What does the benchmark say about page design for AI citations? | Trakkr Research
It says citeable pages are explicit, structured, and evidence-dense. They tend to be long enough to resolve a topic and formatted so a model can extract answers confidently.
Methodology: Built from 1,465 AI-cited pages across 950 domains, using 28,033 citation opportunities and page-level crawl analysis.
Direct Answer
Mostly, the benchmark indicates citeable pages are explicit, structured, and evidence-dense. They average 2,289.6 words to resolve a topic and are formatted so a model can extract answers confidently.
What this means
This turns study findings into operating rules teams can use to prioritize structural elements like canonical tags and schema when deciding what to publish, refresh, or measure next.
Evidence table
| Metric | Value | Why it matters |
|---|---|---|
| Pages with schema | 67.8% | Share of cited pages with schema markup. |
| Average word count | 2,289.6 | Average word count of cited pages. |
| Canonical tag rate | 91.4% | Share of cited pages with a canonical tag. |
| OG tag rate | 89.2% | Share of cited pages with Open Graph tags. |
Frequently Asked Questions
How common is schema markup on cited pages?
The benchmark shows that 67.8% of cited pages use schema markup.
What is the average word count for a cited page?
The average word count of cited pages is 2,289.6 words.
Do cited pages typically use canonical and Open Graph tags?
Yes, the canonical tag rate is 91.4% and the Open Graph tag rate is 89.2% among cited pages.
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.
- what is the most useful way to interpret the schema data - Related answer page
- why does content density show up so strongly in the citation benchmark - Related answer page
- more than two thirds of cited pages have schema - Related fact page
- cited page traits tracker - Related tracker page
Data & Sources
- The Anatomy of an AI Citation - Flagship study behind this page
- Page JSON - Machine-readable companion file