CiteWorks Studio

GoodRx Care AI Market Strategy Report - ED Treatment Pills

Mark HuntleyBy Mark HuntleyFounder and CEO
8 minutes read

Key Takeaways

  • GoodRx Care ranked third in ED treatment pills with 39.02% valid recommendation coverage in September 2026, behind Hims and Ro.
  • Its visibility and placement improved since July 2026, with top-three rate up 8.1 points and rank-one rate up 4.5 points.
  • Google AI Mode and AI Overviews were its strongest surfaces, where existing coverage shows room to grow more first-position recommendations.
  • The biggest weakness was conversion from presence to recommendation, especially on ChatGPT, Gemini, Perplexity, and Copilot.

Answer Capsule

GoodRx Care holds the third-strongest recommendation position in the ED treatment pills category, with 39.02% valid recommendation coverage in September 2026, trailing Hims at 46.56% and Ro at 45.90%. The brand is the category's most notable story of improving placement and presence, with its top-three rate rising 8.1 points and rank-one rate rising 4.5 points since July 2026. GoodRx Care appears in 65.57% of qualified observations, making it the only brand besides the top two to appear in over half of AI-generated responses. The clearest weakness is a recommendation conversion gap on several AI platforms where presence is high but shortlist inclusion lags. The clearest opportunity is converting its strong presence into first-position recommendations on Google AI Mode and AI Overviews, where it already shows meaningful rank-one traction.

Who This Report Is For

This report is for brand, growth, and digital strategy leaders at GoodRx Care and for category analysts tracking how AI-generated recommendations are reshaping provider selection in the ED treatment market.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

GoodRx Care

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

10

Executive Summary

GoodRx Care is the strongest challenger in the ED treatment pills category, holding 39.02% valid recommendation coverage in September 2026. The brand sits 6.88 points behind Ro at 45.90% and 7.54 points behind category leader Hims at 46.56%. Across the July to September 2026 series, GoodRx Care recorded 200 mentions in 305 qualified observations, with 143 positive mentions, 56 neutral mentions, and 1 negative mention.

The strongest cluster for GoodRx Care is the brand recommendation and discovery cluster, which captured all 305 qualified observations in the public series. The brand's raw mention presence rate of 65.57% is the third highest in the category and the only presence rate above 50% outside the top two brands. Its top-three rate of 25.57% and rank-one rate of 8.52% both improved materially since July 2026, when they stood at 17.5% and 4.0% respectively.

The strongest platform signal is Google AI Mode, where GoodRx Care reaches 54.44% valid recommendation coverage, its highest of any tracked surface. The clearest platform gap is ChatGPT, where the brand appears in only 9.09% of observations despite the platform's high-intent discovery role in the category.

The benchmark shows a brand converting high presence into stronger placement. GoodRx Care's September 2026 coverage of 39.02% now sits just 6.88 points behind Ro, a repositioning that the top two brands cannot ignore.

What GoodRx Care Is Winning

GoodRx Care is winning on presence growth and placement improvement simultaneously. Its raw mention presence rate rose 9.9 points from July 2026 (55.7%) to September 2026 (65.57%), making it the only brand besides Hims and Ro to appear in over half of qualified observations.

The brand's placement gains are the clearest evidence of momentum. Top-three rate rose 8.1 points from 17.5% in July 2026 to 25.57% in September 2026. Rank-one rate rose 4.5 points from 4.0% to 8.52% over the same span, with rank-one count growing from 13 to 26 observations.

GoodRx Care also holds the strongest net sentiment profile among the leading brands. Its net sentiment score of 0.71 matches Hims and Ro, with only 1 negative mention recorded across 200 total mentions in September 2026.

Where GoodRx Care Has the Clearest AI Visibility Gaps

GoodRx Care shows visibility without full recommendation conversion on several platforms. On Gemini, the brand appears in 57.78% of observations but converts only 11.11% into valid recommendations. On Perplexity, presence is 33.33% but valid recommendation coverage is just 16.67%, with no top-three or rank-one placements recorded. On Copilot, presence is 28.57% but valid recommendation coverage is only 4.76%.

The ChatGPT gap is the most pronounced. GoodRx Care appears in just 9.09% of ChatGPT observations, while PlushCare appears in 81.82% and Ro appears in 72.73% on the same platform. This is a platform-specific absence rather than a category-wide weakness.

The brand also trails the leaders on average recommended rank. GoodRx Care holds an average recommended rank of 2.68, compared with Hims at 1.77 and Ro at 2.37. When GoodRx Care is recommended, it tends to appear lower in the shortlist than the top two brands.

Biggest Opportunity

The clearest opportunity for GoodRx Care is converting its high presence on Google AI Mode and AI Overviews into more first-position recommendations. On Google AI Mode, the brand already reaches 54.44% valid recommendation coverage with an 8.89% rank-one rate. On AI Overviews, it holds 50.00% coverage with a 14.17% rank-one rate, the second-highest rank-one rate in the category on that surface behind Hims at 28.33%.

The path from reference to recommendation is already partially built on these two surfaces. The next move is identifying which prompt themes drive GoodRx Care's rank-one appearances and reinforcing the owned content and citation sources that support those answers.

Competitive Landscape

Questions This Section Answers

  • How does GoodRx Care compare with Hims and Ro on top-three rate, rank-one rate, and average recommended rank?
  • Which tracked brands hold the strongest and weakest recommendation positions in the ED treatment pills category?

Hims and Ro hold the top recommendation positions in the ED treatment pills category, with GoodRx Care emerging as the strongest challenger. The top two brands remain closely matched, while GoodRx Care has closed the gap to single digits.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

GoodRx Care

25.57%

8.52%

2.68

0.71

Hims

38.03%

23.28%

1.77

0.69

Ro

32.46%

6.23%

2.37

0.71

PlushCare

10.16%

2.95%

3.11

0.79

BlueChew

7.87%

0.00%

3.00

0.77

Lemonaid Health

8.52%

1.64%

3.36

0.70

Rex MD

4.59%

0.98%

2.56

0.62

Blink Health

0.98%

0.00%

4.44

0.78

K Health

0.33%

0.00%

3.50

0.43

Optum

0.33%

0.00%

3.00

0.57

Average recommended rank covers rank-eligible recommendations only.

GoodRx Care holds the third-highest top-three rate and the second-highest rank-one rate in the category, ahead of Ro on first-position placements. The brand's average recommended rank of 2.68 indicates it is frequently appearing within the first three positions when recommended.

Prompt Evidence

Questions This Section Answers

  • Which real prompt examples explain GoodRx Care's rank-one traction on Google AI Mode and AI Overviews?
  • What prompt context exposes the ChatGPT gap where GoodRx Care is largely absent?

Google AI Mode / Brand Recommendation Prompt: "What is the best online prescription service?" Result: GoodRx Care appeared in the recommendation shortlist with a rank-one placement, contributing to its 8.89% rank-one rate on this surface.

ChatGPT / Brand Recommendation Prompt: "Which online doctors are legit?" Result: GoodRx Care was largely absent from ChatGPT responses, appearing in only 9.09% of observations on this platform while competitors captured the recommendation slots.

AI Overviews / Brand Recommendation Prompt: "Which is the best online prescription service?" Result: GoodRx Care secured a top-three placement, supporting its 38.33% top-three rate on AI Overviews, the second highest in the category on that surface.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map which high-intent prompts drive GoodRx Care's rank-one appearances on Google AI Mode and AI Overviews, and identify where the brand is present but not shortlisted.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and platforms where presence is high but recommendation conversion lags, starting with Gemini and Perplexity.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers the discovery and evaluation prompts where GoodRx Care is currently referenced but not recommended.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that supports GoodRx Care's recommendation positioning, focusing on sources that AI systems cite when building shortlists.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track monthly changes in presence, valid recommendation coverage, top-three rate, and rank-one rate to measure whether placement gains are sustained.

Why This Matters

AI-generated recommendations are becoming the default starting point for buyers evaluating ED treatment options. Being mentioned is no longer enough; the brands that win are the ones that appear in the first three recommended positions when a buyer asks which provider to choose.

GoodRx Care has already built the presence foundation. The next move is converting that presence into consistent first-position recommendations on the platforms where it is already gaining ground, and closing the ChatGPT gap where it is currently absent from the conversation.

Core Metrics

Metric

Value

Mentions

200

Valid recommendations

119

Top 3 recommendation count

78

Rank #1 recommendation count

26

Average recommended rank

2.68

Positive mentions

143

Neutral mentions

56

Negative mentions

1

Raw mention presence rate

65.57%

Valid recommendation coverage

39.02%

Top 3 recommendation rate

25.57%

Rank #1 recommendation rate

8.52%

Net sentiment score

0.71

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 GoodRx Care in September 2026, this equals (143 × 1 + 56 × 0 + 1 × -1) / 200, producing a net sentiment score of 0.71.

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

Questions This Section Answers

  • Which platforms give GoodRx Care its strongest and weakest sentiment signals?
  • Where is GoodRx Care present as context rather than as an active recommendation?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Mode

73

59

14

0

0.81

Strongest public recommendation signal

AI Overviews

88

62

26

0

0.70

Present, with strong placement gains

Gemini

26

14

12

0

0.54

Present as context, not recommendation

Perplexity

6

3

3

0

0.50

Positive, but sample too small

Copilot

6

4

1

1

0.50

Present, but not recommendation-led

ChatGPT

1

1

0

0

1.00

Positive, but sample too small

Methodology

  1. This report is a benchmark-based analysis of GoodRx Care's AI visibility and recommendation positioning in the ED treatment pills category, drawn from the LLM Authority Index AI Market Discovery Index public benchmark and supporting metrics aggregation.
  2. The reporting window is September 2026, with trend comparisons to July 2026 and August 2026 where the public series supports them.
  3. Six canonical 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, PlushCare, BlueChew, Lemonaid Health, Rex MD, Blink Health, K Health, and Optum.
  6. All qualified observations in the public series fell 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 in which the brand is explicitly recommended or shortlisted as a treatment provider option.
  10. Limitations: The public benchmark does not measure market share, sales, or revenue attribution from AI recommendations. It does not capture every possible AI response a user might receive. Movement between months identifies changes worth investigating; it does not by itself establish the cause of those changes. Brands with small valid recommendation counts, such as K Health and Optum, require careful interpretation of percentage movements.

Get Your AI Visibility Audit

The public benchmark shows where GoodRx Care is winning and losing in AI-generated recommendations. A company-level AI visibility audit goes deeper, mapping the specific prompts, competitor displacement patterns, and evidence sources that determine whether GoodRx Care appears in the shortlist or is left out of the answer.

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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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