# Korean SaaS AI Visibility Benchmark 2026-10

**Sample:** The same 12 Korean B2B SaaS domains re-measured after a measurement-engine revision — a new baseline, anonymized category aggregate (individual brands/domains not disclosed)  
**Measured:** 2026-10-16 (conditions v2)  
**Published:** 2026-10-16  
**Sample size:** N=12

## Sample criteria

Inclusion: B2B SaaS operated by Korean companies · public website · spread across 8 sub-verticals · public recognition (news/funding history). Exclusion: consumer-first services, Korean branches of global vendors, and RanketAI itself (conflict of interest). The sample and inputs are held fixed from the 2026-07 issue, and for repeated runs per domain only the latest valid run enters the distribution.

## Score distribution (0-100)

| p50 | p75 | p90 |
|---|---|---|
| 72 | 74 | 76 |

| A | B | C | D |
|---|---|---|---|
| 10 | 0 | 0 | 2 |

## Per-platform aggregates

| Platform | Brand mention rate | Own-domain citation rate |
|---|---|---|
| ChatGPT | 83% | 83% |
| Perplexity | 83% | 67% |
| Gemini | 83% | 33% |

## Top third-party cited sources (sample domains excluded)

| Host | Citations |
|---|---|
| impactflow.kr | 12 |
| daouoffice.com | 8 |
| blog.naver.com | 7 |
| naver.worksmobile.com | 7 |
| tistory.com | 7 |
| global.it-trend.jp | 6 |
| microsoft.com | 6 |
| namu.wiki | 6 |
| support.microsoft.com | 5 |
| workspace.google.com | 5 |

## Limitations
- Aggregated from 12 domains sampled from the public web — not product telemetry and not a representative sample of the whole industry.
- The measurement engine was revised after the 2026-08 issue. This issue is a new baseline and is not directly comparable with issues through 2026-08.
- Across 3 same-day rounds, individual scores differed by at most 6 points (median 2) and no domain changed grade. Because the sample is weighted toward well-known brands (10 at grade A), brands scoring near a grade boundary can move more than this on re-measurement.
- Based on a single measurement date (2026-10-16); with this sample size one domain equals 8.3 percentage points. Sub-vertical breakdowns and fine-grained percentile reads are limited.

## Methodology (abstract)

Major LLMs (ChatGPT · Gemini · Perplexity) · diverse purchase/comparison/discovery prompt combinations · multi-signal axes — measurement engine revised after the 2026-08 issue

See [https://www.ranketai.com/en/methodology](https://www.ranketai.com/en/methodology) for the full methodology.