What is the role of knowledge panels and structured data in AI search?

The Knowledge Graph (Google’s database of entities and facts) and the structured facts it holds are foundational AI inputs because several major engines draw on them. Gemini tends to rely on the Knowledge Graph for core facts about a company or person. Google AI Overviews often use it for context in the summary they generate. Knowledge Panels show the same data in the standard Google results people see. The implication for a reputation program is that the Knowledge Graph and the Wikidata, schema markup (structured tags that tell search engines what a page is about), and Wikipedia sources that feed it are not separate workstreams from AI reputation; they are part of it. When the Knowledge Graph has the brand’s founding date wrong, Gemini will often repeat the wrong date with confidence; when it has the leadership wrong, AI Overviews frequently do too. Fixing these underlying facts tends to fix what the engines say across several of them at once, which is part of why it is one of the highest-leverage interventions in the discipline.