PlatinumProfile.ai Google Map Pack for Personal Injury Lawyers
PlatinumProfile.ai Google Map Pack for Personal Injury Lawyers
PlatinumProfile Study

What Actually Wins the Map Pack

We analyzed 2,000 Google Maps placements across 773 personal injury law firm profiles in 20 cities — five accident-type searches per market, ranked positions 1–10. Here's what actually correlates with rank.

99.7%
Top 10 use PI-attorney category
65%
Times #1 wasn't the review leader
80%
#1 spots rated 4.6–4.9
3pt
GBP click-tracking gap, top 3 vs rest
Finding 01

Category discipline is the strongest signal we found

99.7% of every top-10 map pack placement we recorded — 1,000 placements across 20 cities — used "Personal injury attorney" as the primary GBP category. Not "Law firm." Not "Legal services." Not "Attorney." The narrow, specific category, every time.

Every single #1 ranking in our dataset (100 out of 100 searches) had "Personal injury attorney" set as the primary category. If your profile's primary category is broader or generic, this is very likely costing you rank before anything else is even considered.
Finding 02

Review count doesn't win the map pack the way most firms think

It's tempting to assume the firm with the most reviews takes the #1 spot. Our data says otherwise: in 65% of the searches we ran, at least one firm ranked below #1 had more reviews than the #1 firm. In 77% of searches, a lower-ranked firm even had a higher star rating than #1.

Top 3 review count (median)687
Positions 4–10 (median)325

Review volume trends higher for the top of the pack in aggregate — but it isn't the deciding factor for any single listing. Category, consistency, and profile completeness carry more of the weight than raw review count alone.

Finding 03

A perfect 5.0 rating is not the goal

Among the 100 firms holding the #1 spot in our searches, the rating distribution was not what you'd expect if "higher is always better" were true.

1%Below 4.6
80%4.6–4.9
19%Perfect 5.0

80% of #1 rankings sat in the 4.6–4.9 range — not a perfect score. Only 19% of #1 spots were a flat 5.0. A profile chasing a spotless rating at the cost of review volume or responsiveness may be optimizing for the wrong number.

Finding 04

Profile completeness signals still separate winners from the pack

Firms using Google's own link-tracking on their GBP website field (a proxy for an actively managed, complete profile) showed up more often at the top: 61% of top-3 placements had GBP click-tracking enabled, versus 58% for positions 4–10. Listed hours (open/closed status fully filled in) showed a similar gap: 94% vs 90%.

Neither signal is dramatic on its own. Together, they point the same direction as findings 01–03: the firms at the top of the map pack tend to be the ones treating their Google Business Profile as an actively maintained asset — not a listing they claimed once and left alone.

Finding 05

Photo count is the cleanest gradient in the data

Of everything we measured, photo count produced the most orderly relationship with rank. Every step up the bands raises the share of placements landing in the top three, and the spread from bottom to top is more than double.

Photos on profilePlacementsTop 3Top-3 rate
0-49525133 25.3%
50-9918348 26.2%
100-1497618 23.7%
150-2999039 43.3%
300+10561 58.1%
Profiles with 300 or more photos took a top-three position 58.1% of the time. Profiles under 50 photos managed 25.3%. This is the one factor on this page a firm can act on immediately without buying anything.

A caution on reading it: this is correlation across a snapshot, not a controlled test. Firms that maintain 300 photos tend to maintain everything else too. The gradient is real and it is the strongest we found, but photos are unlikely to be doing all the work on their own.

Finding 06

Reviews matter in aggregate and decide almost nothing individually

Both of these are true at once, which is why the review question causes so much confusion. Across all placements, review volume tracks rank closely:

Review countPlacementsTop 3Top-3 rate
0-999612 12.5%
100-29928852 18.1%
300-69932087 27.2%
700-149918680 43%
1500+11069 62.7%

And yet in 65% of the individual searches we ran, a firm ranked below #1 had more reviews than the firm at #1. The aggregate pattern is strong. The head-to-head is close to a coin flip.

The practical reading: reviews are a threshold to clear, not a race to win. Once a firm is in the band its market competes at, more reviews stop deciding the order. A firm at 1500+ reviews chasing more is optimising a factor that has already done its work.
What did not predict rank

The results we expected to find and did not

Studies that only report what worked are hard to trust. These are the factors we tested and could not support.

Rating, above a floor. The 4.6–4.7 band took a top-three position 44.2% of the time. A perfect 5.0 managed 24.7%, barely ahead of profiles rated below 4.6 at 27.6%. Rating is a floor to clear, not a number to maximise, and the firms chasing a spotless score are competing on the wrong axis.
Deep landing pages versus the homepage. We fetched and parsed 363 of the pages the profiles link to. Deep city or practice pages took a top-three spot 16.5% of the time against 14.7% for homepages. That difference is inside the noise at this sample size, and we are not going to dress it up as a finding.
Site-level city page depth. In separate work across 670 domains with parsed sitemaps, the number and ratio of city-covering pages on a firm's site showed no relationship to map pack rank once review strata, rating band and deep-link status were controlled for. Apparent effects were firm size in disguise.
Methodology: 100 live Google Maps searches across 20 U.S. metros (Houston, Atlanta, Phoenix, Las Vegas, Orlando, Tampa, and others), covering five personal injury search categories per market — general PI, car accident, truck accident, motorcycle accident, and slip & fall. 2,000 total placements recorded across 773 unique firm profiles, positions 1–10. Snapshot collected August 2026.

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