AI search visibility research reveals gaps in brand recognition

Recent studies in Japan highlight the complexities of how generative AI platforms cite information and recognize brands. An analysis by Wanokuni regarding the “AI Search Cited Award 2026” examined citations across platforms including ChatGPT, Gemini, and Google AI Overviews. The study found that comparison and recommendation articles accounted for 32.7% of all citations. While specific queries regarding pricing or features tended to trigger citations from official corporate service pages, broader queries about options often led AI to reference comparison sites.

Complementing this, a case study by Swing Crew investigated brand visibility within AI models like ChatGPT, Perplexity, and Claude. The research revealed a stark divide in how companies are surfaced: while AI models successfully identified the company 100% of the time when the specific company name was included in the prompt, they failed to mention the company in any of the 96 test cases where the company name was omitted. This suggests that being “recognized” by an AI is distinct from being recommended as a solution when users search for services based on needs or problems rather than specific brand names.