What is the most useful way to interpret the schema data? | Trakkr Research
Interpret it as a benchmark profile rather than a magic lever. The schema data shows what cited pages tend to have in common, which helps teams design better page templates even when it does not prove strict causality.
Methodology: Built from 1,465 AI-cited pages across 950 domains, using 28,033 citation opportunities and page-level crawl analysis.
Direct Answer
Mostly, interpret it as a benchmark profile rather than a magic lever. The schema data shows what cited pages tend to have in common, which helps teams design better page templates even when it does not prove strict causality.
What this means
This approach turns correlation data into an operating rule that teams can use to prioritize template updates, content refreshes, and measurement frameworks.
Evidence table
| Metric | Value | Why it matters |
|---|---|---|
| Pages with schema | 67.8% | Share of cited pages with schema markup. |
| Person schema lift | 9.4x | Person schema over-indexes heavily on cited pages. |
| FAQPage lift | 2.4x | FAQPage is overrepresented relative to the web average. |
Frequently Asked Questions
How common is schema markup on cited pages?
Pages with schema account for 67.8% of cited pages in the study.
Which specific schema types show the highest correlation with citations?
Person schema lift is 9.4x, heavily over-indexing on cited pages, while FAQPage lift is 2.4x relative to the web average.
What to do next
- Make answer pages denser, more structured, and more explicit about authorship and freshness.
- Use schema where it helps machine readability, but avoid treating markup as a substitute for strong content.
- Design pages to be extractable using concise answers, tables, lists, authors, and clearly marked evidence.
Related pages
Continue through the same study cluster.
- why does content density show up so strongly in the citation benchmark - Related answer page
- what should you copy from pages that already win citations - Related answer page
- the most cited pages hit an eighty percent schema rate - Related fact page
- schema type lift tracker - Related tracker page
Data & Sources
- The Anatomy of an AI Citation - Flagship study behind this page
- Page JSON - Machine-readable companion file