I scanned 17 Indian pediatric clinics for AI readiness

On 7 August 2026 I scanned 17 real Indian pediatric and child specialist clinic homepages with my public AI readability engine, the same one behind the free Report Card tool. These are independent clinics and small practices across 10 cities, not the big hospital chains. The median score came out to 77 out of 100, a solid number on paper, but the sample splits almost in half along one line: whether the homepage publishes structured data. Clinics that do sit at a median of 92, clinics that do not sit at a median of about 54, and the writing on both sides is fine. The content is there, the machine readable layer underneath it is often missing.

A score spread from 40 to 100

Scores ranged from 40 to 100 across the 17 clinics, with a median of 77 and a mean of 73.9 (the mean sits below the median because a handful of low scores pull it down). Two clinics hit a perfect 100. On grades, 6 of the 17 scored an A (85 or higher), 5 scored a B, 4 scored a C, 2 scored a D, and none scored an F.

That is a wide spread for one specialty in one country, and it makes sense once you remember these are independent clinics, not one hospital chain with one web team and one template. Each site was built separately, by a different agency or whoever the clinic owner happened to know, so basic web hygiene like a title tag or a meta description ends up present on some homepages and missing on others almost at random.

The fault line is structured data

Structured data is the fault line in this sample. 9 of the 17 clinics publish JSON-LD on their homepage, and those 9 have a median score of 92. The other 8 publish none, and their median score is about 54, roughly 40 points lower. Structured data is the label an AI engine reads to know what a page actually is: a clinic, which doctor, which services, which city, rather than guessing from paragraphs of prose.

This single signal explains most of the score gap in this study, which makes it the highest value fix available to any clinic reading this. Adding basic JSON-LD to a homepage is a few hours of work for a developer, not a redesign, and on this data it is worth roughly 40 points.

FAQ schema and clean headings: the next gap

Only 3 of the 17 clinics have FAQ structured data on their homepage, which is a strange gap for this specialty specifically. Parents ask AI assistants some of the most FAQ shaped questions of any vertical I have scanned: what counts as a normal fever, when the next vaccine is due, what dose of paracetamol is safe, what the clinic timings are, whether the doctor is available on a Sunday. FAQ schema is the exact format built to let an AI engine lift a short, direct answer straight from the page, and 14 of the 17 clinics in this sample are not using it.

Headings tell a similar story: only 8 of the 17 homepages have one clean H1, 6 have competing or multiple headings that blur what the page is about, and 3 have no H1 at all. Meta descriptions are worse in one sense: 4 of the 17 are missing entirely, and another 3 are weak.

The smaller gaps in the sample:

• Open Graph tags for link previews are missing on 7 of 17 homepages, so a shared link can show up blank on WhatsApp or social media.
• 6 of 17 clinics have competing or multiple H1 headings, and 3 more have no H1 at all, only 8 have one clean heading.
• 4 of 17 homepages have no meta description at all, and 3 more have a weak one.
• 1 of 17 clinics blocks AI crawlers outright, the lone exception in an otherwise open sample (16 of 17 are accessible).

What to fix, in order

1. Add basic JSON-LD (a Physician or MedicalClinic type) to the homepage first: on this data it is worth roughly 40 points, more than any other single change.
2. Add FAQPage schema answering the questions parents actually ask: what a normal fever is, when the next vaccine is due, safe paracetamol dosing, clinic timings, and weekend availability.
3. Give the homepage one clean H1 that states the clinic name, specialty and city, and remove or demote any competing headings.
4. Write a real meta description under 155 characters naming the specialty and the city, since 4 of 17 clinics currently have none at all.
5. Rerun the free Report Card tool on your own homepage to see exactly which of these gaps apply and watch the score move as you fix them.

Method and limits

This is 17 real pediatric and child specialist clinic homepages, scanned live on 7 August 2026 with the same engine that powers the free Report Card tool on this site. I looked only at the homepage of each clinic, not the full site, and every number here is reported as an anonymous aggregate, no clinic is named. The sample is independent clinics and small practices across 10 cities (Bangalore, Mumbai, Ahmedabad, Kolkata, Coimbatore, Nashik, Surat, Gurgaon, Kochi, Trivandrum), not the large hospital chains, so it skews toward smaller practices with smaller web budgets and will not generalize to every pediatric provider in India.

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