MagicPost는 LinkedIn 콘텐츠 제작을 간소화하기 위해 설계된 올인원 AI 기반 플랫폼입니다. 사용자가 매력적인 게시물을 생성하고, 바이럴 아이디어를 찾고, 콘텐츠를 예약하고, 성과를 분석하여 시간을 절약하고 전문적인 존재감을 높일 수 있도록 돕습니다.
protip은 전문가와 크리에이터를 위해 설계된 AI 기반 콘텐츠 제작 어시스턴트입니다. 소셜 미디어, 개인 블로그, 뉴스레터를 위한 통찰력 있고 고품질의 '프로 팁'을 생성하여 사용자가 사고 리더십을 구축하고 잠재 고객과 효과적으로 소통할 수 있도록 돕습니다.
제품 개요
MagicPost 제품 개요
MagicPost는 LinkedIn 콘텐츠 제작을 간소화하기 위해 설계된 올인원 AI 기반 플랫폼입니다. 사용자가 매력적인 게시물을 생성하고, 바이럴 아이디어를 찾고, 콘텐츠를 예약하고, 성과를 분석하여 시간을 절약하고 전문적인 존재감을 높일 수 있도록 돕습니다.
Protip 제품 개요
protip은 전문가와 크리에이터를 위해 설계된 AI 기반 콘텐츠 제작 어시스턴트입니다. 소셜 미디어, 개인 블로그, 뉴스레터를 위한 통찰력 있고 고품질의 '프로 팁'을 생성하여 사용자가 사고 리더십을 구축하고 잠재 고객과 효과적으로 소통할 수 있도록 돕습니다.
Detailed feature comparison
| Feature | MagicPost | Protip |
|---|---|---|
| 주요 카테고리 | 소셜 미디어 마케팅 | 소셜 미디어 마케팅 |
| 등록일 | 2025-08-02 | 2025-09-06 |
| 가격 | 프리미엄 | 프리미엄 |
| 공식 사이트 | magicpost.in | protip.social |
| 제품 유형 | 웹사이트 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 175.6K | 3.4K |
| 월 성장률 | 15.4% | 확인되지 않음 |
| 즐겨찾기 | 111 | 100 |
| Details | 상세 보기 | 상세 보기 |
MagicPost vs Protip monthly traffic
Compare MagicPost and Protip by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the MagicPost vs Protip monthly traffic comparison, MagicPost currently shows 175.6K visits and Protip shows 3.4K; MagicPost has about 50.9 times the visible traffic of Protip, an absolute difference of about 172.1K visits. This reflects visible reach, not feature quality or paid users.
Only MagicPost has complete third-party traffic details; Protip 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.
MagicPost monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 154.1K 월 방문
- 2026/1: 198.5K 월 방문
- 2026/2: 147.4K 월 방문
- 2026/3: 171.7K 월 방문
- 2026/4: 152.1K 월 방문
- 2026/5: 175.6K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 41.7% | 73.2K |
| 🇩🇪Germany | 19.17% | 33.7K |
| 🇺🇸United States | 16.94% | 29.7K |
| 🇫🇷France | 13.4% | 23.5K |
| 🇬🇧United Kingdom | 8.79% | 15.4K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 90.9% | 159.6K |
| 리퍼럴 | 8.83% | 15.5K |
| 이메일 | 0.27% | 474 |
검색 키워드
Protip monthly traffic:
Latest traffic
Usage comparison
Compare the core capabilities of MagicPost and Protip
MagicPost Core features
Protip Core features
Use cases
MagicPost Use cases
Protip Use cases
Best suited roles
MagicPost Best suited roles
Protip Best suited roles
MagicPost vs Protip:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth MagicPost vs Protip comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. MagicPost is primarily listed under “소셜 미디어 마케팅”, while Protip is primarily listed under “소셜 미디어 마케팅”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (MagicPost: 175.6K; Protip: 3.4K); Favorites (MagicPost: 111; Protip: 100); Website (MagicPost: magicpost.in; Protip: protip.social); Added (MagicPost: 2025-08-02; Protip: 2025-09-06). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the MagicPost vs Protip monthly traffic comparison, MagicPost currently shows 175.6K visits and Protip shows 3.4K; MagicPost has about 50.9 times the visible traffic of Protip, an absolute difference of about 172.1K visits. This reflects visible reach, not feature quality or paid users.
Only MagicPost has complete third-party traffic details; Protip 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
MagicPost and Protip currently overlap in shared categories: 소셜 미디어 마케팅, 글쓰기 및 콘텐츠 제작; shared tags: AI 작가, 콘텐츠 제작, 링크드인 및 개인 브랜딩. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
MagicPost's unique categories/tags are 분석, 포스트 생성기, 일정 도구 및 소셜 미디어 마케팅; Protip's are 콘텐츠 마케팅, 마케팅 자동화, 생산성, 소셜 미디어 및 사고 리더십. 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
MagicPost has no verified rating, 0 comments, 111 favorites, and 103 likes;Protip has no verified rating, 0 comments, 100 favorites, and 113 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate MagicPost first
Put MagicPost on the priority trial list when the task aligns with “소셜 미디어 마케팅” and especially 분석, 포스트 생성기, 일정 도구 및 소셜 미디어 마케팅. This follows recorded positioning and does not imply unlisted capabilities are absent.
MagicPost also currently records: pricing is freemium, product type is website, 175.6K 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 Protip first
Put Protip on the priority trial list when the task aligns with “소셜 미디어 마케팅” and especially 콘텐츠 마케팅, 마케팅 자동화, 생산성, 소셜 미디어 및 사고 리더십, or the users include 컨설턴트, 콘텐츠 크리에이터, 설립자 및 인사 관리자. This follows recorded positioning and does not imply unlisted capabilities are absent.
Protip also currently records: pricing is freemium, product type is website, 3.4K 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.
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 MagicPost and Protip, 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.




