Machine-Readable Context
Machine-readable context includes the markup, metadata, internal relationships, content structure, and supporting files that help a non-human system understand content. It reduces ambiguity by making meaning more explicit.
Humans can infer meaning from design, tone, and incomplete clues. Machines usually need more explicit signals.
That is why semantic HTML, schema, clean architecture, and supporting machine-readable files all matter.