GEO (Generative Engine Optimization)
GEO — The practice of structuring content so AI engines can accurately extract, cite, and reference it. GEO techniques include structured data markup, evidence density optimization, question-format headings, and comparison tables. While AEO focuses on the goal (getting cited), GEO focuses on the method (content structure).
GEO is the tactical counterpart to AEO. Where AEO is the strategy (get your brand cited in AI answers), GEO is the execution (structure your content so AI engines can accurately extract and cite it). The six core GEO techniques are: structured data markup (JSON-LD), answer capsules, question-format headings, evidence density optimization, comparison tables, and topical clustering.
GEO is particularly important because AI engines do not just find your content — they interpret, summarize, and re-present it. If your content is poorly structured, the AI may misrepresent your brand, cite incorrect pricing, or attribute your features to a competitor. CiteRank's Page Optimization feature analyzes your pages for GEO readiness and provides actionable recommendations.