GEO Analyzer

GEO is the practice of optimizing content so that AI models like ChatGPT, Perplexity, and Google Gemini are more likely to cite it in their responses. It focuses on authorship, data density, source credibility, and structured claims.

AI models prioritize content with clear authorship, original data, authoritative sources, structured claims, and topical depth. Content that signals expertise and provides verifiable facts is more likely to be cited in AI-generated answers.

It checks 11 GEO factors: author attribution, unique data and statistics, source credibility (authoritative outbound links), structured claims, topical depth, schema markup quality, content originality signals, entity clarity, content freshness, summary sections, and content structure cleanliness.

AI models use authorship signals to assess credibility. Content with both a visible byline and Person schema markup is more likely to be treated as authoritative and cited in AI responses.

Links to .gov, .edu, .org domains and known authoritative publications (Reuters, BBC, Harvard, Nature, etc.) signal that your claims are backed by credible sources. AI models weight content that references these sources more heavily.

Regular SEO optimizes for Google's ranking algorithm. GEO optimizes for how AI models evaluate and cite content. The focus shifts from keywords and backlinks to authorship, data density, source attribution, and content structure that AI can easily parse.