A study of how eleven American veterinary chains appear at the moment somebody decides where to take their animal — and what 82 clinics revealed about an industry that has stopped watching.
It is nine in the evening. A dog has stopped eating. Somebody picks up a phone and types four words.
Vet near me open. What happens in the next forty seconds decides where that animal goes tonight. Not your website. Not your brand campaign. Not the quality of your surgical team. Three results on a map, each with a name, a rating, a distance and a set of opening hours.
That is the entire competitive arena for a business built on being nearby. And it is the part of the customer journey that almost no veterinary chain has ever audited.
Eleven chains are in this study. They are anonymised, and the letters are deliberately not in rank order — so if you work in this industry, there is a reasonable chance one of these scorecards is yours and you will not know which until you reach the end.
Read this as a list of things you can fix. Most of the defects we found cost nothing but attention to correct, and the effect on search placement is immediate and measurable — which is more than can be said for most of a brand budget.
Read this as a list of things to ask about. Listing debt is a predictable by-product of acquisition, it is assessable from outside a target before you buy, and in most groups it appears on no dashboard and has no owner in the org chart.
Amplispot sells digital presence management, including a review and listings product called ReviewSpot. We have an obvious commercial interest in a report that concludes local presence is mismanaged, and you should read it with that in mind.
What we have done to make it checkable anyway: the scoring formula and the full deduction schedule are published, so you can recalculate any score yourself. Every figure came from public Google listings, so any claim can be independently verified. No chain was contacted before publication, paid for inclusion, or given advance sight of its score — and we excluded one chain from the ranking despite it scoring well, because its sample was too thin to be honest about. ReviewSpot is not mentioned again in this document.
Every business with a physical location has two shopfronts. One is the building. The other is a box on a map that most owners have never deliberately designed, and many have never read.
For veterinary medicine the second shopfront does more work than the first. Pet owners rarely research clinics at leisure — they search when something is wrong, close to home, often out of hours. The search result is not an advertisement for the visit. It is the visit's beginning.
In those forty seconds a person forms a complete impression from four things: whether your name looks like a real, specific place; whether your rating is above the two clinics beside you; whether enough other people have been there to make the rating mean anything; and whether you are open right now. Nothing on your website is consulted. No brochure. No brand guideline.
Each of those four can be silently wrong. A clinic can publish a closure that was never true, and lose every weekend search for a year. Two profiles can exist for one building, splitting the reviews between them so neither looks established. A clinic acquired three years ago can still carry the previous owner's name, so clients searching your brand never find it.
None of this is visible from inside the business. Nobody on your team searches for their own clinic. The defect is seen by every prospect and by nobody on the payroll — which is exactly why it survives.
If that front door matters this much, the obvious question is who else is standing in the same doorway. The answer turns out to be far more crowded than most people in the industry realise.
Next, Part TwoSeventy chains you cannot nameWhat was a profession of independent practices is now, in large part, corporate. The pace has been extraordinary and the ownership is largely invisible to the public, because most chains keep their clinics' original names.
Corporate groups buying or building US veterinary clinics, per industry trackers. The number of consolidating companies roughly tripled between 2012 and 2022.
The share of US general veterinary practices under corporate ownership, per AVMA economic reporting and VetPartners commentary. Some trackers put it nearer one in three.
What industry observers expect once the chains begin buying each other. Consolidation of the consolidators is the next phase.
Almost everything written about this industry describes the top of that pyramid. This report is about the long tail — chains large enough to make central decisions about brand and marketing, small enough that those decisions still visibly move the numbers, and, on the evidence that follows, least likely to have anyone watching their front door at all.
Eleven of those chains are the subject of this study. Before any of the numbers, it is worth being precise about how we chose them and what our method genuinely cannot see.
Next, Part ThreeHow we lookedNo chain gave us data. None was contacted before publication. That constraint is deliberate — it means every finding in this report was equally available to the chain itself.
We searched each chain by brand name across the metropolitan markets where it is known to operate. Where a chain is concentrated in one state we swept that state; where national, we sampled several regions.
For every clinic we captured the listing name, street address, telephone number, published opening hours, star rating, total review count, and the review text Google displays on the profile.
Most defects only appear when you look across a whole estate. Duplicates show up as two profiles sharing one address and phone number. Ghosts as live listings with no reviews. Naming failures by comparing names across the chain. Hours defects by finding a clinic whose schedule contradicts its own network. This is why internal teams miss them.
The four components were calculated from the captured figures using the formulas and deduction schedule in Part Five. No judgement was applied after calculation and no chain was moved for editorial reasons.
A twelfth chain met every criterion except the three-clinic threshold: only its flagship hospital appeared under the group brand, carrying 2,271 reviews. Scored as-is it would have placed third, because a single high-volume site produces a per-clinic average no genuine network can match. That is an artifact of our sample, not a finding about the business, so it is excluded.
We mention it because the reason it has one findable clinic is the interesting part: its flagship still trades under the name it had before acquisition, and the group brand does not appear on the listing at all.
We began this study expecting to rank chains on customer satisfaction. Within a day of collecting data it was clear that would produce a table telling nobody anything.
Next, Part FourThe finding that broke our first draftEleven chains. Six-tenths of a star between the best and the worst.
Every chain sits between 4.18 and 4.77. To a client comparing two clinics that difference is invisible. To a marketing director deciding where to spend, it is noise. This is what an industry looks like when everybody has already solved the obvious problem: corporate veterinary medicine in America is, by this measure, uniformly good.
If the number every chain reports internally no longer distinguishes them from anyone, what does? The answer is not sentiment. It is whether the front door described in Part One is actually working — and that turns out to vary enormously.
So we stopped measuring how people feel about these chains and started measuring something they can control.
Next, Part FiveA different measuring stickYou should be able to recalculate your own score from this page. That is deliberate — an index you cannot audit is a marketing device, not a measurement.
How many reviews each clinic carries on average. Count is a ranking input in its own right, not just a confidence signal for humans. Log-scaled, because the gap between 100 and 300 matters more than 1,300 to 1,500.
Whether the estate is correctly represented. Starts at full marks and loses points for each defect — duplicates, ghost listings, unmigrated brands, naming failures, implausible hours.
Volume-weighted average across the chain, scaled 3.5 to 4.9. Deliberately the smallest meaningful component, for the reason established in Part Four.
The gap between the best and worst clinic. A chain is only as findable as its weakest site, and a wide spread usually means nobody is watching at clinic level.
Integrity begins at 35 points. Each defect found costs the following:
We did not score owner response rate — whether chains reply to their reviews. It is probably the most interesting question in this space and we want it in a future edition. But the public data source used here does not expose owner replies as a retrievable field, so we could not count them reliably. Rather than estimate, we left it out. Any figure you see quoted elsewhere on category-wide response rates is worth questioning for the same reason.
Applied to eighty-two clinics, that measuring stick produces a table that looks almost nothing like the star ranking.
Next, Part SixThe ranking| # | Chain | Clinics | Reviews | Per clinic | Rating | Defects | Score |
|---|---|---|---|---|---|---|---|
| 1 | Chain J | 3 | 2,780 | 927 | 4.77 | 1 | 82 |
| 2 | Chain C | 11 | 10,678 | 971 | 4.71 | 1 | 80 |
| 3 | Chain A | 10 | 13,925 | 1,392 | 4.18 | 2 | 71 |
| 4 | Chain F | 6 | 1,486 | 248 | 4.64 | 0 | 70 |
| 5 | Chain K | 8 | 6,721 | 840 | 4.58 | 2 | 68 |
| 6 | Chain D | 5 | 8,141 | 1,628 | 4.20 | 2 | 65 |
| 7 | Chain B | 5 | 4,993 | 999 | 4.32 | 2 | 64 |
| 8 | Chain H | 6 | 3,957 | 660 | 4.20 | 2 | 62 |
| 9 | Chain G | 14 | 4,812 | 344 | 4.55 | 2 | 61 |
| 10 | Chain E | 10 | 1,545 | 154 | 4.65 | 1 | 59 |
| 11 | Chain I | 4 | 1,332 | 333 | 4.60 | 2 | 56 |
The chain with the second-highest star rating in this study finishes tenth of eleven. The chain with the lowest star rating finishes third. The spread is no longer six-tenths of a star — it is 56 to 82 out of 100. If you manage your local presence by watching your star average, you are watching the one number that no longer separates you from anybody.
Two things drive almost all of that separation. Neither has anything to do with how good your clinics are.
Next, Part SevenWhat the ranking revealsFrom 154 reviews per clinic to 1,628.
Some chains here run counter-level review programmes at genuine scale. Others run none at all. Because volume feeds local ranking independently of score, a chain at the bottom of this chart can be beaten in search by a lower-rated competitor with more reviews on file — losing the forty seconds described in Part One to a clinic it out-performs clinically.
The encouraging read: unlike a rating, volume is not a verdict on your medicine. It measures whether anybody is asking. That makes it the fastest-moving number in this report.
Take a location sitting at 4.6 stars. In one difficult month it receives three one-star reviews — a staffing gap, a bad week, one genuinely poor experience shared by a family or a group. Nothing unusual.
What that costs depends entirely on how many reviews were already on file.
| Reviews already on file | Rating after | Drop | Five-star reviews to recover |
|---|---|---|---|
| 40 | 4.35 | −0.25 | 27 |
| 100 | 4.50 | −0.10 | 27 |
| 250 | 4.56 | −0.04 | 27 |
| 500 | 4.58 | −0.02 | 27 |
| 1,000 | 4.59 | −0.01 | 27 |
Two things in that table matter more than anything else in this report.
The same three reviews do twenty-five times more damage at a thin location than a rich one. And the recovery cost — 27 five-star reviews — is identical at every volume. It does not get cheaper because you are large. It is fixed by arithmetic.
So a thin estate takes visible hits and pays the same repair bill. That is why volume behaves like insurance rather than marketing: you cannot prevent bad reviews, you can only dilute them, and dilution has to be running before the bad month, not after it. Chains in this study range from 154 to 1,628 reviews per clinic — the difference between absorbing a bad month invisibly and explaining it to a board.
We counted 17 distinct structural defects: four naming failures, four sets of implausible or inconsistent opening hours, three chains carrying unmigrated legacy brands, three ghost or stale listings, and two duplicate listings sitting at addresses the chain already occupies. One chain had none.
None of these are marketing failures in the ordinary sense. They are the residue of buying clinics faster than anyone reconciles the digital estate, and they sit between three departments — which is usually why nobody owns them.
Below is every chain in the study, with its component scores and each defect we found, described generically.
Next, Part EightThe scorecardsWhat you take from all this depends entirely on which side of the table you sit on.
Next, Part NineWhat to do about itIf you run marketing for a veterinary chain, this is a list of things you can fix. If you own one, it is a list of things you should be asking about.
If any of the eleven scorecards looked uncomfortably familiar, there is a straightforward way to find out.
Next, Part TenWhich chain are youChains in this study are anonymised. We hold a private key mapping each letter to its chain, along with a verification code that appears nowhere in this document.
Email us from a company domain and we will confirm your letter, quote your verification code back to you, and send the full underlying detail for your estate — every clinic, every defect, named and specific. No charge, no meeting required, and we will not add you to anything.
We will not confirm any other chain's identity to you, and we will not confirm yours to anyone else. If you believe a defect we recorded is wrong, tell us — corrections are published in the next edition with the correction noted.