CiteWorks Studio

RMA Network AI Market Strategy Report - IVF Clinics

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • RMA Network ranked third in IVF Clinics recommendation coverage at 21.45% in September 2026, behind CCRM Fertility and Shady Grove Fertility.
  • The brand posted the category’s largest month-over-month coverage gain, rising from 15.6% in August to 21.4% in September.
  • RMA Network’s visibility is supported by strong sentiment, with 77 positive mentions, 39 neutral mentions, and no negative mentions across 116 total mentions.
  • Its main gap is first-choice selection: a 3.63% rank-one rate shows the brand is often shortlisted but less often named as the top clinic, especially on Gemini and Google AI Mode.

Answer Capsule

RMA Network holds the third-strongest recommendation position in the IVF Clinics category, with valid recommendation coverage of 21.45% in September 2026, behind CCRM Fertility at 31.72% and Shady Grove Fertility at 22.66%. The brand posted the largest single-month coverage increase in the category, rising from 15.6% in August to 21.4% in September, though the benchmark classifies that movement as within normal variation. RMA Network's clearest strength is its balanced presence and recommendation profile, with raw mention presence of 35.05% converting into meaningful recommendation coverage. Its clearest weakness is a rank-one rate of 3.63%, which trails CCRM Fertility's 12.39% and Columbia University Fertility Center's 8.76%, indicating the brand is frequently shortlisted but less often selected as the single top choice. The clearest opportunity lies in converting its strong presence and positive framing into more first-position recommendations across high-intent discovery prompts.

Who This Report Is For

This report is for RMA Network's marketing, growth, and patient acquisition leadership teams evaluating how AI search and chat platforms recommend the brand during fertility clinic discovery.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

RMA Network

Category / market studied

IVF Clinics

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1 active of 3 tracked

AI observations analyzed

331 qualified observations

Competitors tracked

10

Executive Summary

RMA Network holds a strong and improving position in AI-generated recommendations for IVF Clinics. The benchmark shows the brand at 21.45% valid recommendation coverage in September 2026, placing it third among ten tracked fertility providers. RMA Network's coverage rose from 18.1% at the July baseline to 21.4% in September, and the brand recorded the largest single-month numeric increase in the category, moving from 15.6% in August to 21.4% in September.

The brand's raw presence rate of 35.05% is the third highest in the category, and its positive mention rate of 23.26% indicates that when RMA Network appears, it is frequently framed favorably. The brand recorded 77 positive mentions, 39 neutral mentions, and zero negative mentions across 331 qualified observations, producing a net sentiment score of 0.6638.

RMA Network's strongest platform signal comes from Perplexity, where the brand achieves a 28.57% rank-one rate and a 28.57% top-three rate, outperforming its category-wide averages on both measures. The clearest platform gap is on Gemini, where RMA Network holds 13.21% valid recommendation coverage but a 0.00% rank-one rate, suggesting the brand is present and recommended but rarely positioned as the first choice.

The strongest cluster for RMA Network is Best IVF Clinics Discovery & Evaluation, which accounts for all 331 qualified observations in the September benchmark. The Pricing & Value and Multi-Brand Comparison clusters registered zero observations, meaning the public benchmark cannot yet assess how AI systems present RMA Network on cost or head-to-head comparison questions.

What RMA Network Is Winning

Questions This Section Answers

  • How has RMA Network's recommendation coverage trended since the July baseline?
  • Where does RMA Network show first-choice strength by platform?
  • What does RMA Network's sentiment profile indicate about how it is framed?

RMA Network's most significant win is its upward recommendation trajectory. The brand's valid recommendation coverage rose from 18.1% in July to 21.4% in September, and its valid recommendation count reached 71, the second highest in the category after CCRM Fertility's 105. The gap between RMA Network and category leader CCRM Fertility narrowed in every month of the series, from 19.4 points at baseline to 10.3 points in September.

The brand also shows strength on Perplexity, where it achieves a 28.57% rank-one rate and a 28.57% top-three rate. This platform-level performance indicates that RMA Network is not merely present on Perplexity but is frequently selected as the first recommendation when the platform surfaces fertility clinic options.

RMA Network's sentiment profile is another clear win. With a net sentiment score of 0.6638 and zero negative mentions, the brand maintains one of the strongest framing profiles in the category. Its positive visibility rate of 23.26% means that nearly a quarter of all qualified observations present RMA Network favorably.

Where RMA Network Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • What does RMA Network's rank-one rate reveal about how it is being recommended?
  • Where is RMA Network recommended without ever being positioned first?
  • Which platform shows a presence-to-recommendation conversion gap for RMA Network?

RMA Network's most visible gap is its rank-one rate. At 3.63%, the brand trails CCRM Fertility's 12.39% and Columbia University Fertility Center's 8.76%, despite holding higher overall coverage than Columbia University Fertility Center. This pattern suggests RMA Network is frequently included in recommendation shortlists but is less often positioned as the single best option.

The brand's average recommended rank of 3.377 also indicates room for improvement. CCRM Fertility holds an average recommended rank of 2.1609, and Columbia University Fertility Center holds 1.6818, meaning both competitors are positioned higher on average when they appear in recommendations.

Gemini represents a specific platform gap. RMA Network holds 13.21% valid recommendation coverage on Gemini but records a 0.00% rank-one rate, meaning the platform recommends the brand without ever positioning it first. By comparison, CCRM Fertility achieves a 9.43% rank-one rate on Gemini, and Columbia University Fertility Center achieves 13.21%.

RMA Network also shows a presence-to-recommendation conversion gap on Google AI Mode. The brand appears in 37.08% of qualified observations on that platform but converts to only 21.35% valid recommendation coverage, suggesting a meaningful share of mentions do not translate into active recommendations.

Biggest Opportunity

Questions This Section Answers

  • What is the most direct path to improving RMA Network's recommendation-stage visibility?

RMA Network's clearest opportunity is converting its strong presence and positive framing into more first-position recommendations. The brand's raw presence rate of 35.05% and positive visibility rate of 23.26% provide a solid foundation, but its rank-one rate of 3.63% shows that RMA Network is frequently shortlisted without being selected as the top choice. Closing the gap between shortlist inclusion and first-position selection, particularly on Gemini and Google AI Mode where the brand holds meaningful coverage but low rank-one rates, represents the most direct path to strengthening recommendation-stage visibility.

Competitive Landscape

Questions This Section Answers

  • Where does RMA Network stand relative to the leading competitors in the IVF Clinics category?
  • Which ranking metric shows the widest gap between RMA Network and CCRM Fertility?

CCRM Fertility holds the strongest recommendation position in the IVF Clinics category, leading valid recommendation coverage, top-three rate, and rank-one rate. RMA Network sits third in coverage behind CCRM Fertility and Shady Grove Fertility, with a narrower gap to second place than the gap separating it from the brands below.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

CCRM Fertility

20.54%

12.39%

2.1609

0.6264

Shady Grove Fertility

13.29%

2.42%

2.8889

0.5541

RMA Network

10.88%

3.63%

3.377

0.6638

Columbia University Fertility Center

11.78%

8.76%

1.6818

0.9298

Pacific Fertility Center

3.63%

0.91%

3.25

0.4

Kindbody

3.32%

0.30%

3.5217

0.5319

Spring Fertility

2.72%

0.60%

4

0.6875

Boston IVF

0.60%

0.30%

4.3333

0.5714

Extend Fertility

0.30%

0.30%

6

0.2593

US Fertility

0.00%

0.00%

N/A

0.0

Average recommended rank covers rank-eligible recommendations only.

RMA Network's top-three rate of 10.88% places it fourth in the category, behind Columbia University Fertility Center's 11.78%, despite RMA Network holding higher overall coverage. The brand's rank-one rate of 3.63% is the third highest among tracked providers, but it trails CCRM Fertility and Columbia University Fertility Center by a wide margin.

Prompt Evidence

Perplexity / Best IVF Clinics Discovery & Evaluation Prompt: "best IVF clinics" Result: RMA Network appeared in 57.14% of qualified Perplexity observations and was positioned first in 28.57% of them, indicating strong first-choice preference on this platform.

ChatGPT / Best IVF Clinics Discovery & Evaluation Prompt: "IVF clinic recommendations" Result: RMA Network achieved 36.84% valid recommendation coverage on ChatGPT with a 26.32% top-three rate, showing the brand is frequently shortlisted when ChatGPT surfaces clinic options.

Gemini / Best IVF Clinics Discovery & Evaluation Prompt: "top fertility clinics" Result: RMA Network appeared in 33.96% of qualified Gemini observations but recorded a 0.00% rank-one rate, indicating the brand is present and recommended without ever being positioned first.

Google AI Mode / Best IVF Clinics Discovery & Evaluation Prompt: "fertility clinic near me" Result: RMA Network appeared in 37.08% of qualified Google AI Mode observations but converted to only 21.35% valid recommendation coverage, showing a presence-to-recommendation conversion gap on this platform.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts and surfaces where RMA Network appears without receiving first-position recommendations, with emphasis on Gemini and Google AI Mode.

Phase 2: Recommendation Readiness Plan Identify the content and evidence gaps that prevent RMA Network from converting shortlist inclusion into rank-one placement, focusing on the attributes AI systems associate with top-recommended clinics.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers high-intent discovery questions, ensuring RMA Network's clinical outcomes, success rates, and differentiators are clearly represented in the public evidence layer.

Phase 4: Citation / Authority Layer Development Strengthen the third-party citation sources that AI systems use when forming fertility clinic recommendations, prioritizing sources that currently support CCRM Fertility and Columbia University Fertility Center.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track RMA Network's rank-one rate and platform-level coverage monthly to measure whether first-position recommendations improve across Gemini, Google AI Mode, and other surfaces.

Why This Matters

AI-generated recommendations are becoming a primary input into fertility clinic selection. When prospective patients ask AI systems which IVF clinic to choose, the brands named first and most consistently gain a structural advantage in the buyer journey. RMA Network's presence and positive framing provide a foundation, but presence alone does not determine which clinic a patient contacts first.

The evidence shows that RMA Network is frequently shortlisted but less often selected as the single top recommendation. The next move is targeted correction of the prompt, page, and citation layers to convert strong visibility into stronger first-position recommendation outcomes.

Core Metrics

Metric

Value

Mentions

116

Valid recommendations

71

Top 3 recommendation count

36

Rank #1 recommendation count

12

Average recommended rank

3.377

Positive mentions

77

Neutral mentions

39

Negative mentions

0

Raw mention presence rate

35.05%

Valid recommendation coverage

21.45%

Top 3 recommendation rate

10.88%

Rank #1 recommendation rate

3.63%

Net sentiment score

0.6638

Strongest cluster by recommendation behavior

Best IVF Clinics Discovery & Evaluation

Strongest platform by recommendation behavior

Perplexity

Sentiment Score

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

For RMA Network, the calculation is (77 × 1 + 39 × 0 + 0 × -1) / 116, producing a net sentiment score of 0.6638.

This score 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 the same presence rate can reflect dramatically different recommendation outcomes depending on how the brand is framed.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

17

16

1

0

0.9412

Strongest public recommendation signal

Copilot

13

9

4

0

0.6923

Present, but not recommendation-led

Gemini

18

10

8

0

0.5556

Present, but not recommendation-led

Google AI Mode

33

19

14

0

0.5758

Present, but not recommendation-led

Google AI Overviews

27

18

9

0

0.6667

Positive, but sample too small

Perplexity

8

5

3

0

0.625

Strongest rank-one signal

Methodology

  1. Report orientation: This is a benchmark-based analysis of RMA Network's AI recommendation visibility in the IVF Clinics vertical, derived from the LLM Authority Index AI Market Discovery Index. It is not a client implementation case study.
  2. Reporting window: Data reflects September 2026 observations, with comparative reference to July 2026 and August 2026 where available.
  3. Platforms tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews, representing six canonical AI surface families.
  4. Observation count: 331 qualified benchmark observations in September 2026, drawn from 558 source prompt-surface observations and 399 unique questions.
  5. Competitor universe: Ten tracked brands: CCRM Fertility, Shady Grove Fertility, RMA Network, Columbia University Fertility Center, Pacific Fertility Center, Kindbody, Spring Fertility, Boston IVF, Extend Fertility, and US Fertility.
  6. Public clusters used: The September benchmark contains 331 qualified observations in the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters registered zero observations.
  7. Stage 0 role: Raw prompt-surface observations were collected and deduplicated before qualification. Of 558 source observations, 481 were relevant and 77 were irrelevant, producing the 331-observation qualified denominator.
  8. Definition of a mention: A brand appears in an AI response, regardless of whether the mention includes a recommendation.
  9. Definition of a valid recommendation: A brand receives a clear recommendation within a qualified observation. Valid recommendation coverage measures the share of qualified observations where the brand receives such a recommendation.
  10. Limitations: The public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, or social mention volume. Observed changes may reflect shifts in AI model behavior, prompt composition, or broader information dynamics and should not be treated as causal. Small-count brands carry wider relative uncertainty.
  11. Platform and cluster metrics are calculated within the qualified benchmark denominator, not the raw collection universe.
  12. The public benchmark cannot currently answer pricing, value, or head-to-head comparison questions because no qualified observations exist in those buyer-intent classes.

See How AI Is Recommending Your Brand

The public benchmark shows where RMA Network stands in AI-generated fertility clinic recommendations. A company-level AI visibility audit can map the specific prompts, platforms, and competitor displacement patterns behind those numbers, identifying which high-intent questions RMA Network wins and where competitors are being recommended instead.

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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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