A Google review helps one location: the one it's posted on. Google ranks each Business Profile on its own prominence, and its ranking guide says more reviews and positive ratings can help.
If your founding clinic has 600 reviews, none of them count for the site you opened across town last year. That site competes with whatever it has.
For a lot of Tebra groups, that means a dozen reviews and a newest post from before the sign changed. Based on our internal data, 90% of new patient leads see a practice's Google Business Profile before its website. A thin profile caps a location's growth before anyone picks up the phone.
We think a group should run reviews the way it runs its schedule. Each location gets a request after every real visit, routed to its own profile. One desk watches every site, and every site gets benchmarked against the others.
Tebra groups start with an edge here. Tebra came out of the 2021 merger of Kareo and PatientPop, a practice marketing company, so reviews were part of the playbook early. Most groups already know a strong profile wins bookings.
The trouble starts when locations multiply. The office manager who chased reviews at the first site now covers three. Front desks at the newer sites are busy with check-ins and insurance calls, and the review ask is the first task to drop.
So the newest location, the one the group bought or built to grow, ends up with the weakest proof. Fixing that takes less effort than most leaders expect. It takes an owner, a trigger tied to visits, and a weekly look at the numbers by site.
Every review on a profile is a record of a past visit. So the location that's been open longest tends to have the most reviews.
A founding clinic that opened in 2011 has had 15 years of patients posting from their phones. A site you acquired in 2025 has had a few months under your name.
The doctors may share the same training and the same Tebra templates. Search ranks what it can count.
Google's local ranking guide names three factors: relevance, distance, and prominence. Prominence draws on how many reviews a profile has and how strong its ratings are.
In local SEO, practice locations compete one profile at a time. Each new or acquired site starts years behind your own flagship, and better care inside the building won't close that gap by itself.
A parent in the acquired site's ZIP code types "family practice near me." Google shows a short list of nearby options with stars and review counts. The comparison below is illustrative, but it's a pattern we see often.
|
What the parent sees |
Your acquired site |
Competitor 1 mile away |
|
Star rating |
4.1 |
4.7 |
|
Review count |
14 |
300 |
|
Newest review |
19 months ago |
Yesterday |
|
Owner replies |
2 of 14 |
Most |
Most people glance at three things: the stars, the count, and how recent the newest review is. The parent taps the competitor.
They never see your new evening hours, your same-day slots, or the physician who just moved over from your flagship. That's one lost booking, and nobody on your team knows it happened.
A site you build from scratch has its own version of the problem. It may open with two physicians who moved over from the flagship, each with years of loyal patients. On launch day, the new profile shows zero reviews.
Those patients don't carry their old reviews with them. Unless someone asks them to post about the new site, the profile stays blank for months.
A clinic with 4,000 visits in its first year can end that year with a handful of reviews, mostly from patients who were upset enough to post without being asked.
Acquired sites carry a second problem. Their old reviews describe a different practice. A 2-star review from 2023 complains about a phone tree you removed months ago. Another praises a doctor who retired before closing.
Changing the profile to your group's name can send it back through Google's verification check. Edits may sit in review while that happens. Meanwhile, the stale reviews stay up.
You can't delete a real review because it's out of date. You can reply to it, and you can push it down with newer ones. Both take steady weekly work that someone has to own.
At one location, reviews usually have a clear owner. The office manager asks at checkout, watches the profile, and answers the 1-star review on Monday morning.
Add four more sites and that ownership thins out. Each front desk is handling check-ins, insurance questions, and a phone line that won't stop. The review ask gets skipped when three patients are waiting and one needs to be rebooked.
Regional leaders often watch a group average, and that number hides a lot. A 4.6 group average can sit on top of a site at 4.1 with 14 reviews.
Hand-asked reviews also depend on who's working. A front desk lead who asks every patient can carry a site, and when she goes on leave, the count stops.
Start with one owner. A network reputation desk is a person or small team who watches every location's reviews from one screen. At most groups, that's one or two people in operations or marketing, working a short daily routine.
Google supports this setup. A multi-location Google Business Profile group lets you share management of every profile under one organization account.
Groups with 10 or more locations of the same business can request bulk verification, which makes adding a new or acquired site faster.
The routine itself is small. Check new reviews by location each morning, and reply within 2 business days. Send anything about care quality to that site's manager the same day.
Manual asks fail on busy days, so the desk shouldn't depend on them. A better source is automated review requests Tebra visit data can trigger.
When a visit is marked complete, a text goes out a few hours later with a link to that location's Google profile.
A clean request is short and holds no health details:
"Hi Maria, thanks for visiting Lakeview Family Medicine on Elm Street today. Would you share a quick review? [link]"
Every patient with text consent gets the same message. Google's review policy bans selectively asking for positive reviews, and FTC guidance for marketers warns against it too. Because every visit sends a request, review volume at each site follows that site's real traffic.
A group average hides the site that needs help. A per-location rating dashboard puts every site on its own row, so gaps show up in seconds. Sample figures below are illustrative.
|
Location |
Rating |
Total reviews |
Last 30 days |
Newest review |
Unanswered |
|
Main St (founding) |
4.8 |
612 |
41 |
Today |
0 |
|
Eastside (opened 2024) |
4.5 |
58 |
9 |
3 days ago |
2 |
|
Riverside (acquired 2025) |
4.1 |
14 |
0 |
19 months ago |
12 |
Riverside's problem sits in the last-30-days column. Zero new reviews and 12 old ones with no reply tell the desk where to spend next week.
Run the same review every Monday. Sort by the last-30-days column first, then by unanswered count.
Any site with fewer than 5 new reviews in a month, or any unanswered review older than a week, goes on that week's list. Those cutoffs are our suggestion, so set your own once you know each site's normal pace.
Reviews often point to problems your texting data can explain. Three reviews about long waits at Eastside mean more when you see them next to that site's confirmation numbers. If confirmations lag there, the schedule may be running on guesswork.
Running both in one platform gives you one report and one owner. Based on our internal data, practices on Curogram average a confirmation rate above 75%, so a site well below that stands out fast.
It helps the reply, too. When a 2-star review mentions a billing mix-up, the desk posts a short public note and sorts out the details by private text.
Public replies carry real risk. Manasa Health Center paid OCR a $30,000 settlement after disclosing patient information in replies to Google reviews. A safe reply never confirms the reviewer was a patient and never mentions care.
A reply like "Sorry the shot hurt, Mr. Lee, we'll note it in your chart" breaks both rules in one line.
Keep a small reply bank for each location with that site's phone number. "Thanks for the feedback. Please call our Riverside office at [number] so we can help" moves the talk off the page.
Established sites run in maintenance mode, with one request after each visit. New and acquired sites get a catch-up push for their first 90 days.
That push can add a one-time request to patients seen in the past 60 to 90 days, sent to the same location's profile. It's still an all-patient ask, and it only goes to patients who agreed to texts. TCPA rules treat informational and marketing texts differently, so have your compliance lead confirm which consent covers review requests.
This is how the desk would bring Riverside up to speed. All figures are illustrative, including an assumed 8% review rate on fresh requests and 4% on older catch-up requests.
Record Riverside's rating (4.1), review count (14), newest review date, and unanswered count.
Pull its completed visits from Tebra for the past 3 months: say 1,200, or about 400 a month. Then reply to all 12 unanswered reviews, including the old ones about the prior owner, and update hours and photos.
Name one person at Riverside, usually the office manager, who gets escalations from the desk. Without that name, a complaint about the new check-in process has nowhere to go.
Every completed visit at Riverside now sends a request to Riverside's profile. Test the link on a real phone before go-live. A link that opens the flagship's listing is an easy setup error, and it sends every review to the wrong site.
Send the one-time catch-up request to the 1,200 patients seen in the past 90 days who have text consent. Spread it over 5 business days so a wave of replies doesn't hit the front desk all at once.
|
Period |
Requests sent |
New reviews |
Running total |
|
Start |
0 |
0 |
14 |
|
Month 1 |
400 new + 1,200 catch-up |
32 + 48 |
94 |
|
Month 2 |
400 |
32 |
126 |
|
Month 3 |
400 |
32 |
158 |
At these rates, Riverside goes from 14 reviews to 158 in a quarter, more than 10 times where it started. Its newest review is never more than a day or two old.
Each Monday, the desk checks Riverside for three things. Reviews that landed on the wrong profile point to a routing error.
Any review without a reply goes into that day's queue. A topic that shows up more than twice in a week, such as parking or wait times, goes to the site manager.
Expect a few critical reviews in the mix. An honest all-patient ask brings in some 3-star posts, and that's fine. We'd take 158 reviews at 4.4 stars over 14 reviews at 5.0 for any location.
Drop the catch-up push and keep the per-visit trigger running. A good sign that Riverside is ready is a month of new reviews close to your other sites of similar size. Then point the desk at the next site on the dashboard with the thinnest profile.
Automated Review Requests in Curogram send a text after each completed visit. Your visit data in Tebra sets the trigger.
Each request links to the Google profile of the location where the patient was seen. A visit at your newest site builds that site's count, and a visit at the flagship builds the flagship's.
Every patient with text consent gets the same short request, so your volume grows with your real patient traffic. Messages hold no visit reason, diagnosis, or provider notes. Each text names the office the patient visited, so they know which location they're reviewing.
Your reputation desk gets a few tools that matter most for a group:
Based on our internal data, one multi-location practice earned 1,064 new five-star reviews in 3 months with these post-visit requests. Its five-star rate held at about 90%.
Reviews and patient texting live in one system with one login. The desk doesn't need to export a list from Tebra, upload it somewhere else, and hope the location codes match.
Your founding site earned its reviews over years of steady visits. Your newer sites see real patients every day, too. They're missing the habit that turns those visits into reviews on the right profile.
We'd treat a location's review count like its schedule. Someone checks it every week, it has a target, and a gap gets a plan within days. A site that went 19 months without a new review shouldn't happen in a group that tracks no-shows to the decimal.
Tebra holds the visits. Curogram turns each completed one into a request for the right location and puts every site's numbers on one screen. The acquired site gets a 90-day push, and the flagship keeps its pace.
Try one test tonight. Search for your newest location's name on your phone, the way a new patient would. Count the reviews, and check the date on the newest one. That listing is what every prospective patient in that neighborhood sees before they call.
Book a demo with us. We'll audit the review gap at each of your locations and project your 90-day review volume from your actual visit counts.