# Korean SaaS AI Visibility Benchmark 2026-08

**Sample:** The same 12 Korean B2B SaaS domains as the 2026-07 issue, re-measured under identical conditions — anonymized category aggregate (individual brands/domains not disclosed)  
**Measured:** 2026-08-12 (conditions v2)  
**Published:** 2026-08-12  
**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 is 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 |
|---|---|---|
| 53 | 58 | 73 |

| A | B | C | D |
|---|---|---|---|
| 6 | 4 | 0 | 2 |

## Per-platform aggregates

| Platform | Brand mention rate | Own-domain citation rate |
|---|---|---|
| ChatGPT | 33% | 25% |
| Perplexity | 92% | 75% |
| Gemini | 83% | 67% |

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

| Host | Citations |
|---|---|
| impactflow.kr | 15 |
| reviewinsight.blog | 15 |
| blog.naver.com | 14 |
| tistory.com | 12 |
| zdnet.co.kr | 11 |
| daouoffice.com | 9 |
| platum.kr | 9 |
| brunch.co.kr | 8 |
| global.it-trend.jp | 8 |
| namu.wiki | 8 |

## Limitations
- Aggregated from 12 domains sampled from the public web — not product telemetry and not a representative sample of the whole industry.
- In two same-day rounds, individual scores moved by up to 17 points (median 6) and 2 of 12 domains changed grade. Month-over-month score changes had a median of 5.5 points — inside that band — so per-domain movement versus the previous issue should be read as measurement variance, not trend.
- The gap from the 2026-07 measurement date (2026-07-23) is 20 days, not a full month. Until issue intervals become uniform, treat the time series as indicative only.
- Based on a single measurement date (2026-08-12); 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 — identical to the 2026-07 issue

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