Healthcare SEO across countries

Healthcare SEO 11 September 2026·10 min read

Health content is the hardest category to rank in, and multi-market health content is the hardest version of that. Not because the SEO is different — because the constraints around it are. Here is what actually changes.

The short version

Most SEO advice assumes you can publish when you want, say what you want, and translate when you expand. In healthcare, all three assumptions fail. Medical review sits between the writer and publication. Claims that are fine in one market are prohibited in the next. And the words patients use are rarely the words clinicians use, in any language.

None of this makes health SEO mysterious. It makes it slower and more deliberate, which means the strategy has to be built around the constraint rather than colliding with it every month.

YMYL: what the higher bar actually means

Your Money or Your Life is Google's category for topics that can affect someone's health, finances or safety. Pages in it are held to a higher standard, and the practical consequence is specific: thin or unsourced content is discounted far more aggressively here than it would be elsewhere.

A mediocre page about camping equipment can rank on relevance and links. A mediocre page about a drug interaction generally will not, no matter how many links point at it. Competing in this category means competing on demonstrable expertise, and "demonstrable" is the operative word — it has to be visible on the page and readable by a machine.

Medical review is a scheduling constraint, not a checkbox

This is the thing that surprises marketers arriving from other industries. In a regulated health organisation, content does not go from writer to publish. It goes writer, medical review, sometimes regulatory review, sometimes legal, then publish. Each stage has a queue.

The failure mode is predictable: an SEO consultant delivers a twelve-month content calendar of four articles a month, the organisation manages one and a half, and by month four everyone has quietly stopped referring to the plan.

How to plan around it

Measure the actual review throughput before committing to a calendar — ask how many pieces cleared review in the last quarter, not how many were written. Then plan to eighty per cent of that number. Batch pieces that share a reviewer. Front-load the updates to existing high-traffic pages, which usually clear review faster than new content because the claims are already approved. A plan the organisation can actually execute beats an ambitious one it abandons.

A five-stage content pipeline: writer, medical review, regulatory, legal, publish. Medical review and regulatory are each labelled as a queue; legal is labelled as sometimes required. A note below reads: plan to 80 per cent of the pieces that actually cleared review last quarter.
Each queue is throughput, not a formality. Measure it before committing to a content calendar.

Claims do not survive a border

This is where translation as a strategy becomes actively dangerous rather than merely ineffective. Across markets:

  • Permitted claims differ. A benefit you may state in one country can be prohibited in another, and the rules for supplements, devices and medicines are each different again.
  • Approved indications differ. The same product may be approved for a narrower use in one market, which changes what the page is allowed to say it is for.
  • Product names differ, sometimes for the same compound — which quietly wrecks keyword research done in the source language.
  • Rules on naming products at all differ, particularly for prescription medicines advertised to the public.
  • Required disclaimers differ, in wording and in placement.

The consequence for SEO is that a localisation workflow for health content needs a local reviewer in the loop, not just a translator. That is a cost, and it should appear in the plan as one rather than being discovered in month three.

Patients and clinicians search differently — and so do languages

Two separate problems that get conflated.

First, register: patients search symptoms and plain language, clinicians search conditions and terminology. A single page rarely serves both well, and in most portfolios the consumer and professional audiences deserve separate sections with separate architecture.

Second, language: the gap between lay and clinical vocabulary is different in every language. The colloquial term for a symptom in Dutch may have no clean equivalent in Danish, and the clinical term may be the one ordinary people actually use in one market and not the other. This is exactly why translated keyword research fails in health more than anywhere else — you are translating a word that was chosen for the wrong register to begin with.

The fix is unglamorous: research each market natively, and decide the register per market rather than globally.

Making E-E-A-T machine-readable

Most health sites do some of this visually and none of it in a form a machine can parse. The full set:

  • A real, credentialled authorWith a persistent author page, Person schema, credentials, and sameAs links to professional profiles. Not "Editorial Team".
  • A named medical reviewer, separate from the writerWith the review date shown on the page and in markup.
  • MedicalWebPage schemaWith lastReviewed and reviewedBy populated.
  • Primary sources, linkedGuidelines, regulators, peer-reviewed literature. Not a link to another content site quoting them.
  • A visible review cadenceHealth content decays. A page last reviewed four years ago signals that whether or not you say so.
  • Organisational credentialsRegistrations, accreditations and affiliations, marked up rather than sitting in a footer image.

Do this per market. A German page reviewed by a clinician the German market recognises is a stronger signal than one inheriting the English reviewer's byline.

Why AI engines rarely cite health brands

Run a prompt set across ChatGPT, Perplexity and Google's AI Overviews for any consumer health question and the citation pattern is consistent: public health bodies, medical associations, established reference sites, peer-reviewed literature. Commercial health sites appear far less often than their rankings would predict.

That is a reasonable behaviour from the engines, and it means the route to being cited is different from the route to ranking. Two things move the needle:

  1. Be present in the sources they already trust. If the engines lean on a particular association's guidance for your topic, being referenced there is worth more than another page on your own domain. This is where health SEO and digital PR become the same project.
  2. Make individual passages quotable. A direct answer within the first hundred words, one claim per paragraph, sourced, with the reviewer and date adjacent. Engines quote passages, not pages.

Both are measurable. Running the prompt set and recording who gets cited is the first module of an AI visibility audit, and in health it usually produces a more actionable list than the ranking report does.

Where I would start

On a multi-market health portfolio, in this order:

  1. Measure real review throughput, and rebuild the calendar around it.
  2. Fix the author, reviewer and date signals across existing high-traffic pages. Cheap, templated, and it lifts the whole domain.
  3. Run a content parity check per market — health portfolios are almost always dramatically uneven.
  4. Redo keyword research natively for the two largest non-home markets, choosing register deliberately.
  5. Run the AI prompt set and build the target list from who gets cited instead of who ranks.

Questions

Your Money or Your Life — Google's term for topics affecting health, financial stability or safety. Pages in these categories are held to a higher quality standard, and thin or unsourced content is discounted far more aggressively than in low-stakes categories. In practice a health page competes on demonstrable expertise and sourcing, not just relevance and links.
Name a real author with credentials, on a persistent author page with Person schema and sameAs links. Name the medical reviewer separately from the writer and show the review date. Cite primary sources and link to them. Add MedicalWebPage schema with lastReviewed and reviewedBy. A visible byline machines cannot parse only does half the job.
No, and attempting it creates regulatory exposure as well as poor rankings. Permitted claims differ by market, approved indications and product names differ by country, and the terms patients search with are rarely direct translations of clinical terms. Health content must be localised against local guidelines, local approvals and local search behaviour — then reviewed locally.
Answer engines lean on sources they treat as authoritative for health — public health bodies, medical associations, reference sites, peer-reviewed literature — rather than commercial sites. The route to citation is being present in those sources, plus structuring your own pages so a specific passage is quotable: a direct answer near the top, sourced claims, and a clear reviewer and date.