CiteWorks Studio

RMA Network AI Market Strategy Report - Fertility Clinics

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • RMA Network increased valid recommendation coverage from 14.1% in July 2026 to 19.9% in September 2026, moving into third place in the fertility clinics benchmark.
  • Growth was broad-based: raw mention presence reached 33.4%, top-three recommendation rate rose to 10.8%, and rank-one recommendation rate improved to 3.9%.
  • The main gap is first-position conversion, where RMA Network trails CCRM Fertility despite stronger visibility and favorable sentiment across platforms.
  • ChatGPT and Perplexity showed the strongest recommendation performance for RMA Network, while Gemini and Google AI Mode exposed weaker conversion into first-choice recommendations.

Answer Capsule

RMA Network is the strongest rising challenger in the Fertility Clinics benchmark, with valid recommendation coverage climbing from 14.1% in July 2026 to 19.9% in September 2026, a gain of 5.8 points across the series. The brand now holds the third-highest recommendation coverage in the category, trailing only CCRM Fertility and Shady Grove Fertility. RMA Network's gains are broad, spanning raw mention presence, top-three placement, and rank-one recommendations simultaneously. The clearest weakness is the persistent gap to the category leader, CCRM Fertility, which still holds a 9.6-point coverage advantage. The clearest opportunity is converting its rising presence into more first-position recommendations, where its 3.9% rank-one rate trails its 10.8% top-three rate by a wide margin.

Who This Report Is For

This report is for marketing, growth, and patient acquisition leaders at fertility clinic networks who need to understand how AI-generated recommendations are shaping clinic selection and where their brand wins or loses at the decision moment.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

RMA Network

Category / market studied

Fertility Clinics

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

332

Competitors tracked

10

Executive Summary

RMA Network is the standout riser in the Fertility Clinics benchmark. Valid recommendation coverage climbed from 14.1% in July 2026 to 19.9% in September 2026, a 5.8-point gain across the three-month series, with the August-to-September jump of 5.1 points marking the largest single-month move for any tracked brand. The brand now sits third in the category, behind CCRM Fertility at 29.5% and Shady Grove Fertility at 22.3%.

The gains are not confined to one metric. Raw mention presence rose from 24.8% to 33.4%, top-three rate moved from 5.4% to 10.8%, and rank-one rate climbed from 0.4% to 3.9%. RMA Network generated 66 valid recommendations in September 2026, up from 34 in July, with 13 rank-one placements against just one in July. This is a pattern of simultaneous improvement across presence, prominence, and first-choice conversion, distinct from a single-placement shift.

The strongest cluster is the brand recommendation class, which accounts for all 332 qualified observations in September 2026. Within that cluster, RMA Network's positive visibility rate of 22.3% and net sentiment score of 0.67 indicate that when the brand appears, it is framed favorably. The weakest area is rank-one conversion relative to top-three presence, where RMA Network converts only about one in three top-three placements into the first recommendation.

The strongest platform signal comes from ChatGPT, where RMA Network holds a 25.0% valid recommendation coverage rate and a 7.5% rank-one rate. Perplexity also shows strength, with a 26.7% coverage rate and a 13.3% rank-one rate, though on a smaller observation base. The clearest platform gap is Gemini, where RMA Network holds an 18.0% coverage rate but has no rank-one placements at all.

The benchmark shows a category in motion. CCRM Fertility's lead over RMA Network narrowed from 19.8 points in July to 9.6 points in September, and the two brands now sit within 23.8 points of each other on raw mention presence, where they were 42.6 points apart in July. RMA Network's trajectory suggests a challenger converting visibility into recommendation share, but the rank-one gap indicates the top position remains concentrated in the leader's hands.

What RMA Network Is Winning

Questions This Section Answers

  • What evidence shows RMA Network's gains are more than a single-month spike?
  • Where does RMA Network show the strongest platform-specific recommendation signal?

RMA Network's clearest win is the consistency of its upward movement. The brand rose in both intervening months of the July-to-September series, with coverage climbing from 14.1% to 19.9%. This is not a single-month spike but a sustained pattern of improvement.

The brand also shows strength in recommendation breadth. RMA Network generated 66 valid recommendations in September 2026, more than double its July count of 34. Its top-ten rate of 18.7% means the brand appears in recommended lists across a wide range of prompts, not just a narrow set of favorable queries.

Sentiment is another area of strength. RMA Network holds a net sentiment score of 0.67, the highest among the top four brands by coverage. With 74 positive mentions and zero negative mentions across 111 present observations, the brand's public framing is consistently favorable.

The ChatGPT platform signal deserves specific attention. RMA Network holds a 25.0% valid recommendation coverage rate on ChatGPT, the highest of any platform in its portfolio, with a 7.5% rank-one rate and a 93.75% net sentiment score among mentions. This suggests the brand's evidence layer is particularly effective on OpenAI's platform.

Where RMA Network Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How wide is the gap between RMA Network's top-three presence and its rank-one conversion?
  • Which platforms show RMA Network present but rarely recommended as the first choice?

The clearest gap is rank-one conversion. RMA Network holds a 10.8% top-three rate but converts only 3.9% of all observations into first-position recommendations. CCRM Fertility, by contrast, converts 10.5% of observations into rank-one placements, nearly three times RMA Network's rate. Coverage parity at the top-three level does not translate into first-choice parity.

The Gemini platform is a specific weakness. RMA Network holds an 18.0% valid recommendation coverage rate on Gemini with a 22.0% positive visibility rate, yet records zero rank-one placements across 50 observations. The brand is present and recommended, but never as the first choice. This mirrors the overall pattern: RMA Network appears in recommendation lists but is not yet the default answer.

The gap to CCRM Fertility remains substantial despite the narrowing trend. CCRM Fertility holds a 29.5% coverage rate against RMA Network's 19.9%, and a 57.2% raw mention presence rate against 33.4%. While RMA Network is closing the distance, the leader still appears in nearly twice as many responses.

RMA Network also shows limited presence in the AI Mode surface relative to its overall strength. On Google AI Mode, the brand holds a 37.8% raw mention presence rate but converts only 18.9% of observations into valid recommendations, a conversion gap of nearly 19 points. This suggests the brand is mentioned frequently but not consistently recommended in that surface.

Biggest Opportunity

Questions This Section Answers

  • What is the most valuable conversion gap RMA Network can close?

The biggest opportunity is converting top-three presence into rank-one recommendations. RMA Network appears in the top three in 10.8% of observations but is the first recommendation in only 3.9%. CCRM Fertility demonstrates that higher rank-one conversion is achievable in this category, holding a 10.5% rank-one rate.

The path runs through the prompts where RMA Network already wins top-three placement but loses the first position to CCRM Fertility or another competitor. If RMA Network can identify which queries produce top-three placement without rank-one status, and strengthen the evidence layer that supports first-choice framing, it can close the most valuable gap in the category. The ChatGPT platform, where RMA Network already holds a 7.5% rank-one rate, offers a template for what success looks like on other surfaces.

Competitive Landscape

Questions This Section Answers

  • How does RMA Network compare to CCRM Fertility on top-three and rank-one recommendation rates?
  • Which tracked competitor holds the strongest overall recommendation position in the category?

CCRM Fertility holds the strongest recommendation position in the Fertility Clinics category, leading all tracked brands in valid recommendation coverage, top-three rate, and rank-one rate. RMA Network sits third in coverage but shows the strongest upward trajectory, with gains across presence, top-three placement, and rank-one conversion.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

RMA Network

10.84%

3.92%

3.39

0.6667

CCRM Fertility

18.37%

10.54%

2.40

0.5789

Shady Grove Fertility

13.25%

2.41%

3.03

0.5600

NYU Langone Fertility

10.84%

1.51%

2.70

0.8438

Pacific Fertility Center

4.52%

0.90%

3.04

0.3919

Spring Fertility

4.22%

1.20%

3.33

0.6250

Kindbody

3.31%

0.30%

3.52

0.5319

Illume Fertility

0.30%

0.00%

5.00

0.0541

Boston IVF

0.00%

0.00%

5.33

0.5455

US Fertility

0.00%

0.00%

0.0000

Average recommended rank covers rank-eligible recommendations only.

RMA Network's top-three rate of 10.84% matches NYU Langone Fertility but exceeds it on rank-one conversion, where RMA Network holds a 3.92% rate against NYU Langone's 1.51%. The brand trails CCRM Fertility substantially on both metrics, and the table shows that CCRM Fertility converts a far higher share of its top-three placements into first-position recommendations.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "best IVF clinics" Result: RMA Network appeared in the recommended list with a top-three placement, contributing to its 25.0% valid recommendation coverage rate on ChatGPT.

Perplexity / Brand Recommendation Prompt: "top fertility centers" Result: RMA Network was recommended in 26.7% of Perplexity observations with a 13.3% rank-one rate, its strongest first-position performance on any platform.

Gemini / Brand Recommendation Prompt: "fertility clinic recommendations" Result: RMA Network appeared in 18.0% of Gemini observations as a valid recommendation but never held the first position, showing presence without rank-one conversion.

Google AI Mode / Brand Recommendation Prompt: "IVF clinic near me" Result: RMA Network was mentioned in 37.8% of AI Mode observations but converted only 18.9% into valid recommendations, a wide gap between presence and recommendation.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where RMA Network wins top-three placement but loses rank-one status, identifying which competitors take the first position.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and platforms where rank-one conversion is weakest, starting with Gemini and Google AI Mode.

Phase 3: Owned Answer Layer Buildout Strengthen owned content that supports first-choice framing, particularly around the queries where RMA Network already appears in top-three lists.

Phase 4: Citation / Authority Layer Development Build the public evidence layer that AI systems can retrieve and synthesize, focusing on the source types that correlate with CCRM Fertility's rank-one strength.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track rank-one conversion rates monthly to measure whether top-three presence is translating into first-position recommendations over time.

Why This Matters

AI-generated recommendations are becoming the first filter in fertility clinic selection. When a prospective patient asks an AI assistant which clinic to consider, the brands named first and most consistently shape the consideration set before the patient ever visits a website. RMA Network's rising presence means it is entering more of those conversations, but presence alone does not win the decision.

The next move is targeted correction of the prompt, page, and citation layers that determine whether RMA Network appears as a passing mention or as the first recommendation. The benchmark shows the brand is close: top-three parity with the leader on some surfaces, favorable sentiment, and a rising trajectory. Converting that proximity into rank-one placement is the difference between being a strong alternative and being the default answer.

Core Metrics

Metric

Value

Mentions

111

Valid recommendations

66

Top 3 recommendation count

36

Rank #1 recommendation count

13

Average recommended rank

3.39

Positive mentions

74

Neutral mentions

37

Negative mentions

0

Raw mention presence rate

33.43%

Valid recommendation coverage

19.88%

Top 3 recommendation rate

10.84%

Rank #1 recommendation rate

3.92%

Net sentiment score

0.6667

Strongest cluster by recommendation behavior

Best IVF Clinics & Top Fertility Centers

Strongest platform by recommendation behavior

ChatGPT

Sentiment Score

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

For RMA Network, this calculation is (74 x 1 + 37 x 0 + 0 x -1) / 111, producing a net sentiment score of 0.6667.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI responses but be framed negatively or neutrally, which does not translate into patient consideration. 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, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because the same presence rate can hide very different recommendation outcomes.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

16

15

1

0

0.9375

Strongest public recommendation signal

Copilot

10

8

2

0

0.8000

Positive, but sample too small

Gemini

18

11

7

0

0.6111

Present, but not recommendation-led

Perplexity

8

4

4

0

0.5000

Positive, but sample too small

AI Overviews

25

19

6

0

0.7600

Strong recommendation signal

AI Mode

34

17

17

0

0.5000

Present as context, not recommendation

Methodology

  1. This report is a benchmark-based analysis of RMA Network's AI recommendation visibility in the Fertility Clinics category, drawn from the LLM Authority Index AI Market Discovery Index and CiteWorks Studio interpretation of that public data. It is not a client implementation case study.
  2. The reporting window is September 2026, with comparative context from July and August 2026 where the benchmark provides it.
  3. Six canonical AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The benchmark began with 567 prompt-surface observations in September 2026, of which 407 were unique questions and 567 mentioned a tracked brand or competitor.
  5. After qualification, 332 observations formed the public denominator for all brand-level metrics. The raw collection universe is larger than the qualified set by design.
  6. Ten fertility clinic brands were tracked: CCRM Fertility, Shady Grove Fertility, RMA Network, NYU Langone Fertility, Kindbody, Pacific Fertility Center, Spring Fertility, Boston IVF, Illume Fertility, and US Fertility.
  7. All qualified observations in September 2026 fell into the brand recommendation class. Pricing, value, and multi-brand comparison clusters had no public signal in this dataset.
  8. Stage 0 extraction captured prompt-level observations including the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  9. A mention is defined as any qualified observation where the brand appears, regardless of context. RMA Network appeared in 111 of 332 qualified observations.
  10. A valid recommendation is defined as a qualified observation where the brand receives a positive recommendation. RMA Network received 66 valid recommendations in September 2026.
  11. The public benchmark records changes in AI recommendation behavior. It does not establish why those changes occurred, and three months of movement should not yet be treated as a durable trend.
  12. Limitations: this public dataset contains no pricing, value, or head-to-head comparison observations, so RMA Network's performance in those buyer-intent classes cannot be assessed. Small-count movements on individual platforms may not indicate durable patterns.

See How AI Is Recommending Your Brand

AI-generated recommendations are reshaping how patients discover and choose fertility clinics. Understanding where your brand appears, how often it is recommended, and whether it wins the first position is now essential to competitive strategy. An AI visibility audit reveals your current recommendation footprint across the platforms where patients are forming their shortlists.

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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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