CiteWorks Studio

Rogaine AI Market Strategy Report - Hair Loss Treatments

Mark HuntleyBy Mark HuntleyFounder and CEO
4 minutes read

On this report

Key Takeaways

  • Rogaine posts the category’s strongest rank-one recommendation rate at 14.2% and the best average recommended rank at 1.58.
  • The brand appears in 31.9% of observations and earns valid recommendations in 20.2% of cases, but Nutrafol leads overall recommendation coverage.
  • Rogaine performs best in evaluation queries and on ChatGPT, where it shows especially strong first-position recommendation rates.
  • Its main weakness is pricing-related queries, where lower coverage and weaker Google AI Mode performance limit reach in high-intent buying moments.

Answer Capsule

Rogaine holds the strongest rank-one recommendation position in the hair loss treatment category, with a 14.2% rank-one rate and an average recommended rank of 1.58, the best in the category. The brand appears in 31.9% of all AI observations and receives valid recommendations in 20.2% of cases, making it the most frequently recommended first-choice option across AI platforms. Its clearest weakness is being outperformed by Nutrafol in total recommendation coverage and by Keeps in visibility assist value. The clearest opportunity is converting its rank-one dominance into broader recommendation coverage across all high-intent clusters, particularly in the pricing decision cluster where Nutrafol leads.

Who This Report Is For

This report is for marketing, brand, and growth leaders at Rogaine who need to understand how AI platforms are recommending the brand compared to competitors in the hair loss treatment category.

Report Card

  • Report type: AI Company Market Strategy Report
  • Target company: Rogaine
  • Category / market studied: Hair Loss Treatments
  • Reporting month: June 2026
  • AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity
  • Public high-intent clusters: 3
  • AI observations analyzed: 1,102
  • Competitors tracked: Nutrafol, Keeps, Hims, Happy Head, Bosley, HairClub, Ro (Roman), Folexin, Propecia (Merck)

Executive Summary

Rogaine holds the second position in the hair loss treatment category with a monthly AI Authority Value of $2.5M and a captured share of 4.7% of the total $53.2M monthly AI opportunity. The brand appears in 352 of 1,102 observations, giving it a raw mention presence rate of 31.9%, the second-highest in the category behind Nutrafol.

The defining strength is rank-one recommendation dominance. Rogaine achieves a rank-one rate of 14.2%, far ahead of any competitor, and an average recommended rank of 1.58, the best in the category. When Rogaine is recommended, it is almost always the first or second choice. On ChatGPT, Rogaine captures 19.8% of the platform opportunity with a rank-one rate of 25.1%. On Perplexity, it achieves a 30.9% top-three rate.

Rogaine receives 245 positive mentions, 104 neutral mentions, and 3 negative mentions across all platforms. The net sentiment score of 0.69 indicates strongly positive AI framing. The brand has 223 valid recommendations, representing a valid recommendation coverage of 20.2%.

The strongest cluster for Rogaine is the evaluation cluster, Telehealth Platform Comparisons, where it achieves a 24.8% top-ten rate and a 24.5% top-three rate, the strongest recommendation performance in any cluster for any brand in the category. The weakest cluster is the pricing cluster, Telehealth and Online Prescription Pricing, where Rogaine achieves a 13.3% top-ten rate, significantly behind Nutrafol's 26.9%.

The strongest platform signal is on ChatGPT, where Rogaine achieves a 25.7% recommendation coverage rate and a 25.1% rank-one rate. The clearest platform gap is on Google AI Mode, where Rogaine's recommendation coverage drops to 17.4% and its average recommended rank falls to 2.86.

What Rogaine Is Winning

Rank-one recommendation dominance. Rogaine's 14.2% rank-one rate is the highest in the category by a wide margin. The next closest competitor, Nutrafol, achieves 8.7%. When AI systems recommend a single brand first, they choose Rogaine more than any other option.

Evaluation cluster leadership. In the Telehealth Platform Comparisons cluster, Rogaine dominates with a 24.8% top-ten rate and a 24.5% top-three rate. This is the strongest recommendation performance in any cluster for any brand in the category. This cluster represents consumers actively comparing platforms, where recommendation rank directly influences choice.

ChatGPT and Perplexity strength. On ChatGPT, Rogaine achieves a 25.1% rank-one rate and a 25.7% recommendation coverage rate, capturing 19.8% of the platform opportunity. On Perplexity, Rogaine achieves a 30.9% top-three rate and a 35.8% recommendation coverage rate, the highest on that platform.

Strong positive framing. Rogaine's net sentiment score of 0.69 indicates that AI systems frame the brand positively when they mention it. Only 3 of 352 mentions are negative, and the positive-to-neutral ratio is strong.

Where Rogaine Has the Clearest AI Visibility Gaps

Pricing cluster underperformance. In the Telehealth and Online Prescription Pricing cluster, Rogaine achieves a 13.3% top-ten rate compared to Nutrafol's 26.9%. This is the highest-intent cluster, where consumers are ready to purchase. Rogaine's average recommended rank in this cluster drops to 2.36, significantly worse than its category-leading 1.58 average.

Google AI Mode weakness. On Google AI Mode, Rogaine's recommendation coverage drops to 17.4%, and its average recommended rank falls to 2.86. This is the weakest platform performance for Rogaine. Nutrafol achieves 30.4% recommendation coverage on the same platform.

Visibility assist dependency. Rogaine's monthly AI visibility assist value of $466.6K represents 18.7% of its total AI Authority Value. While this is lower than Keeps (28.8%) and Nutrafol (32.8%), it still indicates that a meaningful portion of Rogaine's AI presence comes from being mentioned rather than being recommended.

Competitor displacement by Nutrafol. Nutrafol outperforms Rogaine in total recommendation coverage (24.9% vs. 20.2%), top-ten rate (22.7% vs. 18.3%), and total AI Authority Value ($3.9M vs. $2.5M). In the pricing cluster, Nutrafol's lead is particularly pronounced.

Biggest Opportunity

Convert rank-one dominance into broader recommendation coverage in the pricing decision cluster. Rogaine is the most trusted first-choice brand when AI systems recommend, but it is not being recommended as frequently in the highest-intent buying moments. The pricing cluster carries a $17.0M modeled opportunity, and Nutrafol captures $1.6M of that value compared to Rogaine's $685.3K. Strengthening the citation architecture around pricing-related content, cost comparisons, and value propositions could close this gap.

Prompt Evidence

ChatGPT / Evaluation Prompt: "Compare telehealth platforms for hair loss treatment" Result: Rogaine appeared as the first recommendation in 25.1% of observations, the strongest rank-one performance on any platform.

Perplexity / Consideration Prompt: "What is the best hair loss treatment?" Result: Rogaine achieved a 30.9% top-three rate and a 35.8% recommendation coverage rate, the highest on this platform.

Google AI Mode / Pricing Prompt: "How much does hair loss treatment cost?" Result: Rogaine appeared in 17.4% of observations but with an average recommended rank of 2.86, significantly weaker than its category average.

Gemini / Evaluation Prompt: "Which hair loss treatment is most effective?" Result: Rogaine achieved a 14.5% top-ten rate with an average recommended rank of 1.28, showing strong rank performance but lower overall coverage.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Rogaine's current recommendation coverage, rank performance, and framing across all six platforms and three high-intent clusters, with particular focus on the pricing cluster gap.

Phase 2: Recommendation Readiness Plan Identify the specific prompts and clusters where Rogaine is mentioned but not recommended, and build the content and citation strategy to convert those mentions into recommendations.

Phase 3: Owned Answer Layer Buildout Develop pricing comparison content, cost-benefit analyses, and value proposition pages that AI systems can retrieve and cite when answering pricing-related queries.

Phase 4: Citation / Authority Layer Development Strengthen the clinical study references, dermatologist review content, and comparison articles that support Rogaine's recommendation eligibility, particularly on Google AI Mode.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor Rogaine's recommendation coverage, rank-one rate, and cluster-level performance monthly to measure progress against Nutrafol and identify emerging gaps.

Why This Matters

AI platforms are compressing the buyer shortlist in the hair loss treatment category. Rogaine has the strongest rank-one recommendation position, which means when AI systems choose a single brand, they choose Rogaine. But rank-one dominance without broad recommendation coverage in the highest-intent buying moments leaves commercial value on the table.

The difference between being the most trusted first-choice brand and being the most recommended brand across all buying moments is the difference between Rogaine's current position and category leadership. The pricing cluster is where purchase decisions are made, and that is where Rogaine needs to close the gap.

Core Metrics

  • Mentions: 352
  • Valid recommendations: 223
  • Top 3 recommendation count: 183
  • Rank 1 recommendation count: 156
  • Average recommended rank: 1.58
  • Positive mentions: 245
  • Neutral mentions: 104
  • Negative mentions: 3
  • Raw mention presence rate: 31.9%
  • Valid recommendation coverage: 20.2%
  • Top 3 recommendation rate: 16.6%
  • Rank 1 recommendation rate: 14.2%
  • Strongest cluster by recommendation behavior: Telehealth Platform Comparisons (evaluation)
  • Strongest platform by recommendation behavior: ChatGPT

Sentiment Score

Sentiment Score = (245 positive x 1 + 104 neutral x 0 + 3 negative x -1) / 352 total mentions = 242 / 352 = 0.69

This score means Rogaine's AI framing is strongly positive. The vast majority of mentions are positive, and negative mentions are nearly absent. This matters because unclassified mention counts are misleading. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

66

52

14

0

0.79

Strongest public recommendation signal

Copilot

65

49

13

3

0.71

Strong positive framing

Gemini

50

41

9

0

0.82

Highest sentiment score

Google AI Mode

72

37

35

0

0.51

Present, but not recommendation-led

Google AI Overviews

59

36

23

0

0.61

Moderate positive framing

Perplexity

40

30

10

0

0.75

Strong recommendation signal

Methodology

  1. This report is a benchmark-based analysis of Rogaine's AI recommendation visibility in the Hair Loss Treatments category, powered by the LLM Authority Index.
  2. The reporting month is June 2026.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
  4. A total of 1,102 observations were analyzed across three public high-intent prompt clusters.
  5. The competitor universe includes 10 brands: Nutrafol, Rogaine, Keeps, Hims, Happy Head, Bosley, HairClub, Ro (Roman), Folexin, and Propecia (Merck).
  6. Three public high-intent clusters were used: Best Telehealth and Online Prescription Services (consideration), Telehealth Platform Comparisons (evaluation), and Telehealth and Online Prescription Pricing (decision).
  7. Stage 0 refers to the raw observation collection stage, where AI responses are captured and cataloged before metric calculation.
  8. A mention means the company appeared in an AI-generated response, regardless of sentiment, rank, or recommendation status.
  9. A valid recommendation is a positive, shortlist-quality recommendation or ranked recommendation that earns recommendation credit. Visibility is not the same as recommendation credit.
  10. Modeled values referenced in this report are benchmark estimates. They are not revenue figures, pipeline projections, or guaranteed commercial outcomes.
  11. This report is a point-in-time benchmark for June 2026. AI outputs can change as models update and source material shifts.
  12. The public version of this benchmark covers 3 of 10 tracked clusters. The full report includes 10 clusters with additional prompt-level detail.

See How AI Is Recommending Your Brand

The public benchmark shows the market shape. A company-specific analysis would show which prompts Rogaine 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. Contact CiteWorks Studio for an AI Visibility Audit that maps your brand's recommendation-stage visibility and identifies the specific gaps competitors are exploiting.

/ 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.

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