Evergreen monthly benchmark — May 26
Protein Powder
May 26Rank Trend
How top brands moved week over week. Rank 1 is the top position.
For a lean-muscle-focused lifter, AI routes to a stable Optimum Nutrition, Transparent Labs, and Dymatize core. But the aggregate #1 split three ways this run (Transparent Labs for ChatGPT, Momentous for Claude, Optimum Nutrition for Gemini and Perplexity) rather than consolidating on one brand. A brand outside that core plus Momentous and Nutricost is effectively invisible at purchase intent unless the buyer names it.
Top Brands by AI Mention Frequency
Mention frequency counts how many times a brand appeared across all AI responses. This differs from top-pick rank, which reflects each model’s #1 choice.
Opportunity for Brands
- The challenger tier is highly fragmented: MuscleTech and Levels appear only in ChatGPT.
- Vega/Muscle Milk/NOW Sports only in Gemini, Kaged/Promix/Premier Protein/Myprotein/NutraBio/Body Fortress only in Perplexity, Swolverine only in Claude.
- Major brands with retail presence are absent: Premier Protein (Costco/Walmart bestseller) surfaces only once despite marketplace dominance.
- And Quest, BSN Syntha-6, Garden of Life Sport, Vega (mostly), Kos, and OWYN do not register cross-model.
- The plant-based tier is thin and inconsistent.
- No single budget brand below Nutricost has cross-model agreement.
Cross-Agent Comparison
How 4 AI models rank the same category. Hover a brand to trace it across models.
4 agents · top 3 each
| Agent | #1 | #2 | #3 |
|---|---|---|---|
| chatgpt | Transparent Labs | Optimum Nutrition | Dymatize |
| claude | Momentous | Optimum Nutrition | Transparent Labs |
| gemini | Optimum Nutrition | Transparent Labs | Dymatize |
| perplexity | Optimum Nutrition | Kaged | Premier Protein |
What This Means
- All four models keep Optimum Nutrition, Transparent Labs, and Dymatize as the core, but the aggregate top pick splits: ChatGPT leads Transparent Labs (top-ranked in P1 and P3, the commerce-formatted model surfacing the widest budget-to-premium set including Isopure, MuscleTech, Levels), Claude leads Momentous (top-ranked P1 and P3.
- Premium-clinical-leaning, Huberman/NSF framing, uniquely surfacing Swolverine plant protein), Gemini leads Optimum Nutrition (personality-typed framing, uniquely surfacing Vega, Muscle Milk, NOW Sports), and Perplexity leads Optimum Nutrition (most consolidated and broadest P3 ranking of ten brands, uniquely surfacing Kaged, Promix, Premier Protein, Myprotein, NutraBio, Body Fortress).
- The whey-isolate-vs-concentrate and premium-vs-value forks drive the divergence.
Why These Brands Win
- The brands AI favors share whey isolate positioning (the universal best-for-lean-muscle pick over concentrate), third-party testing (NSF Certified for Sport.
- Informed Sport) as the universal quality gate, 24-28g protein per serving as the cited floor, and transparent or clean-label formulation.
- Optimum Nutrition owns the value/everyday slot, Transparent Labs the clean-label premium slot, Dymatize the fast-digestion slot, and Momentous the certified-athlete slot.
- Whey isolate vs concentrate is the universal primary buying axis.
Frequently Asked Questions
What protein powder does AI recommend most?▾
Which protein powder brand ranks #1 across all AI models?▾
Why does ChatGPT recommend different protein powder than Claude?▾
What protein powder brands are invisible to AI?▾
How we measure this
Each benchmark runs the same standardized prompts across multiple leading AI systems, including ChatGPT, Claude, Gemini, and Perplexity. We use consistent, category-specific questions designed to surface genuine product recommendations — not sponsored results.
Responses are parsed to extract brand mentions, rank position, and frequency. We then analyze cross-model agreement, identify which brands consistently appear in top positions, and flag where AI outputs diverge from marketplace trends.
Evergreen categories are benchmarked monthly. Results reflect organic AI behavior at the time of testing. Read the full methodology
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Conducted personally by Robert Hu.
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