Marketing teams are under pressure to move faster. The real challenge isn't generating more content but navigating an idea to launch without losing time to repeated briefings, manual handoffs, and rework across disconnected systems.
That is where many AI tools fall short. They can generate outputs, but teams still spend time rebuilding context and adapting the work before it is actually usable. The AI works, but the workflow around it does not.
Agentic Studio changes that. It is the workspace inside SitecoreAI’s fully integrated digital experience platform (DXP) built for the age of AI where teams build and govern AI agents that understand their marketing context, take on repeatable tasks, and help create content, connect data, and personalize experiences at scale.
So, what’s new?
Prefer video? Watch the announcement video to see what's new.
Let’s get into it.
Agents that live where your team already works
Every week, your team builds pages, tunes them for search, and rolls them out market by market. Most AI tools sit outside that work. Content must move between systems, and context must be rebuilt before anything useful comes out.
With SitecoreAI, agents live inside the places your team already creates and publishes content. In Page Builder, for example, your team can call on an agent directly from the page they're working on. Because the agent already knows the page's context, it can run an answer-engine optimization (AEO) and SEO audit or translate the copy in place, without leaving the workflow.
The result: faster work, and a brand voice that holds because context stays with the content from the start.
Agents you can build without code
Every marketing team has its own rhythm, from how briefs are written to how content gets approved and shipped. Most tools force you to change that rhythm to fit them. SitecoreAI molds to the way your team already works, with no developer needed.
With this release, anyone on your team can describe what they need an agent to do, and Agent Builder builds it. No code required. Whether it's a content QA agent that checks pages against brand standards or a brief reviewer that flags gaps before launching, your team can build agents that match the way they actually work.
Agents don't have to work alone, either. On a visual canvas, your team can chain them into workflows that connect SitecoreAI to your CRM, and the rest of the tools they rely on every day. Instead of coordinating tasks by hand across different tools, your team runs connected workflows across the whole operation, without leaving SitecoreAI.
When the work needs to happen across hundreds of assets at once, Mass Action runs your workflows in parallel. Bulk content generation and brand checks happen together in a single pass, with context preserved between tasks, so your team doesn't have to wait for one step to finish before the next can start.
The result is a flexible way to build agents and plug them into the work your team is already doing.
Agents you can scale consistently
As AI use spreads across your team, consistency gets harder to hold. Content drifts from the brand, and approvals turn into a bottleneck because every output must be checked against the standard.
With SitecoreAI, your team defines a repeatable task once and applies it across every agent and workflow that needs it. Create a Skill by describing how a task should be done, how to structure a brief, or how to review content against brand standards. That definition is then built into that workflow, so every agent and every output follows the same standard.
Want to explore what's next for SitecoreAI?
A quick look at what else we released
Agents are advancing, both in what they can produce and in how they connect to the rest of your stack. Your team can now generate ad creative and ad copy together in a single pass, matched to the campaign and the audience. Dashboards and scorecards ship as agent outputs, ready to share without a separate build step.
Signals will give your team more control over how to act on market shifts. Once a signal is picked up, you decide which agent runs and what it produces before the work starts.
Agents will also reach further into the tools your team already uses. Model Context Protocol (MCP) connections, such as Figma, plug directly into Agentic Studio and run inside agent workflows without custom integration. And because agents can run work in parallel, the tasks that used to happen step by step now move much faster.
Together, these updates give your team more ways to produce AI-assisted work and connect it across the platforms they already use, at no extra cost.
What this release means
Agentic Studio brings AI into the way marketing work already happens. Agents understand the task in front of them and the standards behind it, while Agent Builder, Skills, workflows, and governance keep that work consistent as it scales.
The result is marketing teams that move faster, without giving up the quality and control the brand depends on.