Keeps AI Visibility Market Strategy Report - Hair Loss Treatments

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Keeps is visible in AI answers, but its 21.6% mention rate converts to only 14.2% valid recommendation coverage.
  • The brand’s strongest platform is Google AI Overviews, while Perplexity shows no valid recommendations in this benchmark.
  • Keeps has zero negative mentions, so the issue is recommendation conversion rather than reputation.
  • Rogaine, Hims, and Nutrafol lead the category on top-three and rank-one placement, leaving Keeps in the middle of the pack.

Answer Capsule

Keeps holds 14.2% valid recommendation coverage in the October 2026 Hair Loss Treatments benchmark, placing it seventh of ten tracked brands. The brand appears in 21.6% of qualified AI answers but converts only a fraction of that presence into recommendation credit, and its rank-one rate sits at 1.1%. Keeps is visible in AI-generated hair loss recommendations but is not being shortlisted at the decision moment. The clearest opportunity is closing the gap between raw mention presence and valid recommendation coverage in the core brand recommendation cluster.

Who This Report Is For

This report is for Keeps marketing, growth, and brand strategy leaders who need to understand where the brand stands in AI-generated hair loss treatment recommendations and what is driving the gap between visibility and recommendation conversion.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Keeps

Category / market studied

Hair Loss Treatments

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

528

Competitors tracked

9

Executive Summary

Keeps holds 14.2% valid recommendation coverage in the October 2026 Hair Loss Treatments benchmark, ranking seventh among ten tracked brands. The brand recorded 75 valid recommendations from 528 qualified observations, with a raw mention presence rate of 21.6%. That means Keeps appears in roughly one in five qualified AI answers but is only recommended in about one in seven.

The gap between presence and recommendation is the defining pattern for Keeps in this benchmark. The brand is mentioned in 114 qualified observations but receives valid recommendation credit in only 75 of them. The remaining 39 mentions are neutral references, contextual listings, or comparison anchors that do not convert into shortlist placement.

Keeps recorded zero negative mentions in October 2026, which means the brand is not being framed unfavorably. The issue is not reputation. The issue is recommendation conversion. AI systems are willing to mention Keeps but are not consistently choosing it as a recommended option.

The strongest platform signal for Keeps is Google AI Overviews, where the brand holds 18.2% valid recommendation coverage and 30 valid recommendations. The weakest platform signal is Perplexity, where Keeps recorded zero valid recommendations and only one neutral mention across 43 observations.

The strongest cluster is the core brand recommendation cluster, which covers discovery and consideration prompts such as best hair loss treatments and top solutions. All 528 qualified observations in October 2026 fell into this single cluster. Pricing and multi-brand comparison clusters returned no qualified data in the current benchmark.

The clearest competitive gap is against Rogaine, which holds 59.3% valid recommendation coverage and a 41.1% rank-one rate. Keeps holds 14.2% coverage and a 1.1% rank-one rate. Rogaine is recommended first in roughly four of every ten qualified answers. Keeps is recommended first in roughly one of every hundred.

Keeps also trails Hims (53.4% coverage), Nutrafol (55.1% coverage), Happy Head (29.0% coverage), and Propecia (Merck) (22.4% coverage). The brand is ahead of Ro (18.2%), Bosley (2.6%), HairClub (0.2%), and Folexin (0.0%).

What Keeps Is Winning

Questions This Section Answers

  • Which platforms does Keeps hold its strongest recommendation positions on?
  • What does Keeps' sentiment profile reveal about its AI visibility?

Keeps holds a measurable recommendation position in the Hair Loss Treatments category. The brand is not absent from AI-generated recommendations. It appears in 114 qualified observations and receives valid recommendation credit in 75 of them.

The brand recorded zero negative mentions across all 528 qualified observations in October 2026. This is a meaningful signal. AI systems are not framing Keeps unfavorably. The brand is not being described as ineffective, unsafe, or inferior. The absence of negative framing means the recommendation gap is not a reputation problem.

Keeps holds its strongest platform position on Google AI Overviews, where it recorded 30 valid recommendations and 18.2% valid recommendation coverage. The brand also holds 14 valid recommendations on Copilot and 14 on Gemini. These are narrow but real recommendation pockets.

The brand's net sentiment score of 0.6754 is positive. Among the 114 mentions Keeps received, 77 were classified as positive and 37 as neutral. No mentions were classified as negative. The sentiment profile is healthy even though recommendation conversion is weak.

Keeps is not winning the category. It is holding a visible but under-recommended position. The wins are real but narrow.

Where Keeps Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • What is the conversion gap between Keeps' AI presence and valid recommendation rate?
  • On which platforms does Keeps have the largest recommendation gaps?

Keeps is present in AI-generated hair loss recommendations but is not being chosen at the rate its visibility would suggest. The brand appears in 21.6% of qualified observations but receives valid recommendation credit in only 14.2%. That is a conversion gap of 7.4 percentage points between presence and recommendation.

The gap widens further when top-three and rank-one placement are examined. Keeps holds a top-three rate of 11.7% and a rank-one rate of 1.1%. The brand is recommended among the top three options in roughly one of every nine qualified answers. It is recommended first in roughly one of every hundred.

Rogaine holds a top-three rate of 51.1% and a rank-one rate of 41.1%. Hims holds a top-three rate of 51.3% and a rank-one rate of 20.6%. Nutrafol holds a top-three rate of 36.7% and a rank-one rate of 4.9%. Keeps trails all three on both measures.

The platform-level gaps are uneven. Keeps holds 18.2% valid recommendation coverage on Google AI Overviews and 18.7% on Copilot. On Perplexity, the brand recorded zero valid recommendations and only one neutral mention across 43 observations. On Google AI Mode, Keeps holds 8.9% valid recommendation coverage, well below its overall average.

The brand is also absent from the top cited domains in the benchmark. Hims holds the only tracked brand domain in the top 10 cited domains, appearing at rank 3 with 283 citations across all six platforms. Keeps does not appear in the top 10. The citation layer for Keeps is not yet strong enough to compete with the brand domains and health reference sources that AI systems are retrieving.

The competitive displacement pattern is clear. When AI systems recommend hair loss treatments, Rogaine, Hims, and Nutrafol are the primary beneficiaries. Keeps is mentioned as a secondary option or contextual reference but is not consistently shortlisted.

Biggest Opportunity

Questions This Section Answers

  • What is the clearest opportunity for Keeps in the core brand recommendation cluster?
  • How can Keeps convert existing AI mentions into valid recommendation credit?

The clearest opportunity for Keeps is closing the recommendation conversion gap in the core brand recommendation cluster. The brand already appears in 21.6% of qualified AI answers. The task is not to increase visibility from zero. The task is to convert existing mentions into valid recommendation credit.

This means improving how AI systems frame Keeps when the brand is mentioned. The brand needs to move from contextual reference to recommended option. That requires strengthening the public evidence layer that AI systems retrieve when forming recommendations.

The specific opportunity is to build citation-supported evidence that positions Keeps as a recommended hair loss treatment option, not just a mentioned brand. This includes owned content that directly addresses high-intent prompts such as best hair loss treatment and top hair growth products, third-party sources that reinforce Keeps as a recommended option, and structured content that AI systems can easily retrieve and synthesize.

The brand's strongest platform is Google AI Overviews, where it already holds 18.2% valid recommendation coverage. Building on that platform position while addressing the Perplexity gap and the Google AI Mode gap would give Keeps a more balanced recommendation footprint across the six tracked platforms.

Competitive Landscape

Questions This Section Answers

  • Where does Keeps rank against competitors on top-three and rank-one placement?
  • How does Keeps' average recommended rank compare to the category leaders?

Rogaine, Hims, and Nutrafol hold recommendation-stage strength in the Hair Loss Treatments category, with Rogaine leading on rank-one placement and Hims leading on top-three rate. Keeps sits in the middle of the tracked set, visible but under-recommended relative to the category leaders.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Hims

51.33%

20.64%

1.71

0.7520

Rogaine

51.14%

41.10%

1.58

0.7733

Nutrafol

36.74%

4.92%

2.92

0.8479

Happy Head

22.73%

0.95%

2.91

0.8315

Propecia (Merck)

17.61%

7.01%

2.22

0.6266

Ro

13.45%

1.14%

2.89

0.7619

Keeps

11.74%

1.14%

2.47

0.6754

Bosley

1.70%

0.76%

2.27

0.2979

HairClub

0.00%

0.00%

6.00

0.0370

Folexin

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

Keeps holds a top-three rate of 11.74% and a rank-one rate of 1.14%, placing it seventh of ten tracked brands on both measures. The brand's average recommended rank of 2.47 is mid-tier, ahead of Nutrafol and Happy Head but behind Rogaine and Hims. Keeps trails the category leaders by a wide margin on top-three placement and rank-one placement.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "What is the best hair serum for hair growth?" Result: Keeps appeared in the answer with a valid recommendation, contributing to its strongest platform position at 18.2% coverage.

Perplexity / Brand Recommendation Prompt: "What are the top 3 hair growth products?" Result: Keeps received only a neutral mention with no valid recommendation credit, reflecting the brand's zero recommendation coverage on Perplexity.

Copilot / Brand Recommendation Prompt: "Which tablet is good for hair fall?" Result: Keeps appeared as a recommended option, contributing to its 18.7% valid recommendation coverage on Copilot.

Google AI Mode / Brand Recommendation Prompt: "What is the most effective hair growth serum?" Result: Keeps received limited recommendation credit, with the brand holding only 8.9% valid recommendation coverage on Google AI Mode.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts where Keeps is mentioned but not recommended, and identify which competitors are absorbing the recommendation credit in those answers.

Phase 2: Recommendation Readiness Plan Prioritize the platform and prompt combinations where Keeps has the clearest path from mention to recommendation, starting with Google AI Overviews and Copilot.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly addresses high-intent hair loss treatment prompts and positions Keeps as a recommended option, not just a mentioned brand.

Phase 4: Citation / Authority Layer Development Strengthen the third-party source footprint that AI systems retrieve when forming hair loss treatment recommendations, with a focus on health reference sources and comparison pages.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Keeps recommendation coverage, top-three rate, and rank-one rate month over month to measure whether the conversion gap is closing.

Why This Matters

AI presence alone is not enough. Keeps appears in 21.6% of qualified AI answers but receives valid recommendation credit in only 14.2%. The brand is visible but not consistently chosen. In a category where Rogaine is recommended first in 41.1% of qualified answers and Hims holds a 51.3% top-three rate, being mentioned is not the same as being shortlisted.

The next move for Keeps is targeted correction of the prompt, page, and citation layers that shape AI-generated recommendations. The brand needs to move from contextual reference to recommended option. That requires strengthening the public evidence layer that AI systems retrieve when forming recommendations, and building owned content that directly addresses the high-intent prompts where Keeps is currently mentioned but not recommended.

Core Metrics

Metric

Value

Mentions

114

Valid recommendations

75

Top 3 recommendation count

62

Rank #1 recommendation count

6

Average recommended rank

2.47

Positive mentions

77

Neutral mentions

37

Negative mentions

0

Raw mention presence rate

21.59%

Valid recommendation coverage

14.20%

Top 3 recommendation rate

11.74%

Rank #1 recommendation rate

1.14%

Net sentiment score

0.6754

Strongest cluster by recommendation behavior

Best Hair Loss Treatments & Top Solutions

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

Questions This Section Answers

  • How is Keeps' sentiment score calculated and what does it indicate?
  • Why do mention counts alone misrepresent Keeps' AI recommendation performance?

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

Keeps recorded 77 positive mentions, 37 neutral mentions, and 0 negative mentions across 114 total mentions. The sentiment score is 0.6754.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers without being recommended. Keeps is mentioned in 114 qualified observations but receives valid recommendation credit in only 75. The remaining 39 mentions are neutral references or contextual listings that do not convert into shortlist placement.

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. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility.

Keeps holds a positive sentiment score with zero negative mentions. The brand is not being framed unfavorably. The recommendation gap is not a reputation problem. It is a conversion problem.

Sentiment by Platform

Questions This Section Answers

  • Which platform shows the strongest positive recommendation signal for Keeps?
  • Where does Keeps have the weakest public presence in AI answers?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Overviews

37

30

7

0

0.8108

Strongest public recommendation signal

Copilot

21

14

7

0

0.6667

Present, but not recommendation-led

Gemini

24

14

10

0

0.5833

Present as context, not recommendation

Google AI Mode

26

16

10

0

0.6154

Present, but under-recommended

ChatGPT

5

3

2

0

0.6000

Positive, but sample too small

Perplexity

1

0

1

0

0.0000

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of Keeps visibility and recommendation performance in the Hair Loss Treatments category. It is not a client implementation case study.
  2. The reporting month is October 2026. The benchmark baseline is July 2026.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The October 2026 benchmark produced 528 qualified observations from 800 source prompt-surface observations. The July 2026 baseline produced 571 qualified observations.
  5. The competitor universe includes ten tracked brands: Bosley, Folexin, HairClub, Happy Head, Hims, Keeps, Nutrafol, Propecia (Merck), Ro, and Rogaine.
  6. One public high-intent cluster was included in the October 2026 benchmark: Best Hair Loss Treatments & Top Solutions, covering discovery and consideration intent. Pricing and multi-brand comparison clusters returned no qualified data.
  7. Stage 0 extraction retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is counted when a brand appears in a qualified AI answer. A valid recommendation is counted when the brand appears in a recommendation that meets benchmark criteria. Mentions and recommendations are not the same measure.
  9. Top-three rate is the share of qualified observations where the brand appears among the top three recommended options. Rank-one rate is the share of qualified observations where the brand is the single top recommendation.
  10. Average recommended rank covers rank-eligible recommendations only. A brand with no rank-eligible recommendations receives no average rank.
  11. The Ro and Ro (Roman) entries are tracked as separate labels across the series. The Ro label carries the position from September 2026 onward while the prior alias shows zero.
  12. Month-over-month movement identifies changes worth investigating. It does not by itself establish what caused those changes.

See How AI Is Recommending Your Brand

The public benchmark shows where Keeps stands in AI-generated hair loss treatment recommendations. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and citation sources that shape those recommendations into a prioritized strategy. The audit shows which prompts Keeps wins, which competitors take the recommendation when Keeps loses, and which external sources AI systems are retrieving when forming answers.

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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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