CiteWorks Studio

Spring Fertility AI Market Strategy Report - Fertility Clinics

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Spring Fertility reached 6.33% valid recommendation coverage across 332 qualified AI observations, ranking seventh out of ten tracked fertility clinic brands.
  • The brand’s strongest signal was sentiment, with 21 positive mentions, 10 neutral mentions, 1 negative mention, and a net sentiment score of 0.625.
  • Its main weakness was recommendation prominence, with a 4.22% top-three rate and 1.20% rank-one rate despite appearing in 9.64% of observations.
  • Google AI Mode and Google AI Overviews drove most recommendation activity, while Perplexity showed presence without converting Spring Fertility into a recommendation.

Answer Capsule

Spring Fertility holds a modest but real position in AI-generated recommendations for fertility clinics, with valid recommendation coverage of 6.33% in September 2026. The brand appears in 9.64% of qualified observations but converts only a portion of that presence into actual recommendations, indicating visibility without proportional recommendation strength. Spring Fertility's clearest win is a positive net sentiment score of 0.625, suggesting that when the brand is discussed, framing tends to be favorable. The clearest weakness is the absence of any presence in pricing, comparison, or evaluation prompt clusters, leaving the brand exposed in later-stage buyer journeys. The biggest opportunity lies in converting its positive framing into stronger top-three placement, where it currently holds only a 4.22% rate.

Who This Report Is For

This report is for marketing, growth, and patient acquisition leaders at Spring Fertility who need to understand how AI systems currently recommend the brand compared with competitors in the fertility clinic category.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Spring Fertility

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

3

AI observations analyzed

332

Competitors tracked

10

Executive Summary

Spring Fertility holds a mid-tier position in the Fertility Clinics AI Market Discovery benchmark, with valid recommendation coverage of 6.33% in September 2026. The brand appears in 32 of 332 qualified observations, generating 21 valid recommendations. This places Spring Fertility seventh among ten tracked brands, ahead of Boston IVF, Illume Fertility, and US Fertility but behind category leaders CCRM Fertility, Shady Grove Fertility, and RMA Network.

The brand's strongest signal is sentiment. Spring Fertility recorded 21 positive mentions, 10 neutral mentions, and only 1 negative mention across the observation set, producing a net sentiment score of 0.625. This is the fourth-highest sentiment score in the category, behind NYU Langone Fertility, RMA Network, and CCRM Fertility. When AI systems discuss Spring Fertility, the framing is predominantly favorable.

The weakest signal is recommendation prominence. Spring Fertility holds a top-three rate of 4.22% and a rank-one rate of 1.20%, meaning the brand is rarely the first or even the primary recommendation when AI systems name fertility clinics. The average recommended rank of 3.33 indicates that when Spring Fertility is recommended, it tends to appear lower in the list rather than at the top.

Across platforms, Spring Fertility shows its strongest recommendation behavior in Google AI Mode and Google AI Overviews, while ChatGPT and Copilot produce more modest results. Perplexity shows presence without recommendation conversion. The clearest platform gap is Perplexity, where the brand appears but is never recommended.

All 332 qualified observations in September 2026 fell into the brand recommendation class. No pricing, value, or head-to-head comparison observations were captured for any brand in the category, meaning the public benchmark cannot yet assess how AI systems position Spring Fertility on cost or direct comparison queries.

What Spring Fertility Is Winning

Spring Fertility's clearest evidence-backed win is its positive framing quality. With a net sentiment score of 0.625, the brand is discussed favorably when it appears in AI responses. Only three competitors in the tracked set score higher on this measure.

The brand also shows a meaningful conversion from presence to recommendation. Spring Fertility appears in 9.64% of qualified observations and converts 21 of those 32 appearances into valid recommendations, a conversion rate that outpaces several competitors with higher raw presence. This suggests the brand's public evidence layer supports recommendation when AI systems retrieve it.

Spring Fertility's strongest platform signal is Google AI Mode, where the brand holds a 5.56% valid recommendation coverage and a 2.22% rank-one rate. Google AI Overviews also produces a 6.00% valid recommendation coverage with a 1.00% rank-one rate. These two Google surfaces account for the majority of the brand's recommendation activity.

Where Spring Fertility Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How far does Spring Fertility trail category leaders on top-three and rank-one recommendation rates?
  • Which platform shows the clearest presence-without-recommendation problem for Spring Fertility?

Spring Fertility's most significant gap is recommendation prominence. The brand holds a 4.22% top-three rate, well below category leaders CCRM Fertility at 18.37% and Shady Grove Fertility at 13.25%. Even RMA Network, which sits directly above Spring Fertility in overall coverage, holds a 10.84% top-three rate. Spring Fertility is recommended, but it is rarely recommended first or second.

The brand's rank-one rate of 1.20% places it eighth in the category, ahead of only Boston IVF, Illume Fertility, and US Fertility. CCRM Fertility converts 10.54% of all observations into rank-one recommendations, while Spring Fertility converts just over one percent. This gap matters because the first recommendation in an AI response carries disproportionate weight in buyer consideration.

Spring Fertility also shows a platform-specific weakness on Perplexity. The brand appears in one of 15 observations on that platform but receives no valid recommendation. ChatGPT produces only a 7.50% valid recommendation coverage, and Copilot shows presence without recommendation value attributed in the dataset.

The brand's presence rate of 9.64% is lower than its mid-tier peers. Pacific Fertility Center holds a 22.29% presence rate, and NYU Langone Fertility holds 19.28%. Spring Fertility is simply less visible across the prompt surface than the brands immediately above it in the standings.

Biggest Opportunity

Spring Fertility's clearest opportunity is converting its positive framing into stronger top-three recommendation placement. The brand already earns favorable sentiment when discussed, with a 0.625 net sentiment score and only one negative mention across the entire observation set. The challenge is not how the brand is framed; it is how often the brand is positioned as a leading choice.

The path forward is to strengthen the public evidence layer that supports top-three recommendations. This means building content and citation sources that answer high-intent queries about fertility treatment, clinic quality, and patient outcomes in ways that position Spring Fertility as a primary recommendation rather than a secondary option. The brand's current average recommended rank of 3.33 suggests it is often the third or fourth name listed; moving into the top two positions on a consistent basis would align its recommendation placement with its already-positive framing.

Competitive Landscape

Questions This Section Answers

  • Where does Spring Fertility rank among tracked fertility clinics on valid recommendation coverage?
  • How does Spring Fertility's top-three rate and sentiment compare with the brands directly above it?

CCRM Fertility, Shady Grove Fertility, and RMA Network hold the strongest recommendation-stage positions in the fertility clinic category, with CCRM Fertility leading at 29.52% valid recommendation coverage. Spring Fertility sits in the mid-tier, holding seventh place with 6.33% coverage and trailing the top three brands by a substantial margin.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

CCRM Fertility

18.37%

10.54%

2.40

0.5789

Shady Grove Fertility

13.25%

2.41%

3.03

0.56

RMA Network

10.84%

3.92%

3.39

0.6667

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

0.625

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%

N/A

0.00

Average recommended rank covers rank-eligible recommendations only.

Spring Fertility's top-three rate of 4.22% is comparable to Pacific Fertility Center's 4.52%, but the brand trails NYU Langone Fertility and RMA Network by more than six percentage points. The brand's sentiment score of 0.625 is stronger than several competitors with higher recommendation coverage, indicating that framing quality is not the constraint on Spring Fertility's recommendation performance.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "egg retrieval process" Result: Spring Fertility received a valid recommendation with a rank-one placement, one of only four rank-one results for the brand across all platforms.

Google AI Overviews / Brand Recommendation Prompt: "cost to freeze eggs" Result: Spring Fertility appeared in the response with positive framing, contributing to the brand's 19 positive mentions on this platform.

ChatGPT / Brand Recommendation Prompt: "ivf process" Result: Spring Fertility received a valid recommendation but placed outside the top three, consistent with the brand's 2.50% top-three rate on ChatGPT.

Perplexity / Brand Recommendation Prompt: "how much does it cost to freeze your eggs" Result: Spring Fertility appeared in the response but received no valid recommendation, reflecting the brand's presence-without-conversion pattern on this platform.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map which high-intent prompts currently produce Spring Fertility recommendations and which produce competitor recommendations instead, with particular focus on the prompts where the brand appears but is not recommended.

Phase 2: Recommendation Readiness Plan Identify the specific query types where Spring Fertility's positive framing is not translating into top-three placement, and prioritize the prompt clusters with the largest gap between sentiment and recommendation position.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers the high-intent fertility treatment questions where Spring Fertility currently appears as a lower-ranked recommendation, with emphasis on egg freezing, IVF process, and treatment cost topics.

Phase 4: Citation / Authority Layer Development Strengthen the external citation sources that AI systems use when forming fertility clinic recommendations, ensuring Spring Fertility is represented in the public evidence layer that supports top-three placement.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Spring Fertility's recommendation coverage, top-three rate, and rank-one rate monthly to measure whether the brand's positive framing begins converting into stronger recommendation placement.

Why This Matters

AI-generated recommendations are becoming a primary input into fertility clinic selection. When prospective patients ask AI systems which clinics to consider, the brands named first and most often gain a structural advantage in the buyer journey. Spring Fertility currently earns favorable framing when it appears, but it does not appear prominently enough to convert that goodwill into top-of-list recommendation status.

The next move is not about improving how the brand is perceived. It is about correcting the prompt, page, and citation layers that determine whether Spring Fertility is named as a leading choice or as a secondary option. Presence alone is not enough; the brand needs to be present in the positions where buyer decisions are actually formed.

Core Metrics

Metric

Value

Mentions

32

Valid recommendations

21

Top 3 recommendation count

14

Rank #1 recommendation count

4

Average recommended rank

3.33

Positive mentions

21

Neutral mentions

10

Negative mentions

1

Raw mention presence rate

9.64%

Valid recommendation coverage

6.33%

Top 3 recommendation rate

4.22%

Rank #1 recommendation rate

1.20%

Net sentiment score

0.625

Strongest cluster by recommendation behavior

Best IVF Clinics & Top Fertility Centers

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

Questions This Section Answers

  • How is the net sentiment score calculated for Spring Fertility?
  • Why is classified sentiment needed instead of raw mention counts when assessing AI visibility?

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

For Spring Fertility, this calculation is (21 × 1 + 10 × 0 + 1 × -1) / 32, producing a net sentiment score of 0.625.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI responses but be discussed in neutral or cautionary terms that do not support recommendation. Share of voice is a diagnostic metric, not a business outcome. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and counting all mentions as wins produces a distorted view of AI visibility. Classified sentiment is required before interpreting whether AI presence is actually helping or merely registering.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

4

3

1

0

0.75

Positive, but sample too small

Copilot

6

6

0

0

1.00

Strongest public recommendation signal

Gemini

1

1

0

0

1.00

Positive, but sample too small

Google AI Mode

11

5

6

0

0.4545

Present as context, not recommendation

Google AI Overviews

9

6

2

1

0.5556

Present, but not recommendation-led

Perplexity

1

0

1

0

N/A

No public presence in this packet

Methodology

  1. This report is based on the LLM Authority Index AI Market Discovery Index Fertility Clinics benchmark for September 2026, supplemented by company-level metrics aggregation. It is benchmark-based analysis, not a client implementation case study.
  2. The reporting window is September 2026, with comparative reference to July and August 2026 where the public benchmark provides historical context.
  3. Six canonical AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google 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. Three public buyer-intent clusters were defined: Best IVF Clinics & Top Fertility Centers, IVF Clinic Comparisons & Alternatives, and IVF Clinic Pricing & Fertility Treatment Costs. All 332 qualified observations in September 2026 fell into the brand recommendation class.
  8. A mention is defined as any qualified observation where a brand appears, regardless of context or framing.
  9. A valid recommendation is defined as a qualified observation where a brand receives an explicit recommendation, distinct from a neutral reference, cautionary mention, or comparison-anchor appearance.
  10. The stage 0 extraction process captured prompt-level observations including query, surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  11. Limitations: the public benchmark does not measure market share, attributable sales, organic-search ranking performance, social media volume, or private channel performance. Small-count movements, such as Spring Fertility's single Perplexity mention, may not indicate durable patterns. Two months of movement should not yet be treated as a trend.
  12. Monetary benchmark metrics, including modeled AI Authority Value and captured recommendation value, are excluded from this report by design.

Get Your AI Visibility Audit

The public benchmark shows where Spring Fertility stands in AI-generated recommendations, but it does not reveal which specific prompts produce competitor recommendations instead of yours. A company-level AI visibility audit maps those prompt, platform, competitor, and citation patterns into a prioritized strategy for converting positive framing into stronger recommendation placement.

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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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