How to Write Affiliate Product Reviews with AI

An affiliate review helps a reader decide whether a product fits a real need. The reviewer must supply the actual experience: what they tested, under what conditions, what worked and what did not. Separate observed results from manufacturer claims and independent sources. Keep the manual, spec sheet, test notes and source dates with the draft. Verify model names, prices, compatibility and measurements before publishing; those details can change. If the review discusses a personal experience, state who tested the product and avoid turning one result into a promise about what every reader will get. If a claim needs evidence the reviewer does not have, remove it or qualify it appropriately. The FTC’s Endorsement Guides say endorsements should reflect honest opinions and should not make claims the advertiser could not substantiate. A financial, family, employment or product relationship readers would not expect may need clear disclosure. For affiliate content, explain that commissions may be earned and place the disclosure where readers can see it near the recommendation and link. If the review appears in a video, disclose in the video as well as the description when viewers may miss a description-only notice. Follow additional platform or affiliate-program terms. A useful review structure names the audience and use case, summarizes what was tested, lists strengths and limitations, compares alternatives and ends with a verdict tied to evidence. An AI-generated star rating is not a substitute for a disclosed rubric. Do not ask AI to create fake buyer reviews, imitate a customer or hide sponsored language. Keep the source of each claim and the author’s test notes in the editorial record. Before publishing, check disclosures and material claims. Update product details when the model changes. AI can make drafting more efficient, but trust comes from actual testing, transparent incentives and a fair account of limitations.