If you ask ChatGPT, Gemini, Perplexity language models, or any AI agent about your brand and the response sounds like it could describe any of your competitors, you have a structural problem. AI agents do not read websites the way humans do. They read structured data, resolve entities, and reason from what has been formally declared. If your Schema.org markup only encodes facts (name, role, industry, location) then AI will return only facts. The result is a description that is factually correct but personality-free. VISEON calls this the Tin Man problem: your brand has a heart, but AI cannot see it because it has never been encoded in machine-readable form. A Knowledge Graph Assessment reveals the gap between what AI currently says about you and what it should say.
