What is schema markup and why does it matter for reputation?

Schema markup (structured tags that tell search engines and AI what a page is about) is structured data, a standardized vocabulary usually in JSON-LD, added to a web page to tell search engines and AI systems what the page and its entities actually are, in machine-readable terms. Instead of leaving the systems to infer from prose that a page is about a person who is the CEO of a company, schema states it explicitly: this is a Person, their jobTitle is CEO, they work for this Organization, and here are the authoritative profiles that confirm the identity. It matters for reputation because it removes ambiguity at exactly the layer where Knowledge Panels and AI answers are built. Well-formed schema increases the systems’ confidence in the entity, makes eligible pages qualify for the rich results Google still supports, and supplies clean facts that the AI engines can extract and reuse more reliably than free prose. For Q&A content, note that Google retired FAQ rich results in 2026, so FAQPage markup now earns its keep by helping engines and readers parse a clean question-and-answer structure rather than by producing a SERP (the Google results page) accordion. We deploy the reputation-relevant schema types (Organization, Person, Article, FAQPage, and sameAs, which links profiles that are the same entity) on owned properties as a foundational part of the entity layer, because schema is one of the few entity signals a client controls directly and completely.