Somebody typed "how much are Google reviews worth for your marketing" into Google and sent me the answer. Google's AI Overview gave a confident, specific, well formatted reply, including a price list for what one review is worth in dollars.
I went and looked at where those numbers came from. The dollar figures come from a Reddit thread.
This post is not about reviews being overrated. I have already written that reviews matter, and I stand behind it. This is about what happens to a number once it is separated from the thing it was measured on, and about the fact that the separation now happens somewhere your patients can read it.
What the answer said
The part that catches the eye is a per industry price for a single five star review.
- Coffee shop or bakery
- Reddit, r/localseo
- $5
- Restaurant
- Reddit, r/localseo
- $25
- Barber or nail salon
- Reddit, r/localseo
- $50
- Auto detailing
- Reddit, r/localseo
- $100
- High ticket home services
- Reddit, r/localseo
- $200
Those are the bottom ends of the ranges given. The top ends run to six hundred dollars and beyond. The answer also offers a precise figure of $78.34 for a single review, which it attributes to the same discussion.
A number with two decimal places feels researched. This one is a figure somebody typed into a forum.
I want to be fair to Reddit here. A practitioner estimating what a review is worth to their own business, out loud, in a thread about exactly that, is doing something reasonable. The problem is not the thread. The problem is the thread becoming the answer.
The one real study in there
Buried in the same answer, next to the forum pricing, is a genuine piece of research, and it is worth separating out.
5 to 9%is the revenue increase associated with one additional star, in the study that actually measured it.
That is Michael Luca, Harvard Business School working paper 12-016, "Reviews, Reputation, and Revenue: The Case of Yelp.com". He matched Yelp ratings against restaurant revenue filed with the Washington State Department of Revenue, for Seattle restaurants between 2003 and 2009, using the way Yelp rounds its star ratings to get at cause rather than correlation.
Two details from that paper matter enormously and almost never survive the retelling.
The effect was concentrated among independent restaurants. Chain affiliated restaurants showed no ratings effect at all. If you are an independent practice, that is the half of the finding that applies to you, and it is good news.
And it is restaurants, in one city, in a period ending in 2009. It is the best evidence available on this question, and it is still a long way from a veterinary practice in 2026.
How 5 to 9 becomes 5 to 44
Here is the specific move worth watching, because once you see it you see it everywhere.
The AI Overview reports that "higher star ratings drive anywhere from 5% to over 44% more revenue", and attributes that to "SOCi and Harvard Business School studies".
The 5 is Luca's floor. The 44 is from somewhere else entirely. Stitch them together and you have a range that technically contains a real finding while being five times larger at the top than anything that finding supports.
Nobody lied. Two sources got merged into one sentence, and the sentence is now the answer to a question a practice owner asked about their own money.
The other number in there
The same answer says being in the top three local results earns 126% more traffic than lower ranked competitors.
I went looking for the study. Most trails lead to SOCi. Some lead to a First Page Sage click through report instead. And across the sources repeating it, the thing being compared changes: sometimes it is positions four to ten, sometimes everything outside the top three, sometimes businesses not listed at all.
Those are three different claims. A lift measured against unlisted businesses is not the same as a lift measured against position four, and the gap between them is the whole question.
A percentage without a stable baseline is not a measurement. It is a shape.
Sorting the answer out
Same answer, five claims, graded on whether you could defend them to a client who asked.
- A review is worth $5 to $600
- Reddit thread
- Unsourced
- One star is worth 5 to 44%
- Two studies merged
- Overstated
- Top three gets 126% more
- Baseline unstable
- Unusable
- One star is worth 5 to 9%
- Luca, HBS 2011
- Real
- 97% of consumers read reviews
- BrightLocal 2026
- Survey
That bottom one deserves a word. BrightLocal's Local Consumer Review Survey, published 11 February 2026, is real, dated and transparent about its method. It is also a survey, which means it measures what people say they do, not what they did. That is still useful. It is just a different kind of evidence from revenue filings, and it should be labelled as such rather than quoted as if somebody watched them.
Why this is different from the usual complaint
Bad statistics in marketing blogs are not new. Something has changed about where they end up.
A dubious figure used to live on page four of a search result, in an article with a visible author and a visible date, which you could weigh up. Now it arrives at the top of the page, in Google's own voice, with the citations collapsed into small grey links most people never click.
The forum post and the Harvard working paper appear in the same answer, formatted identically, and the only thing distinguishing them is a link you have to go and press.
That is the part worth understanding, and it cuts both ways. It is how your own future patients will read about you, and it is how you will read about your own marketing.
What to do about it
- When a number is quoted at you, ask what was counted and over what period. Not who said it. What was counted. "One more star is worth 5 to 9 percent" is a different kind of statement from "a review is worth $78.34", and the difference is visible in ten seconds.
- Be suspicious of false precision. $78.34 is less trustworthy than "somewhere between five and fifty dollars", because the second one is honest about its own uncertainty.
- Check the baseline on any percentage lift. Compared to what? If the source does not say, the number cannot be used.
- Separate measured from reported. Revenue filings and survey answers are both evidence. They are not the same evidence.
- Click the citations in an AI answer before you repeat it. That is the entire defence, and it takes under a minute.
What is actually true about your reviews
Nothing in this post changes the underlying advice, and I want to be clear about that rather than leave an impression I did not intend.
Reviews matter. Google says so in its own documentation for local ranking, where more reviews and positive ratings can help. The best study available says an extra star moved revenue meaningfully for independents. People read them before choosing you.
What does not exist is a price tag per review for your category. If somebody hands you one, they got it from a forum, possibly via an AI answer that did not make that obvious.
The honest position is that reviews are clearly worth having, the size of the effect is unknown for your specific practice, and anybody who tells you otherwise with two decimal places is guessing. Mine included.