Do language models actually read schema?

Retrieval and indexing layers do, and structured data reduces the ambiguity a model has to resolve on its own. It is a supporting signal, not a magic switch.

Guide · Powered by the full LLMao scan

Schema Markup for AI Search

Structured data tells AI systems what a page is without making them guess. Here is what to add, and what to skip.

Start with identity

Organization and WebSite markup on the site level, then per-page types that match the content. Identity first: if a model cannot confirm who publishes a page, everything else is weaker.

Implementation notes

Use JSON-LD in the HTML source, not injected after hydration.
Keep markup consistent with the visible content.
Include author and dates on editorial pages.
Validate the JSON — one syntax error voids the block.

What LLMao checks for structured data

These are real tests from the LLMao methodology — the same ones that run in every scan, covering Schema.org Markup, Entity Definition.

JSON-LD or Microdata Present

Schema.org Markup

Valid structured data format detected on the page

Core Schema Types

Schema.org Markup

Organization, WebSite, and WebPage schemas present

Content-Specific Schemas

Schema.org Markup

Article, FAQPage, Product, HowTo, Person, or other relevant types

Schema Completeness

Schema.org Markup

Required and recommended properties are populated

Schema Validation

Schema.org Markup

No syntax errors or missing required fields

The same scan also examines content structure, readability, authority & trust signals, citation & source quality, content freshness, technical accessibility — you always get the complete report. See the full methodology.

Frequently asked questions

Keep reading

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Crawler access, content structure, structured data, entity clarity, metadata, trust signals and more — 8 categories, 35+ tests, one report you can save and rescan.

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