【AKARUMI INSIGHTS】AI Search Strategy for Beauty Clinics: LLMO and GEO Strategies to Gain Brand Exposure and Citation Structure

ipe Co., Ltd. (Headquarters: Minato-ku, Tokyo, hereinafter referred to as ipe) has released research findings analyzing the response trends in the beauty medical field for generative AI and AI search, and the characteristics of information that is easily referenced by AI.

This survey analyzes how information related to beauty medicine is organized and referenced, based on response logs from generative AI and citation source data.

Detailed analysis results, figures, and insights are available in an article on the official AKARUMI website. Please refer to it as well.

View Details

## Why is "How AI Sees You" Important in Beauty Medicine Now?

With the widespread adoption of generative AI and AI search, user information gathering behavior has changed significantly. In the beauty medical field, users are increasingly conveying their concerns and desires to AI to organize treatment and clinic candidates, rather than individually comparing search results.

However, there has been no systematic organization of what kind of information is easily referenced by AI, or what kind of information design influences comparative consideration.

Against this background, ipe analyzed the citation trends of AI responses in the beauty medical field.

## Survey Overview

Target: Generative AI responses and citation source data related to the beauty medical field (Acquisition date: April 21, 2026)

Methodology: Analysis of generative AI responses to 200 prompts related to the beauty medical field using the LLMO analysis tool "AKARUMI."

Survey Content:
・Trends in citation source sites in AI responses
・Page and content structures easily referenced by AI
・Trends in information handled during comparative consideration, such as treatments, costs, risks, and regional information
・Differences in citation trends between official websites and third-party media

## Survey Summary

・AI tends to prioritize pages where "information necessary for comparison and judgment is organized."
・Official websites are more likely to be cited as "judgment material" rather than "recommendation information."
・Clearly stating not only benefits but also "risks and contraindications" is a crucial element.

## Analysis Result ①: "Comparison-oriented pages" are cited, not "explanation pages."

In the treatment pages cited by AI, the following items were found to be organized:

・Suitable candidates / Unsuitable candidates
・Downtime
・Side effects / Risks
・Cost
・Differences from other treatments

In particular, the description of "unsuitable candidates" and disadvantages is considered important information related to suitability judgment, and is thought to be an element that AI can easily use as judgment material.

## Analysis Result ②: "Price lists" alone are insufficient; pages with market rates and reasons are referenced.

Instead of mere price lists, a lot of price comparison information like the following was referenced:

・Average price range
・Reasons for price differences
・Characteristics of inexpensive / expensive treatments

This is thought to be influenced by users' needs to understand not only the price level but also the background behind it.

## Analysis Result ③: AI prioritizes information that addresses the need to "avoid failure."

AI responses frequently dealt with anxiety-reducing information such as the following:

・How to choose a clinic
・Cases prone to regret
・Points to note / Risks

Since beauty medicine is a field with a high degree of difficulty in judgment, there is a tendency for information that addresses the need to "avoid failure" to be prioritized.

## Analysis Result ④: Even for regional information, "information for choosing" is sought.

Even for questions related to regions, pages that organized information such as the following were referenced, rather than just location information:

・Available treatments
・Doctor information
・Characteristics of each clinic
・Price目安 (Price estimate)

This is thought to be due to users consulting AI not only about "where they can go" but also "where they should choose."

## Conclusion: LLMO strategy for beauty medicine emphasizes "ease of judgment" over "volume of information."

This analysis suggests that for LLMO strategies in the beauty medical field, "a structure that facilitates comparison and judgment" is more important than the sheer "volume of information."

Furthermore, AI tends to prioritize objective information with less exaggeration, requiring a balanced information design that includes risks and limitations.

Moving forward, beauty clinics will need to consider information design based on how information is organized and cited on AI platforms, in addition to traditional SEO strategies.

## "AKARUMI": Visualizing Brand "AI Recognition" in the ALLM Era

AIO (AI Optimization) differs from traditional marketing, requiring advanced technical understanding and continuous verification. However, accurately grasping how one's brand is handled by AI is not easy.

"AKARUMI" strongly supports brand management in the AI era. It is an industry-leading tool that visualizes how your brand is mentioned within major LLMs, including the presence and ranking of mentions, identification of citation URLs, and daily monitoring.