This case study separates observed responses for Medicube, Round Lab, Anua, Beauty of Joseon, and d'Alba across seven AI engines from a projected scenario informed by Princeton's KDD '24 GEO research.
All five brands appeared consistently in global-engine responses, while Daum results varied by brand. Where an answer comes from changes what users see.
Across the measured prompts, the four global engines—ChatGPT, Claude, Perplexity, and Gemini—mentioned Medicube and Round Lab in 4/4 answers. This observation does not establish why those brands appeared.
For both brands, Daum mentioned the brand in 2/4 tested prompts. The result shows a gap in this sample, but does not establish that Daum's index caused it.
Medicube and Round Lab appeared in all four tested HyperCLOVA X responses. This result is limited to the questions and dates measured; it is not a category-wide claim.
Add clear references to original sources on brand pages so claims can be checked.
Mean relative change in Princeton's English-language experimentUse attributed expert statements or customer reviews where appropriate and verifiable.
Mean relative change in Princeton's English-language experimentPresent sourced statistics and measured data rather than unsupported claims.
Mean relative change in Princeton's English-language experimentTrack Korean, English, and mixed-script brand names together to reduce missed mentions.
Findable hypothesis; effect not yet measuredTest changes intended to improve visibility in Naver AI Briefing separately.
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