I scanned 14 Indian cosmetic dentistry clinics for AI visibility

On 23 July 2026 I scanned 14 real Indian cosmetic dentistry clinic homepages, one snapshot each, using the same free Report Card engine and fixed signal list I use across this whole series: general clinics, hotels, restaurants, hair transplant, dermatology, IVF and cosmetic surgery clinics. The score measures machine readability: whether an AI answer engine can parse the page's structure, metadata and schema. It says nothing about the quality of the dentistry or the clinic itself. A site can have the best cosmetic dentist in the city and still score low here if the homepage is unreadable to a machine, and vice versa.

A strong vertical, tied with cosmetic surgery

The median score across the 14 clinics is 87 out of 100, with scores ranging from 67 to 98. Nine clinics scored an A, four scored a B, one scored a C. Nobody scored a D or an F. That 87 ties cosmetic dentistry with cosmetic surgery clinics (also 87) and puts it just below the top three high ticket aesthetic verticals I have scanned so far: IVF clinics at 90, hair transplant clinics at 89, and dermatology clinics at 89. All five of these sit well clear of restaurants (79), my general clinic index (77) and the 25 hotels I scanned (76).

The pattern across every high ticket aesthetic category I have looked at is the same. Cosmetic dentistry is a competitive, expensive, research heavy purchase: patients compare clinics, price out veneers and smile makeovers, and read reviews before they book a consultation. That pressure seems to push clinics toward cleaner titles, working Open Graph tags and basic schema markup, because an agency or in house team is already optimizing for search. The machine readability groundwork is mostly done. What is missing is more specific.

Structured data is close to universal here

13 of the 14 clinics have structured data (schema markup) on their homepage. The one clinic without it is also the lone C in the sample, scoring 67, the lowest of the 14. So structured data is not really the divider in this vertical: almost everyone already has it, and the one holdout is the one clinic actively losing points for it. If you want to check what schema you are missing, run your own homepage through the free Report Card and cross reference with the schema generator, which builds valid JSON-LD for clinics without asking you to write it by hand.

FAQ markup is the blind spot, and it is nearly universal

Only 2 of the 14 clinics have FAQ markup on their homepage. The other 12 do not. That gap matters more than it looks, because FAQ markup is exactly the format that lets an AI engine lift a direct answer to a real patient question: how much do veneers cost, do dental implants last, is a smile makeover painful, how many visits does it take. Without that markup, a clinic can have the right answer buried in a paragraph of homepage copy and still lose the citation to a competitor who wrote the same fact as a structured question and answer. I have already documented this fix working on a real site: the dental clinic case study covers a clinic that went from 81 to 92, a B to an A, in three days, off two structural fixes including FAQ markup. This is not a theoretical lever. It moved a real score in three days.

The smaller gaps in the sample:

• 2 of 14 have a missing or broken H1
• 3 of 14 are missing Open Graph tags
• 2 of 14 have a title tag issue

What to fix, for the sites still behind

1. Add FAQ markup that answers real cosmetic dentistry questions patients ask: veneer and implant cost ranges, how long results last, how many visits a smile makeover takes, how painful the procedure is. Use only facts you can stand behind, never invented numbers.
2. If you are the one clinic without structured data, add it. The schema generator builds valid JSON-LD for a clinic homepage without hand coding it.
3. Fix a missing or broken H1. Two of the 14 clinics have one, it is a five minute fix and it is one of the most basic signals an AI engine reads first.
4. Add the Open Graph tags you are missing. Three of the 14 clinics have none, which affects how the page previews when shared, referenced or crawled.
5. If you already have structured data, keep it accurate. Stale schema (old prices, closed locations, discontinued services) is worse than no schema, because it is a wrong answer an AI engine can confidently repeat.

Method and limits

This is 14 real Indian cosmetic dentistry clinic homepages in Mumbai, Delhi and Bangalore, each scored once on 23 July 2026 with the free Report Card: homepage only, no JavaScript execution, a single snapshot in time. A 15th clinic in the original list was unreachable at scan time, so the sample is 14, not 15. Fourteen sites is a small sample, so treat the ranking against other verticals as directional, not definitive. But structured data and FAQ markup are binary, verifiable facts on each homepage right now, not opinions, and the pattern (schema present, FAQ absent) held across almost every clinic in the sample.

Frequently asked questions