Machine-Readable Content
Content formatted so that software and agents can parse and use it without human interpretation.
Definition
Machine-readable content is information presented in a format that programs and AI agents can parse unambiguously: JSON-LD, microdata, well-defined APIs, or clear textual structure that tools can extract reliably.
Why it matters
Agents depend on machine-readable signals to quote prices, dates, and facts. Combining structured data (e.g. Schema.org) with clear text improves both traditional SEO and GEO.
See also
Related: GEO, Semantic Fragment, schema.org.