Structured data that tells machines what your content is.

The best free resources

1. We Tracked 1,885 Pages Adding Schema. AI Citations Barely Moved. — Louise Linehan, Ahrefs (2026-05-11)
   The best causal test so far: adding JSON-LD gave no citation uplift

2. Schema, LLMs & The Low Bar For "Evidence" In GEO — Mark Williams-Cook, Search Engine Journal (from author's Substack) (2026-06-16)
   Invalid JSON-LD still read as text, so LLMs read schema as plain text. Still useful for entities.

3. The Three Lives of Schema Markup: A Beginner's Guide to How Google and LLMs Actually Use It — Suganthan Mohanadasan, suganthan.com (2026-05-13 (mod. 2026-05-28))
   Clear model: index pipeline vs pretraining vs live retrieval; schema as entity infrastructure

4. Microsoft Confirms Schema Helps Its LLMs (Copilot) Understand Your Content — Barry Schwartz (reporting Fabrice Canel), Search Engine Roundtable (2025-03-20)
   The other side: Bing says schema helps Copilot. Second-hand, disputed by Williams-Cook.

5. Introduction to Structured Data Markup in Google Search — — (Google), Google Search Central (live 2026-11)
   How to implement JSON-LD correctly; markup must match visible content

6. Organization (schema.org type) — — (schema.org community), schema.org (V30.1, 2026-09-16)
   The type most relevant to brand/entity GEO; reference for properties

Strategies for this step

• Implement Schema.org Structured Data

See all GEO strategies →

Curated by effectiveGEOstrategy.com. Every link checked 2026-11-10. Know a better free resource? Tell us.