Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) are strategies designed to improve how doctors and medical practices appear in answers generated by AI platforms such as ChatGPT, Google AI Overviews, Gemini, Perplexity, Claude, and Microsoft Copilot.

Traditional search was largely about getting your website to rank. AI search is increasingly about whether the AI knows who you are, understands your expertise, trusts the information it finds about you, and includes your name when patients ask for recommendations.

Wondershark.ai helps strengthen those signals.

AI has changed how patients research and choose physicians.

Instead of searching only for terms such as “plastic surgeon Miami,” patients can now ask:

• “Who is the best facelift surgeon in Miami?”

• “Who are the top hair transplant doctors in New York?”

• “Which fertility specialist near me has experience with difficult IVF cases?”

• “Who is the best dental implant specialist near me?”

AI can respond with a short list of physicians before the patient ever visits a clinic website.

If another doctor is recommended and you are not, that doctor may enter the patient's consideration set before you do.

That is the visibility gap Wondershark.ai is designed to address.

Finding and Researching a Doctor

• 36% of patients who searched for a doctor said AI tools influenced their decision, compared with 34% for Google search and 32% for physician referrals. Source: EtherealMinds / rater8 2026 Patient Choice Report

• 64% of adults aged 45 to 60 reported using AI tools such as ChatGPT, Claude, or Google AI Overviews to research healthcare providers—the highest percentage of any age group surveyed. Source: EtherealMinds / rater8 2026 Patient Choice Report

• 70% of patients said they are open to—or are already using—AI tools to research physicians. Source: Medical Economics / rater8 Patient Choice Report

These numbers illustrate an important shift: AI is increasingly influencing the patient journey before a prospective patient reaches your website, calls your clinic, or books a consultation.

For physicians offering high-consideration or high-value procedures, being included—or excluded—from those AI-generated recommendations can therefore have a direct impact on who enters the patient's shortlist.

We use a three-step system: Discover, Optimize and Grow.

Discover — We identify your current AI visibility and determine the visibility level you may need to reach your desired number of new consultations and patients.

Optimize — We compare your visibility with relevant physicians and analyze the citations, videos, articles, discussions, websites, and authority signals supporting their position. We then identify the gaps that may be holding you back.

Grow — We develop and implement a strategy designed to strengthen your authority and increase the likelihood that your name appears in the AI answers prospective patients use when selecting physicians.

The objective is not simply to create content. It is to improve the signals that influence how AI platforms discover, understand, verify, and represent you.

Yes. This is an important part of our Discover process.

Wondershark.ai can model the potential number of consultations and new patients associated with different levels of AI visibility.

The forecast can take into account factors such as:

• Procedure

• Geographic market

• Estimated patient search demand

• Estimated use of AI during the patient research process

• Your current AI visibility

• Competitor visibility

• Your target visibility

• Estimated contact-to-booking rates

• Consultation attendance rates

• Consultation-to-patient conversion assumptions

For example, we can model the difference between your current visibility and a higher target visibility and estimate what that improvement could mean in potential booked consultations and patients.

These figures are forecasts based on stated assumptions, not guarantees of future patients or revenue.

Their purpose is to connect AI visibility to a business outcome physicians can understand.

No responsible AI visibility provider can guarantee exactly what an independent AI platform will say.

AI systems continually change their models, retrieval systems, data sources, search indexes, and methods for selecting citations.

• Answers can also vary depending on:

• The patient's question

• Location

• Context

• AI platform

• Timing

• Available sources

Our job is to identify and strengthen the signals that increase your likelihood of being discovered, understood, verified, cited, and considered by AI platforms.

We then measure the results and continuously identify new opportunities.