Knowledge Agent: Improve Site Experience

Key insights

• Knowledge Agent is an AI assistant built into SharePoint that helps site owners prepare content to be Copilot-ready and easier to find.
  It organizes files, improves metadata, and surfaces suggestions where content needs work.
• The core "Improve this site" features focus on three actions: Retire inactive pages, Fix broken links, and Find content gaps.
  Each feature identifies issues and offers simple remediation steps without deleting content.
• Knowledge Agent appears as a floating button and provides contextual suggestions based on where you are in the site.
  It accepts natural language prompts to tag content, retire pages, or generate summaries right from your workflow.
• Key benefits include enhanced AI readiness, increased productivity, and a better user experience by keeping content current and well-labeled.
  These improvements help Copilot and other AI tools produce more accurate results.
• Release notes: Knowledge Agent is in Public Preview with tenant-level opt-in and will allow per-site opt-in by November 1, 2025.
  General Availability is planned for early 2026, with broader licensing and deployment options to follow.
• The video demo highlights practical use and workflows in a live tour (Live demo), shows how to retire pages and fix links, and asks for viewer feedback.
  Use the demo steps to test features and gather site owner input before rolling out changes.

Overview of the video and its purpose

Microsoft published a YouTube video introducing the new Knowledge Agent, an AI assistant built into SharePoint that helps organizations prepare content for AI and improve site quality. The video frames the feature as a way to make files, pages, and sites Copilot-ready, and it promises to reduce manual work while improving content discoverability. As a result, the presentation targets site owners and editors who manage intranets, portals, and knowledge bases and who want to make those spaces smarter and easier to maintain.

Furthermore, the video sets out a clear agenda that includes a live demo and focused sections on site improvement tasks such as retiring inactive pages, finding content gaps, and fixing broken links. The presenters explain how these capabilities fit into broader content governance and AI-readiness goals. Consequently, the piece reads like a product tour that mixes demonstration with practical guidance.

Live demo: what viewers saw and why it matters

The demo portion begins with a walkthrough of the floating Knowledge Agent button that appears inside SharePoint, showing contextual suggestions depending on where the user is working. The presenters demonstrate natural language commands, automated tagging, and quick actions that aim to streamline common maintenance tasks. Thus, the demo highlights how the agent blends into day-to-day workflows without forcing users to switch tools.

Notably, the video shows how the assistant proposes concrete actions—such as retiring pages or fixing broken links—while keeping the site owner in control. It also illustrates summaries, document comparisons, and FAQ generation that can enhance content consumption and save time. Therefore, the demo emphasizes both convenience and the potential to lift overall site quality through AI-driven assistance.

Core site improvement features explained

At the center of the presentation is the Improve this site capability, which bundles three main tools: Retire Inactive Pages, Fix Broken Links, and Find Content Gaps. The video explains that retired pages remain accessible but appear as deprioritized in searches and AI responses, which helps avoid accidental deletion while signaling maintenance needs. This approach aims to balance content preservation with clarity about currency and trustworthiness.

In addition, the tool surfaces metadata suggestions and classification to make content easier to find and more useful to AI systems like Copilot. The presenters demonstrate autofill metadata, natural language tagging, and simple commands to notify contributors or reinstate content when necessary. As a result, organizations can expect better search results and more accurate AI output when they invest a little effort into metadata hygiene.

Moreover, the assistant can flag areas where content is thin or missing, which encourages targeted content creation to fill the gaps. It also scans for broken links and points editors to likely fixes, helping maintain a dependable intranet experience. In short, the suite focuses on three practical levers that drive both human and AI usefulness.

Tradeoffs and practical challenges

While automation speeds up maintenance, it also raises tradeoffs that organizations must weigh carefully. For instance, suggesting the retirement of pages can produce false positives if the AI misreads the relevance of niche or archival content, so human review remains essential. Consequently, teams must design approval workflows and guardrails to prevent useful content from being hidden or deprioritized unintentionally.

Moreover, automated metadata and summarization reduce repetitive work but may not capture domain-specific nuance without oversight. In complex industries, inaccurate tags or summaries could mislead users and skew Copilot responses, which makes quality checks and periodic audits necessary. Therefore, balancing speed with accuracy requires a combination of AI assistance and subject matter review.

Finally, deployment introduces governance and privacy considerations, as well as licensing choices that affect cost and access. Organizations must decide who can act on AI recommendations and how to log those actions for compliance, and they must weigh centralized tenant settings against site-level opt-in options. These choices impact adoption speed and how confidently teams allow automation to influence content visibility.

Deployment timeline and what organizations should do next

Microsoft positions Knowledge Agent in Public Preview with tenant-level opt-in, with site-level opt-in planned later and general availability expected after broader testing. Therefore, organizations can begin experimenting in controlled environments to see how the agent affects workflows and content quality. Early pilots help teams define governance rules, train contributors, and measure gains in search accuracy and maintenance time saved.

In conclusion, the video from Microsoft highlights a practical path toward making SharePoint more AI-ready while keeping humans in the loop. Although the agent promises efficiency and improved AI outcomes, teams should prepare for tradeoffs by setting review processes, privacy controls, and clear responsibility models. Ultimately, careful adoption will determine whether the assistant becomes a productivity multiplier or a new source of maintenance work.

Keywords

knowledge agent, knowledge agent site improvement, knowledge agent features, site improvement features, website knowledge management, site search improvement, website optimization tools, content discovery and organization