Amber Health AEO Assessment Report
by Novastacks AI

Amber Health’s performance metrics are competitive — FCP of 0.5s and LCP of 1.8s outperform OT&P (FCP 1.0s, LCP 1.2s) and far exceed Zenith (FCP 3.9s, LCP 7.9s). CLS at 0.055 is well within Google’s 0.1 threshold. However, Lighthouse flags two critical crawlability issues: non-crawlable anchor elements and non-descriptive link text. These prevent search engines from efficiently discovering and following internal navigation paths. The site also has only 1 internal link per page on most service pages — compared to OT&P’s 28 internal links on its gynaecology page.

Schema implementation varies widely across page types. The homepage has Organization + WebSite + Article + SearchAction — a reasonable foundation. Two service pages (breast augmentation, IVF) include FAQPage schema. But the prenatal check-ups page — the only page ranking in Google’s top 10 for a core keyword — has zero JSON-LD markup of any kind. The blog index has CollectionPage but no Article schema on individual posts. No pages use BreadcrumbList (Zenith does). No MedicalOrganization or Physician schema is present despite being a medical practice.

The homepage has no H1 tag, which is the primary signal to crawlers about the page’s topic. The blog index uses “Archives” as its H1 — a generic CMS default that provides zero topical relevance. Internal linking is critically thin: most pages have only 1 internal link (to the homepage navigation), while OT&P’s service pages interlink to 28 related pages. This isolation means search engines and AI crawlers cannot discover the site’s depth. The site’s total file sizes are reasonable (120-254KB), and HTTP/3 + Cloudflare CDN ensure fast delivery — but content that can’t be discovered through links can’t be ranked.

We tested 6 category queries across obstetrics, gynaecology, IVF, and prenatal care in both English and Traditional Chinese. Amber Health appears in organic results for only 1 query: “prenatal check up Hong Kong” at position #9. For the remaining 5 queries — including the highest-intent terms “gynaecologist Hong Kong” and “IVF treatment Hong Kong” — the clinic is entirely absent from the top 20.

OT&P appears in 3 of 6 queries, including the #2 position for “gynaecologist Hong Kong” and #6 for “IVF treatment Hong Kong.” Zenith appears in 2 of 6, including #10 for “prenatal check up Hong Kong” and ranking for “t21” at position #2. Amber Health’s services span all these categories, but the search footprint does not reflect it.

AI platforms rely heavily on third-party sources to validate and recommend providers. Amber Health has no detectable presence on Hong Kong parenting forums (Baby Kingdom), no editorial coverage in local media (SCMP, HK01, SassyMama), and no YouTube channel. The clinic has just 6 Google reviews and 270 Instagram followers.

This absence has a direct, measurable impact on AI recommendations. When ChatGPT recommends prenatal services, it cites OT&P using data from SassyMama, Alea, and OT&P’s own content hub. When it discusses IVF, it references dedicated fertility centre websites with deep content libraries. Amber Health’s only third-party citations come from FindDoc (a medical directory), the Canadian Chamber of Commerce, and HKTDC — none of which are sources AI associates with clinical expertise or patient trust.

Amber Health’s prenatal check-ups page ranks #9 for “prenatal check up Hong Kong” — the only core keyword where the clinic competes with established players. This page, despite having zero schema markup, demonstrates that well-structured, informative content can compete even without technical optimization. The page has a clear H1, organized H2 sections covering screening items by trimester, and FAQ content.

This suggests the site’s technical foundation (WordPress SSR, Cloudflare, Rank Math) is capable of supporting rankings when backed by quality content. The prenatal page is proof of concept — the approach needs to be replicated across gynaecology, IVF, and other service categories with proper schema markup and internal linking.

Amber Health supports English, Traditional Chinese, and Simplified Chinese via Polylang — a trilingual setup that matches or exceeds both competitors. However, we tested 2 Traditional Chinese category queries and Amber Health appeared in neither. The Cantonese-language OB/GYN and IVF markets are dominated by directories (goodoctor.com.hk, finddoc.com) and insurance comparison sites (bowtie.com.hk, fwd.com.hk) rather than individual clinics. A Chinese-language content strategy targeting these forums and directories could capture a market segment that both OT&P and Zenith also struggle to reach directly.