# The Anatomy of an AI Citation | Trakkr Research Canonical URL: https://trakkr.ai/trakkr-research/anatomy-of-an-ai-citation/answers Published: 2026-03-30 Last updated: 2026-03-30 Author: Mack Grenfell What cited pages look like: schema, depth, authorship, and formatting patterns. Answer pages, reference facts, and live trackers drawn from this study. ## Methodology Derived from The Anatomy of an AI Citation and updated March 30, 2026. ## What this hub contains What cited pages look like: schema, depth, authorship, and formatting patterns. Answer pages, reference facts, and live trackers drawn from this study. ## Answer Pages Narrow questions answered directly from the study. - Do AI-cited pages usually have schema markup? - Yes. 67.8% of cited pages in the study have schema markup, versus a 38.5% web-average benchmark, and the most-cited subset rises to 80%. - Does FAQ schema correlate with higher citation volume? - Yes, in this benchmark. Pages with FAQ Schema + FAQ Content average 36.9 citations versus 25.4 for pages with no FAQ signal, though the subgroup is small and should be read carefully. - How long are pages that get cited by AI? - They are usually long-form. Average word count is 2,289.6 words, and 78.4% of cited pages are above 1,000 words. - Which schema types over-index most on AI-cited pages? - Person schema over-indexes the most in the benchmark at 9.4x the web average, while FAQPage is also materially overrepresented at 2.4x. - Do the most-cited pages look more structured than the average web page? - Yes. They are much more likely to use schema, canonical tags, Open Graph tags, and long-form content than the average page on the web. - Does authorship look important on cited pages? - Yes. Person schema is the most overrepresented schema type in the benchmark at 9.4x the web average, which suggests cited pages often make authorship explicit. - Are canonical and Open Graph tags common on cited pages? - Yes. 91.4% of cited pages in the study have canonical tags and 89.2% include Open Graph tags. - Is schema enough on its own to earn AI citations? - No. Schema is common among cited pages, but the benchmark also shows that cited pages are long, structured, and rich in answerable content. Markup helps, but it does not replace substance. - What does the benchmark say about page design for AI citations? - 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. - What is the most useful way to interpret the schema data? - 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. - Why does content density show up so strongly in the citation benchmark? - Because dense pages are better at resolving ambiguity. The benchmark’s 2,289.6 average word count and 78.4% share above 1,000 words show that cited pages usually answer the full question, not just part of it. - What should you copy from pages that already win citations? - Copy the structure, not the brand halo. Use explicit answers, dense but skimmable sections, visible authorship, clear metadata, and supporting schema where it genuinely helps parseability. ## Reference Facts Short, quotable claims with metrics and methodology context. - More than two thirds of cited pages have schema - An analysis of 1465 AI-cited pages from The Anatomy of an AI Citation study reveals that 67.8% of these pages implement schema markup. - The most-cited pages hit an 80% schema rate - In the Anatomy of an AI Citation study, analysis of the highest-cited subset of pages reveals an 80 percent schema prevalence rate. - FAQ schema plus FAQ content pages average 36.9 citations - The FAQ-structured subgroup performs strongly in the benchmark. - Pages with no FAQ signal average 25.4 citations - The no-FAQ baseline is materially lower than the FAQ-structured subgroup. - Average word count of cited pages is over 2,000 words - Cited pages are usually dense enough to resolve the topic fully. - Nearly four in five cited pages are over 1,000 words - Long-form depth is the norm in the benchmark. - Canonical tags appear on over 90% of cited pages - Metadata hygiene is common in the cited-page benchmark. - Person schema is the most overrepresented schema type - In The Anatomy of an AI Citation study, analysis of structured data reveals that Person schema is the most overrepresented schema type on cited pages compared to the general web baseline. ## Trackers Live benchmark views built from the study’s most reusable dimensions. - Benchmark profile of AI-cited pages - Benchmark profile of AI-cited pages from the study The Anatomy of an AI Citation. - Schema types overrepresented on cited pages - Benchmark data tracking the prevalence of specific schema types on AI cited pages compared to the general web. ## Data And Sources - [The Anatomy of an AI Citation](https://trakkr.ai/trakkr-research/anatomy-of-an-ai-citation) - Flagship source study - [Hub JSON](https://trakkr.ai/data/research-answers/anatomy-of-an-ai-citation/hub.json) - Machine-readable hub payload