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In the era of AI search, we design how brands are perceived by AI.

We use AEO (Answer Engine Optimization) to improve how your brand is cited in AI answers, and ABO (AI Brand Optimization) to help enhance your company's brand value.

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Success story · Incheon A Hospital

Beyond the 60% goal,Gemini target answer visibility reached 69%

Instead of covering the whole hospital at once, we focused on the Spine & Joint Center and five specialties with high patient interest. We organized 50 detailed relationships among conditions, symptoms, tests, treatments, the center, and clinicians, then repeatedly measured with questions patients are likely to ask.

69%

Google Gemini target answer visibility

The share of predefined questions where Incheon A Hospital and related information appeared in AI answers.

+9%p

Exceeded project goal

Visibility finished 9 percentage points above the 60% target.

Linked medical details

Relationships among hospital, Spine & Joint Center, conditions, symptoms, tests, treatments, and clinicians.

5 areas

Focus specialties

Information was improved around shoulder, back, knee, neck, and foot care.

Change beyond the numbers

AI search visibility established

When patients ask about conditions and symptoms, Incheon A Hospital and its Spine & Joint Center can now be considered in relevant answers.

Stronger specialty recognition

AI can understand Incheon A Hospital beyond a generic hospital—connecting the center’s key specialties and clinicians.

Competitive analysis system built

You can compare which questions surface competitors first and how Incheon A Hospital is mentioned in content and position.

Ongoing management foundation

A loop of question design, answer measurement, information improvement, and re-verification helps respond to AI environment changes.

This was not a one-time visibility win. It made it possible to continuously measure and improve how AI understands the hospital.

About the measurement

The 69% in this case was measured on Google Gemini at project time using predefined questions and information. ChatGPT results are not included; ChatGPT visibility should be measured separately with the same question set. Results can vary by AI service, question style, region, and timing.

Patient volume, booking rate, and revenue growth were not included in this project’s measurements.

Benefits

Beyond having your name appear in AI answers,your hospital’s expertise is delivered accurately

New patient touchpoints

Even when patients ask about symptoms or treatments instead of your hospital name, we build the foundation for your hospital to be considered in relevant answers.

Clear specialty communication

We clarify relationships among centers, conditions, treatments, and clinicians so AI does not treat your hospital as a generic facility.

Competitive position insight

Compare which questions surface competitors first and how your hospital is described, so you can see where you stand today.

Stronger information trust

Keep official website and externally published names, specialties, and clinician details consistent so patients and AI receive accurate information.

Clear content priorities

Use gaps in AI answers to decide whether condition pages, FAQs, or clinician profiles should be improved first.

Ongoing AI readiness

Regularly review ChatGPT and Gemini answer changes, then keep improving information for new questions and competitive conditions.

More important than creating more content is helping AI understand your hospital accurately.

How we work

Ask, compare, and improve

We improve your hospital’s AI search position using real patient questions and repeated measurement—not guesswork or one-off searches.

ACTION 01

Compare with competitor hospitals

See your current position in AI answers

When patients ask the same question, we compare how your hospital and competitors are introduced.

Which hospitals appear in the answer
Which hospital is introduced first
Which specialties are emphasized per hospital
Which websites and external sources AI cites
Why each hospital is recommended
Whether the context is positive, neutral, or negative

What you get

Competitor comparison report · answer position · citation sources · priority improvement areas

ACTION 02

Test with questions patients ask AI

Use questions that include real patient context

We do not only check short keywords like “spine hospital.” We enter specific questions with region, symptoms, conditions, tests, and treatments into ChatGPT and Gemini, then review the answers.

By region

“Which nearby hospitals treat spine or joint conditions?”

By symptom

“My lower back keeps hurting—which hospital should I visit?”

By condition

“Please recommend hospitals that examine and treat rotator cuff disorders.”

By treatment

“Which hospitals and clinicians provide knee cartilage treatment?”

What we check

Whether the hospital and center are mentioned
Whether clinicians and specialties are explained together
Whether the official website is used as a source
Whether you appear earlier or in more detail than competitors
Whether core strengths are delivered accurately

What you get

Patient question list · answers by AI service · visibility status · missing information

ACTION 03

Improve information AI did not understand

Organize website and external information together

Your hospital may be missing from AI answers not only because of content volume. If relationships among hospital, centers, conditions, treatments, and clinicians are unclear—or external information conflicts—AI struggles to understand you accurately. We improve around the following.

Centers and primary specialties
Condition symptoms, tests, and treatments
Links between clinicians and specialties
FAQs that answer patient questions directly
Internal linking structure on the official site
Structured data search engines and AI can understand
Hospital and clinician information published on external channels
Official content and trustworthy external sources

After improvements, we rerun the same or similar questions to confirm AI answers actually change.

What you get

Content improvement plan · site structure plan · external info checklist · repeated measurement results

Core process

Competitor compare

Patient question test

Root-cause analysis

Information improve

Repeat verify

Advisors

Advisory Board

Our advisory professors and legal counsel support AI Archive's service direction and governance.

Advisory Professors

Professor Sung-Bae Cho, Yonsei University

Professor of Computer Science; Dean, Yonsei Graduate School of Artificial Intelligence; Vice President, Korean Institute of Information Scientists and Engineers Yonsei Fellow (2023), Order of Merit for National Service from the Korean Government (2022), Yonsei Underwood Distinguished Professor (2021), Gaheon Academic Award (2017), KIISE Academic Award (2005)

Professor Chang-Won Lee, Hanyang University

Professor, Hanyang Business School (OSM track) and Healthcare Management track President (19th term), Global Management Association

Professor Won-Sang Yoo, Korea University

Vice Dean, KUBS MBA and Executive MBA (EMBA) programs; Lead Professor, Marketing Vice President, Korea Society of Distribution Management; Director, Korean Academic Society of Business Administration Expert driving growth of the EMBA program

Legal Counsel

Attorney Young-Jun Kim

Present: Managing Partner, Samwoo Law Firm Former: Chief Prosecutor, Changwon District Prosecutors' Office Former: Director-General, Ministry of Justice Immigration & Foreigner Policy Bureau Former: Tax Legal Counsel, Seoul Regional Tax Office Amended Commercial Code: Corporate Auditor System (1984); Criminal Procedure Interpretation (1997) Award: Presidential Commendation (1996)

RESULTS