Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement 事件

Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement arXiv:2603.08924v2 Announce Type: replace-cross Abstract: AI-powered answer engines are inherently non-deterministic: identical queries submitted at different times can produce different responses and cite different sources. Despite this stochastic behavior, current approaches to measuring domain visibility in generative search typically rely on single-run point estimates of citation share and pr