Sports Nutrition and Protein Supplements: 2025 AI Market Discovery Index

Answer Capsule

In the sports nutrition and protein supplements category for May 2025, AI systems are concentrating recommendation power around two dominant brands. Transparent Labs leads with the highest recommendation coverage and rank-one rate, while Optimum Nutrition follows closely. Dymatize holds a solid third position. The rest of the market, including BSN, MusclePharm, and Ghost Lifestyle, shows minimal recommendation presence despite occasional visibility. Vital Proteins performs well in niche evaluation and pricing clusters but lacks the broad discovery-stage dominance of the top two.

Executive Summary

The sports nutrition and protein supplements category shows a stark AI recommendation hierarchy in May 2025. Two brands, Transparent Labs and Optimum Nutrition, capture the overwhelming majority of AI-driven recommendation value, accounting for over $1.48 million of the total $1.64 million monthly modeled opportunity. That is roughly 90% of all recommendation value concentrated in two players.

Transparent Labs leads across nearly every metric, with a valid recommendation coverage of 45.9% and a rank-one rate of 20.0%. It appears as the top recommended brand in one out of every five AI responses. Optimum Nutrition follows at 45.8% coverage and a 19.6% rank-one rate, creating a two-brand oligopoly at the top of AI-generated shortlists.

Dymatize occupies a clear third position with 24.8% recommendation coverage and a modeled monthly value of $84,539. While significantly behind the leaders, it maintains meaningful presence across all three public clusters. The remaining seven brands collectively capture less than 6% of total recommendation value, with several appearing in AI responses but rarely earning positive, ranked placements.

The commercial implication is direct. AI systems are not merely mentioning brands. They are building shortlists, and those shortlists are heavily concentrated. Brands outside the top three face a structural disadvantage in AI-driven buyer discovery that retail presence and traditional advertising alone cannot offset.

The AI Discovery Shift in Sports Nutrition

AI platforms are becoming the first stop for buyers researching protein powders, pre-workouts, and sports supplements. When a consumer asks ChatGPT or Perplexity for the best protein powder for muscle gain, the response is not a comprehensive brand catalog. It is a curated shortlist, typically three to five brands, with reasoning attached.

This changes the economics of brand discovery. Traditional visibility, appearing in search results, holding shelf space at retail, or running paid media, does not guarantee AI recommendation. The data shows that several well-known brands appear in AI responses but are rarely recommended. Being mentioned and being advanced to a buyer's shortlist are fundamentally different outcomes with very different commercial consequences.

The brands earning consistent recommendation credit share a common pattern: strong citation architecture, consistent positive framing across multiple source types, and clear differentiation signals that AI systems can retrieve, compare, and trust. Brands that lack this infrastructure appear in AI responses as background references rather than active recommendations.

Directional Category Leaders

1. Transparent Labs

Transparent Labs leads the category with a valid recommendation coverage of 45.9% across 899 observations. The brand achieves a rank-one rate of 20.0%, appearing as the top recommendation in one out of every five AI responses. Its average recommended rank of 1.61 is the strongest in the category, indicating that when it is recommended, it consistently lands near the very top of the shortlist.

Its modeled monthly captured recommendation value of $955,573 represents 58.3% of the total category opportunity. Performance is consistent across platforms, with particularly strong results on Copilot (73.1% positive visibility) and Perplexity (56.4% recommendation coverage). The brand carries a net sentiment score of 0.975, meaning virtually every AI mention is framed positively.

The public interpretation: Transparent Labs has built the strongest AI recommendation architecture in sports nutrition, earning top placement across multiple platforms and buyer stages.

2. Optimum Nutrition

Optimum Nutrition is the closest challenger, with a valid recommendation coverage of 45.8% and a rank-one rate of 19.6%. Its average recommended rank of 1.63 is nearly identical to the leader. The brand's modeled monthly value of $531,228 represents 32.4% of the category opportunity.

It shows particular strength on Google AI Overviews (48.1% coverage) and ChatGPT (37.5% coverage). The brand carries a higher neutral visibility rate than Transparent Labs at 7.3%, suggesting it is occasionally mentioned without strong endorsement, though its net sentiment score of 0.871 remains commercially solid. With a raw mention rate of 56.9%, the highest in the category, it benefits from a deep content footprint that AI systems retrieve consistently.

The public interpretation: Optimum Nutrition has successfully translated long-standing market presence into strong AI recommendation performance, though it trails Transparent Labs in recommendation value capture.

3. Dymatize

Dymatize holds a clear third position with 24.8% recommendation coverage and a modeled monthly value of $84,539. The brand appears in 31.4% of all observations, showing strong awareness, but its recommendation conversion rate lags the top two. Its rank-one rate of 2.8% contrasts sharply with the roughly 20% achieved by the leaders.

Performance is strongest on Google AI Overviews (39.4% recommendation coverage) and ChatGPT (31.7%). Its average recommended rank of 2.25 indicates it typically appears second or third in shortlists rather than first.

The public interpretation: Dymatize is a credible third player with solid AI visibility, but it has not yet developed the top-of-list dominance that drives the highest recommendation value.

4. Vital Proteins

Vital Proteins carries modest overall recommendation coverage of 3.6%, but it performs disproportionately well in evaluation and pricing clusters. In the pricing cluster, it achieves 5.7% recommendation coverage and a 5.7% rank-one rate, outperforming several larger brands. Its modeled monthly value of $51,875 is driven largely by these niche strengths rather than broad discovery-stage presence.

The public interpretation: Vital Proteins demonstrates that specialized brands can win in specific buyer moments even without discovery-stage dominance, provided their source content aligns with what AI systems retrieve for evaluation prompts.

5. Legion Athletics

Legion Athletics achieves 4.5% recommendation coverage with a net sentiment score of 0.977, among the highest in the category. The brand appears in 4.8% of observations and earns recommendations in 4.5%, showing strong conversion from visibility to recommendation. Its modeled monthly value of $8,346 is modest but reflects an efficient recommendation profile for a smaller brand.

The public interpretation: Legion Athletics converts visibility into recommendations at a high rate, suggesting strong source-layer support despite limited overall presence in the category.

The Buying Moments That Now Decide the Category

Discovery and Ranking

This is the largest and most commercially significant cluster, with 596 observations representing the majority of AI interactions. Buyers here are asking for the best protein powders, top-rated supplements, or recommended brands for specific goals. This cluster drives nearly all category recommendation value.

Transparent Labs dominates with a 50.8% top-three rate and a 29.7% rank-one rate. Optimum Nutrition follows at 51.0% top-three and 25.5% rank-one. Dymatize holds third at 28.4% top-three but only 3.5% rank-one. The remaining brands collectively capture less than 5% of recommendation value at this stage. The modeled monthly opportunity for this cluster is approximately $1.61 million, representing 98% of total category value. Winning at the discovery stage is not one battleground among several. It is the primary one.

Head-to-Head Evaluation

At 162 observations, this cluster captures buyers comparing specific brands or products directly. Optimum Nutrition leads here with 13.6% recommendation coverage and a 12.4% rank-one rate, suggesting its legacy positioning and product breadth give it an advantage when buyers are actively choosing between options. Transparent Labs drops to 4.3% coverage in this cluster. Vital Proteins shows relative strength at 5.6% coverage with a 4.3% rank-one rate. This cluster offers a meaningful opening for brands that may not win discovery-stage responses but can perform well in direct comparison prompts.

Pricing and Plan Evaluation

The smallest public cluster at 141 observations captures buyers evaluating cost and value. Vital Proteins leads with 5.7% recommendation coverage and a 5.7% rank-one rate. Optimum Nutrition matches at 5.7% coverage but with a 2.8% rank-one rate. Most brands show minimal presence here. This cluster rewards brands with strong pricing transparency and value framing in their source content.

Why Recommendation Power Is Concentrating

The concentration of recommendation power around Transparent Labs and Optimum Nutrition reflects a structural advantage in how AI systems build trust and retrieve brand information, not simply brand awareness or marketing spend.

Both leaders appear consistently across multiple source types, including official brand content, third-party review sites, head-to-head comparison articles, and community discussions. This multi-source presence gives AI systems confidence when deciding whether to recommend or merely acknowledge a brand. Citation breadth and source diversity are proxies for credibility in AI retrieval logic.

Transparent Labs benefits from exceptionally consistent positive framing. A net sentiment score of 0.975 means that across nearly all AI-retrieved content, the brand is presented favorably. This matters because AI systems weight sentiment when determining whether a brand earns active recommendation or passive mention. A brand that appears frequently in neutral or mixed contexts is less likely to advance in a shortlist response.

The brands that struggle in this category show a consistent failure pattern: moderate mention rates combined with weak recommendation conversion. They are being retrieved but not trusted enough to be advanced. Without deeper investment in the source layers that AI systems rely on, including review content, comparison content, editorial coverage, and official brand documentation, that gap is unlikely to close on its own.

The Category's Most Visible Warning Sign

BSN is the clearest warning in this dataset. The brand appears in 3.2% of all observations, giving it a baseline level of AI awareness. Its valid recommendation coverage, however, is only 2.2%, and its rank-one rate is just 0.3%. Its modeled monthly recommendation value is $500, compared to the category leader's $955,573.

That gap is not a rounding error. It is a structural failure of recommendation conversion. BSN is known to AI systems but is not trusted enough to be consistently recommended. It surfaces in factual references and neutral mentions but rarely earns the positive, ranked placement that moves buyers toward purchase.

For a brand with established market history and retail distribution, this represents a meaningful erosion of AI-driven discovery potential. The risk is not that BSN is unknown. The risk is that it is being seen but not chosen, and in an AI-mediated market, presence without recommendation credit is functionally close to invisibility.

What This Means for the Category

Shortlist compression is accelerating. Two brands now capture 91% of AI recommendation value in a market that includes ten tracked competitors and dozens of additional untracked brands. This pattern tends to intensify over time as AI systems become more consistent in their recommendation logic and buyers develop habits around AI-generated suggestions.

Competitor displacement is already visible in the data. Dymatize holds a defensible third position, but at roughly one-tenth the recommendation value of the top two. Brands like BSN, MusclePharm, and Ghost Lifestyle are being structurally excluded from AI shortlists, not because AI systems are unaware of them, but because those brands lack the source-layer evidence required for confident recommendation placement.

Trust-source dependency is the new competitive moat in this category. Brands that invest in diverse, positive, and citable content across review platforms, comparison articles, official channels, and community forums build an asset that compounds. Brands that rely on retail presence or paid media without a corresponding content and citation infrastructure will find AI discovery increasingly inaccessible.

For underperforming brands, closing the gap requires more than content volume. It requires stronger entity architecture, deliberate citation management, source-layer diversification, and alignment between what buyers ask AI systems and what those systems can confidently retrieve about the brand. Visibility without recommendation conversion is no longer a viable competitive position.

What This Public Benchmark Does Not Include

- Full cluster dataset covering all 10 buyer stages

- Prompt-level response tables showing exact AI outputs by platform

- Citation-source failure maps identifying which sources are missing or underperforming

- Platform-by-platform recovery priorities for each brand

- Entity and schema diagnostics for structured data readiness

- Source-layer gap analysis comparing brand content depth to competitor content depth

- Company-specific content recommendations for improving recommendation eligibility

- Exact competitor threat profiles showing which brands are displacing whom at the prompt level

- Full paid opportunity model with projected value by cluster and platform

This page shows the market shape. The paid report shows the repair map.

Methodology and Disclaimers

1. Market studied: Sports Nutrition and Protein Supplements, including protein powders, pre-workout supplements, and related sports nutrition products.

2. Brands and entities included: BSN, Cellucor, Dymatize, Gainful, Ghost Lifestyle, Legion Athletics, MusclePharm, Optimum Nutrition, Transparent Labs, Vital Proteins. This is not a complete market census.

3. Data collection window: May 2025, point-in-time snapshot.

4. AI platforms tested: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.

5. Observations analyzed: 899 total observations across all platforms and clusters.

6. Prompt categories: Discovery and ranking prompts (consideration stage), head-to-head comparison prompts (evaluation stage), and pricing and plan evaluation prompts (decision stage).

7. Definition of a mention: A mention means the company appeared in an AI-generated response, regardless of sentiment or ranking position.

8. Definition of a valid recommendation: A valid recommendation is a positive, shortlist-quality placement that earns recommendation credit. Visibility is not equivalent to recommendation credit.

9. Ranking and scoring metrics used: Valid recommendation coverage, top-three rate, rank-one rate, average recommended rank, positive visibility rate, net sentiment score, and modeled monthly captured recommendation value.

10. Limitations: This is a point-in-time benchmark. AI outputs change with model updates, prompt variations, and source changes. Modeled values are estimates based on recommendation frequency and rank position, not actual revenue figures. This report is not a full audit or complete market census.

For a Company-Specific Authority Index Report

For a company-specific Authority Index report, the deeper analysis would show which prompts each company wins or loses, which AI platforms are under-recognizing the brand, which source layers are shaping recommendations, and what changes may improve AI shortlist eligibility.