⏰ The short version
- Same method, bigger sample: 284 Korean DTC brands, 50 questions each.
- 65.5% (186 brands) scored zero. Average: 0.65 out of 50.
- Beauty was worst at 86% zero — despite being the category that publishes the most content.
- Food scored best at 51% zero, and the reason is instructive.
- Two markets, two languages, one pattern: brand pages describe the brand; AI is looking for answers.
Why look at a second market
We started with 20 US indie brands and found 90% at zero. Small sample, so the obvious move was to test something bigger. Korea gave us 284 brands with completed diagnostics.
Different language, different platforms — Korea has Naver AI Briefing alongside ChatGPT — and a much larger sample. If the gap were a quirk of one market, this is where it would show.
The result
| Questions answered | Brands | Share |
|---|---|---|
| 0 | 186 | 65.5% |
| 1 | 52 | 18.3% |
| 2 | 27 | 9.5% |
| 3 | 11 | 3.9% |
| 4+ | 8 | 2.8% |
Only 4 brands out of 284 answered 5 or more.
Known, established brands were in the zero group. Recognition and AI citation are unrelated — AI doesn't know who's famous. It checks whether this page answers this question.
The category breakdown is the interesting part
| Category | Brands | Zero rate | Average |
|---|---|---|---|
| Beauty / skincare | 58 | 86% | 0.36 |
| Supplements | 58 | 74% | 0.57 |
| Home & living | 57 | 60% | 0.68 |
| Pet | 54 | 56% | 0.85 |
| Food & drink | 57 | 51% | 0.79 |
Beauty is worst by a wide margin. Which is strange, because beauty publishes more content than any other category — blogs, long product pages, ingredient explainers.
The problem isn't volume. It's that beauty copy is written to feel something.
"Deeply replenishing moisture." "All-day luminous glow."
Good brand writing. Impossible to cite — it isn't the answer to any question anyone asks.
Food scores best for the mirror-image reason. Storage, prep, sourcing, shelf life — food brands write answer-shaped sentences without trying, because their customers ask practical questions. So AI can quote them.
The same pattern in both markets
Across 304 brands in two markets:
Brand pages answer "who we are." Founder story, philosophy, sourcing standards.
AI is searching for "what's the answer to this." Which sunscreen works for sensitive skin? Grain-free dog treats — which ones?
That mismatch isn't a translation problem. It's a purpose problem, so it reproduces identically in Korean and English.
What English-language brands should take from this
Two things.
One: you're not behind, and neither is anyone else. Both markets are mostly empty. The shelf is short — AI names two or three brands — and most of those slots are unclaimed.
Two: check your category before you assume. If you're in beauty, the odds you're invisible are higher, and the fix is specific: keep the atmospheric copy, but add one factual sentence underneath it. Both can live on the same page.
Honest footnotes
- Korea: 370 brands attempted, 284 completed — the rest failed on crawl blocks or page structure. That failure rate is itself a finding.
- Korea used 50 questions, the US test used 30. Zero-rates compare; averages do not.
- Category labels were assigned by us and may not match how a brand sees itself.
- Judgments were made by a language model. Borderline cases exist where a human would score differently.
- Data as of July 2026.
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