15 questions pet owners ask AI before choosing a vet, and what answers them
At 11pm on a Tuesday, a pet owner with a vomiting dog is not searching your website, they are asking ChatGPT which emergency vet near them is open right now.
Pet owners do not browse the way they used to. When a dog will not stop shaking or a cat has not eaten in two days, the first move now is often a question typed straight into ChatGPT, Gemini, or Perplexity, not a search that ends in ten blue links to click through. 'Emergency vet near me open now' is a question an AI assistant tries to answer directly, and it can only answer with a clinic whose site actually states its hours, its location, and what it treats, in text the AI can read.
I scanned 15 real Indian veterinary and pet hospital homepages for AI readability, the same engine behind every AI Visibility Audit I run. Median score: 66 out of 100. The field is polarized: 7 clinics scored 87 or higher, and the other 8 dropped to 66 or below, with almost nothing in between (zero B grades). Structured data splits them cleanly too: sites with schema markup score a median of 90.5, sites without it score 46, a 44.5 point gap.
Only 1 of the 15 sites has FAQ structured data. Only 7 of 15 have a single clear H1 heading. And the standalone neighborhood hospitals, the ones a 'vet near me' search should surface first, score the worst of any category: a median of 54.
The 15 questions, and the fix for each
This needs OpeningHoursSpecification inside LocalBusiness or VeterinaryCare schema, including a specialOpeningHoursSpecification for 24x7 or after-hours emergency slots, plus a plain text sentence stating emergency availability, not just a phone number sitting inside a banner image.
If your hours only exist inside a poster image, an AI engine cannot tell if you're open at 11pm.
List vaccination as a Service or Offer with a priceSpecification field, in plain text next to the service description, not only inside a downloadable PDF price list.
A price sitting inside a PDF is invisible to an AI engine that only reads the page's HTML.
Use OpeningHoursSpecification with an explicit dayOfWeek and opens and closes time for every day, Sunday included, instead of a single 'Mon-Sat' graphic that quietly skips the exception.
Every day of the week needs its own line in the schema, not a shorthand banner.
Describe surgical services in a Service block under the clinic's VeterinaryCare schema, with plain text naming spay, neuter, and any other procedures, so the AI can match the service to the question.
A photo of an operating table doesn't count as an answer, a named procedure does.
Add a separate Service entry, or a second LocalBusiness listing, explicitly stating home visit availability and the coverage area. This is the highest scoring category in the scan (median 92.5), precisely because the offer is the whole page, stated in plain text.
At-home vet services scored highest in the scan because the offer itself is written in text, not implied.
Publish a plain text postal address plus geo coordinates in the address and geo fields of LocalBusiness schema, not just an embedded map image with no underlying text.
A map image with no text address is invisible to an AI answering a 'near me' question.
Attach a priceSpecification or priceRange to the consultation Service, written in plain text on the page, matching whatever the clinic actually charges.
If the fee only lives in a WhatsApp reply, an AI engine has no way to know it.
List each species treated explicitly in the services text (dogs, cats, birds, rabbits, exotics) instead of relying on a generic 'all pets welcome' banner graphic, since AI engines match specific nouns, not implied scope.
'All pets welcome' on a banner answers nothing. Naming the species does.
State the booking method in plain text, a named booking link or a described phone or WhatsApp process, and where a real booking system exists, mark it up as a potentialAction on the LocalBusiness schema.
A booking button with no surrounding text is a dead end for an AI reading the page.
List boarding and grooming as their own Service entries with a short plain text description each, distinct from the main veterinary care listing, so an AI can identify them as separate offerings.
Services bundled into one vague sentence get skipped when an AI is matching a specific question.
Name diagnostic capability, in-house lab, x-ray, ultrasound, as plain text service items. This kind of operational detail was almost entirely missing from the schema layer across the scanned sites.
Equipment photos without captions don't tell an AI what diagnostics you actually run.
State critical care or ICU availability explicitly in text and in the Service list, and pair it with OpeningHoursSpecification so the AI can connect 'do they have an ICU' with 'are they open right now'.
Emergency capability and emergency hours need to be stated together, not assumed from each other.
Add dental cleaning as its own Service with a priceSpecification, the same treatment as vaccination cost. Specific procedures need specific, separate price fields, not one 'contact us for pricing' line covering everything.
A generic 'contact for pricing' line answers nothing an AI can quote.
Where genuine reviews exist, mark them up with AggregateRating and Review schema tied to the real review count and score, never invented, so an AI can cite an actual rating instead of defaulting to silence.
Real reviews only help an AI answer if they're marked up in schema, not just displayed as logos.
This is the exact shape of question FAQPage schema exists for, and only 1 of the 15 scanned sites has it. List core vaccines and walk-in policy as separate FAQ entries with question and answer text, not folded into one paragraph.
This is precisely what FAQPage schema is for, and 14 of 15 clinics don't use it.
What I found scanning 15 veterinary and pet hospital sites
The single clearest divider is structured data. 8 of the 15 clinics have JSON-LD schema on their homepage, 7 do not. The ones that do score a median of 90.5. The ones that do not score a median of 46. That 44.5 point gap is not a rounding difference, it is the line between a site an AI engine can parse and cite, and a site it has to guess at. The grade distribution shows the same split in a different shape: 7 A grades, 0 B grades, 4 C, 3 D, and 1 F. There is no gentle slope here, there is a cliff.
FAQ structured data, the format built specifically to answer the kind of question a pet owner asks an AI assistant (do you treat cats, is walk-in allowed, how much is a vaccine), is present on exactly 1 of the 15 sites. The other 14 have no FAQPage schema at all, even on pages with a visible FAQ section written for humans. A single clear H1 heading, the simplest signal a parser uses to confirm what the page is even about, is missing on 8 of the 15 sites.
Break it down by category and the pattern gets worse for the businesses that need it most. At-home and online-first vet services score a median of 92.5 (only 2 sites in the sample, so directional, not conclusive). National chains score 72.5 across 6 sites. Standalone neighborhood hospitals, 7 of the 15 sites and the ones closest to most pet owners, score a median of just 54, the lowest of any group. The clinic a worried owner two streets away needs to find is statistically the least likely to be readable by the AI they are asking.
The pattern under all 15
Across all 15 sites, the pattern repeats. Hours, fees, emergency contact numbers, and the actual list of services a clinic offers are published as a banner image, a poster JPG on the homepage, or a PDF price list. A human eye reads that instantly. An AI engine reading the page's HTML sees none of it, because there is no text to extract and no schema to parse. The facts exist, they are just invisible to the exact system a pet owner is now asking.
None of this requires a redesign. It requires the same facts, already true, published as plain text and marked up with the right schema: OpeningHoursSpecification for when you are open, an Offer or priceSpecification for what a vaccine or consultation costs, a VeterinaryCare or LocalBusiness type with a real address and geo coordinates, and FAQPage schema for the handful of questions every pet owner asks. For an emergency query at 11pm, this is not a marketing nicety, it is whether the AI can find you at all. You can grade your own clinic site free to see which of these it already passes.
Frequently asked questions
why don't vet clinics show up in ChatGPT or AI answers
Most vet clinic sites publish their hours, fees, and services as images or PDFs instead of plain text and schema markup, so an AI engine has nothing to parse. In my scan of 15 Indian vet sites, the 7 without structured data scored a median of 46 out of 100 for AI readability.
does schema markup actually help a vet website
Yes. In my scan, the 8 sites with JSON-LD structured data scored a median of 90.5 out of 100, versus 46 for the 7 without it. That 44.5 point gap was the clearest divider in the whole sample.
what is the single most common gap on vet clinic sites
FAQ structured data. Only 1 of the 15 sites had FAQPage schema, even though FAQs are exactly how pet owners phrase questions to AI assistants. A clean single H1 heading was also missing on 8 of the 15 sites.
do pet owners really use AI to pick a vet
Increasingly, for urgent and practical questions: is a clinic open right now, does it treat cats, what does a vaccine cost, is there an emergency vet nearby. Those are exactly the questions an AI assistant is built to answer directly, which means the clinic's own site has to be readable enough to be the source.