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Fertility clinic marketing is how a fertility or IVF clinic gets found and chosen by people trying to build a family, and much of their early research now happens privately, in AI answers from ChatGPT, Google AI Overviews, Gemini and Perplexity. Curve Compliance helps fertility clinics see how they show up in those answers and what to improve. AI Visibility is a feature in Curve Compliance, and Curve also offers it as a managed service. Curve AEO is the managed service: Curve's team handles your AEO strategy, content creation and optimization, with a dashboard that shows how your clinic appears in AI answers and tracks progress over time.

Want to see which clinics AI names when someone near you asks where to start with fertility care? Book a call to see AI Visibility on your own questions, or to talk about the managed service.

Fertility research starts privately

Among adults who used AI for health information in the past year, KFF found that 41% cited as a major reason that they wanted "to look up information before deciding whether to see a provider," and 36% that they "felt more comfortable looking up health-related topics privately" (KFF, March 2026). Pew Research Center found that 18% of U.S. adults use AI chatbots to get health information they're uncomfortable talking about (Pew Research Center). An AI assistant can be the first place a patient types the word "IVF."

The audience is large and broad. CDC says that "In the United States, 1 in 5 (19%) of married women aged 15 to 49 with no prior births are unable to get pregnant after 1 year of trying" (CDC). In a Pew Research Center survey, about four in ten adults (42%) said they had used fertility treatments or personally knew someone who had, up from 33% five years earlier (Pew Research Center). Your patients include couples, single people, LGBTQ+ families, people preserving fertility for later and men seeking testing. Each group asks different questions.

AI is now part of how patients choose: 47% of patients in rater8's 2026 survey had used an AI tool to research healthcare providers, up from 31% in 2025 (rater8). See how patients use AI to research providers.

What people ask AI about fertility care

Kind of questionExample questionWhat the answer needs from your site
First stepswhen should I see a fertility specialistA clinician-approved page on when and how to start, and how to book a first consult
Choosing a clinicbest IVF clinic near [city]One page per office with the physicians, services and how to reach you
ResultsIVF success rates at [clinic]A plain explanation of your reported data, linked to where it is published
Preservationegg freezing clinics near meWhat fertility preservation involves at your clinic and who it is for
Family buildingfertility clinics near me that work with same-sex couplesClear, welcoming language about who you care for, including donor and gestational carrier programs if offered
Male fertilitywhere can I get a semen analysis near [city]Whether you offer male fertility testing, where and how to book
Coveragedoes [insurance plan] cover fertility treatment at [clinic]The plans you work with and who on your team helps patients check benefits
What to expectwhat happens at a first fertility consultationA step-by-step page on the first visit, in your physicians' words

CDC's own guidance is a good model for the first question: "Individuals and couples who are unable to conceive a child should consider making an appointment with a reproductive endocrinologist" (CDC). A page that explains, in your physicians' words, when to come in and what happens next is the page AI can cite when someone asks.

Success rates: the public facts AI can check

Fertility care has a federal reporting system for clinic-level outcomes. CDC says it "collects data from assisted reproductive technology (ART) clinics in the United States through the National ART Surveillance System (NASS) and calculates standardized success rates for each reporting clinic." A federal law, the Fertility Clinic Success Rate and Certification Act, "mandates that clinics performing ART annually provide data to CDC," and "CDC publishes these clinic-specific success rates." CDC and the Society for Assisted Reproductive Technology (SART) also "maintain a list of all ART clinics known to be in operation" (CDC).

The scale is national. CDC publishes clinic-level data at the end of the third year, counting the year the cycles start as the first (CDC). In its latest reporting year, 457 U.S. clinics reported 435,426 ART cycles, and the resulting infants "represented about 2.6% of all infants born in the U.S."; 184,423 of those cycles were egg or embryo banking cycles in which all eggs or embryos were frozen for future use (CDC).

That matters for AI search. When someone asks an assistant about a clinic's results, the answer may draw on those public reports, on third-party summaries of them, or on your own site. Make sure what your site says matches what you report, link to where your data is published, and explain in plain language what the figures measure and what they do not. Your medical team should approve every word about outcomes.

Where AI gets fertility answers, and why accuracy matters

Fertility questions are prime territory for AI Overviews. WebFX lists fertility and pregnancy searches among the query types it rates high risk of being answered by an AI Overview (WebFX). An audit of 1,508 baby care and pregnancy searches found that AI Overviews "critically lack medical safeguards (present in just 11% of AIO and 7% of FS responses)" (Hu et al., ICWSM 2026). OpenAI itself warns that "Search results and citations can be incomplete, outdated, or incorrect" (OpenAI).

Practice facts go wrong too: 66% of the patients in rater8's survey who had used AI to research providers had seen incorrect provider information from an AI tool, such as wrong addresses, phone numbers, insurance details or office hours (rater8). A physician who has moved on, an office that closed or a program you no longer run can live on in an answer. See what to do when AI is wrong about your practice.

The best defense is clear, expert pages. Google's advice for AI search is to "Focus on developing unique, expert-led content that provides value beyond common knowledge" (Google Search Central). For a fertility clinic, that means your physicians and nurses explaining your approach, your process and your programs in their own words, with medical review on every page, and language that respects every patient who reads it.

Privacy belongs in your AEO plan

Patients are worried about privacy and share anyway. KFF found that 77% of the public is concerned about the privacy of personal medical information provided to AI tools, yet 41% of people who used AI for health (13% of all adults) have uploaded personal medical information into one (KFF). Reproductive health data is some of the most sensitive data a clinic holds, so treat the patient's path from an AI answer to your site with the same care as your clinic records.

Two practical rules. First, publish answers that let a patient learn privately, without forms, before they reach out. Second, keep treatment interest out of ad platform data when they do. For the tracking side, see Curve for fertility and IVF clinics and the fertility marketing data protection guide.

An AEO checklist for fertility clinics

  1. One page per program. IVF, IUI, fertility preservation, donor programs, gestational carrier programs and male fertility, as you offer them, each with who it is for and how to book a consult.
  2. Physician and team bios. Board certification, training, languages, offices and the programs each physician leads, in text.
  3. A first-steps page. When to come in, what the first consult involves and what to bring, approved by your physicians.
  4. Your reported data, explained. Link to where your outcomes are published and explain them in plain language, with medical and compliance review.
  5. Welcoming, specific language. Say plainly who you care for: couples, single parents by choice, LGBTQ+ families and people preserving fertility.
  6. Coverage facts. The plans you work with and how your team helps patients check benefits, kept current.
  7. Office facts, everywhere the same. Addresses, hours, phone numbers and physicians per office, matched across your site and every listing.
  8. Real reviews, answered with care. Ask patients who are glad to share, and never confirm anyone is a patient in a reply.

For more on specific programs, see egg freezing marketing, male fertility marketing and IVF patient journey tracking. For the wider picture, see where AI gets healthcare answers.

How Curve Compliance helps

AI Visibility is a feature in Curve Compliance, and Curve also offers it as a managed service. In Curve, the feature is called AI Visibility (AEO), and the managed service is Curve AEO. Introducing Curve AEO: a service that helps you understand how your brand appears in AI search, with a team that handles the strategy and execution for you.

What You Get with Curve AEO:

  • AI Visibility Tracking. See how often your brand appears in AI-generated answers.
  • Optimize Your Site for AI. We make technical improvements that help AI assistants find, read, and understand your content.
  • Competitive Insights. Understand who's getting recommended instead of you.
  • Content Roadmap. Identify gaps and prioritize opportunities to improve performance.

With the managed service, Curve's team sets up your questions, competitors and topics, writes the pages on your roadmap, and makes the technical fixes that help AI assistants read your site. Your clinicians review and approve anything medical before it goes live. If your developer manages your site, Curve's team hands them the exact fixes. Curve's team turns those insights into action: building your strategy, creating and optimizing content, and tracking progress.

AI Visibility is built for healthcare: only the marketing question you track is sent to AI assistants, screened for PHI first, and never anything about a patient. Curve is SOC 2 Type II and signs a BAA on every plan. See HIPAA-compliant AI visibility tracking.

In one AI Visibility program we've run, for a HIPAA-focused healthcare software brand, AI assistants named or cited the brand in more than half of their answers to its 40 core buyer questions about five weeks in. Across 184 buyer questions, its site was cited in more AI answers than any competitor's, more than 2.5 times as many as the nearest one.

AI Visibility catches what AI gets wrong about your practice, so you can correct it on the pages AI reads. It ties AI answers to the visits and bookings they bring you. Each month, Curve's team walks you through your results on a call and sends a one-page report.

Built for healthcare marketers, Curve connects the entire patient funnel in one platform: paid ads, web analytics, and now AI search. Read more about Curve AEO and AI Visibility.

Sources (checked November 6, 2026): CDC, National ART Surveillance System; CDC, ART Surveillance (2022 data); CDC, Infertility: Frequently Asked Questions; Pew Research Center, A growing share of Americans say they have had fertility treatments or know someone who has (September 14, 2023); KFF Tracking Poll on Health Information and Trust: Use of AI for Health Information and Advice (March 25, 2026); Pew Research Center, From Diagnoses to Treatments, Why Americans Use AI Chatbots for Health (August 25, 2026); rater8, 2026 Patient Choice Report (June 3, 2026); WebFX, AI Overviews in Healthcare: A Study of 130K+ Health Queries (September 16, 2025); Hu et al., Auditing Google's AI Overviews and Featured Snippets: A Case Study on Baby Care and Pregnancy (ICWSM 2026); OpenAI Help Center, Searching the web with ChatGPT; Google Search Central, Optimizing for generative AI search.

Frequently Asked Questions

It is the work of making sure AI assistants such as ChatGPT, Google AI Overviews, Gemini and Perplexity can find, read and accurately describe your clinic when people ask where to start with fertility care. It covers your program pages, physician bios, reported data, listings and the private questions patients ask first.

Do patients use AI to research fertility clinics?

Many patients use AI to research providers: in rater8's 2026 survey, 47% had done so (rater8). Privacy is part of the draw: among adults who used AI for health in the past year, 36% said feeling more comfortable looking up health topics privately was a major reason (KFF).

Can AI answers use our clinic's success rates?

They can draw on whatever is public. CDC publishes clinic-specific success rates from the clinics that report to it (CDC), so make sure your site matches your reported data and explains it clearly.

In your physicians' own words, with sources, organized by program and office, and reviewed by your medical team. Use clear, welcoming language about every kind of family you care for.

What if AI gives wrong information about our clinic?

Correct the fact on your own site first, in plain text, then fix every listing that repeats the old version.

Does checking AI answers involve patient data?

No. AI Visibility is built for healthcare: only the marketing question you track is sent to AI assistants, screened for PHI first, and never anything about a patient. Curve is SOC 2 Type II and signs a BAA on every plan.

What does Curve AEO do for a fertility clinic?

Curve's team sets up your questions, competitors and topics, writes the pages on your roadmap, and makes the technical fixes that help AI assistants read your site. Your physicians review and approve anything medical before it goes live. See Curve AEO.

Talk to Curve Compliance

See which clinics AI names for the questions your patients ask, and what to publish so it describes yours accurately and respectfully. Book a call to see AI Visibility on your own questions, or to talk about the managed service.