Structured data for AI is the same underlying technology as traditional schema markup — standardized, machine-readable labeling of content — applied with particular attention to the formats and types that AI systems draw on when generating answers and deciding what to cite.
FAQ schema is a notable example: when AI systems generate conversational answers, they're often looking for content already in question-and-answer format, since that matches the shape of their own output. Organization, Person, and Article schema similarly give AI systems explicit entity and authorship context they'd otherwise have to infer.