Every business recognized by American Business Recognition carries a business recognition score out of 100. That number has one job, which is to condense a public Google rating, a review count and a profile's completeness into a figure that anyone can check by hand. This article shows exactly how it is calculated.
We should be clear about who is explaining this. ABR publishes this blog and runs the recognition program described here. ABR also sells optional promotional packages. Recognition is free, and paid packages do not affect results, which is a claim you can test against the math below. ABR is private, is not a government body and is not affiliated with Google.
Our view is that a score deserves trust only when its math is public and its limits are stated openly. So we will walk through the formula term by term, explain why each weight exists, and run worked examples that we checked against the scoring code. We will also say what the score cannot measure, because a number that looks precise can easily imply more than it knows.
By the end, you should be able to work out a score on paper and judge whether it means anything to you.
Why a Single Number Needs a Published Formula
Customers already use two numbers when they look at a business on Google, the star rating and the review count. Combining them by instinct is hard, and research suggests people do it poorly. Derek Powell of Stanford and colleagues at UCLA and Indiana University found that people often prefer the product with more reviews, even when a statistical model says the option with fewer reviews is likely better (Psychological Science, 2017). Their participants seemed to treat review count as a sign of popularity, and in some cases they favored the more-reviewed option even when both were poorly rated.
That is a reason to have an explicit rule. A formula forces a decision about how much a star is worth compared with a hundred more reviews, and it applies that decision the same way to every business. Two shops showing the same 4.8 rating, one with 20 reviews and one with 120, would score 88.2 and 94.6 with complete profiles. The gap reflects a stated rule rather than a hunch, and a plumber and a dentist go through identical math.
A formula is also only as credible as its openness. If the math is secret, nobody can tell whether a result reflects the data or a preference. A public formula lets a skeptic recompute any score, which is the most useful test any recognition program can offer.
It helps to be exact about what this number is not. It is not Google's local ranking. Google says local results depend mainly on relevance, distance and prominence, and it says there is no way to pay for a better position. ABR's score plays no part in that system. It is also not an inspection, a license or a guarantee of good work. It summarizes public customer ratings and profile data, and that is all it does.
The Formula in One Line
The whole score fits on a single line.
Score = rating / 5 x 70 + log(1 + reviews) / log(251) x 20 + completeness% / 100 x 10
Three terms are added together, and each has a maximum. A perfect rating of 5.0 earns 70 points. A count of 250 or more reviews earns 20. A fully complete profile earns 10. Together they make 100.
| Factor | Maximum | Input | How points grow |
|---|---|---|---|
| Customer Rating | 70 | Google rating out of 5 | In a straight line |
| Review Volume | 20 | Number of reviews | Along a curve, capped at 250 reviews |
| Profile Completeness | 10 | Percent of the profile completed | In a straight line |
Take a business with a 4.8 rating, 120 reviews and a complete profile. The rating term is 4.8 / 5 x 70, which gives 67.2 points. The volume term is log(121) / log(251) x 20, which gives 17.4. The completeness term gives 10. The total is 94.6.
A second example shows a more ordinary case. A 4.2 rating gives 58.8 points, 40 reviews give 13.4, and a profile at 60 percent gives 6. The total is 78.2, which clears the bar without coming near the top of the range.
If logarithms feel abstract, think of them as a way of counting by multiples rather than by ones. The term asks how many times the count has multiplied, and it scales the answer so that 250 reviews equals exactly 20 points.
In the scoring code, each of the three parts is rounded to one decimal place before they are added, and the total is rounded the same way. The base of the logarithm makes no difference to the result, because the formula divides one logarithm by another. You can repeat the sum on any calculator, or use our score calculator and try your own numbers.
Why Customer Rating Carries 70 Points
Rating gets the most weight because it is the most direct public measure of what customers thought, and because it tracks outcomes that owners care about. A study of Washington State restaurants found that a one-star increase on Yelp led to a 5 to 9 percent rise in revenue for independent restaurants (Luca, 2011). Another found that an extra half star made Bay Area restaurants sell out 19 percentage points more often (Anderson and Magruder, 2012). Those are restaurant results on another platform, so they support the principle rather than the exact weight. The 70-point weight is a judgment call, and we would rather state that openly than dress it up as science.
The math is simple. Each tenth of a star is worth 1.4 points, so moving from 4.5 to 4.8 adds 4.2 points. Because of that weight, a smaller business with excellent reviews can outscore a larger one. A 4.8 with 120 reviews scores 94.6 with a complete profile, while a 4.6 with 800 reviews scores 94.4.
The input has limits. Most people who write reviews feel strongly. A study of over 280 million reviews found that most platforms show polarized ratings, largely because people with extreme opinions are more likely to write, which reduces how much the ratings tell you (Schoenmueller, Netzer and Stahl, 2020). A star rating is useful evidence, but it is an imperfect sample of customer opinion.
Why Review Volume Follows a Curve and Stops at 250
Review count gets 20 points on a logarithmic curve, which means early reviews add far more than later ones. That matches common sense. The difference between 3 reviews and 30 changes what a customer can conclude. The difference between 300 and 330 hardly does. In the formula, 3 reviews earn 5.0 points and 30 earn 12.4, while 300 and 330 both earn the full 20. Our article on why review volume matters covers the customer side of this.
| Reviews | Volume points |
|---|---|
| 5 | 6.5 |
| 10 | 8.7 |
| 25 | 11.8 |
| 50 | 14.2 |
| 100 | 16.7 |
| 250 | 20.0 |
| 500 | 20.0 |
| 5,000 | 20.0 |
Notice the pattern. Doubling from 25 to 50 reviews adds 2.4 points, and doubling from 50 to 100 adds 2.5. Under a logarithm, each doubling is worth about the same, so every extra point needs more reviews than the one before.
The cap keeps size from taking over. Past 250 reviews, volume adds nothing, so a chain location with 5,000 reviews gets no volume advantage over a shop with 250. The Powell study gives a reason for restraint here too. Those researchers found no relationship between review count and average rating in Amazon data, and they concluded that a large number of reviews "is not a reliable indicator of a product's quality."
The trade-off is easy to quantify. Going from 100 reviews to 250 adds 3.3 points, about the same as 0.24 of a star. A business with limited time usually gains more by fixing what its customers complain about.
How Profile Completeness Adds the Last 10 Points
The third term rewards a public profile that gives customers the basic information they need. A completeness percentage is divided by 100 and multiplied by 10, so a profile at 80 percent earns 8 points, and one at 60 percent earns 6.
This factor has the smallest weight, which fits what it measures, since a tidy profile says little about the quality of the work. It does show that an owner is present and that a customer can find the basics. Its effect is mostly felt near the threshold, where a few points can decide the outcome, as the next section shows. The items that count are listed in our methodology, and our Google Business Profile checklist is a practical way to work through them.
Three Minimums Every Business Must Meet
A high score alone does not earn recognition. Three separate tests must all pass.
- A rating of at least 4.0.
- At least 5 reviews.
- A score of at least 70 of 100.
Why have gates at all, when the score already rewards rating and volume? Because a sum can hide a weak spot. Strength in one factor can cover for weakness in another, and the minimums stop that from going too far.
Each test can stop a business that would pass the others. A perfect 5.0 from 3 reviews with a complete profile scores 85.0, yet it fails on review count. A 3.9 with 1,000 reviews and a complete profile scores 84.6, yet it fails on rating. Neither is recognized, however good the total looks.
The third test matters most at the bottom of the range. A 4.0 rating with 5 reviews earns 62.5 points before completeness, so that business needs a profile at least 75 percent complete to reach 70. At 4.0 with no completeness points at all, it would need 47 reviews.
The review minimum is low, and it should not be read as proof of reliability. Five reviews are a small sample. Still, the first few reviews seem to matter a great deal to buyers. Northwestern's Spiegel Research Center found that purchase likelihood for a product with five reviews was 270 percent greater than for one with none (2017). That finding comes from online retail rather than local services, so read it as a general pattern.
| Rating | Reviews | Completeness | Rating pts | Volume pts | Completeness pts | Score | Recognized |
|---|---|---|---|---|---|---|---|
| 4.8 | 120 | 100% | 67.2 | 17.4 | 10.0 | 94.6 | Yes |
| 4.6 | 800 | 100% | 64.4 | 20.0 | 10.0 | 94.4 | Yes |
| 4.2 | 40 | 60% | 58.8 | 13.4 | 6.0 | 78.2 | Yes |
| 4.0 | 5 | 100% | 56.0 | 6.5 | 10.0 | 72.5 | Yes |
| 4.0 | 5 | 60% | 56.0 | 6.5 | 6.0 | 68.5 | No, score under 70 |
| 5.0 | 3 | 100% | 70.0 | 5.0 | 10.0 | 85.0 | No, under 5 reviews |
| 3.9 | 1,000 | 100% | 54.6 | 20.0 | 10.0 | 84.6 | No, rating under 4.0 |
How to Read a Score and Improve Yours
For customers, a score is a starting point. Break it into its parts. A 75 can come from a modest rating with plenty of reviews, or from a high rating with very few, and those are different businesses. Look at the rating and the count separately, then read recent reviews.
For owners, the math suggests a clear order of work.
- Fix the rating drivers first. Rating carries 70 points, and each tenth of a star is worth 1.4. Read your low reviews, find the repeated complaint and change that process.
- Build volume early. If you have fewer than 50 reviews, each new one adds relatively more. Ask every customer, the same way, every time.
- Complete your profile. It is the cheapest gain available, and near the 70-point line it can decide the outcome.
- Stop chasing volume near the cap. Past 100 reviews the gains slow down, and past 250 they stop. Recent reviews still help your customers, even when they no longer add points.
Run your numbers through the calculator before you plan anything, and compare one change at a time, so you can see which step earns the most. A shop at 4.4 with 20 reviews and a complete profile scores 82.6, and reaching 4.7 at the same count gives 86.8.
One warning belongs here. Fake or incentivized reviews would move the inputs, and that is exactly why they are dangerous. The FTC's rule on reviews carries civil penalties for knowing violations, and Google removes incentivized reviews from Maps. No score is worth that risk.
Buying a package changes none of this. Optional packages at $59, $99 and $179 are one-time purchases that do not affect a score or a result. If you would like to test that, recompute any published score from its inputs.
Where the Score's Limits Will Matter Most
Several limits follow directly from the formula, and they are likely to matter more over the next few years.
The formula has no term for authenticity. Google says it blocked or removed more than 292 million policy-violating reviews in 2025, yet anything that remains in a rating flows straight into the score. As cheap AI text makes fake reviews easier to produce, that dependence on platform policing becomes more important.
The formula has no term for recency, so an old review counts the same as a new one. It has no industry adjustment, so a dentist and a car wash are measured on one scale, even though customers may rate them differently. And it treats the Google rating as given, so any change in how Google collects or displays ratings would affect every score.
We see those as honest trade-offs rather than hidden flaws. A simple formula is easy to check, and each added term makes it harder to recompute by hand. Because the math is on display, any change to it would be visible to anyone who cares to look. Readers should weigh the score with those gaps in mind, and treat it as one input among several.
The Score in Plain Terms
The business recognition score is a sum of three parts. Rating is worth up to 70 points, review volume up to 20 on a curve that stops at 250 reviews, and profile completeness up to 10. Three minimums sit on top of that sum, namely a 4.0 rating, 5 reviews and a score of 70.
The weighting makes a deliberate choice. Satisfaction counts far more than size, so a 4.8 with 120 reviews can edge past a 4.6 with 800. The curve rewards the first reviews most and then flattens, so large businesses cannot win on volume alone. The gates stop a high total from covering a real weakness, as the 5.0 with 3 reviews shows.
The score is also limited, and it should be read that way. It summarizes public data and does not inspect anyone's work. It cannot detect fake reviews that remain in a rating, it ignores how recent a review is, and its weights reflect our judgment.
What it offers is openness. The formula is public, the examples above were run through the scoring code, and you can repeat them yourself. Paying for an optional package changes nothing in the math. If a result looks wrong to you, recalculate it. That is the point of publishing the method.
Questions About the Business Recognition Score
What is a good business recognition score?
A score of 70 is the minimum for recognition, provided the rating and review minimums are also met. Beyond that, read the parts. A high total built on a strong rating and a healthy review count tells you more than the number alone. A 94 with 800 reviews and a 94 with 120 reviews describe different businesses, even though the totals match.
Can a business pay to raise its score?
No. Recognition is free, and paid packages do not affect results. The score comes only from rating, review count and profile completeness. You can confirm any published score by recalculating it from those inputs.
Why did a business with a higher rating score lower than another?
Rating is one of three parts. A business with a slightly higher rating but few reviews can fall behind one with a slightly lower rating and many more reviews, because review volume is worth up to 20 points. For example, a 4.9 with 5 reviews and a complete profile scores 85.1, while a 4.5 with 300 reviews and a complete profile scores 93.0.
Why do review points stop at 250?
The cap keeps scale from outweighing customer satisfaction. Reviews beyond 250 add no points, so a very large business gains no further edge from volume, and rating decides most of the difference. Readers still benefit from those extra reviews, since they offer more to read.
Can a business score above 70 and still not be recognized?
Yes. A 5.0 rating from 3 reviews scores 85.0 with a complete profile, but it fails the 5-review minimum. A 3.9 rating can score well into the 80s and still fail the 4.0 minimum.
Is this score the same as Google's ranking?
No. ABR is private and not affiliated with Google. Google's local ranking uses its own factors. ABR's score uses Google rating data as an input and has no effect on where a business appears in search. It is not a government rating either, since ABR is a private program.
Does the score take the industry into account?
No. The formula has no industry term, so every business goes through the same math. That keeps it simple and checkable, though customers in different industries may rate differently, so comparisons across trades deserve more care.
This article is general information and is not legal advice.
