Atwork는 효율적인 워크플로우 관리를 위해 설계된 AI 기반 노코드 작업 운영 체제(Work OS)입니다. 팀이 한 곳에서 프로젝트를 관리하고, 데이터를 정리하며, 프로세스를 자동화할 수 있는 완전히 맞춤 설정 가능한 플랫폼을 제공하여 생산성을 높이고 비즈니스 확장을 가능하게 합니다.
monday.com은 업무의 모든 측면을 단일 협업 플랫폼으로 통합하는 포괄적인 Work OS(업무 운영 체제)입니다. AI를 활용하여 작업을 자동화하고 워크플로우를 간소화하며, 프로젝트 관리, 영업, 마케팅, IT 등 다양한 팀에 데이터 기반 인사이트를 제공하여 생산성과 가시성을 향상시킵니다.
제품 개요
Atwork 제품 개요
Atwork는 효율적인 워크플로우 관리를 위해 설계된 AI 기반 노코드 작업 운영 체제(Work OS)입니다. 팀이 한 곳에서 프로젝트를 관리하고, 데이터를 정리하며, 프로세스를 자동화할 수 있는 완전히 맞춤 설정 가능한 플랫폼을 제공하여 생산성을 높이고 비즈니스 확장을 가능하게 합니다.
monday.com 제품 개요
monday.com은 업무의 모든 측면을 단일 협업 플랫폼으로 통합하는 포괄적인 Work OS(업무 운영 체제)입니다. AI를 활용하여 작업을 자동화하고 워크플로우를 간소화하며, 프로젝트 관리, 영업, 마케팅, IT 등 다양한 팀에 데이터 기반 인사이트를 제공하여 생산성과 가시성을 향상시킵니다.
Detailed feature comparison
Atwork vs monday.com monthly traffic
Compare Atwork and monday.com by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Atwork vs monday.com monthly traffic comparison, Atwork currently shows 3.5K visits and monday.com shows 35.4M; monday.com has about 10,069.4 times the visible traffic of Atwork, an absolute difference of about 35.4M visits. This reflects visible reach, not feature quality or paid users.
Only monday.com has complete third-party traffic details; Atwork uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
Atwork monthly traffic:
Latest traffic
monday.com monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 40.2M 월 방문
- 2026/1: 39M 월 방문
- 2026/2: 36.5M 월 방문
- 2026/3: 39.3M 월 방문
- 2026/4: 36.7M 월 방문
- 2026/5: 35.4M 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 62.28% | 22M |
| 🇧🇷Brazil | 10.95% | 3.9M |
| 🇬🇧United Kingdom | 10.28% | 3.6M |
| 🇦🇺Australia | 9.37% | 3.3M |
| 🇵🇭Philippines | 7.12% | 2.5M |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 88.42% | 31.3M |
| 이메일 | 6.79% | 2.4M |
| 리퍼럴 | 4.79% | 1.7M |
검색 키워드
Usage comparison
Compare the core capabilities of Atwork and monday.com
Atwork Core features
monday.com Core features
Use cases
Atwork Use cases
monday.com Use cases
Atwork vs monday.com:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Atwork vs monday.com comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Atwork is primarily listed under “CRM”, while monday.com is primarily listed under “CRM”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (Atwork: 3.5K; monday.com: 35.4M); Favorites (Atwork: 133; monday.com: 123); Website (Atwork: atwork.io; monday.com: monday.com); Added (Atwork: 2025-08-05; monday.com: 2025-08-07). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Atwork vs monday.com monthly traffic comparison, Atwork currently shows 3.5K visits and monday.com shows 35.4M; monday.com has about 10,069.4 times the visible traffic of Atwork, an absolute difference of about 35.4M visits. This reflects visible reach, not feature quality or paid users.
Only monday.com has complete third-party traffic details; Atwork uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Product positioning, use cases, and roles
Atwork and monday.com currently overlap in shared categories: CRM, 프로젝트 관리 및 작업 관리; shared tags: CRM, 데이터 시각화, 노코드, 프로젝트 관리, 작업 관리, 워크플로 자동화 및 업무 OS. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Atwork's unique categories/tags are 노코드, AI 비서, 협업 및 데이터베이스; monday.com's are 마케팅 자동화, 애자일 개발, 마케팅 관리, 영업 파이프라인 및 팀 협업. 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
Atwork has no verified rating, 0 comments, 133 favorites, and 137 likes;monday.com has no verified rating, 0 comments, 123 favorites, and 123 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Atwork first
Put Atwork on the priority trial list when the task aligns with “CRM” and especially 노코드, AI 비서, 협업 및 데이터베이스. This follows recorded positioning and does not imply unlisted capabilities are absent.
Atwork also currently records: pricing is freemium, product type is website, 3.5K on-site monthly views, 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 monday.com first
Put monday.com on the priority trial list when the task aligns with “CRM” and especially 마케팅 자동화, 애자일 개발, 마케팅 관리, 영업 파이프라인 및 팀 협업. This follows recorded positioning and does not imply unlisted capabilities are absent.
monday.com also currently records: pricing is freemium, product type is website, 35.4M 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 Atwork and monday.com, 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.




