Incentivized Review
An incentivized review is one a customer writes after being offered a reward (a discount, loyalty points, a free sample, or a prize draw entry), where the reward is given for the act of reviewing regardless of sentiment, must be clearly disclosed, and is never conditioned on the review being positive.
Stores use incentives because the hardest part of reviews is volume. Most happy buyers never write anything, and a small reward nudges a slice of them to. Done within the rules, the practice is legitimate and common. The reward is owed for the act of leaving a review, not for a particular star rating, and the shopper is told an incentive was involved before they write. The distinction sounds pedantic but it is the whole game: an incentive paid for honesty is fine, an incentive paid for praise is not.
The FTC line is specific and worth stating plainly: the reward cannot be conditioned on sentiment. Offering loyalty points only for five-star reviews, or steering unhappy customers to a support inbox so they do not post publicly, crosses into review gating and deceptive practice. Incentivized reviews also have to be disclosed, so a reader can weigh that the writer received something, and the store must not quietly edit or suppress the critical ones that come back.
Consider a Shopify store selling reusable coffee filters. After fulfilment, the post-purchase flow emails buyers two weeks later and offers 100 loyalty points for a review of any length and any rating, with a one-line note that points are given for reviewing, not for a good score. A buyer who found the filter slow to drain writes a three-star review saying so, and still receives the points. That review stays live, the disclosure badge sits beside it, and the store reads the complaint as a product signal. That is incentivisation done correctly. The moment the store withholds points from the three-star writer, the whole scheme becomes a liability.
The honest nuance is that incentives skew the sample even when you follow every rule. People who accept a reward to review are not a random draw, and the lift in volume can arrive with a mild lift in positivity, so treat incentivized reviews as a supplement to organic ones rather than a replacement.
This matters for AI search because answer engines like ChatGPT, Perplexity, and Google AI Overviews increasingly read review text to summarise what a product is actually like. Disclosed, uncensored reviews (including the critical ones) give those systems balanced material to cite, which reads as more trustworthy than a wall of uniform praise. A corpus that is openly incentivised but visibly honest tends to corroborate better than one that looks suspiciously perfect. Getting those reviews readable, corroborated, and cited by search and AI is the gap BeyondReviews closes.