Reputation management isn't damage control after a bad review. It's a consistent, ongoing system for generating real reviews and responding to all of them, built before you actually need it.
Ask most practices about their reputation management strategy and you'll get a version of \"we ask patients to leave a review sometimes.\" That's not a strategy, it's a hope. And it shows in the results: most practices we audit have a review profile that's either stale, months since the last one, or lopsided, mostly older reviews with no recent activity to show patients the practice is still active and cared for.
Why review recency matters more than review count
A practice with 200 reviews from three years ago reads less trustworthy to both patients and Google than a practice with 40 reviews, several from the last month. Recency signals that the practice is currently operating well, not that it operated well once. Google's local ranking algorithm weighs this too, recent review velocity is a real, measurable factor in local pack visibility as part of our broader GMB service, not just a nice-to-have.
The system, not the ask
A real reputation management approach has three parts working together, not one. First, a consistent request process, ideally automated, that reaches every patient at the right moment, typically right after a positive interaction, not weeks later when the specifics have faded. Second, active monitoring across every platform that matters for your specialty, not just Google, since specialty-specific directories and platforms like Healthgrades or RateMDs carry real weight depending on your market. Third, a response protocol for every review, positive and negative, since an unanswered negative review reads as unaddressed, and an unanswered positive review is a missed chance to reinforce specific, searchable detail.
What actually makes a request effective
Timing matters more than wording. A request sent within a day or two of a positive visit, while the experience is still fresh, converts meaningfully better than one sent a week later as part of a batch. The best-performing systems we've seen tie the request to a specific, positive moment, right after a successful procedure or a visit where the patient explicitly said something went well, not a blanket request sent to every patient regardless of how the visit went.
Handling a negative review without making it worse
The instinct to get defensive is understandable and almost always counterproductive. A calm, specific, non-defensive response, acknowledging the concern without arguing the clinical details publicly, reads well to everyone else reading it later, which is really who the response is for. HIPAA considerations matter here specifically: never confirm that someone was a patient, and never discuss any specifics of their care in a public response, regardless of what they've disclosed themselves.
Where AI search changes this
Reviews increasingly feed directly into how AI tools like ChatGPT and Perplexity describe a practice when a patient asks for a recommendation. A thin or inconsistent review profile doesn't just hurt your Google ranking anymore, it can mean an AI model has less confident, less specific information to draw from when deciding whether to name you at all. This is part of why we treat reputation management as connected to GEO and LLM SEO work now, not a separate line item.
What a properly built system actually produces
Practices that implement this consistently typically see two measurable changes within a few months: a steadier flow of new reviews rather than sporadic clusters, and a noticeably higher average rating, since patients prompted right after a good experience tend to leave more positive reviews than those who only think to write one after something's gone wrong.
Getting started without overhauling everything at once
You don't need every piece running on day one. Start with a consistent request process tied to a specific positive moment in the patient journey, then layer in monitoring and response protocols once that's genuinely consistent. A partial system running reliably beats a complete system that only runs when someone remembers to check it. If you're weighing this against other priorities, our SEO pricing breakdown covers where reputation management typically fits in a realistic budget.
Multi-location groups need a slightly different system
A group with several locations needs review requests and monitoring set up per location, not one blended, practice-wide system. Patients search and compare location-by-location, and a location with a thin or outdated review profile drags down that specific location's visibility regardless of how strong the group's other locations look. We typically build this out location by location for exactly that reason, and the platforms that matter most for this shift by market too, our Canada and Australia pages cover which review platforms carry real local weight in each.
Quick answers
Q.How many new reviews should a practice aim for each month?
This varies by patient volume and specialty, but consistency matters more than a specific target number, a steady trickle of recent reviews outperforms a large batch followed by months of silence.
Q.Should we ever ask a patient to remove or edit a negative review?
Directly asking a patient to change a review can violate platform policies and often backfires. A thoughtful public response, and privately addressing the underlying issue if you can identify the patient appropriately, is the safer path.
Q.Does responding to positive reviews actually matter, or just negative ones?
Yes, genuinely. A specific, warm response to a positive review reinforces detail for future readers and signals an actively managed profile, which matters to both patients and search algorithms.