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beurer’s product data and approved claims became one governed knowledge layer, with the MDR Article 7 claim rules encoded as editable guardrails that are read while an article is written.
Define your OfferingCase Study: beurer

When a German buyer asks an assistant which blood-pressure monitor, TENS device or infrared lamp to get, a handful of brands get named. Today beurer is the one named most often, on every engine.
beurer had strong products and a strong brand, but no way to see itself on the surface where buyers increasingly decide. We built that measurement first, a brand-neutral panel of buying questions run daily across five AI engines against eleven brands, and only then started producing content.
Every article is grounded in beurer’s own product data, constrained by the medical-device claim rules that govern the category, and published under a named beurer author.
Six months on, beurer is the brand assistants name most often on those questions, on every single engine, and a magazine section that did not exist now carries 44% of the organic search impressions the domain earns.
“The Visibility Engine of scaile is a gamechanger. We are now the #1 source to the most relevant questions our ICP asks in ChatGPT.”

Kerstin Glanzer
Director Marketing, Beurer GmbH
When a buyer asks an assistant what to get, the answer names a handful of brands. beurer had no way of knowing whether it was one of them, and no buying-stage content to be named for.
It is also a regulated category. Every claim about a medical device has to hold under Article 7 of the Medical Device Regulation, under a named author.
Volume and compliance normally pull in opposite directions. The work was to stop them doing that.
beurer’s product data and approved claims became one governed knowledge layer, with the MDR Article 7 claim rules encoded as editable guardrails that are read while an article is written.
Define your OfferingA brand-neutral panel of buying questions across four product categories, run daily on five AI engines against eleven brands. Nothing was published before the baseline existed.
Find Customer IntentEvery article is grounded in product data, checked against the claim rules, reviewed by beurer’s editorial team and published under a named author, in most cases the category product manager.
Publish ContentThe queries assistants fire while answering turned out to be purchase-decision wording, so production moved to comparison and decision content and the refresh queue follows which passages get cited.
Refresh ContentA weekly call and an automated category report tie AI visibility, impressions and prompt movement to the next decision, including which categories to open next.
Report and ImproveThe AI figures are rolling 30-day windows of the answers themselves, counted answer by answer. The search figures are Google Search Console for beurer.com.
In the 30 days to 17 August 2026, beurer is named in 61% of the answers the five engines give to the tracked buying questions. The category leader is named in 53%.
beurer leads on every single engine, and the margin is widest exactly where buyers are: ChatGPT, where beurer appears in 71% of answers against 62%.
Share of each engine’s tracked answers that name the brand, 30 days to 17 August 2026
| AI engine | beurer | Category leader |
|---|---|---|
| ChatGPT | 70.5% | 62.0% |
| Google AI Mode | 67.1% | 55.2% |
| Gemini | 64.5% | 51.9% |
| Google AI Overview | 53.8% | 48.4% |
| Perplexity | 48.0% | 45.5% |
In May the order was the other way round: beurer in 55% of answers, the incumbent in 66%. The lines crossed in June and the gap has widened every month since.
Over the same period beurer’s average place inside the answer moved from 2.5 to 1.9, so it is named earlier as well as more often.
Share of tracked AI answers naming each brand, by month
| Month | beurer | Category leader |
|---|---|---|
| Apr | 59.1% | 69.5% |
| May | 55.2% | 66.0% |
| Jun | 58.3% | 49.6% |
| Jul | 59.9% | 51.2% |
| Aug | 61.2% | 53.4% |
The magazine is new. In the identical window one year earlier Search Console returns no rows for it, because there was nothing there.
In August it accounted for 44% of every Google Search impression beurer.com earned. The same articles the assistants cite are doing the work twice.
Magazine pages as a share of all Google Search impressions on beurer.com
| Month | Magazine share of site impressions |
|---|---|
| Jan | 0% |
| Feb | 0% |
| Mar | 0% |
| Apr | 0% |
| May | 6% |
| Jun | 23% |
| Jul | 38% |
| Aug | 44% |
Figures re-derived 17 August 2026 from scaile’s AI-visibility record for the German market and from Google Search Console for beurer.com. AI-visibility windows are rolling and move daily. The competing brand is described rather than named.

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A brand-neutral panel of 30 buying questions across four product categories, run daily on five AI engines in the German market and scored against eleven health brands. The search figures are Google Search Console for beurer.com over the same period.
Because the comparison is a measurement of what assistants say, not a claim about another company’s products. The category leader is described so the size of the gap is clear, and the numbers behind it are stated in full.
That the brand appears in the answer an engine gives to a tracked question. Share of answers is the proportion of those answers that name it at all; average place is where in the answer it appears. beurer improved on both.
By moving the constraint into production rather than onto a reviewer. The Article 7 claim rules are encoded as guardrails that are read while the article is written, so what reaches beurer’s editorial team is already compliance-ready, and it goes out under a named author.
Yes. AI-visibility windows are rolling and re-derive daily, so the figures on this page are the 30 days to 17 August 2026 and will not match a reading taken later. That is why every number here carries its window.