When patients face a health concern, their first instinct is no longer to call a neighbour or check a hospital directory. They go straight to Google, ChatGPT, Gemini, or Microsoft Copilot.
They type:
- “What are the early signs of migraine?”
- “Best IVF clinic in Panchkula”
- “IVF success rate near me”
And in seconds, AI platforms provide answers, sometimes listing doctors or clinics by name. This is where healthcare visibility has shifted. If you are not discoverable inside these AI systems, you are invisible to a large portion of patients.
To test how reliable and actionable these AI responses are, we conducted an experiment. We asked 20 healthcare questions across ChatGPT, Gemini, and Copilot. Below, we share highlights from two representative questions with real screenshots and analysis.
The Experiment Setup
Why 20 Questions?
We wanted a broad sample covering:
- Neurology: migraines, epilepsy, stroke recovery, back pain
- Fertility & IVF: IVF cost, myths, success rates, emotional impact
- General Healthcare: fevers, nutrition, prevention tips
- Local Queries: “Best neurologist in Panchkula,” “Best IVF near me”
Platforms Tested
- ChatGPT (GPT-4o) → conversational and increasingly integrated with search engines
- Gemini (Google’s AI) → deeply tied to Maps and Google Business Profiles
- Microsoft Copilot (Bing AI) → combines AI answers with actionable map and directory data
Question 1: What Are the Early Signs of Migraine?
AI Responses
- Gemini (Google AI):
- Explained phases: prodrome and aura
- Listed mood changes, yawning, food cravings, neck stiffness, difficulty concentrating
- Presented in a clinical, structured format
- ChatGPT:
- Listed mood changes, fatigue, yawning, sensory changes, food cravings
- More conversational
- Added a clear disclaimer about consulting doctors
- Copilot (Microsoft Bing):
- Used bullet points and emoji headers (e.g. 🧠 “Common Early Signs”)
- Included mood changes, fatigue, food cravings, loss of appetite
- Prioritized readability and quick scanning
Visual Proof
Key Insights
- All three platforms gave accurate, medically consistent answers.
- Gemini leaned clinical, citing phases.
- ChatGPT balanced accuracy with conversational tone.
- Copilot focused on patient readability, making it the easiest to digest.
Takeaway: AI platforms are reliable for general health awareness, but style differs, clinical vs conversational vs consumer-friendly.
Question 2: Best IVF Clinic in Panchkula
AI Responses
- Gemini (Google AI):
- Listed Gulmohar IVF & Fertility Centre and Dr. Renu Lamba by name
- Highlighted reviews and JustDial ratings
- Positioned Gulmohar IVF as personalized and non-corporate
- ChatGPT:
- Gave a list of multiple clinics including Gulmohar IVF and Cloudnine
- Added details: ratings, doctor qualifications, locations
- Functioned like a mini-comparison guide
- Copilot (Microsoft Bing):
- Displayed the Google Maps “Local Pack” with Gulmohar IVF, Cloudnine, Dr. Deepika’s Maternity & Fertility Centre
- Included phone numbers, star ratings, “directions” buttons
- Action-oriented for immediate patient decisions
Visual Proof
Key Insights
- Gemini emphasizes reviews and doctor profiles → blends AI and directory signals.
- ChatGPT educates and compares clinics in detail.
- Copilot pushes patients straight into call or visit mode.
Takeaway: Visibility inside these platforms depends on structured data (schema), local SEO (Google Business Profile), and content signals (LLM SEO).
Overall Findings From 20 Questions
After testing a wide set of questions, here’s the summary:
Accuracy
- ~70% of answers → accurate and helpful
- ~20% → partially correct, lacking local context
- ~10% → vague or outdated
Local Doctor Visibility
- Doctors with schema + LLM.txt + optimized profiles appeared by name (like Dr. Anurag for neurology, Gulmohar IVF for fertility)
- Clinics without these signals were absent, even if skilled
Strengths by Platform
- ChatGPT: Conversational, good for awareness, mentions local doctors if structured correctly
- Gemini: Strong local integration, tied to Maps and reviews
- Copilot: Action-driven, best for quick decisions (call, map, website)
Weaknesses
- ChatGPT: Sometimes too global (e.g., IVF cost = US average)
- Gemini: Biased toward large corporate hospitals unless smaller clinics had strong SEO signals
- Copilot: Limited context; prioritizes transactional actions over education
Lessons for Doctors and Clinics
- Patients trust AI results – being cited by ChatGPT or Gemini is like a digital endorsement.
- LLM SEO matters – schema, LLM.txt, and content clusters make you AI-visible.
- Local SEO still critical – Google Business Profile + reviews feed Gemini and Copilot.
- E-E-A-T builds authority – bios, credentials, and trusted backlinks increase citation chances.
- Small clinics can compete – structured visibility levels the playing field against hospital chains.
Conclusion: The Future of AI in Healthcare SearchAI is not replacing doctors. But it is replacing how patients find doctors. Our experiment showed:
- ChatGPT educates and builds trust.
- Gemini blends AI summaries with local directory strength.
- Copilot drives immediate action with maps and calls.
If you want patients to choose you, you must be present across all three. That requires LLM SEO + Local SEO, not just traditional rankings.
Patients search for the best, but they choose the most visible.
Free Resource: Download the Full Report
We’ve compiled the complete dataset of 20 questions, screenshots, and visibility comparisons into a detailed report.
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Inside you’ll find:
- The full list of tested questions
- Screenshots of AI responses for neurology, fertility, and general healthcare
- A checklist for doctors and clinics to improve AI visibility
At RankVed, we help healthcare professionals go from invisible → visible → chosen.
