In our June 2026 scan of 527 US dental practices, the median practice had 250 Google reviews at a 4.9-star average, and 96.7% already sit above 4.3 stars, the level ChatGPT-recommended locations averaged in SOCi's 2026 index. For most practices, review count and rating are close to solved. If your listing still isn't showing up in AI answers, review volume is unlikely to be why.
"How many reviews do I need" is usually the wrong question, because almost every practice in our sample already clears the bar that gets cited for AI recommendations. The more useful question is where your own numbers sit against practices like yours, and whether reviews are actually the thing holding your visibility back or just the thing that's easiest to worry about. This page gives you the benchmark; further down, it also tells you honestly what the benchmark does not prove.
How many Google reviews does the typical practice have?
The median practice we scanned has 250 Google reviews at a 4.9-star average. A quarter of practices have fewer than 102 reviews; a quarter have more than 474, and the busiest tenth have topped 764.
| Percentile | Google reviews | Star rating |
|---|---|---|
| Fewest (min) | 1 | 2.9 |
| 25th percentile | 102 | 4.8 |
| Median | 250 | 4.9 |
| 75th percentile | 474 | 5.0 |
| 90th percentile | 764 | 5.0 |
| Most (max) | 2,972 | 5.0 |
Two things are worth separating here. Review count spreads out a lot: a practice at the 90th percentile has more than 7 times the reviews of one at the 25th. Star rating barely spreads at all: three quarters of practices sit at 4.8 stars or higher. That gap matters for what comes next, because rating is close to a ceiling effect across this sample, so it's a weak tool for telling practices apart, no matter which AI engine is doing the sorting.
Source: Citevio dental practice web anatomy study, June 2026, n = 523 of 527 practices scanned in 7 US metros plus 9 smaller nearby towns. Full dataset and CSV: citevio.com/data.
Is my star rating good enough for AI to notice me?
Probably. In SOCi's 2026 local visibility index, the locations each engine actually recommended averaged 4.3 stars on ChatGPT, 4.1 on Perplexity and 3.9 on Gemini. In our scan, 96.7% of practices sit at or above 4.3 stars and 98.7% at or above 4.1, so most practices reading this are very likely already inside every one of those ranges.
| Engine | Avg rating of the locations it recommended | Practices at or above that average | Share of 523 |
|---|---|---|---|
| ChatGPT | 4.3★ | 506 | 96.7% |
| Perplexity | 4.1★ | 516 | 98.7% |
| Gemini | 3.9★ | 522 | 99.8% |
Google's own guidance on local ranking says plainly that "more reviews and positive ratings can help your business's local ranking," without spelling out an exact number or cutoff. That fits what we found: a soft, saturated signal rather than a hard gate. If your practice is anywhere near the median in the table above, star rating is not the lever to pull next.
Sources: SOCi 2026 Local Visibility Index, reported by Search Engine Land, January 2026; Google Business Profile Help, "Improve your local ranking on Google", checked August 2026.
If my reviews are fine, why doesn't ChatGPT recommend my practice?
Reviews are close to a solved problem across almost the whole sample, so they don't look like what's holding most practices back. Across the same 527-practice scan, the pattern that stood out among the practices that were not named was machine-readable schema: 53.9% had no LocalBusiness or Dentist schema on their site at all. We did not test whether adding it changes the outcome.
We cover that finding in full, including why schema looks like foundational infrastructure rather than a guaranteed lever, on why AI recommends some dentists and not others. This page exists to answer a narrower question, what's a normal review count and rating, and that page answers a different one, what do the rarely-named practices have in common. Read together, the short version is: your reviews are probably fine, and the more useful thing to check next is what an engine can actually read off your site.
What this data does not show
We are not saying review scores don't affect whether ChatGPT or Perplexity names a practice. We have not tested that claim, and we're not going to imply we did. Almost every practice we scanned already clears the star thresholds engines are said to use, so review scores alone don't explain why one gets named and another doesn't.
Testing whether reviews change an AI recommendation would mean splitting the practices each engine actually named into rating and review-count groups and comparing them against the practices it didn't name. Our June 2026 scan only returned a usable ChatGPT reading that named 3 practices and a Perplexity reading that named 18, and nearly all of them already sit in the same top-rated band as everyone else. Dividing 3 or 18 names into buckets doesn't produce a comparison, it produces noise dressed up as a finding, so we chose not to publish one. If a future scan returns enough named practices to test this properly, we will publish that comparison and link it from this page.
Something we can measure and separately have not is what happens after a rating is already good: whether more reviews past a certain point keeps helping, or whether the return flattens out. Our data has the count, not the causal test, so we describe the shape of the distribution above and stop there.
Reviews are one part of what an AI engine sees about a practice, alongside things we did measure directly, like whether a site's robots.txt blocks AI crawlers outright. The checker below reads several of these signals for your own site in under two minutes.
Prefer to question the engines by hand? See how to check what ChatGPT says about your practice.
How we measured this
The sample is 527 US dental practice websites in Charlotte, Austin, Raleigh, Nashville, Columbus, Tampa and Salt Lake City, plus 21 practices in 9 smaller nearby towns, scanned between 6 and 26 June 2026, the same set behind our other web-anatomy studies. For each site we pulled the current rating, review count and photo count from its Google Business Profile. 523 of 527 practices had a rating on file; the remaining 4 did not, so they are simply absent from the numbers on this page rather than counted as a zero or a failure. Where a practice was scanned more than once in the window, the most recent reading is used, and if that reading was itself missing a field, the most recent valid reading for that specific field is used instead.
- A snapshot, not a trend. Every number here carries the June 2026 scan window; ratings and counts move over time, especially for smaller practices where a handful of new reviews can shift the number visibly.
- One reading per practice. We did not track review velocity or recency in this pass, only the count and average on file at scan time.
- Sample, not census. This is 7 metros plus 9 nearby towns, not a national sample. We publish a national figure only once we can read at least 2,000 sites; this study does not meet that bar.
- Engine figures are external reference points, not our own test. The 4.3 / 4.1 / 3.9 star averages above come from SOCi's 2026 Local Visibility Index already used elsewhere on citevio.com. We did not independently verify how precisely, or whether, each engine enforces them.
The full framework behind our scans, scores and city reports is in how we measure AI visibility, and the underlying dataset is free to download at citevio.com/data. If you think a number on this page is wrong, email contact@citevio.com with the domain and what you saw. We would rather be corrected than quoted wrongly.
Common questions
How many Google reviews does a dental practice need?
In our June 2026 scan of 527 US dental practices, the median practice had 250 Google reviews at a 4.9-star average, based on the 523 practices with a rating on file. A quarter had fewer than 102 reviews, and a quarter had more than 474. There is no single number that counts as "enough," but 250 reviews at a high-4-star average is the typical practice, not an exceptional one.
What star rating do ChatGPT, Perplexity and Gemini favor?
In SOCi's 2026 local visibility index, the locations each engine actually recommended averaged 4.3 stars on ChatGPT, 4.1 on Perplexity and 3.9 on Gemini. Treat these as averages of what got recommended, not confirmed cutoffs each engine enforces exactly. In our scan, 96.7% of practices with a rating on file already clear 4.3 stars, 98.7% clear 4.1, and 92.5% clear 4.5.
Does buying reviews help my AI visibility?
No, and it is not worth the legal risk. Google's review policies prohibit paying for reviews, offering incentives or filtering out unhappy patients, and the FTC's rule against fake and paid reviews carries penalties that can reach $53,088 per violation. It is also unnecessary for most practices: 96.7% of the ones we scanned already sit above the 4.3-star average of ChatGPT's recommended locations, so a normal, unfiltered review process is generally enough to clear it.
If my star rating and review count are already good, why isn't my practice recommended by ChatGPT?
Reviews are close to a solved problem across almost the whole sample we scanned, so they don't look like what's holding most practices back. Across the same 527-practice scan, the pattern that stood out among the practices that were not named was machine-readable schema: 53.9% had no LocalBusiness or Dentist schema at all. We did not test whether adding it changes the outcome. We cover that finding on a separate page.