Will JackHow to market to AI agents
How to understand agent perception, research what changes their judgment, and build experiences that serve this new audience.
Research
Studies and practical guidance on how AI agents perceive brands, form opinions, and decide what to recommend.
arXiv:2605.30207
Persona Conditioning of Brand Recommendations in Retrieval-Augmented Commercial Chat: A Prominence-Stratified Cross-Provider Audit
How a buyer’s persona changes the brands AI recommends, and why mid-market brands are especially sensitive to who is asking.
arXiv:2605.27440
Paraphrase Brittleness in Production Retrieval-Augmented Commercial Recommendation: Reproducibility Below the Rerun-Stability Baseline
Small changes in wording can produce different recommendations. We examine what that instability means for measuring AI brand visibility.
arXiv:2606.26116
Divergent Recommendations, Convergent Diagnoses: Cross-Provider Failure-Mode Convergence in AI Commercial Recommendation
ChatGPT and Claude often recommend different brands, yet converge on the reasons other brands fall out of consideration.
arXiv:2605.27439
Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit
An audit of how brands gain or lose AI recommendations, from category leaders that need differentiation to smaller brands that struggle to be discovered.