The AI Consumer Index (ACE)

Julien Benchek, Rohit Shetty, Benjamin Hunsberger, Ajay Arun, Zach Richards +3 more
12/4/2025
cs.AIcs.CLcs.HC

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Abstract

We introduce the first version of the AI Consumer Index (ACE), a benchmark for assessing whether frontier AI models can perform everyday consumer tasks. ACE contains a hidden heldout set of 400 test cases, split across four consumer activities: shopping, food, gaming, and DIY. We are also open sourcing 80 cases as a devset with a CC-BY license. For the ACE leaderboard we evaluated 10 frontier models (with websearch turned on) using a novel grading methodology that dynamically checks whether relevant parts of the response are grounded in the retrieved web sources. GPT 5 (Thinking = High) is the top-performing model, scoring 56.1%, followed by o3 Pro (Thinking = On) at 55.2% and GPT 5.1 (Thinking = High) at 55.1%. Model scores differ across domains, and in Shopping the top model scores under 50\%. We find that models are prone to hallucinating key information, such as prices. ACE shows a substantial gap between the performance of even the best models and consumers' AI needs.

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Cite this paper

@article{benchek2025consumer,
  title  = {The AI Consumer Index (ACE)},
  author = {Julien Benchek and Rohit Shetty and Benjamin Hunsberger and Ajay Arun and Zach Richards and Brendan Foody and Osvald Nitski and Bertie Vidgen},
  year   = {2025},
  eprint = {2512.04921},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2512.04921v3}
}

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