Advisory analysis of how well your content structure supports AI systems extracting and understanding your content.
This check analyzes how well your page is structured for AI systems to understand and extract information from. It examines several signals: whether you use semantic HTML tags (like '<article>' and '<section>'), clear and descriptive headings, author information, structured data (Schema.org), descriptive URLs, and whether there's enough text content for AI to work with. It then gives your page a confidence score based on how well these signals come together.
AI-powered search engines and chatbots (like Google's AI Overview, ChatGPT, and Perplexity) work by extracting and summarizing information from web pages. Pages with clear structure, proper headings, identified authors, and well-organized content are much easier for AI to understand accurately — and therefore more likely to be cited and quoted correctly in AI-generated answers.
This is an advisory check with a confidence score — it is NOT a guaranteed ranking signal from any search engine. However, well-structured content that is easy for both humans and AI to understand tends to perform better overall. Think of it as future-proofing your content for the growing role of AI in search.
Run a free audit to see how your site performs on AI Content Extractability and 159 other checks.
Start Free AuditChecks for the presence, length, and content of the meta title tag.
Evaluates the meta description for its presence, length, and relevance.
Verifies the presence and uniqueness of the H1 heading tag.
Checks for the presence and structure of H2 heading tags.