CiteWorks Studio

Legion Athletics AI Market Strategy Report — Sports Nutrition and Protein Supplements

Mark HuntleyBy Mark HuntleyFounder and CEO
6 minutes read

On this report

Key Takeaways

  • Legion Athletics is visible as a specialist in sports nutrition, especially in whey, casein, and pre-workout prompts.
  • The brand converts most appearances into valid recommendations, supported by very strong sentiment.
  • Discovery prompts perform better than comparison and pricing prompts, where Legion does not earn ranked placements.
  • The main growth opportunity is broader shortlist durability through stronger comparison coverage and third-party evidence.

This is an independent public analysis by CiteWorks Studio / LLM Authority Index. It is not affiliated with, endorsed by, or sponsored by Legion Athletics unless explicitly stated.

Answer Capsule

Legion Athletics is a real AI-visible brand in this category, but it is still a specialist rather than a default shortlist leader. It appears in 43 of 899 observations and earns 40 valid recommendations, which gives it strong recommendation quality relative to its scale.

Its clearest strength is clean recommendation framing in discovery prompts, especially around whey, casein, and pre-workout. Its clearest weakness is breadth: comparison and pricing prompts do not convert into ranked placements.

The biggest opportunity is to extend Legion’s evidence-backed specialist reputation into broader buyer-shortlist moments where AI systems still default to Optimum Nutrition, Transparent Labs, and Dymatize.

Who This Report Is For

CMOs, brand leaders, ecommerce and growth teams, agency partners, and communications teams in supplements and performance nutrition who need to know whether AI systems see Legion Athletics as a niche specialist or a category-wide recommendation brand.

Report Card

Field

Value

Report type

AI Market Strategy Report

Target company

Legion Athletics

Category

Sports Nutrition and Protein Supplements

Reporting month

May 2026

AI platforms tracked

6

Public high-intent clusters

3

AI observations analyzed

899

Competitors tracked

BSN, Cellucor, Dymatize, Gainful, Ghost Lifestyle, MusclePharm, Optimum Nutrition, Transparent Labs, Vital Proteins

Executive Summary

Legion Athletics appears in 43 of 899 observations and records 40 valid recommendations. Presence is not preference, but in Legion’s case the brand converts most of its appearances into recommendation-stage inclusion.

Best Athletic Equipment Discovery carries the entire ranked footprint. It posts a 4.19% top-3 rate and a 0.34% rank-1 rate there, while Athletic Equipment Comparison and Athletic Equipment Pricing produce no ranked placements at all.

Across platforms, Google AI Mode gives Legion its broadest positive visibility at 12.22%. Perplexity is the only meaningful rank-1 surface at 1.82%, and sentiment is exceptionally favorable overall with 42 positive mentions, 1 neutral mention, and 0 negative mentions.

What Legion Athletics Is Winning

Legion is winning specialist credibility. AI systems repeatedly surface the brand in clean-label whey, casein, and pre-workout contexts, which suggests that its formulation story is legible and recommendation-ready.

The sentiment profile is unusually strong. With a 0.9767 net sentiment score and almost no neutral spillover, Legion shows up as a trusted option when it enters the answer set.

Where Legion Athletics Has the Clearest AI Visibility Gaps

The first gap is category scale. A 4.78% raw mention presence rate and 4.45% valid recommendation coverage are respectable for a specialist, but they are still far below the brands that dominate mainstream supplement shortlists.

The second gap is buyer-journey breadth. Legion shows clear strength in discovery, but comparison and pricing prompts generate no ranked conversion, which means the brand is not yet durable across the full decision path.

Biggest Opportunity

Push Legion from specialist recommendation brand toward broader shortlist durability. The brand already has the trust and clarity to appear in high-intent answers, but it needs stronger comparison coverage, value framing, and broader public evidence so AI systems can advance it in more general “best brand” moments.

Competitive Landscape

This category still concentrates recommendation power at the top. Ordered by top-3 rate, Legion Athletics sits fifth in the tracked set: ahead of the smaller fringe players, but clearly behind the three dominant brands and just behind Vital Proteins.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Optimum Nutrition

37.15%

19.58%

1.63

0.87

Transparent Labs

34.59%

20.02%

1.61

0.97

Dymatize

19.47%

2.78%

2.25

0.87

Vital Proteins

3.00%

2.22%

1.41

0.67

Legion Athletics

2.78%

0.22%

2.44

0.98

BSN

1.45%

0.33%

2.31

0.72

Cellucor

1.11%

0.56%

1.80

0.81

Ghost Lifestyle

0.56%

0.11%

2.60

0.83

Gainful

0.44%

0.44%

1.00

1.00

MusclePharm

0.22%

0.00%

2.50

0.83

Average recommended rank covers rank-eligible recommendations only.

Prompt Evidence

ChatGPT / Best Athletic Equipment DiscoveryWhat is the #1 doctor-recommended protein shake? Legion appears directly in the answer through Legion Whey+ Whey Protein Isolate.

Google AI Mode / Best Athletic Equipment Discoverybest casein protein Legion is explicitly named through Legion Casein+, showing relevance in casein-focused buying prompts.

Google AI Mode / Best Athletic Equipment Discoverythe best pre workout Legion appears directly through Legion Athletics Pulse, which shows clear pre-workout visibility.

Google AI Overviews / Best Athletic Equipment Discoverybest workout supplement companies Legion Athletics is named directly as a company associated with evidence-based ingredients.

Perplexity / Best Athletic Equipment DiscoveryWhich brand is best for whey protein powder? Legion appears explicitly through Legion Whey+, confirming repeated whey-protein relevance.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit

Map the discovery, comparison, and pricing prompts where Legion is present, displaced, or recommended. The goal is to separate its specialist wins from the larger category moments it still misses.

Phase 2: Recommendation Readiness Plan

Prioritize the clusters where Legion is visible but under-converting. Comparison and pricing are the clearest targets because discovery already carries the brand.

Phase 3: Owned Answer Layer Buildout

Build answer-ready pages around whey isolate, casein, pre-workout selection, ingredient transparency, use-case fit, and head-to-head comparisons. Legion needs stronger public assets for broader shortlist generation.

Phase 4: Citation / Authority Layer Development

Strengthen the third-party evidence layer across reviews, comparison articles, community discussion, and validation from fitness and nutrition publishers. The aim is to make Legion easier for AI systems to recommend beyond specialist niches.

Phase 5: Monthly AI Visibility & Recommendation Tracking

Track whether Legion expands from discovery-stage specialist inclusion into broader recommendation durability by platform and cluster. The current footprint is promising but still uneven.

Why This Matters

Legion Athletics is already more than a fringe mention in this category. It has a recognizable specialist lane, and AI systems often treat it favorably when it appears.

That is not yet enough to shape mainstream market access. In a category where AI shortlists are compressing buyer choice, Legion’s next step is not credibility creation but recommendation expansion.

Core Metrics

Metric

Value

Mentions

43

Valid recommendations

40

Top 3 recommendation count

25

Rank #1 recommendation count

2

Average recommended rank

2.44 (rank-eligible recommendations only; Athletic Equipment Comparison and Athletic Equipment Pricing carried no ranked positions)

Positive mentions

42

Neutral mentions

1

Negative mentions

0

Raw mention presence rate

4.78%

Valid recommendation coverage

4.45%

Top 3 recommendation rate

2.78%

Rank #1 recommendation rate

0.22%

Net sentiment score

0.9767

Sentiment & Recommendation by Platform

Platform

Positive visibility rate

Rank-1 rate

Readout

ChatGPT

0.83%

0.00%

Minimal presence, no rank-1 conversion

Copilot

0.84%

0.00%

Limited visibility, no rank-1 support

Gemini

0.83%

0.00%

Small footprint, no rank-1 conversion

Google AI Mode

12.22%

0.00%

Broadest positive visibility surface

Google AI Overviews

1.92%

0.00%

Some presence, but no rank-1 support

Perplexity

7.27%

1.82%

Strongest rank-1 surface for the brand

Methodology

This is a one-company report. All other tracked brands are treated as competitors relative to Legion Athletics.

Reporting month: May 2026. The dataset was extracted in May 2026. Six AI environments were tracked: ChatGPT, Gemini, Perplexity, Copilot, Google AI Mode, and Google AI Overviews. The packet covers 899 observations across the category.

Normalized public clusters from stage 0 are: Best Athletic Equipment Discovery, Athletic Equipment Comparison, and Athletic Equipment Pricing. A mention counts when Legion appears in any form; a valid recommendation requires positive, shortlist-quality inclusion.

Per the dataset’s methodology inputs, sentiment scoring is: “negative = -1, neutral = 0, positive = 1.” Rank eligibility is: “Only positive valid recommendations receive rank credit.” That means average recommended rank reflects rank-eligible recommendations only.

This is a point-in-time packet. AI outputs shift with platform updates, prompt phrasing, geography, personalization, and source-ecosystem changes.

Request an AI Visibility Audit

CiteWorks Studio produces AI Market Strategy Reports showing where your brand appears, disappears, or gets recommended across ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, and Google AI Overviews. Request an AI Visibility Audit.

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About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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