Making Websites AI-Readable: Beyond Human-Centric Design

We understand the world through connections. When you learn something new, your brain doesn't file it away in isolation, it integrates it into existing knowledge, creating a web of relationships that gives meaning to individual facts. A data infrastructure provider recently shared with me that their metadata now signifacatlly outweighs their actual data, indicating that even in our information systems, relationships matter more than raw content. The internet is rich with these connections, but they're not always accessible or relevant. Now, as AI agents become primary consumers of web content, are we structuring our sites so these systems can build the same rich understanding that humans naturally create?

RAG Context Engineering

Intelligence is what one can do with a little bit of information. Stupidity is what one can't do with a lot of information. Today's LLMs and AI fall into the latter category; however, we can push them in the direction of the former by providing them with the context they require to make decisions. The most effective way of doing that is with Retrieval-Augmented Generation (RAG).[1]