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Framework for Measuring Generative Engine Optimization in AI Search
This paper introduces a two-stage measurement framework for Generative Engine Optimization (GEO) in AI search platforms, focusing on citation selection and citation absorption. It distinguishes between discovering sources and integrating their content into generated answers.
Understanding how generative search engines select and absorb citations helps improve the accuracy and reliability of AI-generated information. This framework provides a structured approach to evaluate and optimize AI search platforms.
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Score 60
Source Type arxiv
Reposts 0
Topic Quality 53
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