Unverified50% confidenceFactExact time
Generative Engine Optimization (GEO) is a new field that gradually took shape after 2023, specifically studying how to get content cited by LLM-driven answer engines
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedGenerative Engine Optimization (GEO) was formally proposed around 2023 by researchers from Princeton University and other institutions.78% similarUnverifiedGEO（Generative Engine Optimization，生成式引擎优化）是2024年后兴起的新概念，专门针对ChatGPT、Perplexity、Claude等AI搜索引擎的内容优化策略74% similarVerifiedGEO (Generative Engine Optimization) is a new concept that emerged in 2024 and was first systematically articulated in research papers by institutions including Georgia Tech.74% similarUnverified上下文工程是2024年以来业界对提示词工程的重要升级概念，由Anthropic等机构率先提出69% similarUnverified2023年底乔治亚理工学院、IIT德里和普林斯顿大学的研究团队联合发表了题为GEO: Generative Engine Optimization的论文68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1044776API
curl https://kongchang.com/api/v1/knowledge/claims/1044776MCP
get_claim(id=1044776)