What Actually Predicts Whether AI Cites Your Website
This article challenges the SEO industry's assumptions about AI search visibility. It presents the results of auditing 7 websites for AI citability, finding that domain authority does not predict AI citations.
Why it matters
This research provides valuable insights into the factors that actually predict whether AI systems will cite a website, which is crucial for businesses and content creators looking to improve their AI visibility and discoverability.
Key Points
- 1Domain authority has zero correlation with AI citation rates
- 2Ahrefs (DA 92) is 100% AI-visible but only 5% cited
- 3A new site with DA under 10 achieved 15% citation rate, outperforming high-DA sites
- 4The three strongest predictors are answer-first content, dateModified schema, and original data
- 5Only 12% of URLs cited by LLMs appear in Google's top 10 results
Details
The article presents the results of auditing 7 websites for AI citability using the AI Visibility Readiness (AVR) framework. It examines 10 signals that AI crawlers use to discover and parse content, including robots.txt, sitemap.xml, answer-first content, content freshness, structured data, and more. The data shows that domain authority has zero predictive power for AI citations, with high-DA sites like Ahrefs (92 DA) achieving only 5% citation rate, while a new site with under 10 DA achieved 15% citations. The key factors that predict AI citability are answer-first content structure, use of dateModified schema, and having original data. The article also finds that only 12% of URLs cited by large language models (LLMs) appear in Google's top 10 search results, challenging assumptions about SEO and AI visibility.
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