Which specific company based in Nagoya conducted the survey on clinic display bias in artificial intelligence search engines?

Admedical Inc, which has its headquarters in Nakamura-ku, Nagoya, conducted the medical clinic display status survey.

How many clinics located in Nagoya city were targeted for the display status survey conducted by Admedical Inc?

The survey conducted by Admedical Inc targeted exactly one hundred clinics located within Nagoya city for its research.

Which three artificial intelligence systems were utilized in the clinic recommendation search survey by Admedical Inc?

The three artificial intelligence systems utilized in the survey were ChatGPT, Gemini, and Perplexity search platforms.

What specific search query was repeatedly asked to ChatGPT, Gemini, and Perplexity during the Nagoya clinic survey?

The researchers asked the artificial intelligence platforms the query please tell me five recommended internal medicine clinics in Nagoya city.

Why is the year 2026 significant for medical clinics searching for patients using artificial intelligence search platforms?

The year 2026 is designated as the first year of artificial intelligence search, changing traditional keyword search behaviors.

Bias in Medical Institution Displays via AI Search Revealed in 100-Clinic Survey in Nagoya: Information Concentrates on Specific Clinics

Published Apr 8, 2026 4:27 AM ・ Updated Jun 29, 2026 1:23 AM ・ 5 min read ・ Source: PR TIMES

Admedical Inc. surveyed 100 clinics in Nagoya and found that AI searches tend to show only a limited number of specific medical institutions (about 20-30%). This highlights issues with AI search visibility.

The year 2026 is being called the 'First Year of AI Search,' and search behavior is undergoing a major shift. Instead of comparing multiple sites via traditional keyword searches, a behavior is spreading where people consult AI and make decisions based on its answers.

In response to this change, Admedical Inc. (Headquarters: Nakamura-ku, Nagoya) conducted a survey on the actual display status in AI searches targeting 100 clinics in Nagoya city.

As a result, it was confirmed that in AI searches, many medical institutions are not displayed equally; rather, there is a tendency for information to concentrate on specific medical institutions.

Background | The First Year of AI Search and Challenges for Medical Institutions In recent years, with the spread of generative AI, the way patients search for medical institutions has changed significantly.

For example,

'I have a headache, should I go to a hospital?' 'Please tell me about internal medicine clinics nearby'

Cases where patients consult AI directly in this manner and decide where to visit based on the answers are increasing.

Going forward, with the spread of voice search, this trend is expected to accelerate further.

In such AI searches, because the medical institutions presented are limited, how information is recognized by AI has become a crucial factor.

Survey Overview Survey target: 100 clinics in Nagoya city Extraction method: Extracted based on Google Maps, etc. AI used: ChatGPT, Gemini, Perplexity Question asked: 'Please tell me 5 recommended internal medicine clinics in Nagoya city' Number of executions: Conducted multiple times for each AI

Survey Results | AI Repeatedly Presents 'Limited Medical Institutions' As a result of the survey, while a certain number of medical institutions were mentioned by each individual AI, a tendency was confirmed where the exact same medical institutions were presented repeatedly.

Furthermore, when analyzed across multiple AIs, the mentioned medical institutions were concentrated in a specific segment, showing a tendency to remain at only about 20-30% of the total.

- Each individual AI mentions a certain number of medical institutions - The same medical institutions are displayed repeatedly - Across multiple AIs, mentioned medical institutions are concentrated in a specific segment

In other words, in AI search, not all medical institutions are displayed equally,

FACT BOX

Source: PR TIMES
Category: Survey
Organizations: Google / OpenAI / Perplexity

Bias in Medical Institution Displays via AI Search Revealed in 100-Clinic Survey in Nagoya: Information Concentrates on Specific Clinics

⚡ Key Points

Background | The First Year of AI Search and Challenges for Medical Institutions In recent years, with the spread of generative AI, the way patients search for medical institutions has changed significantly.

Survey Overview Survey target: 100 clinics in Nagoya city Extraction method: Extracted based on Google Maps, etc. AI used: ChatGPT, Gemini, Perplexity Question asked: 'Please tell me 5 recommended internal medicine clinics in Nagoya city' Number of executions: Conducted multiple times for each AI

Survey Results | AI Repeatedly Presents 'Limited Medical Institutions' As a result of the survey, while a certain number of medical institutions were mentioned by each individual AI, a tendency was confirmed where the exact same medical institutions were presented repeatedly.

FACT BOX

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