Google updated its Google Business Profile review policies on February 23, 2026, tightening language around review manipulation in ways that can hit small businesses fast if they rely on discounts or other perks to get reviews.
The change matters because Google reviews influence local search visibility and customer trust, and policy violations can lead to removed reviews or other profile enforcement that may reduce calls and walk ins.
In the updated rules, Google more clearly bans offering incentives such as payment, discounts, or free goods and services in exchange for a review, or in exchange for changing or removing a negative review, according to reporting by Search Engine Roundtable.
Google also says businesses cannot discourage negative reviews or selectively ask only happy customers to post, and it now explicitly warns against pressuring people to leave a rating while they are on the premises.
Another notable addition is language targeting unusual volumes or patterns of review activity, which signals heavier use of automated detection to spot suspicious spikes or repeatable patterns that look coordinated.
For operators, the practical risk is that common playbooks like review gates, receipt coupons for reviews, and staff scripts that steer customers toward 5 star ratings are now more clearly in the danger zone, even if they were widely used before.
A quick audit is worth doing this week, starting with any email or SMS automation, QR code signage at the register, and customer service follow ups that mention a perk or ask for a specific rating.
If you want a safer approach, keep requests neutral, send the same message to all customers, and separate customer recovery from review requests so a complaint is handled without tying it to a request to edit a rating.
Some local SEO firms also point to broader 2026 tightening around verification and spam filtering, which can make enforcement feel more sudden if your profile gets flagged, including by automated systems, as noted by Dietz Group.
Next up, expect more enforcement driven by pattern detection rather than manual review, so watch for sudden review removals, a drop in new review velocity, or changes in local pack placement after you change your review process.
