AI systems are now answering questions about your business. The problem is that they are often getting it wrong. Consider the typical situation. A brand’s products, services, expertise, locations, leadership, and relationships are distributed across dozens of pages. An AI model retrieves fragments from those pages, stitches them together probabilistically, and generates an answer. The result is often hallucinated product names , invented executives, misquoted capabilities, and weak or absent attribution. This is not a failure of AI models. It is a failure of the medium itself. We have built the web around pages, links, and prose. AI retrieval systems need something fundamentally different: a structured layer of meaning and evidence. The Proposal: EntityMap EntityMap has just entered public consultation. It is a new open standard that gives organizations a way to publish a single structured file.…