Search is being replaced by AI answers, and the new goal is to be the page that gets cited. This free AI visibility checker scores how likely answer engines like ChatGPT, Gemini, and Perplexity are to quote a page — based on the structural signals they reward, from FAQ schema to extractable data.
How the AI visibility checker works
Enter a public URL and the tool analyzes the page for the signals that correlate with getting cited in AI answers: FAQ or HowTo schema, clear subheadings, lists and tables an AI can lift, a meta description, sufficient depth, statistics and data worth quoting, a descriptive title, and author or provenance signals. It measures on-page citability — it does not query live AI models, so pair it with real share-of-model tracking for the complete picture.
Frequently asked questions
How do AI answer engines decide what to cite?
They favor content that is clearly structured and easy to extract: concise answers, headings, lists, tables, statistics, and schema markup, backed by trust signals like author identity and a credible domain. Research also shows a strong correlation between ranking in traditional search and being cited in AI answers.
What is share-of-model?
Share-of-model is how often your brand is mentioned or cited across AI answer engines, the AI-era equivalent of search ranking. This tool measures the on-page factors that influence it; tracking actual mentions requires an AI-visibility monitoring service.
How can I improve my chances of being cited?
Lead with clear answers, add FAQ or HowTo schema, include original statistics and data, use descriptive headings and lists, and strengthen author and entity signals. Strong traditional SEO remains the foundation.