CiteWorks Studio

Hims AI Market Strategy Report - ED Treatment Pills

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Hims remained the category leader in valid recommendation coverage at 46.6%, but its lead over Ro narrowed to 0.7 percentage points.
  • The main decline was rank-one placement, which dropped from 33.2% in July to 23.3% in September despite steady overall presence.
  • Google AI Mode and AI Overviews were Hims' strongest surfaces, while Perplexity and Gemini showed weaker recommendation conversion.
  • The clearest next step is prompt-level analysis to find where Hims slipped from first to second or third and which competitor took those top spots.

Answer Capsule

Hims remains the category leader in ED treatment pills AI recommendations, holding 46.6% valid recommendation coverage in September 2026, but the brand has declined 18.9 percentage points since July 2026. The clearest weakness is rank-one placement, which fell from 33.2% to 23.3% over the same period, indicating Hims is no longer the default first-choice answer AI systems lead with. The clearest win is sustained presence at 91.1%, with top-three placement holding near its starting level. The clearest opportunity is diagnosing which prompts shifted Hims from first-position to second or third-position recommendations, and which competitor is capturing those slots.

Who This Report Is For

This report is for brand, growth, and digital strategy leaders at Hims and other ED treatment providers tracking how AI-generated recommendations shape category discovery and buyer shortlists.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Hims

Category / market studied

ED Treatment Pills

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

305

Competitors tracked

9

Executive Summary

Hims enters October 2026 as the ED treatment pills category leader by valid recommendation coverage at 46.6%, but the margin over Ro has compressed to just 0.7 percentage points, down from a 3.0 point lead in July 2026. The brand is still mentioned in 91.1% of qualified observations, essentially flat since July, which means the erosion is not a visibility problem. It is a recommendation conversion problem.

The benchmark shows Hims recorded 194 positive mentions, 83 neutral mentions, and 1 negative mention across 305 qualified observations in September 2026. The strongest cluster is brand recommendation discovery, which accounts for all qualified observations in the current public series. The weakest area is rank-one placement, where Hims dropped from 33.2% in July 2026 to 23.3% in September 2026, a 9.9 point decline that the benchmark classifies as beyond normal variation.

The strongest platform signal for Hims is Google AI Mode, where the brand holds 55.6% valid recommendation coverage and a 25.6% rank-one rate. The clearest platform gap is Perplexity, where Hims holds only 33.3% valid recommendation coverage and recorded no rank-one recommendations in the September set.

The overall pattern is one of a leader that remains highly visible and frequently shortlisted, but is no longer the default single answer AI systems lead with. Hims went from being the clear first-choice response to being co-mentioned at the top of shortlists, and its rank-one count dropped from 108 in July to 71 in September.

What Hims Is Winning

Questions This Section Answers

  • Which recommendation metrics does Hims still lead in?
  • Where does Hims show the strongest platform performance?
  • How is sentiment framing affecting Hims' recommendation position?

Hims holds the category lead in valid recommendation coverage at 46.6%, ahead of Ro at 45.9%. The brand also leads on presence rate at 91.1%, top-three rate at 38.0%, and rank-one rate at 23.3%, the only tracked brand with a rank-one rate above 10%.

The brand's top-three placement has proven resilient. The top-three rate moved from 39.1% in July 2026 to 38.0% in September 2026, a decline of just 1.1 points, and the average recommended rank of 1.77 remains the strongest in the category. Hims is still being placed prominently within shortlists even as its first-position share erodes.

Google AI Mode is a clear pocket of strength. Hims holds 55.6% valid recommendation coverage on that surface, with a 25.6% rank-one rate and an average recommended rank of 1.74. Google AI Overviews also performs well, with 55.8% valid recommendation coverage and a 28.3% rank-one rate.

Sentiment framing is another strength. Hims holds a net sentiment score of 0.69, with only 1 negative mention across 305 observations, indicating that AI systems are not framing the brand negatively even as recommendation patterns shift.

Where Hims Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Which placement metric shows the most significant decline for Hims?
  • Where is Hims least effective at converting mentions into recommendations?
  • How do Hims' platform gaps compare with competitor performance?

The clearest gap is rank-one recommendation placement. Hims moved from 33.2% rank-one rate in July 2026 to 23.3% in September 2026, a 9.9 point drop that the benchmark classifies as significant. The brand is still visible and still highly ranked, but it is no longer the default first-choice answer AI systems lead with. The rank-one count fell from 108 to 71 over the same period.

Perplexity is the clearest platform gap. Hims holds only 33.3% valid recommendation coverage there, with a 5.6% top-three rate and no rank-one recommendations in the September set. Ro outperforms Hims on Perplexity with 44.4% valid recommendation coverage and a 5.6% rank-one rate. This is a surface where Hims is present but not converting presence into recommendation strength.

Gemini also shows a gap relative to other platforms. Hims holds 17.8% valid recommendation coverage on Gemini, well below its performance on Google AI Mode and Google AI Overviews, with an 8.9% rank-one rate. The brand is mentioned in 97.8% of Gemini observations but converted to a valid recommendation in only 17.8%, a wide presence-to-recommendation gap.

The broader category context matters here. Every tracked brand declined in valid recommendation coverage from July to September 2026, and no brand recorded a significant increase. Hims and Ro remain closely matched at the top, and GoodRx Care is improving placement and presence, closing the gap with the leaders.

Biggest Opportunity

Questions This Section Answers

  • What is the single clearest opportunity to improve Hims' recommendation share?
  • What should be diagnosed first when trying to recover rank-one placement?

The single clearest opportunity for Hims is recovering rank-one recommendation placement in the brand recommendation cluster. The benchmark shows Hims is still present in 91.1% of observations and still appears in the top three at a 38.0% rate, but the first-position rate has fallen 9.9 points since July 2026. The highest-priority diagnostic is identifying which prompts shifted Hims from rank one to rank two or rank three, and which competitor is now capturing those first-position recommendations. Recovering even a portion of that rank-one share would restore the default-answer position Hims held at the start of the series.

Competitive Landscape

Questions This Section Answers

  • How does Hims perform against Ro, GoodRx Care, and other competitors across placement metrics?
  • What metric is carrying Hims' lead over its closest rivals?

Hims holds the top position in the ED treatment pills category by valid recommendation coverage, but Ro is nearly tied at 45.9%, and GoodRx Care is improving placement and presence from the middle of the market. The following table shows how each tracked brand performed on recommendation placement in September 2026:

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Hims

38.03%

23.28%

1.77

0.69

Ro

32.46%

6.23%

2.37

0.71

GoodRx Care

25.57%

8.52%

2.68

0.71

PlushCare

10.16%

2.95%

3.11

0.79

Lemonaid Health

8.52%

1.64%

3.36

0.70

BlueChew

7.87%

0.00%

3.00

0.77

Rex MD

4.59%

0.98%

2.56

0.62

Optum

0.33%

0.00%

3.00

0.57

K Health

0.33%

0.00%

3.50

0.43

Blink Health

0.98%

0.00%

4.44

0.78

Average recommended rank covers rank-eligible recommendations only.

The table shows Hims leading on every placement metric, but the gap to Ro on top-three rate is only 5.6 points, and Ro holds a slightly higher net sentiment score. The most important readout is that Hims and Ro are effectively tied on valid recommendation coverage, and Hims' lead is now carried almost entirely by its rank-one rate.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "Which is the best online prescription service?" Result: Hims appeared as a top recommendation with strong placement, contributing to its 55.6% valid recommendation coverage on this surface.

Perplexity / Brand Recommendation Prompt: "What is the best online pharmacy?" Result: Hims was mentioned but not consistently recommended in top positions, reflecting the platform gap where Hims holds only 33.3% valid recommendation coverage and no rank-one placements.

Gemini / Brand Recommendation Prompt: "What is the best mail-order pharmacy?" Result: Hims was present in nearly all observations but converted to a valid recommendation at only a 17.8% rate, showing a wide presence-to-recommendation gap.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map which high-intent prompts shifted Hims from rank one to rank two or rank three, and identify which competitor is capturing those first-position recommendations.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and AI surfaces where Hims is present but not converting to valid recommendation credit, starting with Perplexity and Gemini.

Phase 3: Owned Answer Layer Buildout Strengthen owned content that supports first-position recommendation outcomes, focusing on the discovery and evaluation prompts where rank-one share has eroded.

Phase 4: Citation / Authority Layer Development Build the public evidence layer that AI systems can retrieve and synthesize, with emphasis on sources that support Hims as the default first-choice answer.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track rank-one recovery monthly across the six AI surface families, with particular attention to whether the gap with Ro widens or narrows.

Why This Matters

AI-generated recommendations are increasingly shaping which ED treatment providers appear on buyer shortlists. Hims is still the most visible and most recommended brand in the category, but the benchmark shows that visibility alone is no longer converting to first-position recommendations at the rate it did in July 2026. A buyer asking an AI assistant which ED treatment service to use is now less likely to receive Hims as the single default answer.

The next move is not broader awareness. It is targeted correction of the prompt, page, and citation layers that determine whether Hims appears first, second, or third when AI systems form their recommendations.

Core Metrics

Metric

Value

Mentions

278

Valid recommendations

142

Top 3 recommendation count

116

Rank #1 recommendation count

71

Average recommended rank

1.77

Positive mentions

194

Neutral mentions

83

Negative mentions

1

Raw mention presence rate

91.15%

Valid recommendation coverage

46.56%

Top 3 recommendation rate

38.03%

Rank #1 recommendation rate

23.28%

Net sentiment score

0.69

Strongest cluster by recommendation behavior

Brand Recommendation

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

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

For Hims, this is (194 × 1 + 83 × 0 + 1 × -1) / 278, which equals 0.69.

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, because a brand can be widely mentioned with low recommendation rates, or recommended often with mixed framing.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

7

5

1

1

0.57

Present, but mixed framing

Copilot

20

11

9

0

0.55

Present, not recommendation-led

Gemini

44

24

20

0

0.55

Present as context, not recommendation

Perplexity

12

7

5

0

0.58

Present, but not recommendation-led

AI Overviews

113

82

31

0

0.73

Strongest public recommendation signal

AI Mode

82

65

17

0

0.79

Strongest public recommendation signal

Methodology

  1. This report is a benchmark-based analysis of Hims' AI visibility and recommendation performance in the ED treatment pills category, based on the LLM Authority Index AI Market Discovery Index public benchmark and supporting metrics aggregation data. It is not a client implementation case study.
  2. The reporting window is September 2026, with July 2026 and August 2026 referenced for trend context.
  3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The analysis is based on 305 qualified observations in September 2026, drawn from 800 raw prompt-surface observations.
  5. The competitor universe includes 10 tracked brands: Hims, Ro, GoodRx Care, Lemonaid Health, PlushCare, BlueChew, Blink Health, Rex MD, K Health, and Optum.
  6. All qualified observations in the current public series fall into the brand recommendation cluster, which captures discovery and consideration prompts where a specific treatment provider is sought.
  7. Stage 0 extraction captured prompt-level observations including query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is defined as any appearance of the brand in a qualified observation, regardless of recommendation status.
  9. A valid recommendation is defined as an appearance where the brand is explicitly recommended or shortlisted as a treatment option, distinct from a neutral reference or cautionary mention.
  10. The public benchmark does not yet contain qualified observations in the pricing and value or multi-brand comparison classes, so this report cannot speak to those dynamics.
  11. Movement between months identifies changes worth investigating; it does not by itself establish the cause of those changes.
  12. Limitations: the public benchmark does not measure market share, sales, or revenue attribution from AI recommendations, and small-count movements for brands like K Health and Optum should be interpreted with limited bases in mind.

Get Your AI Visibility Audit

The public benchmark shows where Hims is winning and losing in AI-generated recommendations. A company-level audit goes deeper, mapping the specific prompts, surfaces, competitors, and evidence sources behind those shifts into a prioritized visibility strategy.

/ 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