Reputation management for med spas and aesthetic clinics
AI reads every review before it decides who to recommend. We contain the bad ones and build a steady flow of good ones.
A patient skims your reviews. AI reads every word.
Humans check the rating and a few recents. Engines ingest all of it: the one-star meant for the clinic across town, the rant about parking, the complaint nobody answered. To a machine it's all data about you, and it decides whether you get named at all.
We know what machines do with your reviews
We build systems that read the open web, which is how we know review text gets ingested, not skimmed. So our replies are written for two readers at once: the next patient, and the engine deciding whether to name you. Always privacy-safe, because in this vertical the standard angry-owner reply is a violation.
The work
Contain the damage
Every negative review gets a fast, privacy-safe reply. Reviews that break platform rules, or were never about your clinic, get flagged and pursued until they come down.
Build the flow
Every happy patient gets asked at the moment satisfaction peaks. No incentives, no filtering, because that's what the platforms allow and what readers believe.
Keep the record straight
Name, details, photos, and prices made identical everywhere you're listed, so nothing contradicts what a patient or an engine finds next.
Watch everything
New reviews, rating shifts, and competitor movement monitored, so nothing sits unanswered long enough to become part of your record.
The Answer Path
Every engagement runs the same spine, whichever door you came in through.
Baseline
Know where you stand. The free audit maps nine surfaces, scores your visibility, and ranks the top three fixes by impact.
Found
Get named. We ship the pages, structure, and signals that decide whether AI and Google mention you when patients ask.
Chosen and booked
Win the moment. Profiles and reviews that hold up to comparison, and a reply path measured in minutes.
Proven
See it in plain numbers. Mention rate, rankings, review flow, reply times, consults. What moved and what didn't, every month.
What you see each month
One report in plain numbers, and under it the shipped work. Nothing hides in a dashboard you'll never open.
What nobody can promise you
Nobody can remove a legitimate negative review, and anyone promising that is telling you something about themselves. What can come down: reviews that break platform rules or were never about your clinic, and we pursue those until they do. Everything else gets a careful reply and gets outweighed by a steady flow of real ones. That's the honest version of this work, and it's enough to change the picture.
How it starts
Free audit
Nine surfaces, top three fixes ranked by impact.
First 60 days
The committed sprint where the foundation ships.
Month to month
Stay because the report earns it, not because a contract traps you.
If the audit says you’re already in good shape, we’ll tell you that and save you the money.
Frequently asked questions
Can you remove bad reviews?
Not the legitimate ones, and no one can, so treat blanket removal promises as the red flag they are. Reviews that violate platform rules can be reported and sometimes come down. Real ones get a professional reply and get diluted by a steady flow of new, genuine reviews.
Can a review that isn't even about us hurt?
Yes. Engines read text, they don't verify context, so a review meant for another business or a dispute about parking reads as data about your clinic. Those are exactly the ones we flag, and they come down more often than people expect.
Is asking patients for reviews allowed?
Yes, done right. Ask everyone at the moment satisfaction peaks, never pay or trade for reviews, and never screen out the unhappy ones first. That keeps you inside Google's rules and keeps the reviews believable.
How do you respond to a bad review about a treatment?
Without ever confirming the person is a patient. We write replies that sound human, protect the patient's privacy, and show the next reader that you handle problems like a professional. That reader is who the reply is really for.
Do reviews affect AI recommendations?
Directly. Engines read review text to decide which clinics to name for a treatment. Volume, recency, and specific detail all feed the answer.
