Editorial policy

Made Me Buy It uses an automated research system supervised by editorial rules that are enforced in software, not just promised in prose. Articles are drafted by AI models from stored evidence, and they publish only if they pass automated fact-checking, source and compliance checks. The rules that matter most:

• No fabricated testing. Articles cannot claim first-hand testing unless a product's record explicitly says we tested it. Our quality gate blocks phrases like "we tested" on untested products before publication.
• Only evidence about this exact product. A video counts as a source for a product only when it is about that product — not a sibling model, another brand's version, or general advice about the category. A product without enough specific evidence gets no review.
• Evidence-backed claims. Factual statements must trace to stored evidence — a specific creator claim, manufacturer data, or retailer listing. Statements that fail fact-checking block publication.
• Negative verdicts are required, not tolerated. If the evidence says a product is overhyped, the article says so. Every review names who should skip the product.
• Rankings have a methodology. When we rank products, "best" means a weighted score across reviewer sentiment, evidence depth, value signals, trend momentum, and editorial assessment — never payment.
• No fabricated ratings. Our score is our own editorial score, computed from evidence. We never republish or invent customer star ratings, review counts, or prices.
• Affiliate links never shape verdicts. The verdict is written before monetization is attached, and disclosure appears wherever affiliate links do.

Articles are refreshed when the underlying evidence changes; every published change is versioned internally.