Two offices in the same group, 14 miles apart. Same protocols, same hiring bar, same owner. One has 214 reviews and a 4.8 average. The other opened in 2024 and sits at 12 reviews and a 3.7.
A patient searching “therapist near me” in that second neighborhood never learns they are the same practice. She sees a thin listing beside a competitor with 200 reviews. She books the competitor.
Care quality had nothing to do with it. Reviews pile up wherever someone happened to ask. At most groups, nobody has asked in years except by accident at the original office.
We'd argue the review column belongs on the operations report next to no-show rate and days in AR. It has a baseline. It moves when you work it. And it is the only number on that list nobody owns.
Patients research a provider more carefully than they research a car. Over half read at least six reviews before deciding. Another 40% have canceled an appointment or changed a care plan on reviews alone.
An office with 12 reviews cannot survive that. There is nothing to read. The patient's next move is the listing below yours.
Nobody invoices you for this. No report shows the patient who searched, compared, and picked someone else at 9:40 on a Tuesday. The loss shows up months later as a quiet enrollment gap at one site.
The original location has a decade of patients who were asked, or who wrote something unprompted after a good visit. Every year that head start compounds. A new office review building starts from zero against a competitor who started in 2009.
Sensitivity makes it harder in some specialties. Mental health practice reviews sensitivity is real. Patients hesitate to attach their name to anything that identifies their care. Those offices stay thin even when patients are grateful.
Automated review requests in AdvancedMD triggers from actual appointment activity, not from a marketing list. The visit gets marked complete. A text goes out two hours later, while the appointment is still fresh.
Volume then scales with each office's traffic instead of with whoever remembered to ask. A site seeing 400 visits a month sends requests at 400-visit scale. That is how a two-year-old office catches a fifteen-year-old one.
Every patient gets the same request. Sentiment filtering means screening for happy patients before showing the Google link. It breaks Google's policies and the FTC's rules on review practices. It also reads exactly as dishonest as it is.
The message carries no clinical detail and never names the reason for the visit. Patients who ignore it hear nothing further. For sensitive specialties, that restraint is the whole design: the request is gentle, optional, and impossible to mistake for pressure. We go deeper on that balance in asking for reviews without pressuring patients.
Automated Review Requests fire from completed visits and send patients to the Google profile for the office they attended. Nothing gets routed to a group-level listing, so the reviews land where a nearby patient will actually see them.
A per-office rating dashboard puts every location's count, average, and recent reviews on one screen. Your administrator reads it like any other weekly number. She can answer a review at any site without logging into six separate profiles.
Campaigns tune per location. New offices run at full volume while an established site stays in maintenance mode. Setup detail lives in how automated review requests get configured per office.
|
Office |
Opened |
Google reviews |
Rating |
|
Founding office |
2011 |
214 |
4.8 |
|
Second location |
2018 |
63 |
4.6 |
|
Newest office |
2024 |
12 |
3.7 |
Numbers above are illustrative of a typical three-site group. Run the same three columns on your own offices tonight, and the shape will look familiar.
Volume lands at the sites that needed it. At the multi-location practice mentioned earlier, 90% of surveyed patients left 5-star reviews. That produced 1,064 new ones across its offices in three months, based on our internal data.
Local SEO for practice offices responds to count, average, and recency together. Weekly reviews at a two-year-old office do more for its map ranking than a decade-old pile at the original site.
Managing a multi-office Google Business Profile group gets easier as this runs, because every response happens from one queue. Groups tracking site-by-site performance usually pair this with benchmarking each location against the others.
Google your newest office tonight, on your phone, from outside the building. What loads is what every prospective patient in that neighborhood sees before they see anything else you have built.
Most groups measure everything that happens after the patient arrives and nothing that happens before. Reviews get earned visit by visit. A well-run practice should win that column by default.
Book a demo. We will audit the review gap office by office, then project 90-day volume from your real visit counts, so you can see which sites move first.