MedicalClinic Schema for Indian Clinics: 2026 Code + AIO Wins
Copy-paste MedicalClinic, Physician and FAQPage JSON-LD for Indian clinics — plus the 7 validator errors that block AI Overview citations. See what works in 2026.
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Copy-paste MedicalClinic, Physician and FAQPage JSON-LD for Indian clinics — plus the 7 validator errors that block AI Overview citations. See what works in 2026.
TL;DR
What is MedicalClinic schema and why does it matter?
MedicalClinic schema is a structured data vocabulary from schema.org that tells search engines and AI engines: "This page represents a medical clinic." Without it, Google must infer from your content that you are a healthcare facility — an inference it may get wrong, incomplete, or slow.
With MedicalClinic schema, you explicitly declare: your facility name, its physical location, its telephone number, its medical specialties, its opening hours, its available services, and the medical staff who practice there. This structured declaration enables: Knowledge Panel appearance in Google Search, entity recognition in AI engines (ChatGPT, Perplexity, Gemini), rich results in healthcare SERP features, and Local Pack visibility for "near me" queries.
For Indian healthcare websites, MedicalClinic schema is the single highest-ROI technical SEO investment available — typically requiring 30-60 minutes of developer time per clinic page and producing permanent improvements in Knowledge Panel accuracy, AI citation, and local search visibility.
Why healthcare needs more than basic LocalBusiness schema
Many healthcare websites implement LocalBusiness schema — which is the generic business schema — and leave it at that. LocalBusiness tells Google you are a business with an address and a phone number. It does not tell Google you are a healthcare facility, what specialties you offer, or which procedures you perform.
MedicalClinic extends LocalBusiness with healthcare-specific properties that matter for healthcare search: medicalSpecialty (which medical domain the clinic covers), availableService (which specific procedures and treatments are offered), and hasHealthPlanNetwork (for insurance-empanelled facilities). These properties are what enable specialty-specific and procedure-specific search visibility.
Required vs recommended properties
Property
Type
Required?
Example value
AEO impact
@type
Text
Required
MedicalClinic (or Hospital)
Entity classification.
name
Text
Required
Ichelon Healthcare — IVF Centre Gurgaon
Knowledge Panel title.
url
URL
Required
https://www.ichelonconsulting.com/ivf-gurgaon
Citation URL.
telephone
Text
Required
+91-88820-49782
Contact rich result.
address
PostalAddress
Required
Full address with addressLocality, addressRegion, postalCode
Local Pack visibility.
medicalSpecialty
MedicalSpecialty
Recommended
Obstetrics, ReproductiveMedicine, Fertility
Specialty query citation.
availableService
MedicalTherapy
Recommended
IVF, IUI, ICSI, Egg Freezing
Procedure query citation.
openingHoursSpecification
OpeningHoursSpecification
Recommended
Mon-Sat 9:00-18:00
Local Pack hours.
physician
Physician
Recommended
Named doctor with credentials
Doctor search citation.
geo
GeoCoordinates
Recommended
Latitude, longitude
Map Pack positioning.
hasCredential
EducationalOccupationalCredential
Optional
NABH, JCI accreditation
Trust signal.
Full schema example for a typical IVF clinic
The following is a complete MedicalClinic JSON-LD schema for an IVF clinic. Insert in the <head> of the clinic location page:
{
"@type": "MedicalClinic",
"name": "[Clinic Name] — IVF & Fertility Centre",
"url": "https://www.yourclinic.com",
"telephone": "+91-XXXXXXXXXX",
"address": {
"@type": "PostalAddress",
"streetAddress": "[Street Address]",
"addressLocality": "Gurugram",
"addressRegion": "Haryana",
"postalCode": "122018",
"addressCountry": "IN"
},
"geo": {"@type": "GeoCoordinates", "latitude": 28.4595, "longitude": 77.0266},
"medicalSpecialty": ["Obstetrics", "ReproductiveMedicine"],
"availableService": [
{"@type": "MedicalTherapy", "name": "IVF Treatment"},
{"@type": "MedicalTherapy", "name": "IUI Treatment"},
{"@type": "MedicalTherapy", "name": "ICSI Treatment"},
{"@type": "MedicalTherapy", "name": "Egg Freezing"}
],
"physician": [{"@type": "Physician", "name": "[Doctor Name]", "medicalSpecialty": "ReproductiveMedicine"}]
}
Schema for multi-location practices
For a clinic with multiple locations, create separate MedicalClinic schema instances for each location — each with its own address, geo-coordinates, telephone, and opening hours. Link them together using a parent Organization schema:
The parent Organization schema declares the overall brand, with each MedicalClinic as a department or subOrganization. This structure tells Google and AI engines that the clinics are related entities under one brand — enabling Knowledge Panel consolidation for the brand while maintaining separate local search visibility for each location.
Connecting MedicalClinic to Physician and MedicalSpecialty
The most powerful schema configuration for a doctor-led healthcare brand: MedicalClinic as the facility entity, Physician as the doctor entity (linked via worksAt from Physician to MedicalClinic), and MedicalSpecialty as the specialty domain entity (linked via medicalSpecialty from both the clinic and the doctor).
This triple-entity structure allows AI engines to answer three types of queries accurately: facility queries ("IVF clinic in Gurgaon"), doctor queries ("best IVF doctor in Gurgaon"), and specialty queries ("where can I get IVF in Gurgaon"). All three map to your schema.
Common implementation errors
Missing address structure: using a flat address string instead of PostalAddress schema object. AI engines cannot parse unstructured address strings.
Wrong @type: using LocalBusiness instead of MedicalClinic. This is the single most common and most impactful healthcare schema error.
Missing medicalSpecialty: leaving out the specialty declaration means Google cannot confirm what type of medicine is practiced — reducing specialty-specific query visibility.
Hardcoding the schema without updating it: clinic name changes, new services added, doctor leaves — if the schema is not updated, it creates entity confusion. Treat schema as a live document, not a one-time implementation.
Duplicate schema on multiple pages: each location should have one schema instance on one authoritative page. Multiple conflicting instances cause entity disambiguation problems.
How to test your schema implementation
Use Google's Rich Results Test (search.google.com/test/rich-results) to verify MedicalClinic schema is correctly parsed. Use Google Search Console's Enhancements section to check for schema errors and warnings. Use Schema.org Validator to verify all required properties are present. Run the URL through Perplexity with a query about your clinic — if the schema is correct, Perplexity's Sources section should correctly identify you as a medical clinic.
Frequently asked questions
What is MedicalClinic schema?
MedicalClinic schema is a structured data vocabulary from schema.org that identifies a web page as representing a medical clinic. It declares the clinic's name, address, telephone, medical specialties, available services, opening hours, and medical staff in a machine-readable format that search engines and AI engines can parse directly — enabling Knowledge Panel appearance, local search visibility, and AI citation.
Is MedicalClinic schema different from LocalBusiness schema?
Yes. LocalBusiness declares a business with an address and contact information. MedicalClinic extends LocalBusiness with healthcare-specific properties: medicalSpecialty (the clinical domain), availableService (specific treatments), physician (the medical staff), and hasCredential (accreditations). Using LocalBusiness instead of MedicalClinic means Google cannot identify your facility as a medical entity for specialty-specific search queries.
How long does it take to implement MedicalClinic schema?
30-60 minutes of developer time per clinic page, including testing. The JSON-LD block is inserted in the <head> of the page. No visual changes to the page are required. Testing with Google's Rich Results Test takes an additional 15 minutes. Total implementation cost for a 3-location clinic: 2-4 hours of developer time.
Does MedicalClinic schema improve Google rankings?
Indirectly. MedicalClinic schema does not directly affect ranking positions but improves click-through rate (through Knowledge Panel and rich result appearance) and AI citation frequency (by enabling entity-specific retrieval). Higher CTR produces more engagement signals that Google uses as a quality indicator. AI citations bring high-intent referral traffic. Both contribute to organic performance improvement.
What is the difference between MedicalClinic and Hospital schema?
Hospital extends MedicalClinic with additional properties relevant to inpatient facilities: numberOfBeds, availableService for surgical procedures, and Department for specialist units. Use MedicalClinic for outpatient-only facilities and Hospital for inpatient facilities. Multi-specialty hospitals with OPD and IPD should use Hospital at the top level with Department schema for each specialty unit.
Do I need a developer to add MedicalClinic schema?
A developer is recommended to ensure correct JSON-LD syntax and testing. However, if you have access to a CMS with a head section or a schema plugin (Yoast, RankMath for WordPress), you can add the JSON-LD block without developer assistance. Copy the template in this article, replace the placeholder values with your clinic's information, and paste into the head section of your clinic page.
The seven schema mistakes that quietly block AI Overview citations
Most Indian clinic sites we audit have MedicalClinic markup on the page — and still never surface inside an AI Overview or People Also Ask block. The markup validates. The citations don't come. In almost every case the root cause sits inside one of these seven mistakes, and each one is a five-minute fix once you know where to look.
- Address without a country code.
addressCountrydefaults to nothing. AI systems that filter by geography quietly drop you from India-specific answers. Always set"addressCountry": "IN". - Reusing the same
@idacross locations. A three-branch clinic needs three distinct MedicalClinic nodes with unique@idURLs, otherwise Google treats them as duplicate entities and merges the reviews. - Physician nodes floating outside the graph. Every Physician entity should be wired to its clinic via
worksFor, and the clinic back to the doctor viaemployee. Orphan nodes get ignored. - FAQPage markup on pages without visible FAQ text. Google's 2024 guidance made this a manual-action risk. The Q&A must be on-page and visible — not hidden behind a tab that loads via JS.
- Missing
medicalSpecialtyenum values. Free-text like "IVF centre" fails silently. Use Schema.org enums such asObstetric,ReproductiveMedicine,PlasticSurgery. - Review schema with no
author.name. AggregateRating without individual Review nodes carrying real reviewer names is treated as unverified and stripped from rich results. - Opening hours in local time with no timezone. Use ISO 8601 with the Indian offset, e.g.
"opens": "09:00"plus explicit day tokens — the AIO pipeline reads these to answer "is X clinic open now" queries.
Fix these seven and most clinics see the first AIO citations inside 6-10 weeks. If you'd rather have the schema stack built and monitored for you, that's exactly what our Client Elevation Programme ships in week one, alongside the YODA AIO Lab that tracks which queries you're getting cited in. For teams running Google Business Profile in parallel, Angryturtle keeps the NAP data on your listings and your schema in sync — mismatches between the two are the fastest way to lose local pack visibility.
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