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  "h1": "Discuss your scope. Ongoing work from USD 1,000/month.",
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    "markdown": "Pricing\n\n# Discuss your scope. Ongoing work from USD 1,000/month.\n\nStart with a 30-minute call to discuss your clinic, market and AI visibility priorities. Implementation, measurement and continued improvement run as a monthly retainer.\n\nStart with a conversation\n\n## 30-minute call\n\nDiscuss your clinic, locations, priority services, market and patient language. We use that context to define an AI visibility audit and the appropriate next steps.\n\nThe AI visibility audit starts with one clinic or selected location, one priority market and one patient language. The public-data baseline does not require account access. Scope and any subsequent work are agreed separately.\n\n- Clinic-page accessibility, entity information and content review for AI discovery\n- Dated AI-answer baseline with separate platform and market context\n- Google AI Overviews, ChatGPT and Gemini checks selected for your clinic, services, patients and market\n- Existing strengths, competitors, cited sources and visibility gaps\n- Prioritized improvements based on the findings\n\n[Book a 30-minute call](https://calendly.com/z-rotgar/30min)\n\nImplementation retainer\n\n## From USD 1,000 / month\n\nOngoing work turns the audit priorities into implemented changes, measures progress and expands what works.\n\n- Technical access and indexability fixes supporting AI discovery\n- Service, clinician, treatment and location-page optimization\n- Content and source improvements under clinic medical-claim review\n- Google AI Overviews, ChatGPT and Gemini measurement\n- Independent-source visibility and internal linking\n- Implementation support, quality checks and monthly planning\n\n[See example 12-month plan](https://rotgar.com/medical/pricing#retainer-example)\n\n## What sets the retainer scope\n\nThe audit defines the starting priorities. The monthly scope then reflects the size and complexity of implementation.\n\n- Number of locations, services and clinicians\n- Countries, cities and patient languages\n- Approved aggregate website data and implementation access\n- Advisory support, implementation or multi-location rollout\n- Reporting, stakeholder and security requirements\n\nExample 12-month program\n\n## From baseline to continuous improvement\n\nThis is an example composition of work, not a fixed package. The audit determines the priorities, sequence and volume for each clinic.\n\nMonths 1–3\n\n### Baseline and first implementation\n\n1. **Month 1**\n\n   AI-answer and cited-source baseline; priority patient questions, clinic information and measurement setup.\n2. **Month 2**\n\n   First page, content, source and internal-link improvements, with implementation support and QA.\n3. **Month 3**\n\n   Structured data, semantic coverage, metadata, AI-source analysis and the next technical cycle.\n\nMonths 4–6\n\n### Build, measure and review\n\n1. **Month 4**\n\n   Medical content improvements, clinician-service-location connections, sources and technical fixes.\n2. **Month 5**\n\n   A broader content, structure, AI visibility optimization cycle based on measured gaps.\n3. **Month 6**\n\n   Six-month results review, strategy update and priorities for the next implementation phase.\n\nMonths 7–9\n\n### Strengthen trust and expand\n\n1. **Month 7**\n\n   Licences, authorship, clinic information, review claims, citations and AI-source checks.\n2. **Month 8**\n\n   Expand high-value pages, semantic clusters, internal links and independent-source coverage.\n3. **Month 9**\n\n   Repeat the full optimization cycle and reset priorities from AI visibility performance.\n\nMonths 10–12\n\n### Consolidate and plan forward\n\n1. **Month 10**\n\n   Content freshness, technical issues, internal links, sources and visibility monitoring.\n2. **Month 11**\n\n   Final broad optimization cycle across content, structure, AI answers and cited-source visibility.\n3. **Month 12**\n\n   Annual results review, implementation QA and the next 6–12 month roadmap.\n\n**Every month:** project management, progress review, AI visibility visibility checks, implementation support and quality control.\n\nBefore a proposal\n\n## Inspect the method and working boundaries\n\n[Measurement methodology](https://rotgar.com/medical/methodology) [Data security](https://rotgar.com/medical/data-security) [Website and contracting boundary](https://rotgar.com/terms)\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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