# What China's AI tells patients choosing a U.S. fertility clinic

> Ask in Chinese which U.S. IVF clinic is best and you get a verdict rather than options. The same two clinics come up every time, the price is marked up to the agency's package, and at the moment of decision, no clinic is named at all.

Site: https://www.eastbound.ai/insights/china-ai-us-fertility-clinics/
Panel: 9 prompts × 3 engines (DeepSeek, Qwen, Doubao) × 3 reps × 2 runs · 162 answers

A quiet shift is changing how Chinese patients choose care, and U.S. fertility clinics should be paying attention. In China, **79% of consumers now trust AI, nearly double the U.S. figure of 42%**, and **65% say they would use AI to decide *where* to seek care** (ZS Associates, 2025). With more than **500 million generative-AI users**, and well over 160 million health questions already fielded on a single Chinese AI assistant, the app has quietly become the first place a patient turns. For a clinic serving affluent Chinese patients, the AI's answer is now the first consultation. The clinics that understand how it behaves will ride this wave, while the rest drop out of the conversation.

So we ran it. We put the nine questions Chinese fertility patients actually ask to China's three leading assistants, DeepSeek, Qwen and Doubao. The questions were pulled from Baidu autocomplete and ranked by volume. We asked each one three times across two runs, and measured what the AI does with the question.

**The finding in one line:** China's AI hands IVF patients a frozen two-name shortlist of CCRM and HRC. It quotes the agency's package price, up to three times the clinic's own fee. And at the questions that decide the purchase, such as cost, eligibility, gender and logistics, it names no clinic at all.

## Two names, named again and again

Asked which U.S. clinic is best, the same two names surfaced across all three engines and both runs: **CCRM** and **HRC**. Of the "best clinic" answers (81 in total), CCRM appeared in about 31%, HRC in 26%, RMA in 15%, and most independent clinics in roughly none. The consideration set is decided before the patient does any research, and it is tiny. For clinics that are not CCRM or HRC, the answer to "who is best" is silence.

## The price you're quoted is the middleman's

Ask what U.S. IVF costs and the three engines disagree by roughly three times. Two of the three quote the agency's all-inclusive package rather than the clinic's fee.

| Engine | "Cost of U.S. IVF" | What that figure really is |
|---|---|---|
| DeepSeek | $12,000–$20,000 / cycle | The clinic's actual medical fee (correct) |
| Qwen | ¥320,000–¥400,000 (~$45k–$56k) | The agency's all-inclusive package |
| Doubao | ¥250,000–¥350,000 (~$35k–$50k) | Package-level, not the clinic's fee |

The engines also default to the most expensive version, third-generation IVF with genetic screening, as if it were standard. That is the option capable of gender selection. Before the patient speaks to anyone, the machine has already set their price anchor, their assumed scope of treatment, and their belief that they will need an agency.

## At the moment of decision, the clinic disappears

As the patient moves from "who is good" to the questions that decide a purchase, such as cost, eligibility as a single woman, gender selection and the process itself, the AI stops naming clinics and switches from recommending to instructing. On cost, eligibility, gender selection and logistics, not one specific clinic was named in our results. The provider vanishes exactly where the decision is made.

## What the AI leans on

- **Invokes the U.S. CDC and SART registry** in more than half its answers, yet shows no live source the patient can open.
- **Repeats agency "rankings" and package pricing** as if they were neutral fact. The Chinese-language web about U.S. fertility care was written largely by agencies, not the clinics, and that is the corpus these models learned from.
- **Quotes the agency's package rather than the clinic's fee**, relaying the middleman's economics as if they were the clinic's own.

## How the journey filters you out

Each question a patient asks narrows the funnel. By the time they reach the decision, the provider has dropped out.

- **1 · Awareness — "Which U.S. IVF clinic is best?"** The AI names only CCRM and HRC. *Nearly every other clinic is filtered out at the door.*
- **2 · Consideration — "How much, and what is involved?"** The AI quotes the agency's package, about three times the clinic's own fee. *A middleman is inserted, and your real price is misrepresented.*
- **3 · Decision — eligibility, gender selection, cost, logistics.** The AI names no clinic at all, and switches to giving instructions. *The provider disappears exactly when the decision is made.*

**Outcome:** the patient reaches two clinics and an agency. If you are not one of those two, the AI never sends them to you.

## What a U.S. clinic can do

1. **See your starting point.** Audit how DeepSeek, Qwen and Doubao describe your clinic now, whether named, misquoted, or invisible.
2. **Fix your entity basics.** A clean, well-sourced Baidu Baike and Wikipedia or Wikidata entry is the strongest single predictor of being surfaced.
3. **Get into the cited corpus.** Authoritative Chinese-language content such as Zhihu and reputable health media, rather than your English homepage, which the AI does not read.
4. **Correct any wrong facts.** If the AI repeats a wrong location or an invented statistic about you, it lives in the sources the model reads, and that is where it is fixed.
5. **Monitor the real prompts.** Track the cost, eligibility and gender-selection questions patients actually ask, across all three engines.

*Methodology: 162 answers. Nine prompts from top Baidu-autocomplete queries for U.S. IVF, three repetitions each, across two independent runs, on DeepSeek, Qwen and Doubao. Only patterns stable across both runs are reported. Brand and cost figures are taken from model outputs, and the fabricated success-rate example is left unnamed deliberately.*

## See what China's AI says about your clinic

- Free multi-engine audit: https://www.eastbound.ai/ai-visibility-audit/
- Related: [U.S. cancer hospitals in Chinese AI](https://www.eastbound.ai/insights/china-ai-us-cancer-hospitals/) · [Why Chinese AI cites Zhihu](https://www.eastbound.ai/insights/zhihu-ai-visibility/) · [Wikipedia & AI visibility](https://www.eastbound.ai/insights/wikipedia-ai-visibility/)