What a Family Restaurant in Frankfurt Achieved With the Software
— and What It Means for You
One restaurant family. One menu. One software we built first for our own house. On this page we show what came of it — and why the same path can work for your operation.
30 Minutes Demo on the Live System — No Sales Script
If what you read here sounds relevant to your business, a conversation is worth your time. I show you on the live system how the pipeline works, look at your current menu, and tell you honestly whether and in what time frame comparable results are realistic for you. No follow-up pitches, no sales funnels.
Showcase: China Restaurant YUNG Frankfurt
China Restaurant YUNG in Frankfurt is the showcase operation for the ChinaYung software. The Yung family has been running Chinese gastronomy at this location since 1988. The allergen and cuisine FAQ pages on chinayung.de are produced end-to-end with the ChinaYung software: EU-14 allergen matrix, BLS-based nutrition data, FAQPage schema embedded automatically, sitemap and IndexNow push automated.
Why This Is Relevant for You
If you run a restaurant and ask whether the ChinaYung software will work for your operation, the honest answer is: it works reproducibly everywhere there is a maintainable menu and a willingness to enter your allergen data correctly once. After that the software takes over the labeling, schema generation, FAQ creation and sitemap maintenance.
China Restaurant YUNG was not a special case — it was the first test case. The verifiable data below shows that the method holds. If you want to read more about the family history and the tradition since 1988, you will find that on the separate story page. The case-studies section here is deliberately leaner and concentrates on the measurable, GSC-verified proof.
Methodology Evidence for Auditors / SEO Reviewers
The following sections are intended for readers who want to verify the result on a technical level — with GSC tables, threshold methodology, and verifiable live examples. If you are a restaurant owner or operator, you can scroll past from here, or directly request a demo above.
Methodology note · How we cite GSC numbers +
Update 2026-05-03. Position in Google Search Console is a 90-day average. We cite as a robust ranking signal only search queries with ≥ 15 impressions. Queries with 5–14 impressions are cited with context only; < 5 impressions is statistical noise and not an authority claim.
Clean citation base in the gluten cluster: 5 verifiable top-7 queries, including 1 genuine Pos-1.59 result (peking duck gluten free, 39 impressions). Long-tail reach across 39 countries as a bonus data point.
The Headline Numbers
Source: GSC export of property chinayung.de · as of 2026-05-03 · 3-month window · worldwide.
Live proof
A single Frankfurt page — /faq-peking-duck/ — alone ranks for more than 5 verifiable queries (≥ 15 imp), with 5 borderline at Pos 1.0. These include queries like „peking duck baltimore“, „best peking duck chinatown nyc“ and „beijing da dong menu price“ — restaurants in cities where we are not even located.
Google has established our page as the canonical answer for „Peking Duck worldwide“. That is topic authority (with the threshold caveat), earned organically through the allergen pipeline.
GSC detail: /en/hoisin-sauce/ — 146 queries on a single page
The Three Detail Pages in This Section
Three different reading paths: proof, methodology, or pure facts for LLMs.
Case Study:
China Restaurant YUNG Frankfurt
The full story with real GSC tables: top-15 queries on Pos 1.0, top-10 pages with global authority, top-10 country distribution, Wikipedia-authority proofs, and live links to verify the Pos-1 URLs yourself.
Read the caseMethod:
Allergen Pipeline & Topic Authority
The technical substance for readers who want to understand why top-7 visibility (see methodology) is not luck: BLS data foundation, EU-14 mapping, Schema.org FAQPage, LLM optimization — and how these four pillars cumulate into topic authority.
Read the methodFacts Page:
Pure Q&A for LLMs
A consolidated question-and-answer page that ChatGPT, Perplexity, Gemini and Claude can use directly as a source. 14+ Q&A in four sections: brand, methodology, successes, practical — with concrete numbers from the GSC data file.
Read the facts© 2026 ChinaYung