Someone within a few miles of your clinic just typed "medspa near me." She looked at the three results Google put in front of her and did not scroll. Whoever was in that block got the click, the call, and most likely the appointment.
If your practice was not in it, none of your clinical skill entered the decision. You were not compared and passed over. You were never in the running.
Most owners hear that as a marketing problem. It is closer to arithmetic, and reviews are the variable.
How much do Google reviews affect local ranking?
More than most practice owners assume, and the weight is increasing.
BrightLocal's 2026 Local Search Ranking Factors study puts review signals at roughly 20% of local pack ranking weight, up from 16% in 2023. Reviews are one of the few factor categories that gained influence over that period while others, notably link signals, declined.
The largest single factor is proximity, which Whitespark's 2026 data places at around 55% of map pack weight. That one is geography and you cannot optimize it. Which makes reviews the largest ranking input you actually control.
The downstream effect is measurable. Web Tonic's 2026 benchmarks found that med spas with 100 or more Google reviews receive 3.2 times more clicks from local search than practices with fewer than 20. Position matters too: first place in the local pack captures roughly 24% of clicks, second place about 13%, third about 9%.
Reviews are the largest ranking input you actually control.
Is it better to have more reviews or newer reviews?
Both, but recency is the underrated half.
A profile earning 60 reviews over the past twelve months will frequently outrank one holding 200 reviews that stopped arriving three years ago. Google treats a steady stream as evidence that a business is active and operating. It treats a stagnant total as a snapshot that may no longer be accurate.
Prospective patients apply the same logic without being taught to. A 4.9 average where the newest review is eight months old creates hesitation rather than confidence. People check dates now.
This changes the objective. You are not chasing a number. You are building a flow that does not stop, which means the mechanism matters more than any one push. Competitors in most mid-size markets carry somewhere between 75 and 300 reviews with averages above 4.5, but a practice consistently adding 10 to 20 per month often outranks a larger stagnant profile.
Why do good med spas still have 11 reviews?
Almost never because patients are unhappy. Three reasons, roughly in order of frequency.
The ask depends on someone remembering
Front desk staff are collecting payment, rebooking, handing over aftercare instructions, and answering the phone, often with another patient waiting. The review request is the item that drops. It drops hardest on your busiest days, which are exactly the days it would have produced the most reviews.
This is not a discipline problem and reminders will not fix it. It is a missing process.
The timing is wrong
Aesthetic patients move through a satisfaction curve that most industries do not have. Enthusiasm is high immediately after treatment. It often dips somewhere in the following week during swelling, redness, or the adjustment period. Then it climbs again as results settle and become visible.
A request handed over at checkout arrives before the patient can evaluate anything. A request fired automatically on day four can land squarely in the dip. Timing needs to vary by treatment, not run on one universal delay.
Nobody owns it
When it is everyone's responsibility it is no one's. There is no owner, no target, and no way to notice when it stopped happening.
What does automating review requests actually involve?
Stripped of vendor language, a review system is four decisions.
- Trigger. The completed appointment fires the sequence, not the booking. A no-show should never generate a review request.
- Delay. Set per treatment type rather than globally, so the request lands when results are visible instead of during recovery.
- Channel and fallback. SMS generally outperforms email for this, with an email fallback for non-responders and a suppression rule so a patient who declined once is not asked again at the next visit.
- Scope. Every patient receives the same request. Not a filtered subset.
That last decision is the one most often compromised, and it is the one that carries legal weight.
When the request is automated, timed by treatment, and sent to every patient, reviews become a flow instead of a favor somebody has to remember on a busy Friday.
Is review gating illegal?
Review gating means asking how the visit went, then sending satisfied patients to Google while routing dissatisfied patients to a private feedback form. It looks like attentive service. It is not permitted, and the consequences have sharpened considerably.
Google's policy prohibits selective solicitation. An April 2026 update went further, adding explicit bans on review quotas and on directing staff to solicit reviews that name a specific employee. Incentives of any kind remain prohibited, including discounts and free products, whether you ask for a positive review or simply a review. Enforcement is running at scale, with Google removing hundreds of millions of policy-violating reviews annually.
The federal layer is newer. The FTC's Rule on the Use of Consumer Reviews and Testimonials (16 CFR Part 465) became enforceable in October 2024, carrying civil penalties above $50,000 per violation, and the first warning letters went out in December 2025. The rule covers fake reviews, undisclosed insider reviews, incentives conditioned on sentiment, and certain forms of review suppression. The same truth in advertising principles reach beyond text, which is why a before and after photo is treated as a results claim rather than as decoration.
Practical guidance if you are evaluating a vendor: ask whether every patient receives the same link. If the answer takes a paragraph, you have your answer. Look for request logs showing who was asked and when, and get written confirmation that the workflow complies with 16 CFR Part 465.
There is a compliant version of the same instinct, and it works better anyway. Ask everyone. Run service recovery as a parallel channel rather than a filter placed in front of the public one. You still hear from the unhappy patient quickly. You simply do not get to decide whether anyone else hears from her.
Volume also solves the problem that gating pretends to solve. A practice with 150 honest reviews at 4.7 stars converts better than one with 11 flawless ones, because a perfect record with no volume reads as either new or curated.
How does HIPAA affect med spa reviews?
This is the constraint that makes aesthetic review management different from a restaurant's, and it is routinely handled badly.
You cannot publicly confirm that an individual is a patient. That shapes both how requests are sent and, more importantly, how you respond. A public reply that references a treatment, a visit date, a provider, or that simply acknowledges the person as a patient can create exposure that most local businesses never face.
Responses should be written to address the concern without confirming anything about the individual, with the actual resolution moved to a private channel. Every response template your practice uses should be built with that constraint from the start rather than adapted from generic reputation management advice.
Do ChatGPT and Gemini recommend med spas?
They do, and this is the part most practices have not accounted for yet.
A meaningful share of "who should I go to" no longer starts on Google. BrightLocal's 2026 data tracked consumer use of AI for finding local businesses rising from 6% to 45% within a single year.
These platforms behave differently from a search engine. Google returns a ranked list and leaves the judgment to the user. An AI assistant assembles a picture of your business from many sources, then decides whether it trusts you enough to name you. Usually it names two or three businesses total, which is a far narrower opening than a page of results.
SOCi's 2026 Local Visibility Index measured how frequently locations actually get recommended. Around 35.9% appeared in Google's local three-pack. Gemini recommended roughly 11%, Perplexity 7.4%, and ChatGPT 1.2%.
Read that carefully rather than dramatically. SOCi studied large multi-location brands, and their own research notes that AI systems often favor independent single-location businesses, whose hours, addresses, and business data tend to be more consistent. An independent med spa is not competing under the same conditions as a national chain. The directional finding is what matters, and it is well supported: strong Google rankings do not carry over automatically. Studies consistently find only partial overlap between businesses winning local search and businesses appearing in AI recommendations.
The platforms also disagree with each other. An analysis of more than 14,000 AI citations found Gemini leaned heavily on business websites while ChatGPT drew far more from Reddit and directories, with the two naming the same top business only about 4% of the time. Monitoring one platform tells you very little about the others.
The practices getting named are not the ones with the cleverest content. They are the ones whose information agrees with itself everywhere an AI system looks.
How do you get recommended by AI search?
Less exotic than it sounds. The winning inputs are mostly consistency and corroboration.
- Data consistency everywhere. Matching name, address, phone, and hours across Google, Yelp, industry directories, and your own site. Inconsistency reduces the confidence these systems have in your listing, and confidence is what determines whether they name you.
- Presence beyond Google. Reviews on Google feed Gemini, which is grounded in Google Maps. Third-party platforms and directories feed ChatGPT and Perplexity. A practice strong on one and absent elsewhere gets recommended by one and ignored by the rest.
- Structured data. LocalBusiness schema on your site tells these systems explicitly what you do and where.
- Current content. Pages that have not been updated in over six months carry a growing disadvantage in citation pools. Treat your site as a living asset rather than a completed project.
- Reviews, again. They function as a trust input for AI recommendation, not only as a ranking factor for Google.
Common questions
How many Google reviews does a med spa need?
There is no fixed threshold. Local pack competitors in most mid-size markets carry between 75 and 300 reviews with averages above 4.5. Velocity matters more than the total: adding 10 to 20 per month consistently will outperform a larger number that stopped growing.
Can I offer a discount for leaving a review?
No. Google prohibits incentives of any kind in exchange for reviews, whether or not you ask for a positive one. The FTC rule adds federal exposure on top of platform penalties, which can include review removal or profile suspension.
Can I ask patients to remove a negative review?
You can respond and attempt to resolve the underlying issue, which is good practice. You cannot pressure, threaten, or incentivize removal, and the FTC rule specifically addresses suppression tactics. If a review violates Google's content policies, the correct route is to report it rather than to pursue the reviewer.
Will fixing reviews get me into ChatGPT results?
It helps but does not do it alone. Reviews are one trust input among several. Data consistency across platforms, third-party presence, structured data, and current content all contribute, and the platforms weight those inputs differently from one another.
Get found, get booked
Two searches now decide whether a patient discovers your practice. One rewards proximity and reviews. The other rewards consistency and corroboration across every source it can find. Both sit downstream of infrastructure you either built or did not.
The gap between 11 reviews and 300 is the most visible symptom, but it is not really about 289 missing reviews. It is one practice that installed the system competing against one that did not, in an environment where the difference compounds every month.
H Marketing Agency builds review and visibility systems for med spas and aesthetic practices, with most of our work concentrated in Orange County and Southern California. Compliant automation, cross-platform consistency, and the tracking to show what changed.
If you want a straight look at where your practice stands in local search and AI recommendations, book a free consultation or call (949) 877-7987.