GEO Checker

A GEO checker grades a web page on how likely AI engines are to quote, cite, and surface it in their answers. Enter a URL and the checker fetches the live page, evaluates it on five generative engine optimization criteria - answer capsule, cited statistics, GEO structure, E-E-A-T signals, and schema markup - and returns a 0-100 score with an A-F grade, a criterion-by-criterion breakdown, and a prioritised list of quick wins.

Generative Engine Optimization (GEO) is the practice of structuring content so AI engines - ChatGPT, Perplexity, Gemini, Claude, and others - are more likely to quote it, cite it, or surface the brand behind it in their answers. Traditional SEO targets Google's link-ranking algorithm; GEO targets the language models and retrieval systems that decide what to include inside an AI answer. A GEO checker applies those criteria to a real page and returns an objective grade.

The five criteria a GEO checker evaluates come directly from the research. The Princeton / Georgia Tech GEO study (published at ACM KDD 2024, arXiv:2311.09735) tested nine optimization tactics across 10,000 queries on Perplexity and found that adding cited statistics lifted AI visibility by up to 40%, while a direct quotable answer in the opening section was the single most reliably citable element. Those two criteria alone account for 40 of the 100 points in this checker's scoring model. The remaining 60 points cover GEO structure (question-style headings, key takeaways block, FAQ section), E-E-A-T signals (author info, methodology, last updated date), and schema markup (JSON-LD, canonical, meta description) - the supporting layer that makes the content trustworthy and machine-readable.

The grade is not an estimate. The checker fetches your actual live page, reads its text and markup, and passes both to Gemini with a structured scoring rubric. What comes back is a per-criterion score grounded in what the model found on your page, not a generic checklist. A page that leads with a direct 1-2 sentence answer for its target keyword, cites at least one real statistic, uses question-style H2s, names its author and a last-updated date, and carries valid JSON-LD can score an A. A page that does none of those things may score an F even if it ranks well on Google - because GEO and traditional SEO are separate disciplines.

Start with the letter grade and score. An A (80-100) means the page is well-optimized for generative engine citation - it leads with a direct answer, cites real sources, uses clear structure, names its author, and carries schema markup. A B (60-79) is a solid foundation with one or two gaps that a targeted fix would close. A C (40-59) means the page is indexed and readable but missing several of the signals AI engines use to select content for citations. A D or F (below 40) means the page is unlikely to be cited in AI answers for its target keyword regardless of its Google rank - the content structure is fundamentally misaligned with how AI engines extract and quote information.

Then read the criterion breakdown. Each of the five criteria is scored 0-20. A pass (12+) means the criterion is meaningfully satisfied; below 12 means it needs work. The criteria are not equally urgent: Answer Capsule and Statistics and Sources are the two highest-leverage signals from the GEO research - a page that fails both will rarely be quoted by an AI engine even if the other three criteria are perfect. Fix those first. The quick wins list translates the lowest-scoring criteria directly into specific, actionable edits, ranked by expected score improvement.