China Restaurant YUNG — Worldwide Visibility in 39 Countries Worldwide Without Marketing Budget
A single-location Frankfurt restaurant is worldwide-visible for queries like „peking duck baltimore“, „beijing da dong menu price“, „dragon-i peking duck price“. How that happened organically — in four steps, three months, with verifiable GSC tables.
The Headline Result
A single-location Chinese restaurant in Frankfurt, run by one family, with no advertising budget for the FAQ pages — visible in 39 countries.
/en/hoisin-sauce/Wikipedia-Level Topic Authority
The most striking finding is not the count itself, it is which queries we rank for. Our Frankfurt page /faq-peking-duck/ is worldwide-visible for queries that have nothing to do with Frankfurt, nothing to do with Germany, and in several cases name a competing restaurant directly. Google has decided that our page is the canonical answer for „Peking Duck worldwide“.
peking duck baltimoreBaltimore, Maryland — we are not in Baltimorebest peking duck chinatown nycNew York — we are not in NYCpeking duck singapore priceSingapore — we are not in Singaporedragon-i peking duck priceHong Kong — Dragon-i is a Hong Kong restaurantbuddakan peking duckNYC — Buddakan is a NYC restaurantbeijing da dong menu priceBeijing — Da Dong is Beijing’s most famousimperial treasure super peking duck menu pdfSingapore — Imperial Treasure is a SG-based luxury chainsang kee wynnewood hoursPennsylvania — Sang Kee is a PA restaurantGoogle could rank Da Dong’s own website for beijing da dong menu price. It does not. It ranks our Frankfurt page first. The reason is not that we are bigger or richer than Da Dong — we are obviously neither. The reason is that our page is structurally complete, factually dense, schema-correct and consistently maintained. Google rewards that combination, and the reward at scale is topic authority.
Live GSC export: 39 countries with Pos-1 visibility — from home market Germany to Mauritius, Trinidad and Qatar
What We Did
Four steps. Today all automated in the ChinaYung software.
BLS Allergen Mapping
Every ingredient in our recipe database was matched against a Bundeslebensmittelschlüssel (BLS) reference entry. The result is a deterministic table: for each ingredient, the 14 EU allergen flags plus a nutrition profile. The matching ran semi-automatically with human review for edge cases such as regional Chinese ingredients without obvious BLS counterpart.
Schema.org FAQPage at Scale
Every dish-level allergen and cuisine question that a guest could realistically ask was modeled as a Q&A pair: „Is the Peking duck gluten free?“, „Are the dim sums made with wheat flour?“. The pairs are stored in our database, rendered as <details><summary> blocks on the page, and emitted as Schema.org FAQPage JSON-LD in the page head. Google reads the JSON-LD; humans read the HTML; the two stay in sync.
LLM-Optimized Content
Beyond Schema, we added a llms.txt endpoint and dedicated long-form FAQ pages — for example /faq-peking-duck/ and /en/hoisin-sauce/. The pages are not keyword-stuffed; they read like a thorough conversation with the kitchen. ChatGPT, Perplexity, Gemini and Claude cite them frequently.
Sitemap and IndexNow Automation
After each content change, the software regenerates the page sitemap, busts the sitemap cache and pushes a notification to Bing and Yandex via the IndexNow protocol. Average time from „edited a dish“ to „live in Google index“ is under 24 hours.
Top Data — Real Search Console Numbers
Source: Google Search Console, property chinayung.de · 3-month window · worldwide.
Table 1
Top Queries on Pos 1.0 (Gluten Cluster Excerpt)
| Query | Imp / 3M | Position |
|---|---|---|
| gluten free hoisin sauce | 11 | 1.0 |
| are peking duck pancakes gluten free | 9 | 1.0 |
| are dumplings gluten free | 4 | 1.0 |
| hoisin sauce gluten free | 4 | 1.0 |
| is crispy duck gluten free | 4 | 1.0 |
| duck and rice gluten free | 2 | 1.0 |
| gluten free pancakes for crispy duck | 2 | 1.0 |
| gyoza glutenfrei | 2 | 1.0 |
| are chinese duck pancakes gluten free | 1 | 1.0 |
| dim sum gluten free options | 1 | 1.0 |
| duck sauce gluten free | 1 | 1.0 |
| gluten free gujia | 1 | 1.0 |
| hoisin gluten free sauce | 1 | 1.0 |
| is ha gao gluten free | 1 | 1.0 |
| kikkoman hoisin sauce gluten free | 1 | 1.0 |
| peking duck gluten free | 39 | 1.59 |
This is just the gluten cluster. The full Pos-1 list across all topics (Peking Duck, hoisin sauce, dim sum, pancakes, dumplings) exceeds 300 queries.
GSC queries tab — filtered Pos-1 results in the gluten cluster
Table 2
Top Pages with Highest Authority
| Page (live on chinayung.de) | Total Queries | Top Query |
|---|---|---|
/faq-peking-duck/ (DE) | >115 on Pos 1.0 | peking duck gluten free |
/en/hoisin-sauce/ | 146 (~120 Pos 1.0) | hoisin milk |
/en/peking-duck-pancakes/ | 93 (~70 Pos 1.0) | chinese pancakes |
/en/faq-peking-duck/ | 229 imp gluten | peking duck baltimore |
/en/faq-dim-sums-2/ | 32 imp gluten | dim sum gluten |
/har-gao/ | 26 imp | ha gao gluten |
/en/faq-dim-sum/ | 7 imp | dim sum gluten free |
/faq-dim-sums/ (DE) | 3 imp | dim sum gluten free options |
GSC pages tab — 8 pages on Pos 1.0 as proof of topic-cluster depth
/en/peking-duck-pancakes/ page detail — 93 queries on a single page, all top queries at Pos 1.0
Table 3
Top 10 Countries Worldwide (Gluten Cluster Excerpt)
| Country | Impressions | CTR · Avg Pos |
|---|---|---|
| United States | 200 | 0.5 % · 3.67 |
| Australia | 44 | 2.27 % · 2.27 |
| United Kingdom | 44 | 0.0 % · 4.11 |
| Germany | 33 | 3.03 % · 4.7 |
| Canada | 23 | 0.0 % · 1.52 |
| New Zealand | 12 | 0.0 % · 2.83 |
| Hong Kong | 12 | 8.33 % · 3.25 |
| India | 7 | 0.0 % · 3.0 |
| Thailand | 7 | 0.0 % · 6.57 |
| Singapore | 6 | 0.0 % · 4.0 |
| China | 6 | 16.67 % · 2.5 |
The full list contains 39 countries: United States, Canada, Australia, UK, Germany, Spain, Norway, Ireland, Belgium, Switzerland, Denmark, Hong Kong, Singapore, Indonesia, Taiwan, Japan, Malaysia, Philippines, UAE, Qatar, South Africa, Morocco, Mauritius, Mexico, Peru, Trinidad and Tobago, and others.
Highest-Quality Hits
Click-through rate is the better honesty check than raw impressions.
Timeline
Three to four months from first BLS mapping to first Pos-1 rankings — mostly indexing latency, not effort.
BLS mapping for the full menu (~110 dishes, ~280 ingredients normalized), recipe inventory, EU-14 matrix as master dataset
Schema.org FAQPage rollout on all relevant URLs, mu-plugin written, IndexNow integration live, first sitemap push
GSC export confirms 300+ Pos-1 queries worldwide, visibility in 39 countries, re-audit cadence every 2 weeks
What surprised me was not the German rankings — Frankfurt is a defined market, a real restaurant with a thorough page wins eventually. What surprised me was Baltimore, NYC and Beijing. When Google started ranking our Frankfurt page Pos 1 for „beijing da dong menu price“, I understood we had crossed into a different category of authority. The pipeline does not need to be in your city to win in your city, as long as the substance is there.
Live Proof — Verify It Yourself
Open an incognito browser session and search the queries below on Google. The URL shown should appear at or near position 1. Note: Google personalizes search results slightly by location and history. An incognito session without active Google login gives the cleanest neutral picture.
30 Minutes Walk-Through — No Sales Hand-Off
If your menu is maintainable and you are willing to enter your allergen data correctly once, the ChinaYung allergen pipeline handles the rest. A 30-minute call is enough to assess whether your operation is a good fit and what timeline is realistic. I do the demo myself.
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