Review Recency Overrides Historical Volume in Local Packs — AI Search Weights the Signal Far Less

Traditional wisdom prioritizes massive review counts, but algorithmic recency bias overrides absolute volume in the local pack.

To leverage this weighting, I maintain a strict velocity of one to two reviews every two to three weeks, reveals Dan Brooks.

A total count of just 20 to 22 reviews consistently outranks established competitors holding massive historical profiles that remain inactive for over six months.

Conversely, Google AI local packs reduce the weight of review signals, observes Joy Hawkins.

The generative engine appears to deprioritize both historical volume and current velocity compared to the traditional 3-pack format.

This filter kills the effectiveness of purchased review manipulation and blocks unbranded lead-generation listings, surfacing verified brand entities despite their low overall review counts.