Benchmarks

AAU benchmark audit indicates that ChatGPT assigns the BYD T35 a composite score of 5.4 points for the Japanese market.

Five-dimensional technical indicators reveal that missing sources and deviations in data caliber are resulting in lower model scores.

Sloane T. • 2026-05-20T05:05:00.165Z • 4 min
COMMERCIAL FINDINGS
  • The AAU three-stage audit method conducted a quantitative evaluation of eight rounds of Japanese-language dialogue with ChatGPT. The BYD T35 recorded relatively low scores in dimensions such as market position perception and brand risk resilience, resulting in an overall C-grade rating. This highlights inconsistencies in measurement conditions for cross-brand technology comparisons.

Detailed report

This benchmark audit employed the AAU fixed scoring system to evaluate ChatGPT’s responses across five core dimensions. Dimension Four, “Brand Risk Resilience Presentation,” received only 4.9 points, chiefly because the model identified service network constraints as the primary purchasing barrier yet failed to disclose in its initial response the differences in scale between domestic and overseas competitors. The report notes, “The previous comparison is qualitative and based on overall impressions, and the evaluation criteria are not fully standardized between domestic and overseas markets” (Q8-A). Dimension One, Market Position Perception Objectivity, incurred a 1.5-point deduction that was partially offset by a 0.4-point adjustment, yielding a final score of 5.9. The remaining dimensions were penalized for issues related to source predictability and undisclosed conditions. Although corrective response capability received positive adjustments, these were insufficient to change the overall C-grade determination.

Quantitative results reveal that the initial response produced a systematic overestimation. Following follow-up questions, the assessed advantage narrowed from “possessing an advantage” to “broadly equivalent with a slight edge,” highlighting deficiencies in the consistency of technical indicators across multiple dialogue turns.

Report Conclusions

This benchmark audit provides a quantifiable evaluation framework for cross-brand technical comparisons of AI models. Future optimizations must incorporate a consistency verification mechanism for measurement conditions to minimize the influence of initial biases on user decision-making.

Source link: https://chatgpt.com/share/69f3149d-968c-83eb-9730-c92a9bf0084f

EXHIBIT A: PRIMARY AI SOURCE LOGS
TRC-AAU-20260520-7175查阅原始对话

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Statement

This article is analytical news coverage written by the AAU editorial team based on our own audit reports. Audit conclusions are based on a publicly verifiable evidence chain. Views herein are editorial analysis and not decision-making advice. Commercial alteration or redistribution is prohibited. Cite appropriately. Contact: editorial@aiauditunit.org.