---
id: "question-optimizing-conflicting-biases"
type: "open-question"
source_timestamps: ["§ The Emerging Field of Bot Psychology"]
tags: ["optimization", "e-commerce", "ai-behavior"]
related: ["concept-position-effects"]
resolutionPath: "Requires further research into dynamic page rendering based on user-agent detection of specific bots, or the development of standardized, non-spatial data feeds that bypass visual layout biases entirely."
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-ext-13-ai-upending-marketing"
sourceUrl: "https://hbr.org/2026/02/ai-is-upending-marketing-on-two-fronts"
sourceTitle: "AI Is Upending Marketing on Two Fronts"
---
# How can retailers optimize for conflicting AI position biases?

**Open question.** If different AI models have wildly different spatial preferences (GPT favors the first position, Claude the middle, Gemini the right — see [[concept-position-effects]]), how can a retailer optimize a **single** e-commerce page layout to appeal to all machine customers simultaneously?

**Resolution path:** Requires further research into (a) **dynamic page rendering** based on user-agent detection of specific bots, or (b) the development of **standardized, non-spatial data feeds** that bypass visual layout biases entirely.

**Enrichment steer:** Domain experts favor the non-spatial-feed route plus continuous testing, since model-specific position biases may be prompt-, UI-, and version-dependent and could disappear as models evolve.