to support outcomes like resolution rate and ticket deflection.

Guru Content usage, search performance, knowledge trust scores, unanswered question tracking, and AI answer accuracy monitoring
Document360 Article, reader, and search analytics, plus team activity tracking, feedback monitoring, and ticket deflector reporting
Stonly Content performance, search and AI effectiveness, per-agent usage, and configurable outcome-based reports tied to resolution rates and ticket deflection

Contextual Help

Guru surfaces knowledge inside employee tools. Document360 offers a widget and conditional content blocks. Stonly adds behavioral triggers and in-product delivery for both agents and customers.

Guru Browser extension and app integrations surface knowledge inside Slack, Teams, Chrome, CRMs, and help desk tools, but no customer-facing widgets or behavioral triggers
Document360 Knowledge base widget, Chrome extension, ticket deflector, and conditional content blocks based on reader group, country, device, or date
Stonly Embedded widgets, tooltips, banners, and popups configurable by user behavior and data, plus a web extension for agents

Service and Support Model

Document360 leans self-serve on lower tiers. Guru offers solution engineering on enterprise plans. Stonly includes dedicated onboarding, success, and account management across plans.

Guru Solution engineering team for knowledge architecture design and ongoing optimization; enterprise plans include dedicated advisory
Document360 Standard support, plus dedicated manager available on higher-tier plans
Stonly Dedicated onboarding, customer success, and account management team with a consultative partnership approach

Price

All three platforms use custom pricing, but each uses a distinct approach to scoping and has a different price range.

Guru $$$ (Custom pricing based on number of seats)
Document360 $$ (Custom pricing based on number of projects)
Stonly $$$ (Custom pricing upon request)

Which Platform Should You Choose?

The right choice depends on what your team needs knowledge to do.

Choose Guru if your primary need is a company-wide knowledge layer that unifies scattered knowledge across Slack, Teams, Google Drive, Confluence, and other enterprise tools into one governed, verified layer. Its federated search and AI knowledge agents are strongest for organizations dealing with information spread across many systems.

However, keep in mind the internal-only limitation noted above. There's no customer-facing help center, and its help desk integrations focus on search and retrieval rather than workflow execution, so support teams may find it doesn't go deep enough into how agents actually handle tickets.

Choose Document360 if you're a smaller team or startup that needs a straightforward documentation tool with a clean interface. Document360 makes it easy to get articles published quickly and offers solid content management basics like version control, approval workflows, and AI-assisted writing.

Document360 is a reasonable starting point for teams that don't yet need interactive content, deep help desk integrations, or outcome-based analytics. Just keep in mind that as your support operation scales, you may outgrow its capabilities, particularly around workflow automation, contextual delivery, and connecting knowledge to measurable support outcomes.

Choose Stonly if your team needs knowledge that actively drives support performance. Stonly is built specifically for customer service, with interactive guides that adapt to each situation, two-way help desk integrations that make knowledge part of the agent workflow (not just a reference tab), and analytics that tie knowledge usage to outcomes like ticket deflection and handle time.

Stonly serves both agents and customers from a single platform, and the hands-on partnership model means you get strategic support with content architecture, rollout, and adoption, not just access to software.

For support and CX teams evaluating these options, the question is whether you need knowledge that just stores and surfaces information or knowledge that actively resolves issues. If interactive guidance, help desk workflow automation, and outcome-based analytics are priorities, request a demo of Stonly to see how it performs against your specific support challenges.