How to benchmark your review cadence against competitors

There is no universal number of reviews per month. A barber in a small town and an orthodontist in a dense metro need completely different cadences, and any benchmark that ignores that is guessing.

Your competitors have already solved this for you. They are running a live experiment in your exact market, against your exact customers, and the results are published on their profiles for anyone willing to count.

Why benchmark instead of using a published average?

Because no published average exists for this, and the ones being sold to you are not measurements.

Google publishes no rate. The Google Business Profile performance report gives you views, searches, calls, direction requests, website clicks, messages and bookings for your own profile. It does not give you a position, a competitor set, or a category average. Search Console has no local pack dimension either. So an "industry benchmark for reviews per month" cannot be derived from platform data by anybody, including the companies selling dashboards that display one.

Google says this itself, in the plainest language it uses anywhere. Its guidance for site owners warns readers to be wary of third party tools that promise ranking success or claim to use internal Google metrics, and states that no third party tool has access to its internal ranking or AI systems. A review scorecard that grades you against a secret industry weighting is grading you against an invented number.

The competitor count avoids all of that, because it measures something both you and the competitor can see: reviews with dates on them, on public profiles, in your market. It is the only benchmark in local SEO that is genuinely observable.

How do I actually run the count?

By hand, in about twenty minutes, once a quarter.

Open Google Maps and search the phrase a real customer would type. Not your brand name. The category plus the place, the way it comes out of a person's mouth.

Take the top three results that are not you. For each one, open the reviews tab and sort by newest. Then scroll and count how many reviews carry a date inside the last ninety days. Google shows relative dates, so anything reading "a week ago" through "3 months ago" is in your window.

Write down three numbers. Average them. Divide by three again to get a monthly rate.

Shaw's rule turns that into a target:

"How often are your top competitors getting new reviews? If the answer is twice a month, you should also aim for that, plus one."

Joy Hawkins of Sterling Sky frames the same thing in operating language: if competitors are getting new reviews every week, you should be getting new reviews every week as well, and in a less competitive industry or a smaller market once a month is probably fine. What she says for certain is that you do not want to stop getting new reviews.

Shaw names one tool in that piece, Pleper's Chrome extension, which returns average, top and lowest review counts among the businesses ranking for a Maps keyword if you would rather not scroll. The manual count still beats it for cadence, because tools report totals and totals hide a flat line.

Now count your own last ninety days the same way. The gap between the two numbers is the actual size of the problem, and it is usually smaller than owners fear or larger than they hoped. Either way it is a number instead of a feeling.

What does the count look like with real numbers?

Here is a full run, with figures you can replace with your own.

A three location dental practice benchmarks the term that matters most in its main market. The top three profiles that are not the client collect, over ninety days, 22, 14 and 9 reviews.

Total is 45. Divided by three, that is 15 reviews per competitor per ninety days, or 5 a month. Shaw's rule puts the target at 6 a month.

Six a month divided by four weeks is 1.5 a week, which rounds to a weekly quota of two.

Now the client's own count: 4 reviews in ninety days, which is 1.3 a month. The gap is 4.7 reviews a month, and it has been that gap for two years, which is the actual finding.

One more pass tells you where the ceiling is. The leader is at 22 per ninety days, or 7.3 a month. Matching the average makes you competitive with the pack. Beating the leader takes 8 a month, which is two a week and a spare.

Note what the arithmetic does not say. The leader also holds 210 total reviews against the client's 96, and no realistic cadence closes a 114 review gap this year. That is fine. The signal Shaw and Hawkins both describe is the rate and the recency, not the total. You are trying to be the profile that is obviously alive, not the profile with the biggest number.

Which competitors should I be counting?

The ones ranking above you for the search that matters, not the ones you think about at night.

This trips people up constantly. The restaurant you consider your rival may not be in your map pack at all. Meanwhile the place you never think about is sitting in the third slot collecting four reviews a week.

Benchmark against the businesses occupying the position you want, not the ones occupying your attention.

Run the count separately for each search term that materially drives business. A dental practice competing on both "dentist" and "emergency dentist" can face two different sets of competitors with two different cadences. A restaurant may find one set for the category term and a different set entirely for daypart searches like brunch or late night, which is also a reminder to make sure your services and products are listed correctly in the first place.

Repeat quarterly. Cadence is a moving target. A competitor who hires an agency in March will look very different in June, and you want to find that out from your own count rather than from a ranking drop.

What do I do with the number once I have it?

Turn it into a weekly quota, not a monthly total.

This is not a preference. Whitespark's 2026 Local Search Ranking Factors report, in which 47 local search experts scored 187 factors, lists "Sustained Influx of Reviews Over Time (rather than bursts)" as a factor in its own right at number 14 among local pack signals, separately from "Recency of Reviews" at number 11 and quantity of reviews with text at number 9. The survey is expert opinion rather than test data, and Shaw says so himself, but the shape of the finding matches what practitioners see: the pattern of arrival is treated as its own signal.

Monthly targets get met in the last four days of the month, which produces exactly the batching pattern you are trying to avoid. Shaw names that anti-pattern directly: requests sent every six months make a spike and then a flat line, and the flat line is what Google sees for most of the year.

So take your target, divide by four, and make that a weekly number somebody owns. Three a week is a real operating instruction. Twelve a month is a wish.

Then decide where in the customer's experience the ask happens, because timing changes response rate more than wording does. The right moment is usually earlier than owners assume and closer to the visit than feels polite.

And give the team a reason to keep asking after week three. There is a compliant way to build that incentive and a way that violates Google's Rating Manipulation policy, and the difference is specific enough to get right before you announce anything to staff.

What does the count tell me besides cadence?

More than the number itself.

Read the actual text of the last twenty reviews on the top competitor. You will see which parts of the experience customers volunteer without prompting. That is free product research, and it tends to be more honest than anything a customer says to your face.

Look at response behavior too. Does the owner answer? How fast, and in what tone? A competitor answering every review inside a day is signaling something to customers, and whether you need to match that is a decision worth making deliberately.

Watch for the pattern that means somebody is running a filtered flow: long stretches of nothing, then a tight cluster of five star reviews with no text. That is a business pushing in batches, and it tells you the position is more takeable than it looks. It is also a profile carrying risk, because Google's Rating Manipulation policy names content exhibiting unusual volumes or patterns of review contributions as a violation on its own.

Note the language customers use for the category. If everyone in your market describes the thing the same way and your profile uses your internal terminology, that gap is worth closing on your website, and it is one of the things that determines whether an AI answer mentions your business when someone asks for a recommendation.

Where does this benchmark break down?

Three places, and the first one costs people a quarter.

When the gap above you is proximity, not signal. In the same Whitespark survey, proximity of the address to the point of search scores second among local pack factors and primary category scores first, both above every review factor. If the business beating you is four blocks closer to the searcher and sitting in the exactly matching category, review cadence narrows the gap and does not close it. Run the count anyway, then check the category and the map pin before you spend a quarter on reviews.

When the count is noisier than the decision. Google displays relative dates, so "3 months ago" is a bucket rather than a date. Your ninety day count is an index, not a census. Count the same way every quarter, compare your own series over time, and do not treat a difference of one or two reviews as a finding.

When seasonality is doing the work. A landscaper counted in February and a tax office counted in June will both produce a number that means nothing. Count in a normal month for your category, and note the month on the sheet so next quarter's comparison is honest.

What to do this week

Do the count. Three competitors, ninety days, one number each.

Put your own ninety day count next to theirs on the same piece of paper.

Convert the average to a monthly rate, add one, divide by four, and write the weekly number on the schedule where the team already looks.

If you are behind, name the person who owns the weekly quota. If you are ahead, put a reminder in the calendar for ninety days out and go work on something else.

Keep the sheet. The whole value of this shows up on the second and third run, when you can see whether a competitor accelerated.

Questions about where you stand?

Email me at eric@seod.com with your business name, your city, and the one search term you most want to own. I will run the ninety day count on your top three competitors myself and send you the four numbers, theirs and yours, with nothing else attached.

It takes me about fifteen minutes and it is the fastest honest answer you will get about whether reviews are your problem. If the count says your cadence is fine, I will say so and tell you where I would look instead.

Otherwise keep reading the reviews and reputation library.