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The "good sewing skills" problem: patients now choose you on criteria your website never mentions

The short answer

When we chose our own obstetrician, we didn't Google "best OB-GYN in Singapore." We asked ChatGPT for a female obstetrician known for neat stitching — good suturing, clean recovery. It named a few, and that's how we decided. Not one of those clinics mentions "good at stitching" anywhere on its website. That is the shift in one sentence: AI lets customers choose you on specific, human criteria your marketing never captured — and if those strengths aren't discussed where AI reads, you're invisible for the very thing that wins the customer.

How we actually chose our doctor

Picking an obstetrician is a deeply personal decision, and ours came down to something you will never find in a brochure. Beyond safety and bedside manner, my partner cared about a very specific thing: how well the doctor stitches — the quality of the repair after delivery, which affects healing, comfort and scarring. Among mothers it is a real, openly discussed criterion. It is also one almost no clinic advertises.

So we didn't open Google and scroll a list of "top OB-GYNs." We asked ChatGPT, in plain words, for a female obstetrician in Singapore with a reputation for good suturing. It came back with a short list and a few sentences on why — drawn from how patients describe their experiences online. We shortlisted from that, and chose. Google never entered the process.

Why Google couldn't answer that — but AI could

Traditional search needs a keyword match on a page. There is no page titled "obstetricians who stitch neatly," and no clinic optimises for that phrase — so Google has nothing clean to rank. The information exists, but it is scattered across human conversation: a sentence in a forum thread, a line in a review, a remark in a parenting group.

AI does the thing Google can't: it reads those scattered signals and synthesises an answer. Ask it a specific, human question and it assembles a recommendation from a hundred fragments no single web page ever contained. That is why people increasingly bring AI their real criteria — the messy, specific, honest ones — instead of the keyword they think a search engine wants.

Every business has a "sewing skills" criterion

This isn't a healthcare quirk. Customers choose on hyper-specific, word-of-mouth attributes in every field — and they're now asking AI for exactly those:

None of these are the phrases you put on your homepage. They are the phrases that actually decide the sale — and they now live in the AI answer, or they don't.

The uncomfortable part: you're judged on what you don't control

You can't simply write "we have excellent sewing skills" across your website and expect to win the query. You shouldn't — it would read as hollow, and AI discounts self-praise precisely because it's easy to fake. The criteria that move customers are established by what other people say about you: reviews, forum answers, articles, testimonials. That feels uncomfortable, because it's outside your direct control. But it's also the opportunity — because most of your competitors aren't managing it at all.

What to actually do about it

You can't fake the reputation, but you can absolutely help the right signals exist where AI reads them:

  1. Find your real "sewing skills." Read your reviews and listen to what clients praise you for in their own words. The recurring specific phrases — not your tagline — are what customers ask AI about.
  2. Get those specifics discussed where AI looks. Encourage reviews that mention the actual strength ("she was so gentle," "the scar healed beautifully"); answer real questions in forums and Q&A; publish honest, plain-language content that addresses the specific concern head-on.
  3. Make your business a consistent entity. Same name, details and description everywhere, so when those mentions accumulate, AI confidently attributes them to you — not a competitor with a similar name.

This is the same playbook behind our research on AI and Singapore healthcare — when we measured it, a handful of clinics captured most AI recommendations while strong providers stayed invisible. You can see the full study, The State of AI Visibility in Singapore Fertility Care 2026, and the step-by-step method in how to get your business cited by AI in Singapore.

What does AI say about you?

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Frequently asked questions

Can't I just add these phrases to my own website?
Only partly. Publish honest, specific content about what you do well — but AI weighs what third parties say about you (reviews, forums, articles) more heavily than your own copy, precisely because it's harder to game. "We have excellent suturing skills" on your own site carries far less weight than a dozen patients saying it in their own words elsewhere.
Isn't this just about getting more reviews?
Reviews are a big part, but not all. AI also reads forum threads, Q&A pages, news and directory mentions, and your own structured content. What matters is that the specific strengths customers search for are discussed, in natural language, across the places AI reads — and that your business is a consistent, recognisable entity so the model attributes them to you.
How do I find out what customers ask AI about my field?
Ask the AI engines the questions your customers would, phrased the way they'd phrase them, and see who gets named. That's exactly what a 5-prompt AI visibility check does — it shows where you appear, where you don't, and on which real-world criteria.