Bloomfire and Confluence approach knowledge management from different starting points. That makes this comparison less about feature-by-feature scoring and more about what kind of knowledge problem you're trying to solve.

Bloomfire is a dedicated knowledge management platform built around AI-powered search and enterprise-wide knowledge sharing. Its core pitch is becoming the single searchable layer across all the content your organization already has, whether that's in SharePoint, Google Drive, Salesforce, or Slack.

Confluence is a team documentation and wiki platform tightly integrated with the Atlassian ecosystem. It's the default choice for teams already running Jira. Its strengths lie in structured documentation, real-time collaboration, and cross-functional alignment.

Both platforms are strong at capturing and organizing knowledge. But support teams handling complex processes, multistep troubleshooting, or high ticket volumes often need knowledge that goes beyond retrieval. They need it to guide agents through the correct steps, help customers self-serve on issues that aren't simple FAQ material, and connect directly to the tools where support work happens.

Neither Bloomfire nor Confluence was designed around that kind of guided execution. So we'll also cover how Stonly compares as an option built specifically for support teams.

Before getting into the details, here is a quick summary of who each platform may be best suited for:

  • Bloomfire: Best for organizations that need an enterprise-wide knowledge sharing platform with strong AI-powered search, content health monitoring, and the ability to connect knowledge across multiple existing repositories.
  • Confluence: Best for teams already in the Atlassian ecosystem that need a flexible wiki and documentation hub with deep Jira integration, real-time collaboration, and cross-functional alignment.
  • Stonly: Best for high-volume 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.

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

Bloomfire Overview

Bloomfire is an AI-powered knowledge management platform for sharing information across the enterprise. It connects content from the repositories a company already uses and turns everything into one searchable layer, so employees can ask questions and get sourced answers in a single place. Bloomfire serves organization-wide knowledge sharing rather than specializing in any one department's workflow.

Key Features

  • Synapse Conversational AI: Employees ask questions in plain language and get direct answers grounded in approved content, with citations linked to the source. Follow-up questions and adjustable answer depth help people dig into complex topics.
  • Knowledge Connectors: Bloomfire indexes content from more than 25 sources, including SharePoint, Google Drive, and Salesforce. Teams get one searchable layer without migrating or duplicating documents.
  • Self-Healing Knowledge Base: AI monitors content and flags outdated, duplicate, or conflicting material before people rely on it. Review workflows prompt authors to update or archive, which keeps the library trustworthy without manual audits.
  • AI-Powered Authoring: Generative AI tools draft, summarize, and tag content. Publishing gets faster and readers find material under natural search terms.
  • Analytics Suite: Dashboards track searches, engagement, trending topics, and content gaps, with a custom report builder for company reporting. Knowledge managers see what people look for and where the library has gaps.

Advantages

  • Bloomfire searches across every connected repository, so teams stop guessing which system holds the answer. Fixing findability doesn't require a content overhaul or a disruptive migration project.
  • Indexing reaches inside slides, video, and audio, so search can pull an exact answer from a recorded training or presentation. Teams with media-heavy libraries get value from content that plain-text search would miss.
  • The Q&A Collective Knowledge Engine lets employees ask questions and routes them to nominated subject matter experts when no answer exists. Expertise that would otherwise stay in someone's head becomes searchable knowledge for the whole company.

Shortcomings

  • Every piece of content is a static article or file. Agents handling complex, situation-dependent processes must read, interpret, and improvise, which produces inconsistent outcomes at high ticket volumes.
  • Bloomfire's help desk integrations bring search into tools like Zendesk and Salesforce, but they don't execute workflows or automate support processes. Finding a relevant article still leaves agents to carry out every step themselves.
  • The platform centers on internal knowledge sharing. It supports external knowledge bases, but customer self-service amounts to search and articles rather than guided help delivered where customers need it.

Confluence Overview

Confluence is Atlassian's workspace for team documentation and collaboration. Teams draft pages together in real time and organize them into shared spaces, giving company knowledge a single home across departments. Tight integration with Jira and the wider Atlassian suite makes it a natural fit for organizations already working in those tools.

Key Features

  • Pages and Spaces: Teams create rich pages with text, tables, macros, and embedded media. Spaces group those pages by team, project, or topic, and a nested content tree keeps large documentation libraries easy to navigate.
  • Real-Time Collaboration: Multiple people can edit the same page at once, and inline comments, mentions, and task assignments keep feedback attached to the content it concerns. This helps teams align on documents without long email threads.
  • Whiteboards and Databases: Confluence includes whiteboards for freeform brainstorming and databases that sync structured information across pages. These formats let teams move from ideas to organized records without switching tools.
  • Rovo AI: Atlassian's AI assistant, is woven throughout Confluence. Rovo fields questions in natural language and answers from the organization's own knowledge, condenses lengthy pages into summaries, and accelerates drafting when teams face a blank page.
  • Jira Integration: Documentation links directly to Jira work items, keeping decisions and requirements connected to the projects they describe. For Atlassian shops, knowledge and project tracking stay in one ecosystem.

Advantages

  • Confluence is the least expensive platform of the three, with a free plan for up to 10 users and public pricing on paid tiers. Teams can start without a sales process and forecast costs as they grow.
  • One workspace covers documentation for every department, from engineering and product to HR and support. Companies get a shared knowledge layer without buying a separate tool for each team.
  • A marketplace with thousands of apps extends Confluence's capabilities with diagramming, theming, and workflow management. Teams can shape the platform around how they already work.

Shortcomings

  • Outside of Jira Service Management, Confluence doesn't connect natively to major ticketing systems. Support agents leave their console to search pages, which slows resolution and breaks focus.
  • The platform doesn't automatically flag outdated, duplicate, or conflicting pages. Accuracy depends on scheduled human reviews, a process that's easy to deprioritize when ticket volumes climb.
  • Confluence works well for internal teams, but it has no built-in help center, self-service widget, or embedded guidance for customers. Serving external audiences requires extra configuration or third-party tools.

Stonly Overview

Stonly is a knowledge base software platform built for customer service teams. It combines a standard knowledge base with interactive guides, AI, and direct help desk integrations, giving agents and customers a clear path through every issue. Support and customer experience (CX) leaders use it to raise resolution quality while reducing handle time and ticket volume.

Interactive Guides That Adapt to Each Situation

Stonly pairs standard articles with interactive guides in a single knowledge base. Guides break a complex topic into one step at a time and branch based on the reader's answers, so each person follows the path that fits their situation. Nobody has to wade through irrelevant sections to find the part that applies to them.

Personalization goes further with customer data, which can tailor content to the reader or pull in the details they need. For troubleshooting, standard operating procedures (SOPs), and how-to topics, the guide carries people through the correct steps rather than leaving them to interpret a long article on their own.

Knowledge That Works Inside the Ticketing System

Two-way integrations with Zendesk, Salesforce, Freshworks, and ServiceNow place Stonly's guides directly in the support agent console. A matching guide appears based on what the ticket says, and ticket data feeds the guide's branching so steps that don't apply get skipped.

The connection runs in both directions. As the agent works, guides can populate ticket fields, run macros, and update the ticket record, keeping the process and the documentation in sync. Agents resolve issues without switching tabs or reconstructing steps from memory.

AI That Executes the Full Resolution Process

Stonly's AI Agent Copilot reads the incoming ticket, finds the applicable workflow, and generates a ready-to-send reply. It can carry out the resolution end-to-end, including cases with conditional steps and policy requirements that trip up retrieval-based tools.

The AI works from structured knowledge. Guides give it a defined process to follow, so it handles complicated, variable issues without guessing. AI Answers brings the same grounded approach to customer-facing search and chat.

One Platform for Agents and Customers

The same Stonly knowledge base serves both internal and external audiences. Customers get interactive help centers, embedded widgets, and in-app guidance triggered by their behavior or profile, so they can access help when they need it.

This helps improve deflection on issues too involved for a basic article. When a customer does escalate, context gathered during self-service passes to the agent, cutting repetition and speeding up resolution.

A Continuous Quality Loop With Outcome-Based Analytics

Knowledge Agents monitor incoming tickets and changes to connected source documents, flagging gaps, outdated content, and inconsistencies automatically. Review workflows and version history keep maintenance on track even when the team is stretched.

Stonly's analytics connect knowledge to results. Reports cover resolution rates, handle time, deflection, and per-agent usage, so leaders can see whether knowledge improves performance and where to invest next.

What Real Customers Are Saying About Stonly

"We couldn’t imagine onboarding so many new agents without Stonly. We can seamlessly integrate step-by-step guidance into Zendesk to ensure every agent is confident from day one."

Theresa Tacite, Customer Operations Lead at Fastned

"We evaluated several options and chose Stonly because it’s amazingly efficient for our team and customers. In only a few days, we have seen our client requests drop by 30%."

Matthieu Marquenet, Co-Founder & CEO at Kombo

"Stonly helped us to drastically reduce ticket openings on our most visited support pages."

Anne-Sophie Lebreton, VP Customer Support & Service at Dashlane

Comparing Bloomfire, Confluence, and Stonly Head-to-Head

The three platforms overlap in some areas but handle the day-to-day work of a support team very differently. Nine categories capture those differences, from content formats to price. Use them to judge which platform fits your organization.

Content Formats

These three platforms range from static articles and wiki pages to interactive, branching guides. The format shapes how much users can do without escalating or improvising.

Bloomfire Confluence Stonly
Content Formats Articles, documents, videos, images, audio, and file uploads. All content is static and article or file-centric. No interactive or branching content types. Wiki pages with rich text, macros, tables, images, and embedded media. Whiteboards and databases. No branching or guided content formats. Standard articles plus interactive, branching guides built for troubleshooting, SOPs, and personalized walkthroughs that adapt based on the user's situation.

AI Capabilities

All three platforms offer AI features, but they serve different purposes. Which one fits depends on whether your priority is enterprise-wide search, team documentation assistance, or support resolution.

Bloomfire Confluence Stonly
AI Capabilities Synapse conversational AI for direct answers from the knowledge base. AI Authoring tools for content creation. Self-healing knowledge that flags outdated, duplicate, and conflicting content. Ask AI suggested responses in Salesforce Cases. Rovo AI (included in Standard plans and above) for intelligent search, conversational chat, and agent-based automation. AI-powered content generation and summarization. AI capabilities focused on finding and organizing information within the Atlassian ecosystem. AI Agent Copilot (reads ticket, executes the resolution process, generates reply). Knowledge Agents for gap detection and content accuracy monitoring. AI Answers for customer-facing self-service search and chat.

Help Desk Integrations

Help desk integrations vary in depth. Some let agents search knowledge from their support tools, while others exchange ticket data and run workflows inside the ticketing system.

Bloomfire Confluence Stonly
Help Desk Integrations Zendesk sidebar app for search and content creation. Salesforce Lightning app with Ask AI suggested responses on Cases. Slack and Teams integrations for knowledge access. Integrations make knowledge available but don't execute support workflows. Integrates with Jira Service Management for linking documentation to service requests. No native integrations with Zendesk, Salesforce Service Cloud, Freshworks, or ServiceNow for agent workflows. Two-way integrations with Zendesk, Salesforce, Freshworks, and ServiceNow that read and write ticket data and execute workflows inside the agent console.

Workflow Automation

Automation support varies widely, from content lifecycle management to guided flows that execute actions inside the help desk.

Bloomfire Confluence Stonly
Workflow Automation No knowledge-driven workflow automation inside support tools. Platform automation is limited to content management tasks (approvals, expiration, publishing). Automation builder for content lifecycle tasks (page archiving, notifications, label-based rules). No knowledge-driven workflow automation inside support tools. Guided decision trees that auto-populate fields, execute macros, and skip steps based on ticket context. Knowledge drives the support workflow rather than only informing it.

Unified Internal + External Knowledge

Each platform handles internal and external audiences differently, so consider whether you need one system for both agents and customers.

Bloomfire Confluence Stonly
Internal + External Knowledge Primarily designed for internal knowledge sharing. Supports external knowledge bases but core strengths and positioning center on internal enterprise knowledge rather than customer-facing self-service. Primarily an internal documentation tool. Customer-facing use requires separate configuration or third-party tools. No native help center, self-service widget, or customer-facing knowledge delivery. Single system for both agent-facing and customer-facing knowledge. Interactive help centers for customer self-service plus embedded widgets, tooltips, and in-app guidance.

Analytics and Reporting

Views, searches, and engagement metrics show whether people use knowledge. Tying that usage to resolution rates, handle time, or deflection requires a reporting model built around support outcomes.

Bloomfire Confluence Stonly
Analytics and Reporting Content usage, search patterns, engagement metrics, trending topics, and knowledge gaps. Custom report builder. Analytics focused on knowledge consumption and adoption rather than support outcomes. Basic page analytics (views, contributors, page history). Rovo provides some AI-driven insights. No outcome-based reporting tied to support metrics. Content performance, search and AI effectiveness, and per-agent usage. Configurable outcome-based reports tied to resolution rates, handle time, and ticket deflection.

Contextual Help

All three differ in where and how people access knowledge. They might find it embedded in the agent console, delivered in Slack or Teams, pushed via in-app widgets, or limited to a standalone portal.

Bloomfire Confluence Stonly
Contextual Help Chrome and Edge browser extensions. Slack and Teams integrations. Salesforce Lightning app. Knowledge accessible from connected tools but delivery model is primarily search-and-retrieve rather than in-context, guided resolution. Knowledge stays inside Confluence spaces. Rovo Chat and browser extensions for search. No embedded widgets, tooltips, or behavioral triggers outside the Atlassian ecosystem. Embedded widgets, tooltips, banners, and popups configurable by user behavior and data, plus a web extension for agents. Knowledge is pushed to people in-context rather than waiting for them to search.

Service and Support Model

Onboarding and ongoing support range from self-service documentation to dedicated implementation teams and consultative partnerships.

Bloomfire Confluence Stonly
Service and Support Implementation services with a dedicated Implementation Lead and Customer Success Manager. Four-phase onboarding process (Plan, Configure, Prepare, Launch). Implementation fees are separate from the subscription. Standard Atlassian support. Documentation, community forums, and knowledge base. No dedicated implementation or customer success program for knowledge management. Consulting partners available for complex setups. Dedicated onboarding, customer success, and account management team with a consultative partnership approach. Strategic support with content architecture, rollout, and adoption.

Price

Pricing models vary widely across all three. Confluence offers transparent per-user pricing. Bloomfire and Stonly both use custom pricing but land at different price points.

Bloomfire Confluence Stonly
Price $$$-$$$$. Custom pricing based on whether deployment covers a team, a department, or the whole company. No public pricing. Multi-year contracts standard. Additional fees for implementation and data migration. $. Free plan for up to 10 users. Standard at $16,500/year for 201-300 users. Premium at $31,500/year for 201-300 users. Enterprise custom pricing. Marketplace add-ons can increase total cost. $$$. Custom pricing upon request.

Which Platform Should You Choose?

Your choice depends on what your team needs knowledge to do. Bloomfire makes scattered content searchable, Confluence gives teams a shared place to document their work, and Stonly turns knowledge into guided resolutions for support teams.

Choose Bloomfire If...

Your knowledge is scattered across repositories like SharePoint, Google Drive, Salesforce, and Confluence. Bloomfire builds a single searchable layer across all of them without requiring a content migration.

Its Learn & Confirm feature verifies that employees read and understood critical content updates. Teams in regulated industries or distributed operations find that assurance hard to get anywhere else.

Bloomfire also provides automated content health monitoring that flags outdated, duplicate, and conflicting content. This is a major advantage over Confluence, which relies entirely on manual page reviews. Stonly's Knowledge Agents offer similar proactive monitoring, so this is less of a differentiator if you're comparing Bloomfire to Stonly.

But for support teams, Bloomfire has limits. All content is static, and customer self-service stays basic. And integrations let agents search knowledge from their support tools but can't update tickets or automate resolution steps. Teams that need a platform that integrates into their customer support flows have Bloomfire alternatives to consider.

Pricing is another consideration. Bloomfire doesn't publish rates, deals tend toward enterprise level, and implementation and migration require separate add-on fees.

Choose Confluence If...

Your team already runs Jira and needs a documentation hub connected to its issue tracking and project workflows. The Jira integration alone is a strong reason to choose Confluence. No other platform in this comparison connects this directly to Jira.

Confluence is also by far the most affordable option here, with a free plan for up to 10 users and transparent pricing at every paid tier. Teams that document knowledge across engineering, product, human resources, legal, and support get a flexible page and space structure. An extensive marketplace extends the platform's capabilities, and Rovo AI comes bundled with paid plans to add intelligent search, conversational assistance, and automation within a per-user credit allowance.

Confluence was built for general team documentation rather than customer service operations. It has no interactive guides, customer-facing self-service features, help desk workflow automation, or outcome-based analytics. Content accuracy also depends entirely on manual page reviews.

Agents using Confluence for support knowledge must leave their ticketing system, search through pages, and piece the process together themselves. For support teams, Confluence is a powerful library, but turning a page into a correctly handled ticket still rests on each agent's judgment.

Choose Stonly If...

Your team needs knowledge that actively drives support performance rather than a library that stores it. Only Stonly combines interactive branching guides, workflow execution inside the agent console, and outcome-based analytics. No other platform in this comparison offers all three.

Stonly is built specifically for customer service. Two-way integrations with Zendesk, Salesforce, Freshworks, and ServiceNow make knowledge part of the agent workflow rather than a separate tab. Bloomfire and Confluence can bring knowledge into some support tools, but neither reads and writes ticket data or executes support processes from the agent console.

Stonly's AI Agent Copilot reads the ticket, follows real guided workflows, and can execute the full resolution process. It handles complex, variable scenarios where simple isn’t enough.

Both Stonly and Bloomfire monitor content health automatically. But Stonly's Knowledge Agents go further by watching incoming tickets, flagging knowledge gaps tied to real support scenarios rather than content-level audits alone.

Stonly also serves both agents and customers from a single platform. Interactive help centers, embedded widgets, and in-app guidance give customers guided self-service that drives deflection rather than a search bar pointed at static articles. Neither Bloomfire nor Confluence delivers customer-facing, guided help at the point of need.

All three vendors offer onboarding and customer success support, but the models differ. Bloomfire provides structured implementation services focused on platform deployment and content migration. Stonly's partnership model centers on content strategy, support outcomes, and ongoing adoption, with teams that work alongside your support leadership to improve knowledge impact over time.

For support and CX teams, the decision rests on how you intend to operationalize knowledge. If storing and sharing information is enough, Bloomfire and Confluence both handle it well. If you need knowledge to resolve issues and drive consistent agent execution, request a demo of Stonly to see how it performs against your support challenges.