schema markup

Structured data embedded in a page (usually as JSON-LD) that describes what the page is about in a machine-readable vocabulary defined at schema.org.

Schema markup uses the vocabulary maintained at schema.org — a joint project of Google, Microsoft, Yahoo, and Yandex since 2011 — to declare the type and properties of a page's content. A product page can declare itself a `Product`, with `name`, `price`, `Review` objects, and an `AggregateRating`. A FAQ page can declare itself a `FAQPage` with `Question` / `Answer` pairs.

The three schemas that matter most for AI citations in 2026 are `FAQPage`, `Product` (with `Review` / `AggregateRating`), and `HowTo`. These are the types LLMs are most reliably trained to read and reproduce. Other types (Article, Organization, BreadcrumbList) help but with smaller lift.

Schema is delivered as a JSON-LD block inside the page's `<head>` or inline in the body. Validity matters: a broken schema block is ignored wholesale. Always test with the Google Rich Results Test and the Schema.org validator before shipping.

In AIRRNK

AIRRNK detects schema on every scanned page, grades it for validity and completeness, and ships an auto-injection feature via the WordPress plugin and Shopify app that can generate missing schema from your existing content.

Signals · sourced
72.4%of cited pages include ≥2 question-based H2sCited-page pattern audit, 2026
+30–40%citation lift when GEO schema is correctly appliedAggarwal et al. · Princeton
42%of B2B buyer research now starts inside an LLMForrester Research, 2026

Written by

The AIRank Editorial Team

Research & editorial, AIRank

The AIRank editorial team runs the 47-point scanner, the Observer pings, and the GEO research programme every week. Writing is reviewed by the core engineers who build the Injector, Blaster, and Surgeon agents.

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