Atlassian Rovo

Atlassian Rovo - Your AI-Powered Enterprise Search Engine

What is Atlassian Rovo?

Atlassian Rovo is an intelligent enterprise search and knowledge management platform. It helps businesses solve the problem of scattered information and difficult searches, connecting knowledge content stored in tools like Jira, Confluence, Bitbucket, and third-party applications. Rovo's main user groups are enterprise teams, project managers, IT support personnel, and R&D engineers who extensively use Atlassian products, especially professionals who need quick access to cross-tool information to drive projects, solve user problems, or make decisions.

Why Choose Atlassian Rovo?

Choosing Atlassian Rovo allows users to instantly find information scattered across different work tools within a single interface, saving significant time switching between tools and repeating searches. Compared to other general search engines or isolated knowledge bases, Rovo's unique value lies in its deep understanding of Atlassian product data structures and the use of AI to analyze relationships between content, providing direct answers or key task summaries rather than simple lists of links. This significantly improves the efficiency of teams utilizing existing knowledge assets.

Core Features of Rovo

• Intelligent Cross-Tool Search: Just enter a question once, and Rovo can simultaneously search related content in Atlassian tools like Jira tasks, Confluence documents, Bitbucket code repositories, and associated applications like Slack and Google Drive. Users no longer need to log into multiple systems separately to find information.
• Answer Summaries and Task Extraction: When users search for complex information, Rovo not only provides relevant document links but also actively analyzes content, extracts key points or generates concise summaries, and identifies unfinished tasks mentioned in documents. This helps users quickly grasp core information.
• Contextual Intelligent Recommendations: Based on the task the user is handling (such as within a Jira ticket or Confluence page), Rovo can proactively recommend highly relevant knowledge entries, similar problem solutions, or related tasks. This reduces the need for users to independently search for information.
• Knowledge Graph Integration: Rovo automatically builds knowledge relationship graphs, identifying deep connections between people, projects, concepts, and tasks. This allows users to explore information networks, discovering implicit dependencies or expert resources.

How to Start Using Rovo?

1. Access and Registration: Users with Atlassian administrator permissions visit the Rovo official website and click the start button. The service typically logs in through the Atlassian account system and may require the administrator to enable specific subscription licenses in the backend.
2. Connect Data Sources: In Rovo settings, the administrator selects the company's core tools to include in the search scope, such as the Confluence spaces, Jira projects, Bitbucket repositories, and supported third-party applications used by the enterprise. Ensure data permission configurations are correct.
3. Perform Searches and Apply Results: Users access the Rovo search box, enter a natural language query (e.g., "login page errors mentioned in last week's user feedback"). View the integrated results, summary answers, or action items, and click links to go directly to the original data source for further processing.

Tips for Using Rovo

• Use Natural Language Questions: Try asking Rovo questions as you would ask a colleague (e.g., "What major improvements did we make on the mobile end last quarter?") to get more precise answers than entering scattered keywords.
• Pay Attention to Recommended Tasks: When viewing search result summaries, pay more attention to the follow-up action items identified by Rovo (e.g., "Confirm the problem resolution status"). This can help discover overlooked work.
• Make Good Use of Context Features: When on a specific Jira ticket or Confluence page, check the recommended content in Rovo's sidebar, as these suggestions are often highly relevant to the current work.

Frequently Asked Questions (FAQ) About Rovo

• Q: Is Rovo available now?
  A: Yes, Atlassian Rovo has been officially launched and is currently available. Users can access it through the Atlassian product portal or after the administrator activates the subscription.

• Q: What exactly can Rovo help me do?
  A: Rovo can help you: quickly find information scattered across multiple systems (such as customer feedback, project documents, technical discussions); directly obtain summary answers from complex documents; identify follow-up tasks mentioned in documents; find information experts or similar problem-solving experiences within the team. It can be applied to specific scenarios like accelerating customer support responses, shortening new employee familiarization time, and improving R&D efficiency.

• Q: Is there a fee to use Rovo?
  A: Rovo is a value-added service provided by Atlassian, adopting a subscription model. It typically offers a free trial period, and formal use requires purchasing the corresponding license plan. Specific payment models and pricing tiers should refer to the latest information released by Atlassian.

• Q: When was Rovo launched?
  A: Atlassian Rovo was first released as part of the AI feature suite in the fall of 2024, and its official launch as an independent enterprise search product can be traced back to the first half of 2025.

• Q: Between Rovo and traditional company internal Wiki searches, which is more suitable for me?
  A: The two have different positioning. Traditional Wiki searches mainly target the retrieval of structured content within a single knowledge base. Rovo is specifically designed to connect fragmented information distributed across various independent work tools (such as Jira, Confluence, Slack, GitLab), emphasizing unified searches across systems, semantic understanding, and AI refinement. If your information is mainly stored in a single Wiki, traditional searches may suffice. But if knowledge is scattered across the Atlassian suite or multiple collaboration tools, requiring contextual understanding and intelligent summarization, Rovo is a more targeted choice.