Frontier AI shopping agents show strong, model-dependent position biases and unstable market shares, and simple seller-side title edits can shift agent selections by tens of percentage points.
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Actionable Counterfactual Explanations Using Bayesian Networks and Path Planning with Applications to Environmental Quality Improvement
Frontier AI shopping agents show strong, model-dependent position biases and unstable market shares, and simple seller-side title edits can shift agent selections by tens of percentage points.