Quick Answer
Ingredient quality and macro counts measure different things. Two meals with identical carb, protein, and fat numbers can have completely different ingredient profiles. Individual responses to food vary up to 5x between people. CleanKeto frames this as 'what the data shows about what is in your food' - never claiming ingredient quality 'will' produce a specific outcome.
Ingredients That Matter
A PQ Score is CleanKeto's ingredient composition analysis, expressed as a number that reflects what is in a product based on its label data. When you start looking at food quality on keto beyond the macro line, certain ingredient categories consistently shift where a product lands on that scale. Here is what scoring patterns indicate across thousands of product analyses.
### Oils and Fats
This category creates the widest scoring variance in keto products. A bar made with cold-pressed avocado oil or grass-fed butter lands in a fundamentally different PQ range than the same bar formulated with soybean oil or canola oil. Ingredient analysis shows that many products marketed as "keto-friendly" use industrially processed seed oils as their primary fat source. Two keto cookies with the same 2g net carbs and 14g fat can sit 40+ points apart depending on which fat the manufacturer chose.
Products built around physically pressed oils (olive, avocado, coconut) typically score in the 65-85 range. Products relying on hexane-extracted seed oils as a primary fat often land between 20 and 45. That gap is the single largest driver of PQ variance in the keto product landscape.
### Sweeteners
Allulose is CleanKeto's preferred sweetener. It scores favorably in ingredient analysis because it is a rare sugar with minimal metabolic impact based on available composition data. Monk fruit extract and stevia also perform well in scoring.
Erythritol is a different story. CleanKeto does not recommend erythritol due to reported GI discomfort and emerging cardiovascular data concerns. Products sweetened primarily with erythritol score lower than those using allulose, all else being equal.
Sucralose and acesulfame potassium sit near the boundary of CleanKeto's scoring thresholds. A product with sucralose as a minor ingredient in position 8 or 9 on the label scores differently than one where sucralose is a primary sweetener listed in position 2. Position on the ingredient list matters because it reflects concentration.
### Protein Sources
Grass-fed whey protein, pasture-raised eggs, and wild-caught fish score in the upper ranges. Conventional protein concentrates with added fillers score lower. The gap is not trivial. A clean keto protein bar with grass-fed whey and egg whites typically scores 25-40 points higher than a bar using soy protein isolate with maltodextrin filler. Both bars might advertise 20g protein and 3g net carbs. The ingredient lists tell a completely different story.
### Additives and Preservatives
Carrageenan, artificial colors, and sodium benzoate consistently pull PQ ranges downward. These ingredients show up in products marketed as keto-friendly more often than you might expect. Consider two keto coffee creamers on the same shelf. One contains heavy cream and MCT oil. The other starts with the same base but adds dipotassium phosphate, cellulose gel, and artificial flavors. Same macro profile. Different ingredient reality. The Scan feature breaks this down in seconds.
### Fiber Sources
Soluble corn fiber and chicory root fiber appear frequently in keto products to reduce net carb counts on the label. Ingredient analysis reveals that not all fiber additives are equivalent in terms of overall composition quality. Products using psyllium husk or acacia fiber tend to score higher than those relying on processed fiber syrups, though the variance here is smaller than what oils and sweeteners produce.
Key Takeaways
- Two products with identical macros can have PQ Score ranges separated by 40 or more points depending on ingredient composition.
- Oils and fats create the single largest scoring variance in keto food analysis, with physically pressed oils scoring significantly above hexane-extracted alternatives.
- Clean keto ingredients like allulose, grass-fed dairy, and whole food fats consistently appear in higher-scoring products.
- Individual responses to the same food vary dramatically between people, which is why keto ingredient quality data matters beyond standardized macro counts.
- Scanning a label takes seconds and returns a PQ range reflecting what the data shows about that specific product, no nutrition degree required.
What the Data Shows
Personalized nutrition research has produced two landmark datasets worth examining when we talk about food quality on keto.
The first is the Zeevi et al. study (2015), published in *Cell*, which tracked continuous glucose monitoring data across 800+ participants eating nearly 47,000 meals. The core finding: postprandial glycemic responses varied by up to fivefold between individuals eating identical foods. One person's blood glucose spike from white bread was another person's flat line. The study identified gut microbiome composition, meal timing, and individual metabolic factors as drivers of this variance. Universal dietary recommendations based solely on food composition, the researchers concluded, have significant limitations.
The second is the Berry et al. PREDICT study (2020), published in *Nature Medicine*, which examined 1,002 twins and unrelated adults. Even identical twins showed significant variation in their metabolic responses to the same meals. Genetic similarity did not eliminate the gap. The researchers found that individual factors including gut microbiome diversity, sleep quality, meal context, and exercise patterns all influenced how someone responded to identical food inputs.
What do these datasets mean for keto ingredient quality specifically? They confirm that holding macros constant does not hold outcomes constant. Two meals at 5g net carbs, 25g protein, and 20g fat are not interchangeable if one is built from whole food sources and the other from processed ingredients with industrial additives. The data does not tell us exactly what any individual will experience from a given ingredient. It does tell us that ingredient composition varies enormously between products and that individual responses to those different compositions also vary enormously.
CleanKeto's keto food analysis approach reflects this reality. PQ Scores do not predict outcomes. They analyze and score what is in a product's ingredient list, giving you composition data that macros alone cannot provide. That is a meaningful layer of information whether you are comparing two brands of keto bread at the store or building a weekly meal plan. For a breakdown of what each plan includes, see Pricing.
> If labels stress you out: CleanKeto turns ingredients into a simple PQ range so you can decide fast. Get it on iOS | Android