BSN AI Visibility Market Strategy Report - Sports Nutrition and Protein Supplements

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • BSN was mentioned in 7.23% of qualified observations, but valid recommendation coverage was lower at 5.20%.
  • The brand recorded zero rank-one recommendations and only a 1.88% top-three rate in October 2026.
  • BSN’s sentiment was positive overall, with 39 positive mentions and no negative mentions.
  • Copilot and Gemini were BSN’s strongest platforms, while AI Overviews and AI Mode showed weak recommendation presence.

Answer Capsule

BSN holds a measurable but limited position in AI-generated recommendations for sports nutrition and protein supplements, with a valid recommendation coverage of 5.20% in October 2026. The brand appears in 7.23% of qualified AI observations but converts only a fraction of that presence into shortlist placements, and it recorded no rank-one recommendations during the reporting month. BSN's clearest weakness is its declining presence and placement across the August 2026 to October 2026 series, while its clearest opportunity sits in the high-intent Brand Recommendation cluster where category leaders are being shortlisted far more often.

Who This Report Is For

This report is written for BSN's brand, growth, and ecommerce leadership, and for category strategists who need to understand how AI systems are recommending sports nutrition and protein supplement brands at the decision moment.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

BSN

Category / market studied

Sports Nutrition and Protein Supplements

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

1 with qualified data (Brand Recommendation)

AI observations analyzed

692 qualified observations

Competitors tracked

9

Executive Summary

BSN is present in AI-generated recommendations for sports nutrition and protein supplements, but its recommendation power is limited and trending downward. The brand recorded 50 mentions across 692 qualified observations in October 2026, producing a raw mention presence rate of 7.23% and a valid recommendation coverage of 5.20%. That gap between being named and being shortlisted is one of the wider divergences among the tracked brands.

The brand's strongest signal in October 2026 was sentiment. BSN recorded 39 positive mentions, 11 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.78. That places BSN in the upper half of the tracked set on framing quality, ahead of GNC, MuscleTech, and Muscle Milk, though behind category leaders Optimum Nutrition and Transparent Labs.

The weakest signal is placement. BSN's top-three recommendation rate was 1.88% in October 2026, and its rank-one rate was 0.00%. The brand was recommended in a top-three position in only 13 of 692 qualified observations and was never the single first recommendation. That is the clearest indication that BSN is being surfaced as context rather than as a primary choice.

The strongest cluster for BSN is the Brand Recommendation cluster, which is also the only cluster with qualified data in the public benchmark. All 692 qualified observations fell into this cluster in October 2026. The Pricing and Value and Multi-Brand Comparison clusters carry no qualified observations in the public series, so the benchmark cannot yet speak to how BSN performs on cost or head-to-head tradeoff questions.

The strongest platform signal for BSN came from Gemini, where the brand recorded a valid recommendation coverage of 11.76% and a top-three rate of 2.35%. Copilot also showed meaningful presence, with a valid recommendation coverage of 14.46%. The weakest platform signal came from Perplexity, where BSN recorded a valid recommendation coverage of 5.62% and no rank-one placements, and from AI Overviews, where coverage was 2.65%.

The clearest gap is the distance between BSN and the category leaders. Optimum Nutrition and Transparent Labs both reached a 75.14% top-three rate in October 2026, while BSN reached 1.88%. The brand is not competing for the same shortlist positions as the leaders, and its presence has declined across the three measured months.

What BSN Is Winning

Questions This Section Answers

  • Where does BSN perform best across AI platforms in October 2026?
  • How does BSN's sentiment profile compare with competitors like GNC and Muscle Milk?

BSN's clearest win in October 2026 is its sentiment profile. The brand recorded zero negative mentions across 692 qualified observations, and its net sentiment score of 0.78 is higher than GNC (0.14), MuscleTech (0.77), and Muscle Milk (0.54). Positive framing is a foundation that can support recommendation growth if the brand's presence and placement improve.

BSN also holds a measurable position on Copilot, where its valid recommendation coverage reached 14.46% and its top-three rate reached 4.82%. That is the brand's strongest platform-level recommendation signal in the dataset. Gemini also showed a valid recommendation coverage of 11.76%, suggesting that BSN has a foothold on two platforms where AI systems are willing to include the brand in shortlists.

These wins are narrow. BSN does not lead any cluster, does not hold a rank-one position on any platform, and does not appear in the top tier of any recommendation metric. The brand's position is best described as visible but under-recommended.

Where BSN Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why is BSN mentioned in AI answers but rarely shortlisted?
  • Which platforms contribute most to BSN's declining recommendation presence?
  • How far behind Transparent Labs has BSN fallen across the measured months?

BSN's most significant gap is recommendation conversion. The brand was present in 50 of 692 qualified observations but received valid recommendation credit in only 36. Its top-three rate of 1.88% and rank-one rate of 0.00% place it near the bottom of the tracked set on placement. Competitors like Isopure, with a 12.14% top-three rate, and Legion Athletics, with an 8.09% top-three rate, are converting their presence into shortlist positions at a much higher rate.

The second gap is declining presence. BSN's raw mention presence rate fell from 10.4% in August 2026 to 7.2% in October 2026, a drop of 3.2 points. Its valid recommendation coverage fell from 8.2% to 5.2% over the same period, a decline of 3.0 points. The brand has declined in each month of the series, and the October 2026 reading is 0.7 points below its September 2026 figure.

The third gap is platform concentration. BSN's recommendation signal is concentrated on Copilot and Gemini, while its presence on AI Overviews and AI Mode is minimal. On AI Overviews, BSN recorded a valid recommendation coverage of 2.65% and a top-three rate of 1.59%. On AI Mode, coverage was 1.62% with no top-three placements. These are high-volume surfaces where the brand is largely absent from recommendation consideration.

The fourth gap is the widening distance from Transparent Labs. The BSN-to-Transparent Labs coverage gap widened by 7.3 points across the series, from 69.9 points in August 2026 to 77.2 points in October 2026. As the top two brands converge, the lower half of the vertical, including BSN, is drifting further behind.

Biggest Opportunity

Questions This Section Answers

  • What would it take for BSN to earn a first-position recommendation from AI systems?
  • Which product attributes could help BSN convert shortlist mentions into top-three placements?

BSN's clearest path from reference to recommendation runs through the Brand Recommendation cluster, where all qualified observations sit. The brand already has positive sentiment and a measurable presence on Copilot and Gemini. The opportunity is to convert that presence into top-three placements by strengthening the public evidence layer that AI systems retrieve when forming recommendation shortlists.

The specific opportunity is to increase BSN's rank-one rate from zero. The brand received 36 valid recommendations in October 2026 but was never the first recommendation. Moving from a shortlist mention to a first-position recommendation requires the brand to be associated with the specific attributes that AI systems use to differentiate options within the category, such as product format, protein type, and use case. The benchmark data shows that BSN's positive mentions are concentrated in the Brand Recommendation cluster, which suggests the brand is being considered but not prioritized.

Competitive Landscape

Questions This Section Answers

  • Where does BSN rank against the nine tracked competitors on top-three recommendation rate?
  • How do BSN's sentiment and placement metrics compare with Optimum Nutrition and Transparent Labs?

Optimum Nutrition and Transparent Labs hold recommendation-stage strength in the sports nutrition and protein supplements category, both reaching a 75.14% top-three rate in October 2026. Dymatize holds a stable third position at 60.12%. BSN sits in the lower tier of the tracked set, with a 1.88% top-three rate and no rank-one placements.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Optimum Nutrition

75.14%

41.62%

1.79

0.9403

Transparent Labs

75.14%

36.99%

1.89

0.9812

Dymatize

60.12%

5.06%

2.66

0.9410

Isopure

12.14%

3.76%

3.27

0.8689

Legion Athletics

8.09%

0.72%

3.40

0.9640

MuscleTech

4.62%

0.00%

3.28

0.7714

GNC

2.75%

1.01%

2.57

0.1414

Kaged

2.46%

0.29%

4.00

0.9318

BSN

1.88%

0.00%

3.58

0.7800

Muscle Milk

1.16%

0.43%

3.36

0.5357

Average recommended rank covers rank-eligible recommendations only.

BSN ranks ninth out of ten tracked brands on top-three rate and is one of two brands with no rank-one recommendations in October 2026. The table shows that BSN's sentiment score is competitive with the mid-tier, but its placement metrics sit at the bottom of the set. The brand is being mentioned positively without being recommended prominently.

Prompt Evidence

Gemini / Brand Recommendation Prompt: "What brand is the best for protein powder?" Result: BSN received a valid recommendation in this cluster on Gemini, contributing to its 11.76% platform-level coverage, but did not reach a top-three position.

Copilot / Brand Recommendation Prompt: "Which is the most recommended protein powder?" Result: BSN appeared in a top-three position on Copilot, where its top-three rate reached 4.82%, the brand's strongest placement signal across platforms.

AI Overviews / Brand Recommendation Prompt: "Which protein powder brand is best?" Result: BSN recorded a valid recommendation coverage of 2.65% on AI Overviews, with a top-three rate of 1.59%, indicating minimal recommendation presence on this surface.

Perplexity / Brand Recommendation Prompt: "Which protein powder is best overall?" Result: BSN received a valid recommendation coverage of 5.62% on Perplexity but recorded no rank-one placements, reflecting the brand's broader pattern of presence without first-position strength.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts and platforms where BSN is present but not recommended, and identify which competitors are capturing the shortlist positions the brand is losing.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and platforms where BSN's positive sentiment can be converted into top-three placements, starting with Copilot and Gemini where the brand already has a foothold.

Phase 3: Owned Answer Layer Buildout Strengthen the brand-owned content that AI systems retrieve when forming recommendations, with a focus on the product attributes and use cases that differentiate BSN within the Brand Recommendation cluster.

Phase 4: Citation and Authority Layer Development Develop the third-party source footprint that AI systems cite when recommending sports nutrition brands, targeting the editorial, retailer, and review domains that appear most frequently in the category's citation layer.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track BSN's presence, recommendation coverage, top-three rate, and rank-one rate on a monthly basis to measure whether the brand is closing the gap to the category leaders.

Why This Matters

AI presence alone is not enough. BSN is mentioned in 7.23% of qualified observations but recommended in only 5.20%, and it holds no rank-one positions. The brands that buyers see first are Optimum Nutrition and Transparent Labs, both of which convert more than 75% of their qualified observations into top-three recommendations. BSN's positive sentiment is an asset, but it is not yet translating into shortlist placement.

The next move is targeted correction of the prompt, page, and citation layers. BSN needs to be associated with the specific attributes that AI systems use to differentiate options within the Brand Recommendation cluster, and the brand's public evidence layer needs to support retrievability on the platforms where it is currently underrepresented. The benchmark shows where the brand is losing; a company-level audit shows why.

Core Metrics

Metric

Value

Mentions

50

Valid recommendations

36

Top 3 recommendation count

13

Rank #1 recommendation count

0

Average recommended rank

3.58

Positive mentions

39

Neutral mentions

11

Negative mentions

0

Raw mention presence rate

7.23%

Valid recommendation coverage

5.20%

Top 3 recommendation rate

1.88%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.78

Strongest cluster by recommendation behavior

Brand Recommendation

Strongest platform by recommendation behavior

Copilot

Sentiment Score

Questions This Section Answers

  • How is BSN's sentiment score calculated in the October 2026 benchmark?
  • Why is classified sentiment more useful than raw mention counts for interpreting BSN's AI visibility?

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

For BSN in October 2026, the calculation is (39 × 1 + 11 × 0 + 0 × -1) / 50, which produces a sentiment score of 0.78.

This matters because unclassified mention counts are misleading. A brand that is mentioned frequently but framed negatively is not in the same position as a brand that is mentioned less often but framed positively. 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, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates brands that are being recommended from brands that are being discussed.

BSN's sentiment score of 0.78 indicates that the brand's mentions are predominantly positive. The brand recorded no negative mentions in October 2026. That is a foundation that can support recommendation growth, but it does not by itself produce shortlist placement.

Sentiment by Platform

Questions This Section Answers

  • Which AI platforms show the strongest recommendation signal for BSN?
  • Where is BSN being mentioned positively but not recommended?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

2

2

0

0

1.00

Positive, but sample too small

Copilot

17

12

5

0

0.71

Strongest public recommendation signal

Gemini

14

11

3

0

0.79

Present, but not recommendation-led

Perplexity

5

5

0

0

1.00

Positive, but sample too small

AI Overviews

6

5

1

0

0.83

Present as context, not recommendation

AI Mode

6

4

2

0

0.67

Present, but not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of BSN's AI recommendation visibility in the sports nutrition and protein supplements category. It is not a client result and does not imply that CiteWorks Studio caused any benchmark outcome.
  2. The reporting month is October 2026, with comparison data from August 2026 and September 2026 where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. Keyword variants were rolled up into their parent surface families.
  4. The October 2026 benchmark produced 692 qualified observations after relevance screening and qualification. The raw collection began with 800 prompt-surface observations.
  5. Ten brands were tracked in the competitor universe: Optimum Nutrition, BSN, Dymatize, GNC, Isopure, Kaged, Legion Athletics, Muscle Milk, MuscleTech, and Transparent Labs.
  6. One public high-intent cluster carried qualified data in October 2026: the Brand Recommendation cluster. The Pricing and Value and Multi-Brand Comparison clusters carried no qualified observations in the public series.
  7. Stage 0 extraction retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources for each observation.
  8. A mention is defined as any instance where BSN is named anywhere in an AI answer. A valid recommendation is defined as an instance where BSN appears in a genuine recommendation shortlist, excluding simple mentions.
  9. Ranking interpretation follows the benchmark's placement rules: top-three rate measures appearances in positions one through three, and rank-one rate measures appearances as the single first recommendation.
  10. Average recommended rank covers rank-eligible recommendations only. BSN's average recommended rank of 3.58 reflects its position when it receives valid rank credit.
  11. The qualified observation count of 692 is the public denominator for all brand-level metrics, not the raw collection of 800 prompts. Unique question count for October 2026 was 591.
  12. Limitations: the benchmark tracks only 10 brands, which limits what can be concluded about the wider category. Small absolute counts for brands such as BSN mean percentage movements can appear larger than their commercial weight. Source presence is not automatically treated as proof of causation.

See How AI Is Recommending Your Brand

The public benchmark shows where BSN is winning and losing in AI-generated recommendations. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and sources shaping those answers into a prioritized strategy, so brand teams can see the prompt-level evidence behind their recommendation coverage and act on it.

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

/ Learn More

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.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT