CiteWorks Studio

Ro AI Market Strategy Report - Hair Loss Treatments

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Ro reached 15.25% valid recommendation coverage in September 2026 after a 0.0% baseline in July, indicating a measurable reset under its current brand name.
  • The brand was mentioned in 27.04% of qualified observations, but only 84 of 149 mentions became valid recommendations, showing a clear presence-to-shortlist gap.
  • Ro's sentiment profile was a strength, with 122 positive mentions, 27 neutral mentions, and no negative mentions across 551 qualified observations.
  • Google AI Overviews was Ro's strongest platform for recommendation visibility, while Perplexity and ChatGPT showed limited placement and no meaningful top-ranking performance.

Answer Capsule

Ro entered the September 2026 Hair Loss Treatments benchmark under its current brand name with 15.2% valid recommendation coverage, a significant rise from the 0.0% baseline recorded in July 2026. The brand shows meaningful presence at 27.0% raw mention rate but converts only a fraction of that visibility into top-tier recommendations, with a 5.63% top-three rate and a 0.54% rank-one rate. Ro's clearest strength is its positive framing profile, with 122 positive mentions and zero negative mentions across 551 qualified observations. The clearest opportunity lies in converting its existing reference-level visibility into recommendation-stage placement, particularly on Google AI Overviews where it already holds strong presence but is not being consistently shortlisted.

Who This Report Is For

This report is for brand, marketing, and growth leaders at Ro responsible for understanding how AI systems recommend hair loss treatment brands during buyer discovery and consideration.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Ro

Category / market studied

Hair Loss Treatments

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1 active of 3 tracked

AI observations analyzed

551

Competitors tracked

10

Executive Summary

Ro entered the September 2026 Hair Loss Treatments benchmark under its current brand identity with 15.2% valid recommendation coverage, up from a 0.0% baseline in July 2026. This entry coincides with the exit of Ro (Roman) from the tracked set, which had held 19.8% coverage in July 2026 and 17.5% in August 2026. Read as a single commercial entity across the naming change, the brand's position in AI-generated recommendations is best understood as a reset rather than a disappearance.

Ro recorded 149 mentions across 551 qualified observations, with 122 positive mentions, 27 neutral mentions, and zero negative mentions. The brand's net sentiment score of 0.8188 reflects a strongly positive framing profile with no cautionary or negative references detected in the public benchmark. However, Ro converted only 84 of those 149 mentions into valid recommendations, a conversion gap that points to presence without consistent shortlist inclusion.

The strongest cluster for Ro is the Best Hair Loss Treatments & Top Solutions consideration cluster, which accounts for all 551 qualified observations in the September 2026 benchmark. Within this cluster, Ro's average recommended rank sits at 3.67 when it does receive rank-eligible placement, placing it behind the category's leading brands in recommendation prominence.

The strongest platform signal for Ro comes from Google AI Overviews, where the brand reached 42.47% raw mention presence and 20.43% valid recommendation coverage, its highest coverage rate across all six tracked surfaces. The clearest platform gap is Perplexity, where Ro appeared in only 5.0% of observations with zero valid recommendations.

Ro's position in the September 2026 benchmark reflects a brand identity transition period. The underlying commercial entity previously tracked as Ro (Roman) held stronger recommendation metrics under its former label, and the current data does not yet show whether Ro will recover that ground under its new canonical name.

What Ro Is Winning

Questions This Section Answers

  • Where does Ro show its strongest evidence-backed performance in this benchmark?
  • What does Ro's sentiment profile indicate about how AI systems frame the brand?
  • On which platform does Ro achieve its highest valid recommendation coverage?

Ro's strongest evidence-backed win in the September 2026 benchmark is its sentiment profile. With 122 positive mentions, 27 neutral mentions, and zero negative mentions, Ro achieved a net sentiment score of 0.8188. No tracked brand in the category recorded negative framing toward Ro, which suggests the public evidence layer does not currently contain cautionary or critical narratives that AI systems are surfacing.

Ro also shows a meaningful presence foundation. The brand appeared in 27.04% of qualified observations, placing it ahead of Keeps (21.6%), Bosley (7.08%), and HairClub (3.45%) on raw mention presence. This indicates that AI systems are retrieving Ro as a relevant entity in hair loss treatment conversations, even when the brand is not the final recommendation.

On Google AI Overviews specifically, Ro achieved 20.43% valid recommendation coverage, its strongest platform-level performance. The brand also recorded its highest positive visibility rate on this surface at 39.78%, suggesting that AI Overviews responses frame Ro favorably when the brand appears.

Where Ro Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How large is the gap between Ro's mentions and its valid recommendations?
  • How does Ro's top-three and rank-one placement compare with category leaders like Rogaine and Keeps?
  • Which platforms show the weakest recommendation signals for Ro?

Ro's most significant gap is the conversion of presence into recommendation. The brand appeared in 149 mentions but received only 84 valid recommendations, meaning roughly 44% of its mentions did not result in a recommendation. This pattern indicates that AI systems frequently reference Ro as context or comparison material without placing the brand on the buyer shortlist.

The top-three gap is more pronounced. Ro received only 31 top-three placements (5.63%) and 3 rank-one placements (0.54%) across 551 qualified observations. By comparison, category leader Rogaine achieved 225 top-three placements (40.83%) and 185 rank-one placements (33.58%). Even Keeps, which trails Ro on valid recommendation coverage at 12.34%, recorded a higher top-three rate at 7.80%.

Perplexity represents Ro's clearest platform-level gap. The brand appeared in only 2 of 40 observations on this surface, with zero valid recommendations and zero positive mentions. ChatGPT shows a similar pattern at smaller scale, with Ro appearing in 4 of 17 observations but receiving no top-three or rank-one placements.

Ro's average recommended rank of 3.67 when it does receive rank-eligible placement places it behind Rogaine (1.51), Hims (1.78), and Keeps (2.64). This suggests that even when Ro is recommended, it tends to appear lower in the answer structure where buyer attention is weaker.

Biggest Opportunity

Questions This Section Answers

  • Where is Ro's presence-to-recommendation gap widest?
  • What would closing this gap require in terms of Ro's evidence layer?

Ro's clearest opportunity is converting its existing reference-level visibility into recommendation-stage placement on Google AI Overviews. The brand already achieves 42.47% raw mention presence on this surface, the highest of any tracked platform, and its 20.43% valid recommendation coverage there is more than double its category-wide rate. The gap between presence and recommendation on AI Overviews suggests that Ro is being retrieved and discussed but is not consistently positioned as a shortlist candidate.

Closing this gap would require strengthening the evidence layer that supports recommendation decisions, particularly around the attributes that AI systems use to distinguish top recommendations from contextual references. Ro's zero negative mentions across all platforms indicate there is no reputational drag to overcome; the challenge is purely one of recommendation conversion.

Competitive Landscape

Questions This Section Answers

  • Which brands hold the strongest recommendation-stage positions in this benchmark?
  • Where does Ro rank on top-three and rank-one rates relative to the tracked set?

Rogaine, Nutrafol, and Hims hold the strongest recommendation-stage positions in the September 2026 Hair Loss Treatments benchmark, with Rogaine leading on both coverage and top placement. Ro sits in the mid-tier of the tracked set, ahead of Keeps and Bosley on valid recommendation coverage but well behind the category's top three brands.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Rogaine

40.83%

33.58%

1.51

0.8905

Hims

32.85%

14.34%

1.78

0.7995

Nutrafol

27.22%

3.81%

2.98

0.8894

Happy Head

13.25%

1.27%

3.19

0.8879

Propecia (Merck)

11.80%

3.63%

2.57

0.8305

Keeps

7.80%

0.91%

2.64

0.7647

Ro

5.63%

0.54%

3.67

0.8188

Bosley

0.73%

0.18%

3.38

0.3590

HairClub

0.00%

0.00%

0.0000

Folexin

0.00%

0.00%

0.0000

Average recommended rank covers rank-eligible recommendations only.

Ro's 5.63% top-three rate places it seventh in the tracked set, and its 0.54% rank-one rate is among the lowest of any brand receiving valid recommendations. The brand's sentiment score of 0.8188 is competitive with the category leaders, indicating that framing quality is not the constraint on Ro's recommendation performance.

Prompt Evidence

Google AI Overviews / Best Hair Loss Treatments & Top Solutions Prompt: "What is the best company for hair?" Result: Ro appeared in the response but was not positioned as a top-three recommendation, reflecting the brand's presence-without-conversion pattern on this surface.

Gemini / Best Hair Loss Treatments & Top Solutions Prompt: "Which product is the best for hair growth?" Result: Ro received a rank-eligible recommendation in 5 of 86 observations, with an average recommended rank of 2.4 when placed, its strongest placement performance on any platform.

Perplexity / Best Hair Loss Treatments & Top Solutions Prompt: "What is the most successful hair growth product?" Result: Ro appeared in only 2 of 40 observations with zero valid recommendations, showing minimal visibility on this surface.

What CiteWorks Studio Would Do Next

Questions This Section Answers

  • What is the first phase recommended for mapping where Ro appears without being recommended?
  • Which phases focus on strengthening the evidence and authority layer that supports recommendations?

Phase 1: AI Market Discovery Audit Map the specific prompts and query formulations where Ro appears but is not recommended, with particular focus on Google AI Overviews where the presence-to-recommendation gap is widest.

Phase 2: Recommendation Readiness Plan Identify the attributes and evidence signals that AI systems associate with top-three recommendations in the hair loss category and compare them against Ro's current public evidence profile.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers high-intent hair loss treatment questions with clear, recommendation-ready positioning for Ro's product offerings.

Phase 4: Citation / Authority Layer Development Strengthen the third-party source footprint that AI systems can retrieve when forming hair loss treatment recommendations, prioritizing sources that currently support Rogaine, Nutrafol, and Hims placements.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Ro's presence, valid recommendation coverage, top-three rate, and rank-one rate monthly to measure whether the brand recovers the position previously held under the Ro (Roman) label.

Why This Matters

AI-generated recommendations are increasingly shaping how buyers choose hair loss treatments. Ro's September 2026 benchmark position shows that being present in AI answers is not the same as being recommended. The brand is referenced frequently and framed positively, but it is not consistently placed on the shortlists that influence buyer decisions.

The naming transition from Ro (Roman) to Ro creates both a measurement challenge and a strategic opportunity. As the series stabilizes under the current label, Ro has a chance to rebuild its recommendation footprint with a clearer understanding of which prompts, platforms, and evidence sources drive shortlist inclusion in the hair loss treatment category.

Core Metrics

Metric

Value

Mentions

149

Valid recommendations

84

Top 3 recommendation count

31

Rank #1 recommendation count

3

Average recommended rank

3.67

Positive mentions

122

Neutral mentions

27

Negative mentions

0

Raw mention presence rate

27.04%

Valid recommendation coverage

15.25%

Top 3 recommendation rate

5.63%

Rank #1 recommendation rate

0.54%

Net sentiment score

0.8188

Strongest cluster by recommendation behavior

Best Hair Loss Treatments & Top Solutions

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

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

For Ro, this calculation is (122 × 1 + 27 × 0 + 0 × -1) / 149, producing a net sentiment score of 0.8188.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers while being framed negatively or as a cautionary example, and raw mention volume alone cannot distinguish between a positive recommendation, a neutral reference, or a competitor-displaced mention. 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 in commercial impact. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it reveals whether a brand's presence is helping or hurting its position in the buyer consideration set.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

4

2

2

0

0.50

Present, but not recommendation-led

Copilot

25

17

8

0

0.68

Present as context, not recommendation

Gemini

13

9

4

0

0.69

Positive, but sample too small

Google AI Mode

26

20

6

0

0.77

Present, but not recommendation-led

Google AI Overviews

79

74

5

0

0.94

Strongest public recommendation signal

Perplexity

2

0

2

0

0.00

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of Ro's AI recommendation visibility in the Hair Loss Treatments category, produced from the LLM Authority Index AI Market Discovery Index and CiteWorks Studio interpretation materials. It is not a client implementation case study.
  2. The reporting window is September 2026, with July 2026 and August 2026 referenced as baseline and intermediate comparison points where the public benchmark provides them.
  3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The benchmark began with 800 prompt-surface observations in September 2026, of which 722 were relevant to the vertical and 78 were irrelevant. After qualification, 551 observations formed the public denominator for all brand-level metrics.
  5. The competitor universe includes 10 tracked brands: Bosley, Folexin, HairClub, Happy Head, Hims, Keeps, Nutrafol, Propecia (Merck), Ro, and Rogaine.
  6. All qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class, covering discovery and consideration of hair loss treatments. No qualified observations landed in the Pricing & Value or Multi-Brand Comparison classes.
  7. Stage 0 extraction captured prompt-level observations retaining the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is defined as any qualified observation where the brand appears in the AI answer, regardless of whether it is recommended.
  9. A valid recommendation is defined as a qualified observation where the brand appears in a recommendation that meets benchmark criteria, which excludes neutral references, cautionary mentions, and comparison-anchor appearances.
  10. Ro (Roman) was tracked as a separate benchmark entry through August 2026. In September 2026, Ro entered as the canonical brand name, and Ro (Roman) recorded zero coverage. The two labels are best read as a single commercial entity across a naming transition.
  11. Small counts apply at the lower end of the category. Ro's platform-level metrics on ChatGPT and Perplexity rest on very few observations and should be interpreted with caution.
  12. Limitations: This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. Source presence is evidence about the information environment, not automatically proof that the source caused the recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where Ro stands in AI-generated recommendations for hair loss treatments, but it does not reveal which prompts, competitors, or sources are driving those outcomes. A company-level AI visibility audit maps those patterns into a prioritized strategy for converting presence into recommendation-stage placement.

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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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