JSON-LD Schema: Speaking AI's Language
How structured data markup helps AI understand your content with confidence.
What it measures
This metric checks whether your page includes JSON-LD structured data — machine-readable markup that explicitly tells AI what your content is about, who wrote it, when it was published, and what type of content it is (Article, Product, FAQ, etc.).
Why it matters for AI
Structured data is like adding name tags to your content. Without it, AI has to guess what "Jane Smith — CEO, Acme Corp" means. With JSON-LD, you're explicitly telling AI: "Jane Smith is the author, she's a CEO, and she works at Acme Corp." This eliminates guesswork and gives AI high-confidence metadata.
| Without structured data | With structured data (JSON-LD) |
|---|---|
| AI sees text. Guesses context. | AI knows exact types, roles, and relationships. |
| "Jane Smith" — person? brand? product? | Person → name: "Jane Smith", jobTitle: "CEO" |
| Date ambiguous: US or EU format? | ISO 8601: "2024-03-01T10:00:00Z" |
| Page type unknown | @type: "Article" — clear content classification |
How to improve
- Add Article or WebPage JSON-LD — Include author, datePublished, dateModified, and headline
- Use Google's Rich Results Test — Validate your markup at
search.google.com/test/rich-results - Include key properties — author (Person), publisher (Organization), image, and description
- Add FAQ schema for Q&A content — If your page answers common questions, add FAQPage schema
💡 Quick win
Add a basic Article schema with headline, author, datePublished, and dateModified — this covers the most important signals.