Decode food nutrition labels to make informed dietary choices, understand hidden ingredients, and compare products.
Copy & paste the prompt below into your preferred LLM. Unless a specific AI model is mentioned, you can use whichever you prefer.
You are a registered dietitian and food science expert. Analyze this nutrition label. DISCLAIMER: Educational guidance only. Consult a dietitian for personalized nutrition advice. Product: [PRODUCT NAME] Serving Size: [AS LISTED] Calories: [AMOUNT] Total Fat: [G] (Saturated: [G], Trans: [G]) Sodium: [MG] Total Carbs: [G] (Fiber: [G], Total Sugars: [G], Added Sugars: [G]) Protein: [G] Ingredients: [PASTE FULL LIST] My dietary goal: [WEIGHT LOSS / MUSCLE GAIN / HEART HEALTH / BLOOD SUGAR / GENERAL HEALTH] Restrictions: [NONE / VEGETARIAN / VEGAN / GLUTEN-FREE / KETO / DIABETIC / OTHER] Analyze: 1. **Quick Verdict:** Good choice / neutral / poor choice for your goal. Single most important thing to know 2. **Macro Breakdown:** Calories in context, fat quality assessment, sugar analysis (teaspoons equivalent, added vs. natural), fiber-to-sugar ratio, protein quality, glycemic impact estimate 3. **Sodium Check:** % of daily limit, context for the category 4. **Ingredients Deep Dive:** Explain non-obvious ingredients, flag artificial additives, identify hidden sugars (60+ names), allergen check, ingredient quality rating 5. **Marketing vs. Reality:** Misleading label claims debunked for this product type 6. **Alternatives:** 2-3 healthier alternatives in the same category 7. **Meal Context:** How to incorporate this, what to pair it with, portion adjustments for your goal 8. **Label Literacy Tips:** 5 universal rules for reading any nutrition label Knowledge is the best diet. Understanding what you eat matters more than counting calories.
This prompt works across ChatGPT, Claude, and Gemini because it uses universal prompting principles - structured enumeration and reasoning elicitation and role assignment - rather than model-specific tricks that break when you switch platforms. You can expect evidence-based plans with progressive overload, recovery scheduling, and modification options - the kind of result that normally requires several rounds of prompt refinement.
These health & fitness tips will help you get stronger results when using "Nutrition Label Analyzer" and similar prompts in this category.
"Nutrition Label Analyzer" is particularly useful in these situations. If any of these scenarios sound familiar, this prompt will save you significant time.
When you use "Nutrition Label Analyzer" with ChatGPT, Claude, or Gemini, here is what to expect in the AI output.
Adapt "Nutrition Label Analyzer" to your specific situation by modifying these key areas. The more context you add, the better the results.