Review Signals

The collective impact of online reviews on local search rankings, including quantity, quality, recency, and diversity.

What Are Review Signals?

Review signals are the data points search engines extract from online reviews to assess a business's reputation and relevance for local search. Google's local ranking algorithm treats reviews as a major component of the Prominence pillar — the measure of how well-known and trusted a business is in its area.

Reviews are not simply about star ratings. Google's algorithm evaluates multiple dimensions simultaneously, each contributing to the overall signal weight a business's review profile carries.

The Five Dimensions of Review Signals

Volume is the total number of reviews a business has received across platforms. More reviews mean more data points, which increases Google's confidence in the average rating. A business with 200 reviews and a 4.3 average is generally stronger than one with 10 reviews and a 4.8 average.

Rating is the average star score. Businesses in the Local Pack typically maintain averages above 4.0. Below that threshold, a listing may rank but perform poorly on click-through rate, as users bypass lower-rated options even when they rank highly.

Recency measures how recently reviews have been posted. A profile with 300 reviews but none in the past year sends a weaker signal than one with 80 reviews and regular new activity. Google's algorithm weights recent reviews more heavily because they reflect the current state of the business.

Velocity is the rate at which new reviews accumulate over time. A sudden spike in reviews can look suspicious and may be discounted or flagged. A steady, organic accumulation of reviews is the healthiest pattern.

Diversity refers to the presence of reviews across multiple platforms, not just Google. Reviews on Yelp, TripAdvisor, Facebook, industry-specific directories, and other sites contribute to a business's overall online reputation. Google is known to crawl third-party review sites and incorporate those signals into its understanding of a business's prominence.

How Google Weighs Reviews

Google's algorithm looks at review signals from two primary sources:

First-party reviews are reviews posted directly on Google through Google Business Profile. These carry the most direct weight in Local Pack rankings because Google has full access to the data and can verify the reviewer's identity through their Google account.

Third-party reviews appear on external platforms — Yelp, Facebook, Healthgrades, and others. Google crawls these platforms and factors them into prominence calculations, though they are weighted less than first-party Google reviews.

Review text also matters. Reviews that mention specific services, products, or the business's location provide keyword signals that can improve relevance for those specific queries. A restaurant with multiple reviews mentioning "best brunch in the West Village" is more likely to rank for that phrase.

Practical Implications

Businesses that actively ask satisfied customers for reviews — through follow-up emails, SMS, or in-person requests — consistently outperform competitors who wait passively. Responding to reviews, both positive and negative, is also a ranking signal; it demonstrates ongoing engagement with customers.

Auditing your review profile across platforms, including rating averages, review volume, and response rate, is part of a complete local SEO assessment. dilypse.localscan.io surfaces your review health alongside listing accuracy and citation consistency.

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