AI RESEARCH
Diagnosing and Repairing Citation Failures in Generative Engine Optimization
arXiv CS.CL
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ArXi:2603.09296v1 Announce Type: cross Generative Engine Optimization (GEO) aims to improve content visibility in AI-generated responses. However, existing methods measure contribution-how much a document influences a response-rather than citation, the mechanism that actually drives traffic back to creators. Also, these methods apply generic rewriting rules uniformly, failing to diagnose why individual document are not cited. This paper