For AI discoverability, JSON-LD is strongly recommended. Whilst all three formats are valid Schema.org implementations, JSON-LD offers decisive advantages: AI systems parse JSON-LD more efficiently than HTML-embedded formats; JSON-LD enables proper entity graphs through @id referencing; it separates content from presentation for cleaner architecture; it simplifies validation and debugging; and it aligns with NLWeb principles for LLM ingestion. Microdata and RDFa embed markup directly in HTML, creating maintenance challenges and limiting relationship expressiveness. VISEON can audit any Schema.org format, but for optimal AI discoverability and future-readiness, organisations should prioritise JSON-LD implementation. Most modern WordPress schema plugins support JSON-LD output, making migration straightforward for existing implementations.
Related Topics
Json Ld | Microdata | Rdfa | Structured Data