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The review gap is smaller than everyone thinks.
Every article about local SEO review strategy starts the same way: the top-3 businesses on Google Maps have massively more reviews than everyone else. You need hundreds more reviews. You need to catch up. You need to run aggressive review-generation campaigns.
We pulled 11,500 Google Maps listings across 25 cities and 8 verticals after the March 2026 core update (internal benchmark, Apr 2026). The actual numbers are not that story.
The actual gap is 14%, not 5x
Businesses in positions 1 through 3 on Google Maps average 445 reviews. Businesses in positions 4 through 10 average 391.
That is a 14% gap. Not 5x. Not 3x. Fourteen percent.
If you have 350 reviews and your local top-3 has 400, the industry narrative says you are fundamentally behind. The data says you are essentially tied.
Positions 4-10 add reviews FASTER
The strangest part of the data. Monthly review velocity by pack position:
Top-3 average: 7.06 reviews per month.
Positions 4 through 10 average: 8.72 reviews per month.
Position 10 alone averages 10.27 reviews per month — faster than any top-3 position.
If review velocity were a ranking signal in the simple "more reviews faster = higher rank" way that the industry teaches, that would be impossible. Velocity is either a weak signal or an inverted one. Positions 4-10 are grinding. Top-3 is coasting. The grinders are not catching up.
GBP completeness gap: one point out of a hundred
Profile completeness is scored on a 0-100 scale based on filled fields (hours, description, photos, services, attributes, Q&A).
Top-3 average: 58.2 / 100.
Positions 4-10: 57.2 / 100.
One point. Across 11,500 businesses. That is not a differentiator. That is a coin flip.
Anyone selling you "GBP completeness optimization" as the thing keeping you out of the top 3 is either not looking at the data or not showing it to you.
Top-3 responds to reviews LESS often
Owner response rate is the share of reviews an owner has publicly replied to.
Top-3 owner response rate: 0.50.
Positions 4-10: 0.54.
Position 4 specifically: 0.59. Highest of any pack position.
The businesses that have already won are responding to roughly half their reviews. The businesses trying to break in are responding more. The industry sells owner-response as a ranking signal. If it were one in the obvious direction, this number should look different.
What actually separates top-3 from 4-10, then?
None of the signals we measured at the pack-position level do. Not review count meaningfully. Not velocity. Not completeness. Not response rate. Rating is within 0.1 stars across all ten positions.
Which means the thing separating #3 from #4 is something that does not live inside the business profile. The most parsimonious explanation — consistent with the broader benchmark study and with Google's own documentation on local ranking — is proximity. The local pack is a proximity-weighted layer on top of table-stakes business signals. Once you clear the table stakes (rating above 4.5, enough reviews that Google trusts you exist, a real profile), the thing that flips you from #4 to #3 is being closer to the searcher.
You cannot move your office. You can ensure that when a searcher is within 5 km, you are the strongest candidate in the ring — which means table stakes, not table-stakes-plus-300-more-reviews.
What to do with this
Stop chasing a review count number. The review-count moat does not exist at the pack-position level. Get to "enough reviews that Google takes you seriously" — in most verticals this is somewhere between 50 and 150 — and stop.
Look at your city and vertical specifically. The 445 and 391 numbers are averages across 8 verticals. In insurance the top-3 median is closer to 45. In plumbing it is closer to 112. The national averages mask a lot.
Do not pay for optimization you can verify is low-leverage. If the completeness gap is 1 point, paying $500/mo to "optimize completeness" is not what is keeping you out of the pack.
Do pay attention to the things the data does not rule out. Proximity, of course. Category match (being categorized exactly as the searcher's intent). Business name match (spam exploits this — see the 20.7% keyword-stuffing rate in dental). These all live outside the fields most agencies sell against.
Scan your own market
Our audit pipeline pulls your GBP and the top 20 for your keyword, compares against the vertical benchmark, and returns a readout in about 30 seconds. Three free queries, no signup.
// averages above are pack-position averages across 25 cities. your specific pack will differ.
The full dataset
Methodology, per-position tables, and the CSV live at /research/state-of-local-search-march-2026. CC BY 4.0 — cite as DuBois, IMPIOUS LLC, 2026.
We are walking through every finding live on April 29 at 10 AM ET.