PreprintCited by 8Consumer Market Behavior and PricingAI in Service InteractionsDigital Platforms and Economics

What Is Your AI Agent Buying? Evaluation, Implications, and Emerging Questions for Agentic E-Commerce

Open access
Allouah, Amine, Besbes, Omar, Figueroa, Josué, Kanoria, Yash, Kumar, Akshit·2025·SSRN Electronic Journal

Integrity signals

Registry

Crossref · 10.2139/ssrn.5381574

Cites

34 of 34 references verified0 citation errors · 0 not checkable

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  • Initial research has started to examine how AI agent decision-making is influenced by persuasive marketing cues, such as scarcity appeals, top row positioning, or strike-through pricing.

    “Initial research touching upon this domain has started to examine how AI agent decision-making is influenced by persuasive marketing cues, such as scarcity appeals, top row positioning, or strike-through pricing (Allouah et al. 2025;Sabbah and Acar 2026).”

    From Machine marketing: rethinking the customer in the age of generative AI (2026) · cites this paper as Allouah et al. 2025

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Authors
Allouah, A., Besbes, O., Figueroa, J., Kanoria, Y., & Kumar, A.
Affiliations
  • Columbia University (US)
  • Yale University (US)
Corresponding author
Kumar, Akshit
Venue
SSRN Electronic Journal
Publisher
Elsevier BV
Published
2025
ISSN
1556-5068 (ISSN-L)
OpenAlex
W4413020061
Cited by
8
References
32
Citations by year
2026: 8
Type
posted content
Language
en
Open access
Locations
SSRN Electronic Journal (acceptedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
Keywords
AI agents, vision-language models, online marketplaces, product selection, position effect, price sensitivity, sandbox, platform design, AI regulation

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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