Definition
AI citation schema markup is structured data added to web pages that helps AI systems identify, attribute, and cite content accurately when generating responses, increasing the likelihood of appearing in AI overviews and LLM-generated answers.
In Depth
As AI overviews become a major source of web traffic, getting cited by AI systems is increasingly important for content visibility. AI citation schema markup goes beyond traditional SEO structured data by optimizing for how LLMs parse and attribute sources. This includes using schema.org types like Article, FAQPage, HowTo, and ClaimReview with complete author, datePublished, and source attribution. Pages with clear factual claims, well-structured headings, and proper schema markup are more likely to be selected as citation sources by Google's AI Overview, Bing Copilot, and other AI-powered search features. Tracking whether your content gets cited requires monitoring AI overview results through SERP APIs like Scavio that parse AI overview citations and identify which URLs are referenced.
Example Usage
An e-commerce site adds FAQPage and Product schema markup to their category pages. Using Scavio's AI overview tracking, they monitor which pages get cited in Google AI overviews for their target keywords and iterate on schema markup based on citation data.
Platforms
AI Citation Schema Markup is relevant across the following platforms, all accessible through Scavio's unified API:
Related Terms
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