Somewhere in your town this week, a family unloaded a moving truck with a dog pacing the empty house and a cat yowling in a carrier. Within a month they’ll need a vet. They don’t have a neighbor to ask yet, their old clinic is 800 miles away, and the decision gets made in one evening on a phone, usually before the boxes are unpacked. Whoever wins that evening keeps the family for the life of both animals.
That’s worth pausing on. A veterinary client relationship runs seven to fifteen years and covers wellness visits, dentals, the occasional emergency and eventually a second pet. The whole relationship gets decided by a search session that lasts maybe twenty minutes. Most clinics have never once looked at what that session returns.
Call her Dana. Two kids, a beagle named Otis, a cat named Soup. Tuesday night, 9pm, kids down, she types “vet near me” into her phone.
Google answers with the map pack: three clinics, each with a star rating, a review count, hours and a distance. Dana has no other information about your town. Those three cards are the entire market as far as she knows. If your clinic sits in position four, you don’t exist for her, and the difference between three and four is usually profile basics, not medicine.
She taps the first clinic. Now she’s reading reviews, and she reads them the way every new resident does: newest first, then the angry ones. A clinic with 220 reviews whose most recent is from last winter reads as a clinic that stopped trying. Forty reviews with three from this month reads as alive. She’s not counting stars. She’s checking for a pulse, and for the words that match her situation: “got us in same day,” “explained the estimate before doing anything,” “our beagle is terrified of everything and they were patient.”
Then one more move, and it’s the one most owners haven’t seen yet. She asks ChatGPT, because it’s open on her phone anyway from work: “I just moved to [town] with a dog and a cat, which vet should I look at?” The answer that comes back is assembled from pages: clinic sites, review text, local directories. Kevin Indig’s analysis of 1.2 million ChatGPT responses found that 44.2% of citations pull from the first 30% of a page, which means the answer to “is this clinic taking new patients, and what do they charge for a first exam” needs to sit at the top of your new-patients page, not in paragraph nine under a photo of the building.
Say you won the map pack and the review read. Dana taps through to your site. She has three questions and she will not scroll far to answer them: are you taking new patients, what does a first visit cost, and can she book without calling during work hours.
Most veterinary sites answer none of the three above the fold. They open with a slideshow of the building and a paragraph about compassionate care, which every clinic in America claims and no pet owner has ever searched for. If Dana can’t see “accepting new patients” in the first screen, she hits back and gives the second clinic in the map pack its turn.
The fix is one page, written once. A new-patients page that says yes we’re accepting, here’s what the first exam costs, here’s what to bring, here’s the online booking link, and here’s what happens during the visit. Write the numbers in plain text. That page does double duty: it converts the Danas who land on it, and it’s the exact block of content an AI assistant lifts when someone asks the question from a phone. Your competitors’ sites mostly can’t be cited for it, because the answer isn’t written anywhere on them.
Run the trail backwards and the winner did five unglamorous things. Its primary Google category is set to veterinarian, not animal hospital as a catch-all with pet boarding stuffed alongside. Its hours are accurate, including the Saturday half-day, because “open now” is a filter Dana used without thinking. Reviews come in steadily because the front desk asks after good visits, and someone replies to them, including the rough ones, in a tone Dana can imagine dealing with. The new-patients page answers cost and availability in the first hundred words. And the site names the town in real sentences, “wellness exams for dogs and cats in [town],” because that’s the phrase both Google and the AI answer engines match against.
None of that requires a marketing department. All of it requires someone to actually do it, which is where it usually dies. The clinic owner is medicine-first, the practice manager has forty other jobs, and the profile sits untouched since the day it was claimed.
You can run the whole audit in fifteen minutes. Open Google Maps in a private window, drag the map to the newest subdivision in your service area rather than searching from your own parking lot, and type “vet near me.” Note who shows up and where you rank. Read your three newest reviews and check the date on the most recent one. Then ask ChatGPT or Perplexity the moving-to-town question and see which clinics get named and which pages get cited. Finally, load your own site on a phone and count the seconds before a stranger could learn whether you’re taking new patients and what a first visit costs.
If you lose the trail at one of those steps, that step is your marketing plan for the month. It’s narrower and cheaper than whatever a “full digital overhaul” proposal says.
NetPageTwo runs this as a flat monthly service for independent clinics: the technical, on-page and AI search work at $489 a month, or $1,297 with conversion work and landing pages included, month to month with fourteen days notice. If you’d rather have a second set of eyes on the audit before deciding anything, book thirty minutes here, or read what we ship for veterinary practices.
