CiteWorks Studio

Optimum Nutrition AI Market Strategy Report - Sports Nutrition and Protein Supplements

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Optimum Nutrition led the category with 83.3% valid recommendation coverage, 70.2% top-three placement, and a 39.6% rank-one recommendation rate.
  • Transparent Labs narrowed the recommendation coverage gap from 6.7 points in August to 1.9 points in September, making it the clearest competitive threat.
  • Perplexity was the main platform weakness, where Optimum Nutrition appeared often but converted far fewer answers into first-position recommendations than Transparent Labs.
  • The benchmark measured only Brand Recommendation prompts, leaving pricing, value, and direct comparison behavior untested in this dataset.

Answer Capsule

Optimum Nutrition remains the recommendation leader in the Sports Nutrition and Protein Supplements category, holding 83.3% valid recommendation coverage in September 2026. The brand was named in 91.6% of qualified AI answers and recommended in the top three positions in 70.2% of them. Its clearest strength is rank-one recommendation power, where it leads the category at 39.6%. Its clearest weakness is a narrowing lead over Transparent Labs, which closed the coverage gap from 6.7 points in August 2026 to 1.9 points in September 2026. The clearest opportunity is defending first-position recommendations in the high-intent prompt clusters where the two brands now compete almost evenly.

Who This Report Is For

This report is written for Optimum Nutrition's brand, growth, and ecommerce leadership, and for category strategists tracking how AI systems recommend sports nutrition and protein supplement brands at the decision moment.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Optimum Nutrition

Category / market studied

Sports Nutrition and Protein Supplements

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1 qualified (Brand Recommendation)

AI observations analyzed

695 qualified observations

Competitors tracked

9

Executive Summary

Optimum Nutrition holds the strongest recommendation position in the Sports Nutrition and Protein Supplements category for September 2026. The brand recorded 637 mentions across 695 qualified observations, a raw mention presence rate of 91.6%, and converted 579 of those into valid recommendations, a valid recommendation coverage of 83.3%. It also produced 488 top-three recommendations and 275 rank-one recommendations, the highest counts in the category on both measures.

The brand's framing is almost entirely positive. Of its 637 mentions, 607 were positive and 30 were neutral, with zero negative mentions recorded. That produces a net sentiment score of 0.9529, which places Optimum Nutrition among the strongest framing profiles in the benchmark alongside Transparent Labs at 0.9814.

The strongest cluster is the Brand Recommendation cluster, which is also the only cluster with qualified observations in the September 2026 public benchmark. All 695 qualified observations fell into this class, meaning the public series currently measures recommendation behavior only. Pricing and Value and Multi-Brand Comparison clusters recorded zero qualified observations, so the benchmark cannot yet speak to how AI systems frame Optimum Nutrition on price or in direct head-to-head comparisons.

The clearest competitive signal is the narrowing gap at the top. Optimum Nutrition's valid recommendation coverage slipped 1.5 points from 84.8% in August 2026 to 83.3% in September 2026, while Transparent Labs rose 3.3 points from 78.1% to 81.4%. The leadership margin fell from 6.7 points to 1.9 points in a single month.

Platform behavior is consistent rather than concentrated. Optimum Nutrition leads or nearly leads on every tracked surface. Its strongest platform signal by rank-one rate is AI Overviews at 53.61%, followed by Gemini at 40.23%, ChatGPT at 37.29%, Copilot at 37.04%, AI Mode at 36.36%, and Perplexity at 18.39%. Perplexity is the clearest platform gap, where Transparent Labs holds a 51.72% rank-one rate against Optimum Nutrition's 18.39%.

The clearest cluster-level gap is structural rather than competitive. Because the benchmark contains no qualified Pricing and Value or Multi-Brand Comparison observations, Optimum Nutrition's recommendation strength is proven in consideration-stage discovery but unmeasured in the pricing and comparison stages where buyers often finalize a shortlist.

What Optimum Nutrition Is Winning

Questions This Section Answers

  • How dominant is Optimum Nutrition's first-position recommendation share across the category?
  • Which recommendation metrics place Optimum Nutrition ahead of Transparent Labs and Dymatize?

Optimum Nutrition holds the category's strongest overall recommendation position. Its 83.3% valid recommendation coverage is the highest of the ten tracked brands, and its 91.6% raw mention presence rate means it appears in nearly every qualified AI answer in the category.

The brand owns first-position recommendations. Its 275 rank-one recommendations and 39.6% rank-one rate are both category highs, ahead of Transparent Labs at 237 and 34.1%. Its average recommended rank of 1.80 is also the best in the benchmark, ahead of Transparent Labs at 2.00 and Dymatize at 2.61.

Its top-three rate of 70.2% is the highest in the category, and its 488 top-three recommendations exceed every competitor. On AI Overviews, the brand's strongest surface, it recorded a 53.61% rank-one rate and a 77.32% top-three rate, the highest single-platform rank-one figure in the dataset.

The brand also carries no negative framing. Zero negative mentions were recorded across 637 mentions in September 2026, and its net sentiment score of 0.9529 reflects a mention base that is 95.3% positive.

Where Optimum Nutrition Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why is Perplexity the clearest platform gap for Optimum Nutrition?
  • How close is Transparent Labs to closing the recommendation coverage gap?
  • What does the absence of qualified Pricing and Value and Multi-Brand Comparison observations mean for Optimum Nutrition's benchmark coverage?

The most material gap is the shrinking distance to Transparent Labs. Optimum Nutrition's coverage fell 1.5 points month over month while Transparent Labs gained 3.3 points, reducing the leadership margin to 1.9 points. The benchmark classified Optimum Nutrition's movement as stable rather than significant, but the direction of travel at the top of the category has changed.

Perplexity is the clearest platform-level gap. Optimum Nutrition holds an 18.39% rank-one rate on Perplexity against Transparent Labs at 51.72%, and a 55.17% top-three rate against Transparent Labs at 66.67%. On this surface, Optimum Nutrition is present in 82.76% of qualified observations but is recommended first far less often than its category position would suggest.

The brand is also visible but under-recommended relative to its presence on Copilot. It appears in 83.95% of Copilot observations and converts 77.78% into valid recommendations, but its rank-one rate of 37.04% is level with Transparent Labs at 37.04% on the same surface, despite a much larger overall presence advantage elsewhere.

The structural gap is the absence of qualified Pricing and Value and Multi-Brand Comparison observations. Optimum Nutrition's recommendation strength is documented in consideration-stage discovery, but the benchmark cannot yet show whether that strength holds when buyers ask AI systems to compare brands directly or evaluate value.

Biggest Opportunity

The clearest opportunity is defending and extending first-position recommendation share in the Brand Recommendation cluster, where Optimum Nutrition and Transparent Labs now compete within 1.9 points of coverage. The brand already converts presence into recommendation at a high rate, so the highest-leverage work is protecting rank-one outcomes on the surfaces where its lead is thinnest, particularly Perplexity, and reinforcing the prompt and citation layers that support first-position recommendations in the core discovery queries.

Competitive Landscape

Questions This Section Answers

  • Which brands hold recommendation-stage strength in the Sports Nutrition and Protein Supplements category?
  • On which metrics does Optimum Nutrition lead the category, and where does Transparent Labs outperform it?

Optimum Nutrition and Transparent Labs hold recommendation-stage strength in this category, with Dymatize a clear but distant third. Optimum Nutrition leads on coverage, top-three rate, rank-one rate, and average recommended rank, while Transparent Labs leads on net sentiment and is closing the coverage gap.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Optimum Nutrition

70.22%

39.57%

1.80

0.9529

Transparent Labs

67.34%

34.10%

2.00

0.9814

Dymatize

56.55%

5.61%

2.61

0.9580

Isopure

10.36%

2.30%

3.47

0.9121

Legion Athletics

5.32%

0.14%

3.83

0.9537

MuscleTech

5.18%

0.29%

3.25

0.7895

BSN

3.02%

0.00%

3.42

0.7818

Kaged

1.87%

0.14%

4.09

0.8409

GNC

1.44%

0.58%

2.79

0.1450

Muscle Milk

0.72%

0.00%

4.74

0.6562

Average recommended rank covers rank-eligible recommendations only.

Optimum Nutrition sits first in the table on top-three rate, rank-one rate, and average recommended rank, and second on sentiment behind Transparent Labs. The numbers show a brand that is both widely present and consistently placed at the top of recommendation lists, with its closest competitor now within roughly three points of top-three rate and five points of rank-one rate.

Prompt Evidence

AI Overviews / Brand Recommendation Prompt: "best tasting protein powder" Result: Optimum Nutrition recorded its highest single-platform rank-one rate here at 53.61%, converting presence into first-position recommendations more often than on any other surface.

Perplexity / Brand Recommendation Prompt: "Which protein powder brand is best?" Result: Optimum Nutrition was present in 82.76% of Perplexity observations but recommended first in only 18.39%, while Transparent Labs reached a 51.72% rank-one rate on the same surface.

AI Mode / Brand Recommendation Prompt: "whey isolate protein powder" Result: The brand appeared in 93.58% of AI Mode observations and converted 85.03% into valid recommendations, with a 36.36% rank-one rate.

ChatGPT / Brand Recommendation Prompt: "Which protein powder is best for lactose intolerance?" Result: Optimum Nutrition held a 98.31% presence rate and an 88.14% valid recommendation coverage on ChatGPT, with a 37.29% rank-one rate.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every qualified prompt, surface, and recommendation outcome behind Optimum Nutrition's 83.3% coverage to identify exactly where first-position recommendations are won and lost.

Phase 2: Recommendation Readiness Plan Prioritize the surfaces and prompt types where the brand is present but not recommended first, with Perplexity as the clearest starting point.

Phase 3: Owned Answer Layer Buildout Strengthen the owned pages and product content that AI systems retrieve when forming recommendation lists in the Brand Recommendation cluster.

Phase 4: Citation / Authority Layer Development Develop the public evidence layer, including third-party sources and comparison-friendly content, that supports first-position recommendations across surfaces.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment monthly against Transparent Labs and Dymatize to catch movement before it becomes a category shift.

Why This Matters

Optimum Nutrition is winning the recommendation stage today, but the margin is narrowing. A 1.9-point coverage gap and a competitor gaining 3.3 points in a single month is the kind of movement that changes buyer shortlists before it shows up in any traditional performance metric. AI systems are now where a meaningful share of buyers form their first shortlist, and the brand that is recommended first in those answers carries an advantage that presence alone does not create.

Presence is not the same as recommendation. Optimum Nutrition already appears in 91.6% of qualified answers, so the remaining opportunity is not about being seen. It is about being chosen first, consistently, across every surface and every high-intent prompt. That requires targeted work on the prompt, page, and citation layers that shape how AI systems frame and rank the brand at the decision moment.

Core Metrics

Metric

Value

Mentions

637

Valid recommendations

579

Top 3 recommendation count

488

Rank #1 recommendation count

275

Average recommended rank

1.80

Positive mentions

607

Neutral mentions

30

Negative mentions

0

Raw mention presence rate

91.65%

Valid recommendation coverage

83.31%

Top 3 recommendation rate

70.22%

Rank #1 recommendation rate

39.57%

Net sentiment score

0.9529

Strongest cluster by recommendation behavior

Brand Recommendation

Strongest platform by recommendation behavior

AI Overviews

Sentiment Score

Questions This Section Answers

  • Why is a positive recommendation different from a neutral mention or comparison anchor?
  • What does Optimum Nutrition's zero negative mentions reveal about its competitive exposure?

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Optimum Nutrition in September 2026, that is (607 × 1 + 30 × 0 + 0 × -1) / 637, which produces a net sentiment score of 0.9529.

This matters because unclassified mention counts are misleading. A brand can appear in hundreds of AI answers and still lose the recommendation if those mentions are neutral references, cautionary notes, or comparison anchors. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal outcomes, and counting them all as wins is bad measurement.

Optimum Nutrition's profile is unusually clean. With zero negative mentions and only 30 neutral mentions across 637 total, the brand's framing is almost entirely positive. That is a genuine strength, but it also means the brand's remaining risk is not sentiment deterioration. It is recommendation displacement, where a competitor is recommended first in a conversation where Optimum Nutrition is still mentioned positively. Classified sentiment is required before interpreting AI visibility, and in this case it shows a brand whose framing is strong and whose competitive exposure sits in placement rather than tone.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

AI Overviews

182

171

11

0

0.9396

Strongest public recommendation signal

AI Mode

175

168

7

0

0.9600

Strongest public recommendation signal

Gemini

82

79

3

0

0.9634

Strongest public recommendation signal

Perplexity

72

70

2

0

0.9722

Present, but not recommendation-led

Copilot

68

64

4

0

0.9412

Present, but not recommendation-led

ChatGPT

58

55

3

0

0.9483

Strongest public recommendation signal

Methodology

  1. This report is a benchmark-based analysis of Optimum Nutrition's position in the Sports Nutrition and Protein Supplements category, drawing on the LLM Authority Index AI Market Discovery Index and the associated September 2026 metrics aggregation.
  2. The reporting window is September 2026, with August 2026 included for month-over-month comparison.
  3. Six AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. Keyword variants were rolled up into their parent surface families.
  4. The September 2026 benchmark began with 800 prompt-surface observations and produced 695 qualified observations after relevance screening and qualification. August 2026 produced 684 qualified observations from the same starting volume.
  5. The competitor universe contains ten tracked brands: Optimum Nutrition, Transparent Labs, Dymatize, Isopure, Legion Athletics, MuscleTech, BSN, Kaged, Muscle Milk, and GNC.
  6. The public benchmark contains one qualified buyer-intent cluster, Brand Recommendation. Pricing and Value and Multi-Brand Comparison clusters recorded zero qualified observations in both months.
  7. Stage 0 extraction retains the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is counted when a brand is named anywhere in a qualified AI answer, regardless of whether it was recommended.
  9. A valid recommendation is counted when a brand appears in a genuine recommendation shortlist. Simple mentions, neutral references, and comparison anchors are excluded unless the dataset explicitly marks them as valid recommendations.
  10. Brand-level percentages use the 695 qualified observations as the public denominator, not the raw collection of 800 prompts.
  11. The benchmark does not measure market share, sales, attributable revenue, organic-search ranking positions, social mention volume, or private and gated channels. Movement between months is recorded as observation, not attributed causation.
  12. Small absolute counts for lower-coverage brands mean percentage movements can appear larger than their commercial weight. Optimum Nutrition's counts are large enough that its percentage movements reflect meaningful volume.

See How AI Is Recommending Your Brand

The public benchmark shows where Optimum Nutrition stands in AI recommendations across the category. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and evidence sources behind those numbers, so the next move is targeted rather than reactive.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

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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