How do your reviews stack up?
Compare your Google rating and review count against two competitors. Reviews are one of the strongest signals AI uses when it decides who to recommend.
Why reviews move AI answers
Assistants answering a local question lean on the same public signals a person would skim: how many people reviewed a business, how highly, and how recently. Reviews are not the only factor, but they are the one that separates two otherwise identical listings. A profile with 300 recent reviews reads as an established choice, and models tend to recommend what looks safe to recommend.
How to read the gap
The absolute rating matters less than where you stand next to the businesses in the same answer. A 4.9 with 12 reviews looks thinner than a 4.6 with 300, because volume reads as evidence. Look at the distance rather than the score: if a competitor has five times your review count, closing that gap is a longer project than fixing your opening hours, and it should be planned as one.
What this snapshot cannot show
This is where the numbers stand right now, not how they are moving. A competitor who gained 40 reviews last month and one who has been flat for two years look identical here. It also covers only reviews, while AI answers also read your Google Business Profile completeness and whether you appear on the directories and local guides the model reads.