Base는 학자 및 학습자를 위한 AI 기반 연구 플랫폼입니다. 2억 4천만 개 이상의 논문을 검색하고, 대화형 그래프로 연구 동향을 시각화하며, 연구 결과를 정리하고, AI 채팅을 사용하여 신뢰할 수 있는 출처에서 더 깊은 통찰력을 발견할 수 있습니다.
Rayyan은 연구자들이 체계적 문헌 고찰 및 문헌 검토를 가속화할 수 있도록 설계된 AI 기반 플랫폼입니다. 자동 스크리닝, 중복 탐지, 실시간 협업과 같은 기능으로 프로세스를 간소화하여 연구자들의 스크리닝 시간을 최대 90%까지 절약해 줍니다. 80만 명 이상의 사용자가 신뢰하며, 데이터 가져오기부터 최종 보고까지 전체 검토 라이프사이클을 지원합니다.
제품 개요
Base 제품 개요
Base는 학자 및 학습자를 위한 AI 기반 연구 플랫폼입니다. 2억 4천만 개 이상의 논문을 검색하고, 대화형 그래프로 연구 동향을 시각화하며, 연구 결과를 정리하고, AI 채팅을 사용하여 신뢰할 수 있는 출처에서 더 깊은 통찰력을 발견할 수 있습니다.
Rayyan 제품 개요
Rayyan은 연구자들이 체계적 문헌 고찰 및 문헌 검토를 가속화할 수 있도록 설계된 AI 기반 플랫폼입니다. 자동 스크리닝, 중복 탐지, 실시간 협업과 같은 기능으로 프로세스를 간소화하여 연구자들의 스크리닝 시간을 최대 90%까지 절약해 줍니다. 80만 명 이상의 사용자가 신뢰하며, 데이터 가져오기부터 최종 보고까지 전체 검토 라이프사이클을 지원합니다.
Detailed feature comparison
Base vs Rayyan monthly traffic
Compare Base and Rayyan by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Base vs Rayyan monthly traffic comparison, Base currently shows 6.2K visits and Rayyan shows 1.1M; Rayyan has about 174.2 times the visible traffic of Base, an absolute difference of about 1.1M 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.
Base monthly traffic:
Latest traffic
Monthly traffic trend
- 2026/1: 16.3K 월 방문
- 2026/2: 5.5K 월 방문
- 2026/3: 3.6K 월 방문
- 2026/4: 1.8K 월 방문
- 2026/5: 6.2K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 98.83% | 6.2K |
| 🇺🇸United States | 1.17% | 73 |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 86.88% | 5.4K |
| 리퍼럴 | 13.12% | 820 |
검색 키워드
Rayyan monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 917.4K 월 방문
- 2026/1: 942.9K 월 방문
- 2026/2: 1M 월 방문
- 2026/3: 1.1M 월 방문
- 2026/4: 1.1M 월 방문
- 2026/5: 1.1M 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 32.99% | 359.1K |
| 🇧🇷Brazil | 31.2% | 339.6K |
| 🇬🇧United Kingdom | 20.31% | 221K |
| 🇵🇰Pakistan | 7.75% | 84.3K |
| 🇵🇹Portugal | 7.75% | 84.3K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 80.86% | 880.1K |
| 리퍼럴 | 14.66% | 159.6K |
| 이메일 | 4.48% | 48.8K |
검색 키워드
Usage comparison
Compare the core capabilities of Base and Rayyan
Base Core features
Rayyan Core features
Use cases
Base Use cases
Rayyan Use cases
Best suited roles
Base Best suited roles
Rayyan Best suited roles
Base vs Rayyan:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Base vs Rayyan comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Base is primarily listed under “학술”, while Rayyan is primarily listed under “학술”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (Base: 6.2K; Rayyan: 1.1M); Monthly growth (Base: 255.1%; Rayyan: -4%); Favorites (Base: 102; Rayyan: 128); Website (Base: basedid.com; Rayyan: rayyan.ai); Added (Base: 2025-11-08; Rayyan: 2025-09-11). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Base vs Rayyan monthly traffic comparison, Base currently shows 6.2K visits and Rayyan shows 1.1M; Rayyan has about 174.2 times the visible traffic of Base, an absolute difference of about 1.1M 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 Rayyan 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
Base and Rayyan currently overlap in shared categories: 학술 및 연구; shared tags: 문헌 검토 및 연구; shared roles: 데이터 분석가, 사서, 정책 분석가 및 과학자. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Base's unique categories/tags are 문헌 검토, 학술 논문, AI 검색, 인용 분석, 데이터 시각화, 지식 관리, OpenAlex 및 연구 보조; Rayyan's are 학술, AI 스크리닝, 협업, 데이터 분석, 중복 제거, 의학 연구, Prisma 및 과학 글쓰기. 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
Base has no verified rating, 0 comments, 102 favorites, and 106 likes;Rayyan has no verified rating, 0 comments, 128 favorites, and 116 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Base first
Put Base on the priority trial list when the task aligns with “학술” and especially 문헌 검토, 학술 논문, AI 검색, 인용 분석, 데이터 시각화 및 지식 관리, or the users include 학술 연구원, 기자, R&D 전문가 및 학생. This follows recorded positioning and does not imply unlisted capabilities are absent.
Base also currently records: pricing is freemium, product type is website, 6.2K 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 Rayyan first
Put Rayyan on the priority trial list when the task aligns with “학술” and especially 학술, AI 스크리닝, 협업, 데이터 분석, 중복 제거 및 의학 연구, or the users include 학술적인, 의료인, 박사 과정생 및 공중 보건 전문가. This follows recorded positioning and does not imply unlisted capabilities are absent.
Rayyan also currently records: pricing is freemium, product type is website, 1.1M 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 Base and Rayyan, 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.




