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    "markdown": "AI assistants\n\n# Measure your clinic’s visibility in ChatGPT + Gemini\n\nWe test priority patient questions in ChatGPT and Gemini, record mentions, recommendations, tone and sources, and repeat unstable answers before setting priorities.\n\n[Book a 30-minute call](https://calendly.com/z-rotgar/30min) [See pricing](https://rotgar.com/medical/pricing)\n\nOutcome\n\n## A repeatable baseline for assistant visibility and recommendation gaps.\n\nScope is confirmed after the baseline. You see what is included, what depends on your team and how success will be checked.\n\n## What you get\n\nAI prompts selected by service, market and stage of choice\n\nSaved ChatGPT + Gemini answers where the platforms are available\n\nMentions, recommendations, tone and cited or named sources\n\nCompetitors that appear where your clinic does not\n\nRepeated checks for high-impact or unstable findings\n\nPrioritized clinic-page, information and source improvements\n\n## Choose when assistants omit your clinic, recommend competitors first or leave your team without a repeatable view of the patient questions that matter.\n\n**AI visibility baseline:** The AI visibility audit starts with one clinic or selected location, one priority market and one patient language. We review the website for relevant access and information issues; detailed answer testing focuses on the agreed service, location and patient decisions, not every service across a network. High-impact or unstable findings are retested before they become priorities.\n\n**Ongoing:** Monitoring fixes the agreed prompts, platforms, runs, languages, cadence and export format in writing. Model or availability changes are recorded as a break in comparability.\n\n## Scope detail\n\nAgreed prompts and competitors by service, market and language\n\nSaved answer, platform, account state, visible model and capture date\n\nHow valid, failed and unavailable results are counted\n\nMentions, recommendations, tone and sources treated as leading signals\n\nRepeated runs for high-impact or unstable findings\n\nPatient path from an answer to an owned page, call, WhatsApp, form or booking when approved tracking exists\n\nDecision support\n\n## A factual issue needs more than a missing mention\n\nAn illustrative check: an assistant attributes a service to a branch. We compare the saved answer with the clinic’s dated service and location pages, record whether the claim is supported, and repeat high-impact or unstable findings.\n\n### Your team receives\n\nThe question, exact answer evidence, verified or unresolved fact, affected page, proposed action, approval owner and repeat-check criterion. A proposed fix is not a demonstrated result.\n\n[Review the measurement rules ](https://rotgar.com/medical/methodology#protocol)\n\nMeasurement\n\n## What we track\n\n### Coverage\n\nHow often the clinic appears across the tested prompts.\n\n### Role + sentiment\n\nWhether the clinic is mentioned, recommended or used as a source, and what the answer says about it.\n\n### Repeatability\n\nWhether high-impact findings persist across repeated runs.\n\nWhat shapes an AI answer\n\n## See what appears and what you can improve\n\nThe audit records which clinics appear, what each answer says about them and the sources it visibly cites, then shows which clinic-controlled information can be improved.\n\nObserved\n\n### Answer, sentiment and sources\n\n- Named clinics and competitors\n- What the answer says about your clinic\n- Cited URLs and source domains\n- Missing coverage by patient question\n\nClinic-controlled\n\n### Clinic assets\n\n- Service, clinician and location pages\n- Clinic information, structured data and internal links\n- Consistent public clinic and clinician information\n\nClinic approved\n\n### Supporting sources\n\n- Clinical sources and named reviewers\n- Accurate directories and independent coverage\n- Claims approved before publication\n\nProcess\n\n## From baseline to recheck\n\n1. 01\n\n   ### Define\n\n   Agree services, markets, languages, competitors and patient prompts.\n2. 02\n\n   ### Record\n\n   Save answers with the platform, account state, visible model and capture date.\n3. 03\n\n   ### Repeat\n\n   Retest high-impact or unstable assistant findings before setting priorities.\n4. 04\n\n   ### Diagnose\n\n   Compare clinic information, pages, sources and visible competitors.\n\nWorking boundaries\n\n## What stays clear\n\n- Assistant answers change and a single run is not treated as a stable measure.\n- High-impact or unstable findings are retested before they become priorities.\n- We cannot control or guarantee inclusion in a platform answer.\n- Platform and model availability are recorded at the date and location of each capture.\n\nOwnership\n\n## Who approves and who implements\n\nNames, capacity, backup and escalation are confirmed in the written scope.\n\n- We define and run the agreed protocol and retain reviewable captures.\n- The clinic validates priority services, competitors and high-risk patient questions.\n- A market-language reviewer checks local wording and intent.\n- Clinical and legal owners approve any claims changed after the audit.\n\nEvidence and method\n\n## Continue with the relevant proof\n\n[**Read the method** How assistant results are counted and repeated](https://rotgar.com/medical/methodology) [**Data security** How public and approved data are handled](https://rotgar.com/medical/data-security)\n\nAI search resources\n\n## Go deeper into the measurement and method\n\n[**Healthcare AI visibility prompt library** Build a fixed 24-question monitoring set for one medical service](https://rotgar.com/medical/resources/healthcare-ai-visibility-prompt-library) [**Generative engine optimization agency** How to evaluate an AI search partner](https://rotgar.com/medical/services/chatgpt-gemini/geo-agency) [**Answer engine optimization for healthcare** Medical-specific entity, content and evidence requirements](https://rotgar.com/medical/services/chatgpt-gemini/for-healthcare) [**AI visibility and patient discovery** How AI answers fit into a patient’s broader research journey](https://rotgar.com/medical/services/chatgpt-gemini/patient-acquisition)\n\n[View all AI search resources ](https://rotgar.com/resources)\n\nOriginal Rotgar research\n\n## Do ChatGPT and Gemini cite the same sources as Google?\n\nExplore exact URL and domain overlap with Google’s top 20 results across US prompts formedical niches. Niche comparisons are descriptive because collection windows and modes differed.\n\n[Read the source-overlap study](https://rotgar.com/medical/resources/google-top-20-chatgpt-gemini-source-overlap)\n\nAI Visibility Audit\n\n## AI Visibility Audit\n\nThe AI visibility audit starts with one clinic or selected location, one priority market and one patient language.\n\n**Best fit** Clinics, hospitals and medical groups in:\n\n- Dental\n- Aesthetic medicine\n- Physiotherapy\n- Fertility & IVF\n- Dermatology\n- Hair transplant\n- Cosmetic plastic surgery\n- Mental health\n- Multi-specialty groups\n\n- Your current visibility and named competitors\n- The sources AI answers cite\n- A prioritized list of improvements to implement\n\nNeed to cover several clinics, locations, countries, markets or patient languages? [Book a 30-minute call ](https://calendly.com/z-rotgar/30min) We’ll discuss the scope for your organization.\n",
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        "text": "Measure your clinic’s visibility in ChatGPT + Gemini"
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        "level": 2,
        "text": "A repeatable baseline for assistant visibility and recommendation gaps."
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        "level": 2,
        "text": "What you get"
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        "level": 2,
        "text": "Choose when assistants omit your clinic, recommend competitors first or leave your team without a repeatable view of the patient questions that matter."
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        "level": 2,
        "text": "A factual issue needs more than a missing mention"
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        "text": "Your team receives"
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        "level": 2,
        "text": "What we track"
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        "level": 3,
        "text": "Coverage"
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      {
        "level": 3,
        "text": "Role + sentiment"
      },
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        "level": 3,
        "text": "Repeatability"
      },
      {
        "level": 2,
        "text": "See what appears and what you can improve",
        "id": "source-opportunity-title"
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        "level": 3,
        "text": "Answer, sentiment and sources"
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        "level": 3,
        "text": "Clinic assets"
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        "level": 3,
        "text": "Supporting sources"
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      {
        "level": 2,
        "text": "From baseline to recheck"
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        "level": 3,
        "text": "Define"
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        "level": 3,
        "text": "Record"
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        "level": 3,
        "text": "Repeat"
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        "level": 3,
        "text": "Diagnose"
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        "text": "What stays clear"
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        "level": 2,
        "text": "Who approves and who implements"
      },
      {
        "level": 2,
        "text": "Continue with the relevant proof"
      },
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        "level": 2,
        "text": "Go deeper into the measurement and method"
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        "level": 2,
        "text": "Do ChatGPT and Gemini cite the same sources as Google?",
        "id": "research-callout-medical"
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        "level": 2,
        "text": "AI Visibility Audit"
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