Full definition
Structured Data for AI refers to the family of machine-readable markup formats — primarily schema.org JSON-LD, Open Graph, and the Linked Open Data cloud — that allow AI search engines to parse a web page into discrete fields (organization name, founder, founding date, product, price, address, review rating) rather than relying solely on raw HTML text extraction. While structured data was originally a Google-rich-result tactic, its importance multiplied with the rise of generative engines because LLMs use structured data as a high-confidence disambiguation signal: a page with clean schema.org Organization markup that says "@type": "Organization", "name": "Harch Atelier", "foundingDate": "2024-01-01" is far more likely to be cited correctly than a page that buries the same facts inside prose paragraphs. The minimum viable structured-data stack for GEO includes Organization, WebSite, BreadcrumbList, Article or Product on relevant pages, FAQPage on support pages, and Person on author bios. Harch Atelier deploys a unified structured-data layer across all client properties, validated against the Schema.org validator and Google Rich Results Test, and re-crawled weekly to catch regressions.