Fathom은 Zoom, Google Meet, Microsoft Teams 화상 통화를 자동으로 녹화, 필사 및 요약하는 최고 등급의 AI 회의 비서입니다. 필기에서 벗어나 대화에 완전히 집중할 수 있게 해줍니다. Fathom은 즉각적이고 공유 가능한 요약 및 실행 항목을 제공하며, CRM 및 기타 생산성 도구와 원활하게 통합되어 상당한 시간을 절약하고 회의 후 효율성을 높입니다.
Grain은 성장하는 팀을 위해 설계된 AI 기반 회의록 작성 도구입니다. Zoom, Google Meet, Microsoft Teams와 같은 플랫폼의 화상 통화를 자동으로 녹화, 텍스트 변환 및 요약합니다. 영업, 고객 성공 및 제품 팀이 중요한 인사이트를 포착하고, 후속 조치를 자동화하며, 데이터를 CRM에 동기화하고, 팀 코칭 및 협업을 촉진하여 모든 사람이 대화에 집중할 수 있도록 돕습니다.
제품 개요
Fathom 제품 개요
Fathom은 Zoom, Google Meet, Microsoft Teams 화상 통화를 자동으로 녹화, 필사 및 요약하는 최고 등급의 AI 회의 비서입니다. 필기에서 벗어나 대화에 완전히 집중할 수 있게 해줍니다. Fathom은 즉각적이고 공유 가능한 요약 및 실행 항목을 제공하며, CRM 및 기타 생산성 도구와 원활하게 통합되어 상당한 시간을 절약하고 회의 후 효율성을 높입니다.
Grain 제품 개요
Grain은 성장하는 팀을 위해 설계된 AI 기반 회의록 작성 도구입니다. Zoom, Google Meet, Microsoft Teams와 같은 플랫폼의 화상 통화를 자동으로 녹화, 텍스트 변환 및 요약합니다. 영업, 고객 성공 및 제품 팀이 중요한 인사이트를 포착하고, 후속 조치를 자동화하며, 데이터를 CRM에 동기화하고, 팀 코칭 및 협업을 촉진하여 모든 사람이 대화에 집중할 수 있도록 돕습니다.
Detailed feature comparison
Fathom vs Grain monthly traffic
Compare Fathom and Grain by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Fathom vs Grain monthly traffic comparison, Fathom currently shows 4.8M visits and Grain shows 189.3K; Fathom has about 25.6 times the visible traffic of Grain, an absolute difference of about 4.6M 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.
Fathom monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 3.8M 월 방문
- 2026/1: 4.4M 월 방문
- 2026/2: 4.6M 월 방문
- 2026/3: 4.9M 월 방문
- 2026/4: 5M 월 방문
- 2026/5: 4.8M 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 67.29% | 3.3M |
| 🇬🇧United Kingdom | 12.05% | 583.1K |
| 🇨🇦Canada | 7.79% | 376.9K |
| 🇮🇳India | 7.02% | 339.7K |
| 🇦🇺Australia | 5.85% | 283.1K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 78.73% | 3.8M |
| 리퍼럴 | 14.01% | 677.9K |
| 이메일 | 7.26% | 351.3K |
검색 키워드
Grain monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 212.8K 월 방문
- 2026/1: 231.9K 월 방문
- 2026/2: 173.3K 월 방문
- 2026/3: 175.2K 월 방문
- 2026/4: 167.7K 월 방문
- 2026/5: 189.3K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 69.54% | 131.6K |
| 🇮🇹Italy | 10.4% | 19.7K |
| 🇪🇸Spain | 7.18% | 13.6K |
| 🇨🇦Canada | 6.76% | 12.8K |
| 🇧🇷Brazil | 6.12% | 11.6K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 91.53% | 173.2K |
| 리퍼럴 | 4.68% | 8.9K |
| 이메일 | 3.79% | 7.2K |
검색 키워드
Usage comparison
Compare the core capabilities of Fathom and Grain
Fathom Core features
Grain Core features
Use cases
Fathom Use cases
Grain Use cases
Fathom vs Grain:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Fathom vs Grain comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Fathom is primarily listed under “전사”, while Grain is primarily listed under “고객 피드백”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Fathom: 전사; Grain: 고객 피드백); Monthly visits (Fathom: 4.8M; Grain: 189.3K); Monthly growth (Fathom: -3.4%; Grain: 12.9%); Favorites (Fathom: 132; Grain: 116); Website (Fathom: fathom.video; Grain: grain.com). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Fathom vs Grain monthly traffic comparison, Fathom currently shows 4.8M visits and Grain shows 189.3K; Fathom has about 25.6 times the visible traffic of Grain, an absolute difference of about 4.6M 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 Fathom 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
Fathom and Grain currently overlap in shared categories: 회의 도우미 및 대화 인텔리전스; shared tags: AI 노트 필기 도구, 구글 미트, 회의 요약, 생산성, 전사 및 줌. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Fathom's unique categories/tags are 전사, 자동 노트, 협업, 회의 보조, Microsoft Teams 및 영업; Grain's are 고객 피드백, 지식 관리, 자동 노트, 대화형 인텔리전스, CRM 통합, 회의 녹음기, 영업 코칭 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
Fathom has no verified rating, 0 comments, 132 favorites, and 127 likes;Grain has no verified rating, 0 comments, 116 favorites, and 133 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Fathom first
Put Fathom on the priority trial list when the task aligns with “전사” and especially 전사, 자동 노트, 협업, 회의 보조, Microsoft Teams 및 영업. This follows recorded positioning and does not imply unlisted capabilities are absent.
Fathom also currently records: pricing is freemium, product type is website, 4.8M 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 Grain first
Put Grain on the priority trial list when the task aligns with “고객 피드백” and especially 고객 피드백, 지식 관리, 자동 노트, 대화형 인텔리전스, CRM 통합 및 회의 녹음기. This follows recorded positioning and does not imply unlisted capabilities are absent.
Grain also currently records: pricing is freemium, product type is website, 189.3K 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 Fathom and Grain, 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.




