
Share Deep Research is an AI research assistant that searches major academic databases, synthesizes the findings it retrieves, and drafts structured research reports and papers with real, verifiable citations. It is aimed at students, academics and analysts who need to move quickly from a research question to a well-formed literature review or thesis-length document.

에디터가 매긴 5점 만점 평가이며, 사용자 평점의 평균이 아닙니다. 이 페이지의 관점들은 제품 정보를 바탕으로 AI가 정리한 것이며, 실제 사용자 후기가 아닙니다.
2026-11-11에 검증된 OpenAITools.app 텔레메트리에 따르면, Share Deep Research(sharedeepresearch.ai)은(는) AI 리서치 도구에 색인된 AI 플랫폼으로 월 0회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 +0(0%)입니다. 주요 지리적 시장은 글로벌(트래픽 점유율 —)이며, 무료+유료 가격 모델로 운영됩니다. 월간 트래픽 기준 주요 경쟁 대안으로는 ThesisAI (월 22.44만회 방문), ResearchRabbit (월 83.16만회 방문), Semantic Scholar (월 819.87만회 방문) 등이 있습니다.
실제 논문 인용구 포함해서 리포트 뽑아주니 편하네요.
문헌 조사 초안 잡을 때 시간 엄청 아껴줍니다.
실제 사이트 점검, 요금 구조, 동일 카테고리 기준을 바탕으로 AI가 재구성한 참고 관점이며 개별 실사용자의 후기가 아닙니다.
The assistant queries several academic databases at once, finds relevant papers across disciplines and pulls out the key findings for you.
Output follows a proper academic structure — abstract, introduction, literature review, methodology, results, discussion and conclusion — rather than a loose summary.
Every claim is tied to real peer-reviewed sources, formatted in Harvard, APA, MLA, Chicago or IEEE to match your target venue.
Choose a standard ~3,000 word research paper or a 10,000+ word thesis/dissertation with full academic scaffolding.
Generate a document and share it publicly or with collaborators, or browse reports other users have published.
Share Deep Research is an AI research assistant that searches major academic databases, synthesizes the findings it retrieves, and drafts structured research reports and papers with real, verifiable citations. It is aimed at students, academics and analysts who need to move quickly from a research question to a well-formed literature review or thesis-length document.
Produce a structured chapter or literature review with real references, then edit it into your own writing before submission.
Generate an evidence-based briefing or systematic overview from peer-reviewed literature for internal or policy use.
Scan and synthesize the academic landscape around a topic to position a new study or identify gaps.
Compile cited market, technology or healthcare research into a client-ready report without manually gathering dozens of papers.
동일한 주요 카테고리에 속한 경쟁 AI 도구의 나란히 보는 텔레메트리 비교
| 순위 | AI 도구 | 월간 방문 수 | 전월 대비 성장률 | 직접 유입 비중 | 가격 | 일대일 비교 |
|---|---|---|---|---|---|---|
| ● | Share Deep Research | 0 | 0% | — | 무료+유료 | 현재 도구 |
| 1 | ThesisAI | 22.44만 | +18.3% | 직접 유입 19% | 유료 | vs ThesisAI |
| 2 | ResearchRabbit | 83.16만 | +3.1% | 직접 유입 45% | 무료 | vs ResearchRabbit |
| 3 | Semantic Scholar | 819.87만 | +5.8% | 직접 유입 23% | 무료 | vs Semantic Scholar |
| 4 | CitedEvidence | 2.47만 | +20.4% | 직접 유입 53% | 유료 | vs CitedEvidence |
| 5 | Perplexity | 8831.02만 | -3.7% | 직접 유입 72% | 무료+유료 | vs Perplexity |
| 6 | ResearchPal | 5.52만 | -5.2% | 직접 유입 41% | 무료+유료 | vs ResearchPal |

ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.
ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.

Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
3억 편 이상의 실제 학술 논문으로 인용과 DOI 검증을 거친 연구 보고서 생성
실시간 웹 인용과 프런티어 추론 모델을 결합한 실시간 AI 답변 엔진이자 리서치 워크스페이스.

ResearchPal is an AI research workspace that searches academic sources, generates citation-backed literature reviews, answers questions from your own PDFs, and helps draft and polish scholarly writing.
ResearchPal is an AI research workspace that searches academic sources, generates citation-backed literature reviews, answers questions from your own PDFs, and helps draft and polish scholarly writing.
학술 문헌을 시각적 관계 그래프로 탐색
Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
실제 문헌과 자동 인용을 갖춘 AI 학술 집필 도구
Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
연구용 AI 도구와 전문가 출판 서비스를 한곳에서