Consensus
학습 · 5.7M 월 방문
Consensus는 과학 연구를 위해 설계된 AI 기반 검색 엔진입니다. 2억 개 이상의 동료 심사 논문을 검색하여 사용자의 질문에 증거 기반의 종합적인 답변을 제공하며, 과학 문헌에서 직접 주요 결과를 추출하여 연구자, 학생, 전문가의 시간을 절약해 줍니다.
VS
STORM
학습 · 4.2K 월 방문
STORM은 스탠포드 대학교에서 개발한 AI 연구 프로토타입으로, 모든 주제에 대해 위키피디아와 유사한 포괄적인 보고서를 자동으로 생성합니다. 사용자가 연구 과정을 안내하고, 개요를 편집하며, 잘 구조화되고 출처가 명시된 문서를 효율적으로 제작할 수 있도록 대화형 지식 큐레이션을 지원합니다.
제품 개요
Consensus 제품 개요
Consensus는 과학 연구를 위해 설계된 AI 기반 검색 엔진입니다. 2억 개 이상의 동료 심사 논문을 검색하여 사용자의 질문에 증거 기반의 종합적인 답변을 제공하며, 과학 문헌에서 직접 주요 결과를 추출하여 연구자, 학생, 전문가의 시간을 절약해 줍니다.
Preview
STORM 제품 개요
STORM은 스탠포드 대학교에서 개발한 AI 연구 프로토타입으로, 모든 주제에 대해 위키피디아와 유사한 포괄적인 보고서를 자동으로 생성합니다. 사용자가 연구 과정을 안내하고, 개요를 편집하며, 잘 구조화되고 출처가 명시된 문서를 효율적으로 제작할 수 있도록 대화형 지식 큐레이션을 지원합니다.
Preview
Detailed feature comparison
| Feature | Consensus | STORM |
|---|---|---|
| 주요 카테고리 | 학습 | 학습 |
| 등록일 | 2025-08-10 | 2025-08-15 |
| 가격 | 프리미엄 | 무료 |
| 공식 사이트 | consensus.app | storm.genie.stanford.edu |
| 제품 유형 | 웹사이트 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 5.7M | 4.2K |
| 월 성장률 | -2.5% | 확인되지 않음 |
| 즐겨찾기 | 98 | 128 |
| Details | 상세 보기 | 상세 보기 |
Consensus vs STORM monthly traffic
Compare Consensus and STORM by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Consensus vs STORM monthly traffic comparison, Consensus currently shows 5.7M visits and STORM shows 4.2K; Consensus has about 1,375.7 times the visible traffic of STORM, an absolute difference of about 5.7M visits. This reflects visible reach, not feature quality or paid users.
Only Consensus has complete third-party traffic details; STORM 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.
Consensus monthly traffic:
Latest traffic
월 방문
5.7M
평균 방문 시간
4:32
방문당 페이지
4.37
이탈률
38.7%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 3.5M 월 방문
- 2026/1: 3.9M 월 방문
- 2026/2: 4M 월 방문
- 2026/3: 5.1M 월 방문
- 2026/4: 5.9M 월 방문
- 2026/5: 5.7M 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇩Indonesia | 35.36% | 2M |
| 🇺🇸United States | 29.41% | 1.7M |
| 🇵🇪Peru | 12.81% | 735.4K |
| 🇮🇳India | 11.61% | 666.5K |
| 🇩🇪Germany | 10.81% | 620.6K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 85.92% | 4.9M |
| 리퍼럴 | 12.3% | 706.1K |
| 이메일 | 1.78% | 102.2K |
검색 키워드
concensusconsensusconsensus aielicitgoogle scholar
STORM monthly traffic:
Latest traffic
월 방문
4.2K
Traffic-based selection guidance: 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.
Usage comparison
Compare the core capabilities of Consensus and STORM
Consensus Core features
학습
의료
글쓰기
문헌 검토
STORM Core features
학습
글쓰기 도우미
지식 관리
Use cases
Consensus Use cases
문헌 검토
연구
학술 검색
AI 검색 엔진
데이터 분석
증거 기반
사실 확인
연구자
과학 논문
학생
STORM Use cases
문헌 검토
연구
학술 글쓰기
자동화된 연구
콘텐츠 제작
지식 큐레이션
지식 합성
보고서 생성
스탠포드
Consensus vs STORM：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Consensus vs STORM comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Consensus is primarily listed under “학습”, while STORM is primarily listed under “학습”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Pricing (Consensus: Freemium; STORM: Free); Monthly visits (Consensus: 5.7M; STORM: 4.2K); Favorites (Consensus: 98; STORM: 128); Website (Consensus: consensus.app; STORM: storm.genie.stanford.edu); Added (Consensus: 2025-08-10; STORM: 2025-08-15). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Consensus vs STORM monthly traffic comparison, Consensus currently shows 5.7M visits and STORM shows 4.2K; Consensus has about 1,375.7 times the visible traffic of STORM, an absolute difference of about 5.7M visits. This reflects visible reach, not feature quality or paid users.
Only Consensus has complete third-party traffic details; STORM 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
Consensus and STORM currently overlap in shared categories: 학습; shared tags: 문헌 검토 및 연구. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Consensus's unique categories/tags are 의료, 글쓰기, 문헌 검토, 학술 검색, AI 검색 엔진, 데이터 분석, 증거 기반 및 사실 확인; STORM's are 글쓰기 도우미, 지식 관리, 학술 글쓰기, 자동화된 연구, 콘텐츠 제작, 지식 큐레이션, 지식 합성 및 보고서 생성. 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
Consensus has no verified rating, 0 comments, 98 favorites, and 90 likes；STORM has no verified rating, 0 comments, 128 favorites, and 120 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Consensus first
Put Consensus on the priority trial list when the task aligns with “학습” and especially 의료, 글쓰기, 문헌 검토, 학술 검색, AI 검색 엔진 및 데이터 분석. This follows recorded positioning and does not imply unlisted capabilities are absent.
Consensus also currently records: pricing is freemium, product type is website, 5.7M 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 STORM first
Put STORM on the priority trial list when the task aligns with “학습” and especially 글쓰기 도우미, 지식 관리, 학술 글쓰기, 자동화된 연구, 콘텐츠 제작 및 지식 큐레이션. This follows recorded positioning and does not imply unlisted capabilities are absent.
STORM also currently records: pricing is free, product type is website, 4.2K 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 Consensus and STORM, 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.
비교 FAQ
How should I choose between Consensus and STORM?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.