Review velocity: the local ranking factor most businesses ignore

Most owners treat reviews as a score. You have more stars than the shop down the street, so you are winning. That is not how Google reads it. A business with 200 reviews where thirty arrived in the last ninety days looks alive. A business with 200 reviews where the newest is from two years ago looks closed.

How much does review recency actually matter?

More than it used to, and the person who tracks this professionally changed his own mind about it.

Darren Shaw at Whitespark runs the industry's long-standing survey of local ranking factors. He moved review recency from twentieth on that list in 2023 to his personal top five for 2025, and wrote the reason in one sentence:

"The moment you stop getting new reviews, you're going to see your local rankings start to slip."

Joy Hawkins at Sterling Sky documented what that looks like on a real profile. A client's rankings dropped after a Google update with no technical cause anyone could find. The review audit showed the flow had flat lined, and the owner's explanation, quoted in her case study, was that he used to reward staff for getting clients to leave reviews and had stopped. Rankings recovered as the reviews resumed. A second client in the same post, whose reviews were being filtered, had not received a new review in over three years.

That is the pattern in the field. Owners notice a slide and hunt for a technical cause, when the actual change was that they stopped asking. Nothing broke. The flow stopped, and something is always ready to take the slot.

If you want to understand where reviews sit among everything else that affects local ranking, the local pack has its own logic worth knowing before you start optimizing pieces of it.

What does the ranking survey actually say about reviews?

Four separate things, which is the detail that gets flattened in every summary of it.

Whitespark's 2026 Local Search Ranking Factors report, published 6 November 2025, asked 47 local search experts to score 187 factors. Four review entries appear in the top twenty for local pack and Maps results, and they are scored separately because they are separate mechanisms:

For scale, the top two factors in that report are primary Google Business Profile category at 227 and proximity of your address to the point of search at 225. Reviews are not the biggest lever in local search. They are the biggest lever you can still move this month, because you cannot move a searcher closer to your door and you can only pick your primary category once.

Now the honest grading. This is expert opinion, not a controlled test, and Shaw says so himself: the report is a survey of opinions from experts who do not have access to Google's actual algorithm, much of it based on observing what seems to help, and correlation is not causation.

And here is the number to refuse. Secondary summaries of that report compress it into a single share, as in "review signals are sixteen percent of the local algorithm." Those figures do not survive checking. The summaries disagree with each other on the review and on-page numbers, and the chart they claim to be reading renders in the browser rather than in the page source, which means most of the people quoting it never read it. Even the real chart is a weighting of opinion. A share-of-algorithm percentage for review signals is a number about a survey, quoted as though it were a number about Google.

Use the ordering. Ignore the percentages.

How often should I be getting new reviews?

The honest answer is not a fixed number. It depends entirely on your competition.

Shaw's method is the most useful thing written on this, and it takes about twenty minutes to run:

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

Hawkins gives the same guidance from the case study side: if competitors are getting new reviews every week, you should be too, and in a smaller market once a month is probably fine, but you never want to stop.

This beats any general benchmark, because a barber shop in a small town and a dental practice in a competitive metro need completely different cadences. Your competitors have already done the research for you. Re-run it quarterly.

What does that look like in actual numbers?

What happens if I get a bad one?

This is the fear that stops most businesses from asking at all, and it is backwards.

"Getting a negative review is actually better than getting no new reviews at all. Review recency will increase your rankings regardless of whether the new review is positive or negative."

That is Shaw again. The recency signal does not screen for sentiment before it counts.

There is a second effect that matters more than the ranking. A business that never asks collects reviews only from people motivated enough to seek out the form, and unhappy people are far more motivated than happy ones. Not asking does not protect your rating. It hands your rating to the angriest customers you had.

The full case for asking everyone, including the arithmetic behind it, is worth reading before you decide.

Why does asking in batches fail?

Shaw names this pattern specifically as a common mistake: businesses blast requests to hundreds of customers at once, get a cluster of new reviews, and then get none for another six months.

Two things go wrong, and there is a third that can cost you the profile.

The reviews arrive at once and then stop, which is the opposite of the steady signal the survey scores at number fourteen. And you are asking about a visit from months ago, so response rates fall and the reviews you get are vague.

The third is enforcement. Google's rating manipulation policy names content exhibiting unusual volumes or patterns of review contributions as a violation in its own right. A silent profile that suddenly collects forty reviews in a week is that pattern, in Google's own words. The downside is a filtered batch or a posting restriction, arriving exactly when you finally started asking.

How do I build a cadence that survives a busy month?

The system has to work when you are slammed, because that is exactly when it stops.

Tie the ask to something that already happens. The checkout, the followup text, the invoice, the appointment reminder. If asking is a separate task somebody has to remember, it dies in week three.

Make it one tap. Use the review link Google generates from your profile rather than a hand built URL, because the generated link survives profile merges, rebrands and address changes and a hand built one breaks silently. One detail catches people out: the reviews QR code can only be generated on a computer browser, not on a phone.

Give the team a reason to keep asking. There is a compliant way to do this and a way that violates Google's policy, and the difference is specific enough that it is worth getting right before you build the incentive.

And know the rules for each platform you collect on, because they differ more than people expect. Yelp takes a different position from Google on soliciting reviews, and getting that wrong can cost you the reviews you worked for.

Where does this argument break down?

Three places, and the third one is the one nobody warns you about.

When the map pack itself is shrinking. Sterling Sky's 2026 field data, using Jepto and Places Scout, documents a contracting local results page. AI powered local packs appear on roughly 7% of tracked keywords, show one or two businesses instead of three, and carry no call buttons. Across 322 markets, 88% had fewer unique businesses in the AI pack, and the totals were 5,943 against 18,330, about 32% as many. Local pack ads went from about 1% of mobile reports in early 2025 to about 22% by December 2025. Winning velocity gets you into a smaller room than it did two years ago. It is still the room you have to be in.

When the action you care about is vanishing anyway. The same research found clicks to call from Google Business Profiles declining even for profiles holding stable rankings, across 179 profiles at 34 US law firms over two years. Website clicks did not fall the same way. If your business lives on the call button, ranking is necessary and no longer sufficient.

When velocity is not your constraint. If you already collect more new reviews than everyone above you and the position has not moved, reviews were not the problem, and twenty minutes of counting told you so.

What to do this week

Search the term you most want to rank for. Count the reviews the top three collected in the last ninety days.

Run the five step arithmetic above with your own numbers, including step four. Knowing the target is unreachable is as valuable as hitting it.

Write down two numbers where you will see them monthly: new reviews in the last thirty days, and days since your last review.

If they are collecting and you are not, that gap is your ranking problem, and it is one of the few you can start fixing today without spending anything.

If you are a restaurant watching competitors hold positions you think you deserve, review cadence is usually part of it, though it is rarely the only reason a worse restaurant outranks you.

Questions about your review cadence?

Email me at eric@seod.com with your business name and the search term you most want to rank for. I will run the competitor count myself and send back what their cadence looks like against yours, including whether your customer volume can support the target.

I answer these personally. No pitch attached, and no followup sequence. If your reviews are fine and something else is your problem, I will tell you that instead.

Or keep reading more on reviews and reputation.