A critical survey of 45 studies published between November 2023 and July 2026 examines Generative Engine Optimization (GEO), a field focused on increasing content's presence and influence in AI-generated answers. The survey argues that GEO is a complex pipeline, not just a ranking task, and that while some techniques can influence citation or use of already-retrieved content, no reviewed method demonstrates a stable, longitudinal effect on organic discoverability across platforms. Best practices for optimizing content for generative AI engines include writing for humans first, clear organization, addressing user questions directly, building topical authority, and keeping content updated. AI
IMPACT Content optimization for generative AI remains challenging, with current techniques showing limited impact on organic discoverability despite influencing citation of already-retrieved material.
RANK_REASON The cluster is centered around a survey paper analyzing research in Generative Engine Optimization.
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