Open Dataset

Measured AI answer-surface visibility, published as a dataset.

These are the measured numbers we have already published on our research pages, repackaged so you can actually reuse them. Nothing here is new: every row is bound to a registered entry in our public claims registry, and you are welcome to cite any of it — in an article, a deck or a study — as long as you name the source.

Method, sample, limitations

Method

We put the same buyer-style questions to several AI answer surfaces, repeatedly, and recorded whether each brand was mentioned in the answer body and whether it was cited as a source. Rates carry Wilson 95% confidence intervals, and because valid denominators differ by surface, we never pool or compare rates across surfaces. Execution details — the query panel wording and judgment configuration — stay private; only aggregates are published.

Sample

This release covers four measured blocks from the Korean market: an industry grid of 9 law firms and 9 dermatology and plastic-surgery clinics, each across 6 AI answer surfaces; a 50-query panel on NAVER AI Briefing (343 valid observations); and a Google AI Overviews observation of 50 queries × 14 observations each. All measurement windows fall in July 2026.

Limitations

These are observations of specific industries at specific points in time. Other industries and later dates can look different, so do not generalize beyond the measured scope. Denominators differ per surface (they are printed next to the tables), and this release covers the Korean market only — US and Japan sections will be added at this same address as those measurements are published.

Download as JSON

Version v1 · updated 2026-07-23 · free to cite with attribution — every row in the JSON carries a link to the page where the figure was first published.

Law firms (KR) — mention and citation across 6 AI answer surfaces

Window 2026-07-16 ~ 2026-07-17 KST. 9 brands × 6 surfaces, 10 queries × 7 repeats.

Law-firm grid aggregates
MetricValue
Valid mention observations393
Surfaces with a leading brand present6 of 6
Leader mention-rate range by surface27~69%
Median roster mention rate, range by surface0.0~47.1%
Same-brand mention-rate spread across surfacesmax 68.6% / min 2.9%
Same-brand citation-rate spread across surfacesmax 21.4% / min 2.9%
Brands in the top band on every surface1 of 9
Brand × surface cells with zero citations28 of 54
High-mention, zero-citation casemention 44.3% · citations 0 of 70
Law firms — valid-run denominators per surface (AI answer displayed)
SurfaceValid runs
ChatGPT70
Claude70
Perplexity70
Grok70
NAVER AI Briefing70
Google AI Mode43

The 27 Google AI Mode runs where no AI answer was displayed are excluded from the denominator and disclosed as a count. Denominators differ per surface, so rates are never pooled.

Clinics (KR) — same grid, a different picture

Window 2026-07-16 ~ 2026-07-17 KST. Same design as the law-firm grid.

Clinic grid aggregates
MetricValue
Median roster mention rate, range by surface0.0~1.4%
Best-placed clinic, queries with presence3 of 10
Clinics never mentioned at all5 of 9
Valid-run denominator — ChatGPT70
Valid-run denominator — Claude70
Valid-run denominator — Perplexity70
Valid-run denominator — Grok70
Valid-run denominator — NAVER AI Briefing70
Valid-run denominator — Google AI Mode53

NAVER AI Briefing t0 — the pre-advertising baseline

Measured 2026-07-16. A 50-query panel (commercial 32 · informational 13 · branded 5) × 7 repeats: 350 runs, 343 valid observations. NAVER is the surface most non-Korean tools skip — which is exactly why this baseline is worth having on record.

AI Briefing display, mentions, ad elements
MetricValue
AI Briefing displayed343 of 343 (100%)
Unique cited domains91
Panel brands mentioned in answer bodies3 of 9
Ad elements detected (our judgment criteria)0 of 343
Citation-domain distribution — top domains vs valid observations
DomainAppearancesShare
blog.naver.com15144.0%
i-boss.co.kr7822.7%
ranketai.com4212.2%
developers.google.com3811.1%
openads.co.kr3510.2%
namu.wiki288.2%
ai.idearabbit.co.kr257.3%
aeocheck.co.kr216.1%
mepix.ai216.1%
zestcompany.co.kr195.5%

Google AI Overviews — observed in Korea

Measured 2026-07-12. 50 queries × 14 observations each, 700 observations total.

AIO trigger, mention, citation
MetricValue
AIO trigger rate96.0% (49 of 50 queries)
Brand mentioned in answer body41.5%
Cited as a source9.6%

Sources

Every figure above was first published on one of these pages. When you cite the dataset, please cite the original page as well.

  1. AI 가시성 인덱스 — 로펌(KR) · 2026년 8월호(제1호) published 2026-07-17
  2. AI 가시성 인덱스 — 피부·성형 클리닉(KR) · 2026년 8월호(제1호) published 2026-07-17
  3. 같은 질문, 여섯 개의 다른 답 — 로펌 업종 AI 검색 실측 published 2026-07-10
  4. 로펌 AI 가시성 리더보드 1호 — 전통 서열과 다른 순위표 published 2026-07-10
  5. 피부·성형 클리닉 AI 가시성 리더보드 2호 — 아직 주인이 없는 시장 published 2026-07-11
  6. 언급과 인용은 다른 사건 — AI 가시성 리포트가 세는 것의 판정 기준 published 2026-07-17
  7. 광고가 들어오기 전, 네이버 AI브리핑은 지금 누구를 인용하는가 published 2026-07-16
  8. 구글 AI 요약(AIO), 한국에서 이미 켜져 있습니다 — 50개 질의 중 49개 실측 published 2026-07-12
  9. 측정 방법론
  10. 공개 클레임 레지스트리

How to cite

Suggested form: CiteAngle, "Open Aggregates: AI Answer-Surface Visibility, v1 (2026-07)", citeangle.com — with a link to the original page. Aggregates are free to redistribute; the underlying sealed run artifacts, query panels and judgment configurations are not part of the release.

Download as JSON

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