I scanned 15 Indian veterinary and pet hospitals for AI visibility

I ran my AI readability engine against the homepages of 15 real Indian veterinary and pet hospital websites: national chains, standalone neighborhood hospitals, and app-first at-home vet services. The median score came out to 66 out of 100, but that number hides the real story. The field splits into two groups with almost nothing in between: 7 sites scored 87 or higher, and the other 8 scored 66 or lower, with a clear gap sitting between 66 and 87 and zero sites landing in a B grade. What separates the two groups almost cleanly is structured data: sites that have it scored a median of 90.5, sites that do not scored a median of 46.

A polarized field: a readable top third and a hard to read rest

Of the 15 sites, 7 earned an A grade, 4 a C, 3 a D, and 1 an F. Zero sites earned a B. That absence is the finding: an AI readability score usually spreads across a curve, with most sites clustering somewhere in the middle. Here the middle is empty. Every site in my scan is either comfortably readable, 87 or above, or clearly struggling, 66 or below, with nothing bridging the two.

The split lines up with what kind of vet business is running the site. At home and online first vet services, the ones built as apps and booking platforms from day one, had a median score of 92.5, though that is only 2 sites so I am treating it as directional rather than solid. National chains came in at 72.5 across 6 sites. Standalone hospitals, 7 sites, scored a median of just 54, the lowest of any group.

That last number is the one that should worry a standalone clinic owner. When someone searches for an emergency vet near me, or asks an AI assistant the same question, it is exactly the standalone neighborhood hospital that needs to surface, and it is exactly that group scoring the worst. The chains and the app first players, who arguably need local discovery less, are the ones an AI engine can actually read.

Structured data is the dividing line

8 of the 15 sites carry JSON-LD structured data, 7 do not. Sites with structured data had a median score of 90.5. Sites without it had a median of 46. That is a 44.5 point gap, one of the widest splits I have measured tying a single factor to AI readability in any vertical so far.

Structured data, JSON-LD schema tags like Organization, VeterinaryCare, or LocalBusiness, is a block of machine readable text sitting in the page's code, separate from what a visitor sees. It states plainly what a business is, where it is, what services it offers, and when it is open, in a format an AI engine can parse without guessing. Without it, an AI system has to infer the same facts from paragraphs, images, and layout, and inference is where clinics get skipped.

This is also the good news in the data. Adding structured data is not a redesign. It does not touch the visible page at all. And in this scan, that one technical addition tracks almost exactly with which cluster a site fell into, readable or not.

The FAQ gap: everyday questions nobody wired up

Only 1 of the 15 sites has FAQPage structured data. 14 of 15 are missing it entirely. A related basic, one clear H1 heading identifying what the page is about, is present on only 7 of 15.

FAQPage schema is what lets an AI engine lift a direct question and answer pair out of a page: what are your emergency hours, do you see walk ins, how much does a vaccination cost, do you perform surgery, do you offer home visits, is the clinic open right now. These are exactly the questions a worried pet owner asks before ever loading a site, and right now almost none of the 15 hospitals I scanned have written the answers in a form an AI assistant can find and quote.

The smaller gaps in the sample:

• FAQ markup on only 1 of 15 sites
• one clean H1 heading on only 7 of 15
• Open Graph tags on 10 of 15
• a clear page title on 9 of 15
• zero B grades: the field splits into a readable top third and a hard to read rest

What to fix, for the sites still behind

1. Add JSON-LD structured data, Organization plus VeterinaryCare or LocalBusiness, with your services and opening hours written out as plain text, not buried in an image; the schema generator builds this block for you.
2. Give every page one clear H1 heading that states what the page is, not a logo or a slogan.
3. Add FAQPage schema answering the real questions pet owners ask: emergency hours, vaccination cost, whether you do surgery, whether you offer home visits, and whether you are open right now.
4. Write your hours, prices, and services as readable text on the page itself, not inside a photo or PDF, since an AI engine cannot read text trapped in an image.
5. Add Open Graph tags so your clinic's name and description show up correctly wherever the page gets shared or referenced, then check your score with Report Card.

Method and limits

This scan covers homepages only, one snapshot in time, not the full site. I used my own open source analyzePage engine to measure machine readability: whether structured data, headings, and page metadata are present and well formed. It says nothing about the quality of care at any of these hospitals, only whether an AI system can read and cite the page. Fifteen sites is a small sample, and the per group medians, especially the 2-site at home group, should be read as directional rather than conclusive. No individual clinic is named in this study.

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