Glean은 생산성 향상을 위해 설계된 엔터프라이즈급 AI 업무 플랫폼입니다. 강력한 권한 인식 검색 엔진과 생성형 AI 어시스턴트, 맞춤형 AI 에이전트를 결합했습니다. Glean은 회사의 모든 애플리케이션에 연결하여 직원들이 조직의 고유한 지식 기반을 바탕으로 안전하고 효율적으로 정보를 찾고, 콘텐츠를 생성하며, 워크플로우를 자동화할 수 있도록 지원합니다.
Super는 회사의 흩어진 데이터를 통합된 검색 가능 지식 기반으로 변환하는 AI 플랫폼입니다. Slack, Google Drive, Notion과 같은 도구와 연결하여 즉각적인 답변을 제공하고, 워크플로우를 자동화하며, 바로 사용 가능한 AI 어시스턴트를 배포하여 팀 생산성과 효율성을 향상시킵니다.
제품 개요
Glean 제품 개요
Glean은 생산성 향상을 위해 설계된 엔터프라이즈급 AI 업무 플랫폼입니다. 강력한 권한 인식 검색 엔진과 생성형 AI 어시스턴트, 맞춤형 AI 에이전트를 결합했습니다. Glean은 회사의 모든 애플리케이션에 연결하여 직원들이 조직의 고유한 지식 기반을 바탕으로 안전하고 효율적으로 정보를 찾고, 콘텐츠를 생성하며, 워크플로우를 자동화할 수 있도록 지원합니다.
Super 제품 개요
Super는 회사의 흩어진 데이터를 통합된 검색 가능 지식 기반으로 변환하는 AI 플랫폼입니다. Slack, Google Drive, Notion과 같은 도구와 연결하여 즉각적인 답변을 제공하고, 워크플로우를 자동화하며, 바로 사용 가능한 AI 어시스턴트를 배포하여 팀 생산성과 효율성을 향상시킵니다.
Detailed feature comparison
Glean vs Super monthly traffic
Compare Glean and Super by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Glean vs Super monthly traffic comparison, Glean currently shows 3.2M visits and Super shows 22.9K; Glean has about 139.5 times the visible traffic of Super, an absolute difference of about 3.2M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Glean monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 2.1M 월 방문
- 2026/1: 2.6M 월 방문
- 2026/2: 2.9M 월 방문
- 2026/3: 3.5M 월 방문
- 2026/4: 3.3M 월 방문
- 2026/5: 3.2M 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 67.37% | 2.1M |
| 🇮🇳India | 16.05% | 512.2K |
| 🇬🇧United Kingdom | 8.03% | 256.3K |
| 🇦🇺Australia | 6.39% | 203.9K |
| 🇵🇱Poland | 2.16% | 68.9K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 87.53% | 2.8M |
| 리퍼럴 | 9.85% | 314.3K |
| 이메일 | 2.62% | 83.6K |
검색 키워드
Super monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 9K 월 방문
- 2026/1: 10.5K 월 방문
- 2026/2: 10K 월 방문
- 2026/3: 14.9K 월 방문
- 2026/4: 11.3K 월 방문
- 2026/5: 22.9K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 64.21% | 14.7K |
| 🇳🇬Nigeria | 19.57% | 4.5K |
| 🇮🇳India | 6.04% | 1.4K |
| 🇧🇷Brazil | 5.35% | 1.2K |
| 🇵🇭Philippines | 4.83% | 1.1K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 99% | 22.6K |
| 리퍼럴 | 1% | 229 |
검색 키워드
Usage comparison
Compare the core capabilities of Glean and Super
Glean Core features
Super Core features
Use cases
Glean Use cases
Super Use cases
Best suited roles
Glean Best suited roles
Super Best suited roles
Glean vs Super:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Glean vs Super comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Glean is primarily listed under “기업 검색”, while Super is primarily listed under “기업 검색”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (Glean: 3.2M; Super: 22.9K); Monthly growth (Glean: -3%; Super: 101.6%); Favorites (Glean: 97; Super: 113); Website (Glean: glean.com; Super: super.work); Added (Glean: 2025-09-22; Super: 2025-09-17). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Glean vs Super monthly traffic comparison, Glean currently shows 3.2M visits and Super shows 22.9K; Glean has about 139.5 times the visible traffic of Super, an absolute difference of about 3.2M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Glean first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Glean and Super currently overlap in shared categories: 기업 검색 및 지식 관리; shared tags: AI 비서, 기업 검색, 지식 관리 및 워크플로 자동화; shared roles: 고객 지원, 인사 관리자, 마케팅 매니저, 프로덕트 매니저 및 영업 담당자. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Glean's unique categories/tags are 에이전트 빌더, AI 에이전트, 비즈니스 인텔리전스, 데이터 보안, 기업 AI, 생성형 AI 및 검색 증강 생성; Super's are 자동화, 고객 지원 AI, 데이터 통합, Google Drive 검색, 내부 검색, Notion AI, 슬랙 통합 및 팀 생산성. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Glean has no verified rating, 0 comments, 97 favorites, and 99 likes;Super has no verified rating, 0 comments, 113 favorites, and 82 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Glean first
Put Glean on the priority trial list when the task aligns with “기업 검색” and especially 에이전트 빌더, AI 에이전트, 비즈니스 인텔리전스, 데이터 보안, 기업 AI 및 생성형 AI, or the users include 전사 직원, 재무 분석가, IT 관리자 및 법률 고문. This follows recorded positioning and does not imply unlisted capabilities are absent.
Glean also currently records: pricing is paid, product type is website, 3.2M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Super first
Put Super on the priority trial list when the task aligns with “기업 검색” and especially 자동화, 고객 지원 AI, 데이터 통합, Google Drive 검색, 내부 검색 및 Notion AI, or the users include 최고 기술 책임자, 엔지니어링 매니저 및 운영 관리자. This follows recorded positioning and does not imply unlisted capabilities are absent.
Super also currently records: pricing is paid, product type is website, 22.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Glean and Super, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.




