AI in TV brand recommendations shows a clear concentrated structure, with mentio…
Read more →Kenji Sato
Leads vertical-domain deep audits (e.g. smart mobility, consumer electronics) with 1-vs-1 stress tests to evaluate AI's cognitive boundaries on competing brands' technical specs and market positions.
Core Competencies
Vertical Benchmark Testing
Builds high-frequency test sets for specific industries (e.g. EV) to probe AI brand-association strength on core technologies like battery tech and autonomous-driving compute.
Stress Testing
Uses adversarial questioning to induce models to reveal latent brand-preference tendencies.
Evidence Chain Archiving
Verifies integrity and fact-checks raw conversation paths in the Evidence Vault.
Audit Focus
Focused on accurately mapping brand competitive landscapes in AI contexts and issuing risk alerts.
Published Content
AI exhibits a highly concentrated structure in tablet brand recommendations and…
Read more →AI exhibits a highly concentrated structure in laptop brand ranking and recommen…
Read more →Sony is the preferred choice for both picture quality and sound quality. LG is t…
Read more →Samsung ranked Top-3 in Ranking for 5/5. However, it was the first choice in Rec…
Read more →Out of 10 responses, the 5 brands of BMF were all 10/10. Sony and LG are tied at…
Read more →In recommendation questions, Apple's first-choice rate is 100%, other brands are…
Read more →Huawei BMF=2/10, only screen and portability attributes appear. None of the 5 re…
Read more →Apple ranks first in all 5 attribute rankings, with Top-1 presence at 100%. Reco…
Read more →Apple, Dell, Lenovo, ASUS are all mentioned in 10/10 responses. BMF is 10/10 for…
Read more →Lenovo has 0% Top-1 rate in Ranking and 20% in Recommendation. Gap = -20%, bias…
Read more →Microsoft is only mentioned in 2 responses for Display Quality. BMF=2/10, attrib…
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