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llms.txt GeneratorWhat does the benchmark say about page design for AI citations?
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.
The key numbers.
- Pages with schema
- Share of cited pages with schema markup.
- 67.8%
- Average word count
- Average word count of cited pages.
- 2,289.6
- Canonical tag rate
- Share of cited pages with a canonical tag.
- 91.4%
- OG tag rate
- Share of cited pages with Open Graph tags.
- 89.2%
Answer strips, tables, metadata, schema, and visible authorship function as practical design choices for machine extraction rather than mere SEO ornament.
The evidence.
| Measure | Result |
|---|---|
| Pages with schema Share of cited pages with schema markup. | 67.8% |
| Average word count Average word count of cited pages. | 2,289.6 |
| Canonical tag rate Share of cited pages with a canonical tag. | 91.4% |
| OG tag rate Share of cited pages with Open Graph tags. | 89.2% |
Population and method
Built from 1,465 AI-cited pages across 950 domains, using 28,033 citation opportunities and page-level crawl analysis.
Where the evidence stops
Most findings are correlational. Overrepresented traits are not the same as proven causal lifts.
Some subgroups, especially FAQ Schema + FAQ Content, are relatively small and should be read carefully.
The study looks at cited pages rather than all uncited pages in the open web, so it is best used as a benchmark profile.
What to do with this
- 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.
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.
Questions about this answer.
Cite this answer.
Source study: Anatomy of a Citation“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.”
Mack Grenfell · What does the benchmark say about page design for AI citations?
The Anatomy of an AI Citation · Trakkr Research · Updated 30 March 2026