⚡ 간단 평가:
- 가격: AI를 유도하다 starts free, then $9. Scite has no free tier and starts at $12/month yearly.
- 다음과 같은 경우에 가장 적합합니다: Elicit AI for a literature review and data extraction. Scite for checking evidence behind citations.
- 주요 차이점: Elicit AI helps you find relevant papers. Scite tells you how other papers judged them.
- 저희가 선택한 제품: Elicit AI, because it covers more research tasks in one place.
Two tools keep showing up in academic workflows.
Both promise to save you so much time on a literature review.
But they answer different questions about the same papers.
Elicit AI finds papers and pulls key information out of them.
Scite shows you the context of the citation behind each one.
Here is how to pick the right research 어시스턴트 당신의 노고에 감사드립니다.
개요
This Elicit vs Scite comparison covers pricing, searching features, and daily research workflows.
또한 각 구성원이 누구인지도 분석해 보겠습니다. AI 도구 actually helps.
저희 자료 출처에는 공개된 사양서, 문서 및 공개 사용자 리뷰가 포함됩니다.
저희 필진들은 각 플랫폼을 직접 사용해 보는 시간도 가졌습니다.
해당 내용은 아래 '우리 팀이 발견한 사항' 섹션에 나와 있습니다.
Elicit AI란 무엇인가요?
Elicit AI is a free artificial intelligence research assistant built by Ought.
It automates part of the work researchers do every day.
You type a research question, and the ai tool surfaces top papers in that field.
Elicit uses language models to read each paper and extract key information.
It pulls publications from Semantic Scholar and PubMed, so the sources stay verifiable.
Semantic search matches intent, not just a perfect keyword match.
That helps you find relevant papers even when your wording differs from theirs.
Here is where to start if you want to try it yourself.
🏆 Winner: Elicit AI
Screen thousands of papers against your own criteria. Extract key information into a table you can sort.
AI 가격 책정
Here is what Elicit AI costs in 2026. Let’s break it down.
| 계획 | 가격 | 가장 적합한 대상 |
|---|---|---|
| 기본 (무료) | $0 | Trying the search and abstract summary tools |
| 기초적인 | $9 | Students running a first literature review |
| 기준 | $12 | Regular data extraction across many papers |
| 찬성 | $19 | Systematic reviews and heavy screening |
| 기업 | 영업 담당자에게 문의하세요. | Labs and institutions with shared libraries |
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무료 체험: The Basic (Free) tier works as an open-ended trial. No card is needed to create an account.
환불 보장: No published refund window. Cancel before renewal to avoid the next charge.
📌 메모: Elicit AI runs on a freemium model. Higher tiers raise your data extraction limits rather than unlocking a different product.
⚠️ Pricing conflict: Some guides still describe Elicit as fully free after signup. Our CSV records five tiers, from $0 up to $19 plus Enterprise. We list the CSV figures above and flag the difference here.
Key Benefits of Elicit AI
Here is what makes Elicit AI worth considering:
- Screening at scale: Elicit screens thousands of papers against your inclusion and exclusion criteria. It also shows a rationale for each decision.
- Structured tables: It organises study details, interventions, outcomes, and populations into rows. That format suits systematic reviews better than a narrative reply.
- Sentence-level citations: Every claim links back to a specific sentence in the source. This guards against hallucinated references.
- Elicit Reports: The report feature runs rapid reviews and drafts a 10+ page literature review. You still edit it, but the skeleton is there.
- Citation managers: Zotero and EndNote both import and export directly. Your existing library moves across without retyping.
- Question support: It brainstorms research questions, suggests search terms, and offers alternate questions when a search stalls.
- Gap spotting: Elicit helps identify research gaps and future study opportunities. That matters when you are scoping a thesis.
우리 팀이 발견한 점
Our writer signed up for Elicit AI and spent several days running real literature searches. Here is what stood out from that hands-on time:
Elicit AI Pros & Cons
✅ 장점
- Free tier lets you test the searching features before paying
- Pulls from Semantic Scholar and PubMed rather than the open web
- Extracts sample size and methodology into a sortable table
- Sentence-level citations make every claim checkable
- Simple interface that needs almost no training
❌ 단점
- Does not label whether a citing paper agrees or disagrees
- Extraction limits on lower tiers cap large projects
- Coverage thins outside medicine and the sciences
- No browser extension for reading papers elsewhere
Scite란 무엇인가요?
Scite helps researchers discover and understand research articles through Smart Citations.
A raw citation count tells you a paper was cited. It does not tell you why.
Smart Citations show the context of the citation and a classification describing the intent.
Each citing paper is tagged as supporting, contrasting, or mentioning evidence.
Here is how scite works under the hood.
It processes full-text scientific literature and applies a deep learning model to each citation statement.
Over 1 billion citation statements have been analysed and indexed this way.
Here is the quickest way to see the evidence labels in action.
Runner Up: Scite
See whether a scientific article provides supporting or contrasting evidence. Check your own references before you submit.
사이트 가격
Scite keeps its pricing short. There are two ways to pay.
| 계획 | 가격 | 가장 적합한 대상 |
|---|---|---|
| 월간 플랜 | $20 | Short projects and one-off reference checks |
| 연간 플랜 | 월 12달러 | Researchers who cite and publish year round |
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무료 체험: No free tier is listed in our pricing data. Some search results and badges stay visible without an account.
환불 보장: No published refund window. Cancel inside your account before the renewal date.
📌 메모: The yearly plan is billed up front. It works out $8 per month cheaper than paying monthly.
⚠️ 경고: Several users have reported problems with billing and subscription renewals. Set a calendar reminder before your renewal date.
Key Benefits of Scite
Here is what makes Scite worth considering:
- Evidence labels: Every citing paper is sorted into supporting, contrasting, or mentioning. You see disagreement instead of guessing at it.
- Retraction flags: Scite marks publications that were retracted or corrected. That adds a credibility check before you cite.
- 신원 조회: Upload a manuscript and scite verifies whether your sources were retracted, disputed, or given editorial notices.
- Browser extension: Scite badges appear on Google Scholar and PubMed, so smart citation counts show while you search.
- 맞춤형 대시보드: Track a topic, a journal, or your own work. Email alerts tell you when new evidence lands.
- Structured insights: It extracts PICO terms or named biomarkers into tables you can adjust.
- API 접근 권한: Teams can pipe citation data into their own systems and internal resources.
우리 팀이 발견한 점
Our writer used Scite while checking references on a draft paper. Here is what that hands-on session showed:
Scite Pros & Cons
✅ 장점
- Shows the actual 텍스트 around each citation, not just a count
- Flags retracted and corrected publications before you cite them
- Reviewers praise the user-friendly design
- Browser extension works on Google Scholar and PubMed
❌ 단점
- No free plan in our pricing data
- Some users reported accuracy problems with the search engine
- Reports exist of fabricated quotes and nonexistent sources
- Billing and renewal complaints appear in reviews
기능 비교
These two platforms overlap less than their marketing suggests. We compared ten areas that decide which one belongs in your workflow.
| 특징 | AI를 유도하다 | 사이트 |
|---|---|---|
| 시작 가격 | $0 (Basic Free) | $12/month yearly |
| 무료 플랜 | ✅ | ❌ |
| Semantic Paper Search | ✅ | ✅ |
| 스마트 인용 | ❌ | ✅ |
| Data Extraction Tables | ✅ | ✅ |
| Automated Literature Review | ✅ | ❌ |
| Retraction Flags | ❌ | ✅ |
| 브라우저 확장 프로그램 | ❌ | ✅ |
| Citation Manager Import | ✅ | ❌ |
| 가장 적합한 대상 | Finding and summarising papers | Judging evidence and references |
1. Paper Discovery and Search
AI를 유도하다: You enter a question and Elicit tries to identify the top papers in the field. Semantic search reads intent, so you find relevant papers without hunting for the exact phrasing an author used.
사이트: Search here starts from the citation graph rather than the abstract. That is useful for finding related work, though some users reported accuracy problems with the search engine itself.
2. Citation Context and Evidence
AI를 유도하다: Claims link back to a specific sentence in the source paper. That keeps the ai research assistant honest, but it does not tell you whether later work agreed.
사이트: This is the core strength. Each Smart Citation provides supporting or contrasting evidence labels, plus the sentence where the citing paper made its point. Contrasting evidence is the signal most tools hide.
3. Data Extraction and Tables
AI를 유도하다: It pulls sample size, methodology, and outcomes from hundreds of research articles into one table. You can filter an abstract summary by intervention, outcome, or population.
사이트: Structured insights extract PICO terms or named biomarkers into adjustable tables. The output leans toward citation quality rather than study design.
4. Literature Review Automation
AI를 유도하다: Elicit Reports run a rapid review end to end and produce a 10+ page draft. Nothing else here comes close for a first-pass literature review.
사이트: There is no drafting step. Scite gives you deeper context than citation counts so you can conduct the review yourself with better judgement.
5. Seed Articles and Topic Discovery
AI를 유도하다: Topic Finder helps you find seed articles and build outward from them. Older guides describe Elicit as a way to locate seed articles and mine subject headings before a formal search.
사이트: Citation chaining does this job instead. Forward chaining finds newer work citing your source, and backward chaining checks the quality of a paper’s own references.
6. Screening and Custom Columns
AI를 유도하다: Custom Column lets you define your own extraction field across a whole set of papers. Screening runs against your inclusion criteria and shows the thought process behind each include or exclude call.
사이트: Filtering leans on funder, journal, and institution data rather than study criteria. Useful for mapping a field, less useful for screening a systematic review.
7. Alerts and Research Tracking
AI를 유도하다: Research Alerts watch a saved question and flag new papers. The alerts sit inside the same workspace as your tables.
사이트: Personalised dashboards track literature relating to your interests. Email alerts tell you when someone cites your work and whether they agreed. The browser extension surfaces the same data while you read online.
8. Subject Coverage and Access
AI를 유도하다: Medical and life sciences coverage is strongest, since PubMed and Semantic Scholar sit underneath. Open access papers are easiest to work with, and paywalled content is limited to what the abstract carries.
사이트: Full-text processing spans publisher agreements, so it reaches into academic articles that sit behind a paywall. Coverage of a given scientific article depends on whether the publisher shares full text.
9. 사용 편의성 및 학습 곡선
AI를 유도하다: The interface is simple and does not require a lot of training. Students get answers on day one, which is why it spreads through labs quickly.
사이트: Customers appreciate the user-friendly design, and reviewers call the dashboards easy to read. The concept of a citation classification takes a session or two to click.
⚠️ 경고: Neither tool replaces reading. Users have reported fabricated quotes and nonexistent sources on Scite, so verify anything you plan to cite.
10. 가격 및 비용
두 계획을 나란히 비교해 봅시다.
| 계획 | AI를 유도하다 | 사이트 |
|---|---|---|
| 무료 | Basic (Free): $0 | ❌ |
| 입장료 지불됨 | Basic: $9 | Yearly Plan: $12/month |
| 중급 | Standard: $12 | Monthly plan: $20 |
| 최상위 | Pro: $19 | ❌ |
| 관습 | 기업: 영업팀에 문의 | ❌ |
AI를 유도하다: Five tiers give you room to grow. The free plan is enough to test the searching features, and $9 covers a 학생 running one review.
사이트: Two options, both paid. At $12/month on the yearly plan you get the full product, which is simpler than tier-hunting but harder to trial.
다양한 시나리오
| 필요하시면 | 선택하다 | 왜 |
|---|---|---|
| 무료 시작점 | AI를 유도하다 | Basic (Free) tier at $0 |
| To screen hundreds of papers | AI를 유도하다 | Criteria screening with rationale |
| To judge disputed findings | 사이트 | Supporting vs contrasting labels |
| To check your own references | 사이트 | Reference Check on manuscripts |
| A drafted review | AI를 유도하다 | Elicit Reports write 10+ pages |
| 초보자에게 친숙한 설정 | AI를 유도하다 | Almost no training needed |
💰 예산
Elicit AI costs nothing to start and $9 for its first paid step. Scite asks for $12/month on the yearly plan before you see anything.
🔌 사용 중인 기술 스택
Elicit AI connects to citation managers like Zotero and EndNote for import and export. Scite offers API access plus a browser extension that follows you across other resources.
📝 Your Research Style
If you are still answering questions about what exists, start with Elicit AI. If you already have a pile of research and need to weigh the evidence, Scite fits better.
🎓 귀하의 경험 수준
Undergraduates and independent researchers get moving faster on Elicit AI. Scite rewards people who already understand how a citing paper can misrepresent its source.
🆓 무료 체험 및 데모
Only Elicit AI lets you test properly without paying. With Scite, budget one month at $20 before you commit to a year.
🛟 지원 옵션
Both run email support with documentation behind it. Scite reviews mention billing issues more often, so keep your receipts.
전환 가이드
Already using one of these? Here is what changes if you move.
🔄 Switching from Elicit AI to Scite?
✅ 얻게 될 이점:
- Evidence labels that describe how each citing paper used a source
- Retraction and correction flags before you cite a publication
- A reference check that audits a finished manuscript
❌ 잃게 될 것:
- The free tier, since Scite has no $0 plan
- Automated report drafting for a literature review
- Zotero and EndNote import and export
📋 전환 방법:
- Export your Elicit tables and saved papers to your citation manager
- Start a Scite monthly plan and install the browser extension
- Rebuild your saved topics as dashboards and turn on email alerts
🔄 Switching from Scite to Elicit AI?
✅ 얻게 될 이점:
- A free plan you can keep using indefinitely
- Extraction tables built for systematic reviews
- Drafted reviews that shortcut the blank page when writing papers
❌ 잃게 될 것:
- Smart Citations and the context behind every reference
- Retraction alerts on papers you already cite
- The browser extension and its Google Scholar badges
📋 전환 방법:
- Export your Scite dashboards and reference lists
- Create a free Elicit AI account and connect Zotero or EndNote
- Re-enter your research questions and rebuild your extraction columns
저희 리뷰에서 다루지 않은 내용
This comparison focused on individual researchers and small labs. We did not test institutional licensing, the Scite API at scale, or how either platform handles non-English literature. Our notes reflect the July 2026 versions, and both products change often. If your work sits outside medicine and the sciences, coverage may look thinner than we describe here.
최종 판결
| 범주 | 우승자 |
|---|---|
| 💰 가격 | AI를 유도하다 |
| 🔍 Paper Discovery | AI를 유도하다 |
| 🧾 Citation Context | 사이트 |
| Loading... | AI를 유도하다 |
| 📝 Review 오토메이션 | AI를 유도하다 |
| 🔔 Alerts and Tracking | 사이트 |
| 🌐 Full-Text Access | 사이트 |
| 👶 사용 편의성 | AI를 유도하다 |
| 🏆 종합 우승 | AI를 유도하다 |
🏆 WINNER: ELICIT AI
Elicit AI wins 5 out of 8 categories.
다음과 같은 경우에 가장 적합합니다: systematic reviews, thesis scoping, and answering questions across a large body of literature
These are two different products aimed at two stages of the same job. Elicit AI sits at the front end, where you still need to find and sort papers.
Scite sits at the back end, where you already have a research paper in hand and need to know whether the field agreed with it. For that specific job, many reviewers call it indispensable.
Elicit AI takes the win because it covers more ground. It handles discovery, extraction, drafting, and other research tasks that Scite never attempts.
If your goal is to automate research workflows like screening and summarising, start with the free plan. If your goal is evidence quality, Scite earns its $12/month.
More of Elicit AI Compared
Here is how Elicit AI stacks up against other research tools:
Elicit AI vs 사이스페이스
Elicit AI wins on: criteria-based screening with a stated rationale, extraction tables built for systematic reviews, sentence-level source linking
Loading... chatting with a single PDF, plain-language explanation of dense passages, broader coverage outside the sciences
Elicit AI vs 페이퍼팔
Elicit AI wins on: discovery across Semantic Scholar and PubMed, structured data extraction, a $0 entry tier
Paperpal이 다음에서 승리했습니다: academic language editing, submission-readiness checks, Microsoft Word integration for drafting
Elicit AI vs 제니
Elicit AI wins on: screening volume, evidence tables you can filter, research question 브레인스토밍
제니는 다음에서 승리합니다: in-line writing assistance, autocomplete while you draft, formatting citations as you type
More of Scite Compared
Here is how Scite stacks up against other tools researchers consider:
Scite vs 페이퍼가이드
Scite wins on: citation classification at scale, retraction flags, dashboards that track a field over time
PaperGuide wins on: note-taking around saved papers, a free entry point, lighter setup for coursework
Scite vs 퀼봇
Scite wins on: evidence context behind a reference, manuscript reference 감사, publisher full-text depth
QuillBot이 승리한 항목: paraphrasing and rewriting, grammar correction, a usable free tier for students
Scite vs 요무
Scite wins on: the size of its indexed citation database, browser badges on Google Scholar, API access for teams
Yomu는 다음에서 승리합니다: guided 수필 structuring, an editor built for students, cheaper monthly entry
자주 묻는 질문
Elicit AI는 무엇을 하는 앱인가요?
It searches academic databases, screens papers against your criteria, and pulls findings into tables. You ask a question, and it returns papers with the details extracted.
Elicit AI의 무료 버전이 있나요?
Yes. Our pricing data lists a Basic (Free) tier at $0. Paid plans start at $9 and raise your extraction limits.
scite는 무엇에 사용되나요?
It shows how other papers cited a source and whether they supported or disputed it. Researchers use it to check references and spot retractions.
What is the difference between Scite AI and 챗GPT?
One reads real citation statements from published literature. The other generates text from training data and can invent references, so it needs verification.
Elicit은 연구에 유용한가요?
Yes, especially for reviews in medicine and the sciences. Coverage thins in humanities fields, and you still need to read the papers it surfaces.
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