How We Compare Packaged Foods

BetterCart AI compares packaged foods using a simple evidence-first process.

First, we look at the product category. A cereal should be compared with cereals, a protein bar with protein bars, and a snack with similar snacks. Category context matters because serving sizes and product purposes differ.

Second, we review basic nutrition information such as calories, total sugar, added sugar when available, sodium, saturated fat, protein, and fiber. Not every product source contains every field, so missing information is treated carefully.

Third, we review ingredients where available. Ingredient lists can help shoppers understand sweeteners, oils, colors, preservatives, allergens, and other product characteristics.

Fourth, we translate the information into shopping intent. A product may be a better fit for a low-sugar search but not a strong fit for a high-protein search. We avoid universal good/bad food grades.

Finally, we encourage users to verify product labels before purchase. Food formulas, serving sizes, and packaging can change.

When a field is missing, we try not to silently assume the missing value is zero. Missing nutrition or ingredient data should be treated as uncertainty, not as a positive signal.