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
Ontosight
학술 · 11K 월 방문
Ontosight는 생명 과학 및 의료 분야의 의사, 과학자, 학생을 위해 설계된 AI 기반 연구 보조 도구입니다. 수백만 건의 과학 논문에서 직접적이고 인용된 답변을 제공하여 연구를 가속화합니다. 고급 검색, 문헌 검토 자동화, PDF 상호 작용, 작문 및 협업을 향상시키는 의역 도구 등의 기능을 제공합니다.
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
Ontosight 제품 개요
Ontosight는 생명 과학 및 의료 분야의 의사, 과학자, 학생을 위해 설계된 AI 기반 연구 보조 도구입니다. 수백만 건의 과학 논문에서 직접적이고 인용된 답변을 제공하여 연구를 가속화합니다. 고급 검색, 문헌 검토 자동화, PDF 상호 작용, 작문 및 협업을 향상시키는 의역 도구 등의 기능을 제공합니다.
Preview
Detailed feature comparison
| Feature | Consensus | Ontosight |
|---|---|---|
| 주요 카테고리 | 학습 | 학술 |
| 등록일 | 2025-08-10 | 2025-08-15 |
| 가격 | 프리미엄 | 프리미엄 |
| 공식 사이트 | consensus.app | ontosight.ai |
| 제품 유형 | 웹사이트 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 5.7M | 11K |
| 월 성장률 | -2.5% | -47.8% |
| 즐겨찾기 | 98 | 113 |
| Details | 상세 보기 | 상세 보기 |
Consensus vs Ontosight monthly traffic
Compare Consensus and Ontosight by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Consensus vs Ontosight monthly traffic comparison, Consensus currently shows 5.7M visits and Ontosight shows 11K; Consensus has about 522.4 times the visible traffic of Ontosight, an absolute difference of about 5.7M 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.
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
Ontosight monthly traffic:
Latest traffic
월 방문
11K
평균 방문 시간
0:07
방문당 페이지
1.55
이탈률
43.61%
Data updated 2026-06-11
Monthly traffic trend
- 2025/9: 155.9K 월 방문
- 2026/1: 25.3K 월 방문
- 2026/2: 17.2K 월 방문
- 2026/3: 18.2K 월 방문
- 2026/4: 21.1K 월 방문
- 2026/5: 11K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 43% | 4.7K |
| 🇺🇸United States | 17.89% | 2K |
| 🇬🇧United Kingdom | 14.76% | 1.6K |
| 🇮🇩Indonesia | 13.48% | 1.5K |
| 🇫🇷France | 10.87% | 1.2K |
검색 키워드
avpcabencore music notation download fullhow to take care of a protaetia beetlehow to tell if defect is a meronon-off keying (ook) modulation
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Consensus 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.
Usage comparison
Compare the core capabilities of Consensus and Ontosight
Consensus Core features
글쓰기
문헌 검토
학습
의료
Ontosight Core features
글쓰기
문헌 검토
학술
의료
Use cases
Consensus Use cases
데이터 분석
문헌 검토
학술 검색
AI 검색 엔진
증거 기반
사실 확인
연구
연구자
과학 논문
학생
Ontosight Use cases
데이터 분석
문헌 검토
학술 연구
PDF와 채팅
인용 생성기
생명 과학
의학 연구
바꿔쓰기 도구
연구 보조
과학 글쓰기
Consensus vs Ontosight：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Consensus vs Ontosight comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Consensus is primarily listed under “학습”, while Ontosight 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: Primary category (Consensus: 학습; Ontosight: 학술); Monthly visits (Consensus: 5.7M; Ontosight: 11K); Monthly growth (Consensus: -2.5%; Ontosight: -47.8%); Favorites (Consensus: 98; Ontosight: 113); Website (Consensus: consensus.app; Ontosight: ontosight.ai). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Consensus vs Ontosight monthly traffic comparison, Consensus currently shows 5.7M visits and Ontosight shows 11K; Consensus has about 522.4 times the visible traffic of Ontosight, an absolute difference of about 5.7M 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 Consensus 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
Consensus and Ontosight currently overlap in shared categories: 글쓰기 및 문헌 검토; shared tags: 데이터 분석 및 문헌 검토. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Consensus's unique categories/tags are 학습, 의료, 학술 검색, AI 검색 엔진, 증거 기반, 사실 확인, 연구 및 연구자; Ontosight's are 학술, 의료, 학술 연구, PDF와 채팅, 인용 생성기, 생명 과학, 의학 연구 및 바꿔쓰기 도구. 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；Ontosight has no verified rating, 0 comments, 113 favorites, and 109 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 학습, 의료, 학술 검색, AI 검색 엔진, 증거 기반 및 사실 확인. 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 Ontosight first
Put Ontosight on the priority trial list when the task aligns with “학술” and especially 학술, 의료, 학술 연구, PDF와 채팅, 인용 생성기 및 생명 과학. This follows recorded positioning and does not imply unlisted capabilities are absent.
Ontosight also currently records: pricing is freemium, product type is website, 11K 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 Consensus and Ontosight, 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 Ontosight?
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.