AI systems are only as good as the data they work with. Yet when publishing content is split into chunks, context, semantics and the connection to the original source can easily get lost.

This presentation shows how publishers can transform their content into structured, enriched and uniquely addressable units and make them available through their own corpus, independently of individual AI providers.

Using a concrete architecture, we will show how this content can be made available in a controlled way through APIs, MCP and agentic applications, with the ability to license and meter access.

AI readiness thus becomes more than technical preparation: it provides the foundation for data sovereignty, better AI applications and new business models for publishers.