Storyblok launches Agents to automate content tasks

Storyblok has launched Storyblok Agents for its content management system, adding a conversational interface for content operations.

Teams can use the tool to identify content issues such as stale pages, duplicated material, missing translations and broken links, then make changes within the same workflow. Users can also create custom agents for recurring tasks and schedule them to run automatically.

The launch addresses a familiar problem for large content teams: the administrative burden of maintaining digital content across multiple channels and markets. Marketers, developers and content teams can ask the system for reports or checks in plain language rather than relying on manual reviews inside the CMS.

Users can choose which AI provider and model to use with the system. They can also use their own AI credentials, giving them direct control over spending and access settings.

Alongside the new product, Storyblok is offering an MCP Server designed to let compatible AI agents access a Storyblok workspace outside the CMS. The server provides structured access to content environments for teams that want to connect external agents to their workflows.

Content burden

The release comes as Storyblok published research with FT Longitude on the cost of content maintenance. According to the findings, the average enterprise content team spends 105.4 hours each week on maintenance work, while 34% of total content spending goes on fixing content debt.

Content debt includes material that is outdated, poorly structured, difficult to update and not optimised for search or AI discovery. The study also found that 69% of executives see improving content strategy as more of a technical challenge than a creative one.

Those figures point to a shift in how businesses are thinking about digital publishing. For many organisations, the issue is no longer simply creating new material, but keeping large existing content estates accurate, structured and ready for distribution across websites, apps and search tools.

Storyblok's approach reflects a broader push by software vendors to use AI interfaces for routine work inside enterprise applications. In content systems, that often means reducing the steps needed to identify errors, assign fixes and repeat checks over time.

Storyblok Agents can be used to build task-specific assistants such as campaign managers or translators. By allowing teams to create and schedule these agents, the platform moves beyond one-off prompts towards repeatable operational tasks within the CMS.

That may appeal to organisations trying to cut the time spent on housekeeping work that often falls between editorial, marketing and development teams. In practice, tasks such as translation checks, content freshness reviews and link validation can become difficult to manage at scale when handled manually.

Executive view

Dominik Angerer commented on the launch in a statement.

"Manual content workflows aren't good enough for the speed at which companies need to operate today. With Storyblok Agents, content teams can complete tasks faster and automate workflows that keep content healthy. Since the agents only operate based on your permissions and approval, you can have confidence that your content is in good hands," said Dominik Angerer, Chief Executive Officer and Co-Founder of Storyblok.

Storyblok said the product is available through Storyblok Labs on Growth plans and above. The release positions the feature as a new operational layer in the CMS rather than a separate application, suggesting the company wants AI-driven content maintenance to sit closer to day-to-day publishing processes.

Storyblok is best known for its headless CMS, used by businesses to manage structured content across different digital channels. With Storyblok Agents, the company is positioning the product as a way to reduce friction in content operations at a time when enterprises are under pressure to keep material current not only for conventional web publishing, but also for emerging AI-driven discovery tools.