A review strategy is right for you if patients actively search out your specialty, compare a few practices before booking, and hesitate over a decision that carries real cost or risk. It is wrong for you if you run at capacity, take mostly referrals or emergencies, and gain nothing from a queue of new inquiries you cannot see. Volume is not the point. Fit is.
That distinction matters more this year than last, because the place reviews get read has moved. Google’s AI Overviews and the newer AI Mode increasingly summarize a practice before a patient ever reaches the map pack, and those summaries lean on rating thresholds and recency rather than raw count. A practice with 300 reviews averaging 3.9 stars can now be quietly skipped in favor of one with 60 reviews at 4.7. The old goal, more reviews than the practice down the street, is the wrong goal for how patients actually arrive in 2026.
Who a review strategy is genuinely right for
It fits practices where the patient chooses, deliberates, and pays attention to reputation before the first visit. Think elective and semi-elective care: dermatology, dentistry, orthodontics, fertility, cosmetic procedures, physical therapy, concierge and direct primary care. These patients read reviews the way they read them for a contractor, because the decision is theirs to make and reversible only at cost.
The common thread is discretion. If a prospective patient can plausibly choose you or someone else, and the choice hinges partly on what strangers said, reviews do work that referral relationships and insurance networks do not. A new orthodontist opening a second location has no local reputation yet, so a steady flow of recent, specific reviews is often the fastest credible substitute for word of mouth. The same is true for any practice that has rebranded, relocated, or absorbed a retiring colleague’s patients and needs to rebuild a public track record from something close to zero.
It also fits practices with a specific weakness to correct. A single billing dispute or a stretch of understaffing can leave a lopsided public record that no longer reflects the care being delivered. A deliberate effort to invite feedback from satisfied patients does not erase the bad ones. It restores proportion, and it does so faster than waiting for the algorithm to age old reviews out of view. Recency is now a ranking input in its own right, which means a practice that stopped collecting reviews two years ago is losing ground even if nothing about the care changed.
Who it is wrong for, and why chasing it wastes money
A review strategy is a poor investment for practices that are already full, run on referrals, or treat conditions patients cannot shop for. If your schedule is booked eight weeks out and your new patients arrive by physician referral, more five-star reviews will not add a single appointment you have capacity to take. You would be paying to generate demand you have to turn away.
Consider the practices where this holds. A hospital-based subspecialty that sees only referred patients. An interventional pain clinic booked to capacity. A surgical practice where the surgeon, not the patient, is chosen by the referring doctor. In these settings the patient rarely comparison-shops, and the review is read after the decision, if at all. Effort spent here is better redirected toward referral-source relationships and the intake process, which is where the actual bottleneck sits.
There is a harder case worth naming plainly: some practices should not run an aggressive review campaign because it invites scrutiny they are not ready for. If your front desk is chronically short-staffed and your average wait runs 40 minutes, soliciting reviews at scale will surface that in public, on the record, with your name attached. Reviews are a mirror, not a megaphone. Fix the thing patients would complain about first, then ask them to talk about it. Doing it in the other order is a common and expensive mistake.
What the 2026 shift actually rewards
The practices gaining ground are collecting fewer reviews, more often, with more detail. AI summaries and Google’s local algorithm both favor recent, substantive, specific text over a large static pile, because a review that names a procedure and a clinician reads as more trustworthy than a one-line “great service.” That rewards a steady cadence, roughly a handful of new reviews a month, over a one-time push that ages out and then goes silent.
This is where sorting the fit from the waste gets operational rather than theoretical, and where tools built for medical offices earn their place by tying review requests to actual visit data instead of blasting every patient. One such platform, Review strategy, is built around that timing problem for medical offices specifically, which matters because the compliance line for a healthcare review is not the same as it is for a restaurant. A dental practice can ask a patient to describe their cleaning experience. It cannot solicit anything that reveals a diagnosis, and a blunt “review us” text sent to the wrong patient can do that by accident.
So the honest answer to “should we invest in reviews” is a question, not a yes. Does a stranger’s choice decide whether a patient walks through your door? If yes, a disciplined, recent, specific review habit is now closer to table stakes than an advantage. If no, spend the money where your patients actually come from. The worst outcome is not a low rating. It is pouring effort into a channel your patients were never going to use, while the referral relationships that actually fill your schedule go unattended.