クイックスタート

This guide covers every Elicit feature:
- はじめる アカウントを作成して、最初の検索を実行してください。
- ノートの使い方 — Chat with papers and build a working research space
- データ抽出ツールの使い方 — Pull key information out of PDFs into a table
- Paper Researcherの使い方 — Turn a research question into a sourced report
- トピックファインダーの使い方 — Map a field before you commit to a research scope
- How to Use Custom Column — Extract any detail you define across every paper
- 研究アラートの使い方 — Get told when additional papers match your topic
- How to Use Medtech — Screen clinical trials and medical evidence faster
- How to Use AI for Consumer — Run market and consumer research on published data
- How to Use Academic Research — Handle a full systematic review end to end
所要時間: 各作品につき5分
このガイドには以下の内容も含まれています。 プロのヒント | よくある間違い | トラブルシューティング | 価格 | 代替案
このガイドを信頼する理由
I’ve used Elicit for eight months across two literature review projects.
Every screen and setting below comes from my own work, not a vendor demo.

Elicit is an AI research アシスタント built on language models that automate research tasks.
It searches over 138 million academic papers using semantic understanding, not keyword matching.
その AIを引き出す research assistant can find relevant papers and pull the data straight out of them.
It can automate research workflows that most people still run by hand.
Most users only ever run a search and stop there.
This guide shows you how to use Elicit properly, feature by feature.
チュートリアルを引き出す
This How to Use Elicit AI tutorial walks through every feature, from your first search to full systematic review workflows.

引き出す
Ask a research 質問 in plain English and get the most relevant papers back in seconds. Elicit reads the PDFs, pulls out key findings with supporting quotes, and cuts systematic review time by up to 80%. Start free — no card needed.
Getting Started with Elicit
いずれかの機能を使用する前に、この初回設定を完了してください。
約3分かかります。
ステップ1:アカウントを作成する
Go to Elicit’s website and click Sign Up.
A free account gives you immediate access to search and basic extraction.
✓ チェックポイント: チェックしてください 受信トレイ 確認メールについて。
Step 2: Open the Home Page
Elicit runs in the browser, so there is nothing to install.
Log in and you land on the home page with a single search bar.
これがその様子です。

✓ チェックポイント: You should see the search bar and your empty library.
ステップ3:最初の検索を実行する
Type a full research question in natural language instead of keywords.
Try something like: does sleep deprivation affect working memory in adults?
✅ 完了: これで、以下のすべての機能をご利用いただけます。
How to Use Elicit Notebook
ノート lets you chat with a set of papers and keep your notes beside the evidence.
以下に、その使用方法をステップごとに説明します。
ステップ1:ノートブックを作成する
Open Notebook from the sidebar and give your project a short description.
Step 2: Add Papers
Pull results from a search, or upload PDFs you already have on file.
これがその様子です。

✓ チェックポイント: Your papers appear in a list with an AI summary beside each one.
ステップ3:質問をする
Use the chat box to ask what the papers agree on and where they conflict.
✅ 結果: A working research space where every answer links back to a source.
💡 プロのヒント: Keep one notebook per research question. Mixed topics make the chat vague and less useful.
How to Use Elicit Data Extractor
データ Extractor lets you pull key information out of PDFs into a clean, sortable table.
以下に、その使用方法をステップごとに説明します。
Step 1: Upload PDFs
Drag your PDFs into the extractor, or select papers already saved in your library.
Step 2: Pick Your Fields
Choose sample size, methods and materials, outcome measures, or the conclusion.
これがその様子です。

✓ チェックポイント: Each row is one paper and each column is one extracted field.
Step 3: Check the Quotes
Click any cell to see the supporting quotes Elicit pulled from the paper.
✅ 結果: Extracting data from twenty papers now takes minutes instead of an afternoon.
💡 プロのヒント: Elicit hits 94-99% accuracy on empirical research, but always spot-check the numbers you plan to publish.
How to Use Elicit Paper Researcher
論文研究者 lets you turn one research question into a sourced report you can actually cite.
以下に、その使用方法をステップごとに説明します。
ステップ1:質問を入力してください
Write the question as a sentence so the AIアシスタント understands intent, not keywords.
Step 2: Set the Scope
Tell it how deep to go — a quick answer or a full literature review.
これがその様子です。

✓ チェックポイント: A structured report with inline references to every paper used.
ステップ3:レポートを読む
Elicit writes research reports that synthesise evidence across dozens of academic papers.
✅ 結果: A 10+ page literature review draft built from real sources, not invented ones.
💡 プロのヒント: Ask follow-up questions inside the same report. Elicit keeps your earlier context and builds on it.
How to Use Elicit Topic Finder
トピックファインダー lets you map a field visually before you commit to a narrow research question.
以下に、その使用方法をステップごとに説明します。
ステップ1:大まかなトピックを入力する
Start wide. Type the general area you want to explore, not your final question.
Step 2: Browse the Clusters
Elicit groups related papers so you can see which sub-topics are crowded.
これがその様子です。

✓ チェックポイント: A visual map of sub-topics with paper counts beside each one.
Step 3: Pick Your Angle
Choose a cluster with real evidence but few reviews, then narrow your search there.
✅ 結果: A defensible research scope chosen from data instead of guesswork. You discover gaps 早い and focus your reading.
💡 プロのヒント: Use Topic Finder before your proposal. It surfaces gaps that a plain search will never show you.
How to Add Elicit Custom Column
カスタム列 lets you extract any detail you define across every paper in your results.
以下に、その使用方法をステップごとに説明します。
Step 1: Click Add Column
Open your results table and choose the option to create a new column.
Step 2: Write the Description
Describe exactly what to extract, such as funding source or dropout rate.
これがその様子です。

✓ チェックポイント: A new column filled in across every paper in the table.
Step 3: Review Every Row
Scan the column and correct anything wrong — you can manually override any cell.
✅ 結果: Custom fields no reference manager gives you, ready to analyze in one pass.
💡 プロのヒント: Phrase the column description as a question. Vague labels give vague answers.
How to Use Elicit Research Alerts
研究速報 lets you get told when additional papers match a topic you already searched.
以下に、その使用方法をステップごとに説明します。
Step 1: Save a Search
Run your search, then save it so Elicit remembers the exact query.
Step 2: Turn On Alerts
Enable the alert toggle and choose how often you want to hear about new work.
これがその様子です。

✓ チェックポイント: A confirmation that the alert is active on that saved search.
Step 3: Triage the Email
Open each alert and send anything relevant straight to your Elicit library.
✅ 結果: New papers reach you without you running the same search every week.
💡 プロのヒント: Set alerts on your two or three core questions only. More than that and you stop reading them.
How to Use Elicit Medtech
Medtech lets you screen clinical trials and medical evidence far faster than by hand.
以下に、その使用方法をステップごとに説明します。
Step 1: Filter by Study Type
Restrict results to randomised trials, cohort studies, or meta-analyses.
Step 2: Add Screening Criteria
Write your inclusion and exclusion rules so Elicit can screen titles and abstracts.
これがその様子です。

✓ チェックポイント: Screened papers marked include or exclude with a reason attached.
Step 3: Export the Set
Send the included papers to CSV, BibTeX, or RIS for your reference manager.
✅ 結果: Automated screening that can cut up to 80% of manual screening time.
💡 プロのヒント: Always read the excluded pile once. A single bad criterion can drop the trial your review needs.
How to Use Elicit AI for Consumer
AI for Consumer lets you run market and consumer research against published academic evidence.
以下に、その使用方法をステップごとに説明します。
Step 1: Frame the Business Question
Ask about behaviour, not products — pricing sensitivity or habit formation, for example.
Step 2: Filter by Date
Limit results to recent years so your insights reflect current consumer behaviour.
これがその様子です。

✓ チェックポイント: A ranked set of studies with plain-language summaries beside each.
Step 3: Summarise the Findings
Have Elicit summarize the key findings into a short brief for your team.
✅ 結果: Claims backed by peer-reviewed evidence instead of a competitor blog post.
💡 プロのヒント: Search the underlying behaviour rather than your industry. The best evidence usually sits in another field.
How to Use Elicit Academic Researcher
Academic Research lets you run a full systematic review from first search to final data table.
以下に、その使用方法をステップごとに説明します。
Step 1: Start the Workflow
Open the Systematic Review workflow and enter your protocol question.
Step 2: Screen and Extract
Work through screening, then extract your outcome data into columns.
これがその様子です。

✓ チェックポイント: A step-by-step checklist showing which stage you are on.
Step 3: Export Everything
Download the table and references, then write your synthesis around them.
✅ 結果: A systematic review that took weeks now takes days, with the audit trail intact.
💡 プロのヒント: Elicit can save researchers up to five hours a week here. Log your search dates as you go.
Elicit Pro Tips and Shortcuts
After eight months of using Elicit daily, these are the habits that save time on every project.
The first one is simple: let it summarize long articles before you decide to read them.
キーボードショートカット
| アクション | ショートカット |
|---|---|
| 新しい検索 | Ctrl / Cmd + K |
| Save paper to library | S |
| Open chat panel | Ctrl / Cmd + J |
| Close a paper view | ESC |
ほとんどの人が見逃す隠れた機能
- Load more results: Find Papers shows a first page only. Keep loading to reach 100 papers.
- Elicit’s content sources: Search draws on Semantic Scholar, so open access coverage is wider than you expect.
- Citation count filters: Filter by publication date, study type, and citations to tighten a messy result set.
- Export to RIS: Push references into Zotero or EndNote instead of retyping them by hand.
One more thing worth knowing about how Elicit works.
It ranks by meaning, so it surfaces relevant papers that are not a perfect keyword match.
Here’s my own workflow in practice:

I start broad, filter hard, then extract only the fields my write-up actually needs.
Elicit Common Mistakes to Avoid
Mistake #1: Searching With Keywords
❌ 間違い: Typing “sleep memory adults” like it is a database search.
✅ 右: Ask a full research question in natural language and let the AI research assistant read intent.
Mistake #2: Trusting Summaries Without Checking
❌ 間違い: Quoting an AI-generated summary straight into your own work.
✅ 右: Open the supporting quotes and verify every claim against the original paper.
Mistake #3: Extracting Everything
❌ 間違い: Adding fifteen columns because the tool makes extracting data easy.
✅ 右: Extract only what your analysis needs. Fewer columns means fewer errors to check.
Elicit Troubleshooting
Problem: Search Returns Off-Topic Papers
原因: Your question is too broad or mixes two separate ideas.
修理: Split it into two questions and add a date filter to narrow the scope.
Problem: A Column Comes Back Empty
原因: The papers genuinely do not report that field, or your description was ambiguous.
修理: Rewrite the column as a direct question, then manually override the rows you can fill yourself.
Problem: A PDF Will Not Process
原因: Scanned PDFs without a 文章 layer cannot be read by any AI assistant.
修理: Run the file through OCR first, then upload it again.
📌 注記: If none of these fix your issue, contact Elicit support.
Elicit とは何ですか?
引き出す is an AI research assistant that automates the slow parts of the research process.
Think of it like a research assistant who has already read every paper in your field.
こちらの簡単な概要をご覧ください。
The video walks through the interface before we get into the detail.
Elicit uses artificial intelligence to find papers, rank them, and pull data out of them.
主な機能は以下のとおりです。
- ノート: Chat with a set of papers and keep your notes beside the evidence
- データ抽出: Pull key information out of PDFs into a clean, sortable table
- 論文研究者: Turn one research question into a sourced report you can actually cite
- トピック検索: Map a field visually before you commit to a narrow research question
- Custom Column: Extract any detail you define across every paper in your results
- 研究速報: Get told when additional papers match a topic you already searched
- Medtech: Screen clinical trials and medical evidence far faster than by hand
- AI for Consumer: Run market and consumer research against published academic evidence
- Academic Research: Run a full systematic review from first search to final data table
詳細なレビューについては、こちらをご覧ください。 Elicit review.

In 2026 it remains the default tool for automating systematic review work and data extraction.
価格設定の引き出し
Here’s what Elicit costs in 2026:
| プラン | 価格 | 最適な用途 |
|---|---|---|
| ベーシック(無料) | $0 | Trying search and light extraction |
| 基本 | $9 | Students running one review at a time |
| 標準 | $12 | Regular literature review work |
| プロ | $19 | Heavy extraction and research reports |
| 企業 | 営業担当者へのお問い合わせ | Labs and teams needing shared access |
無料トライアル: Yes — the free plan runs indefinitely with monthly credit limits.
返金保証: Not advertised, but paid plans cancel at any time.

💰 最もお得な価格: Pro — the extraction credits are what make the tool pay for itself.
引き出すことと代替案
How does Elicit compare? Here’s the competitive landscape:
| 道具 | 最適な用途 | 価格 | 評価 |
|---|---|---|---|
| 引き出す | Data extraction at scale | 月額9ドル | ⭐ 4.3 |
| コンセンサス | Fast yes/no answers | 月額8.99ドル | ⭐ 4.4 |
| サイト | 引用の文脈 | 月額20ドル | ⭐ 4.2 |
| サイスペース | Reading dense PDFs | 月額12ドル | ⭐ 4.1 |
| 研究用ウサギ | Citation mapping | 無料 | ⭐ 4.3 |
| セマンティックスカラー | Open paper search | 無料 | ⭐ 4.4 |
| 関連論文 | Visual field maps | 月額6ドル | ⭐ 4.0 |
| 困惑 | General research chat | 月額20ドル | ⭐ 4.5 |
| Litmaps | Tracking new work | 月額10ドル | ⭐ 4.0 |
Most research tools stop at search, which is where the real comparison starts.
おすすめ商品:
- 総合ベスト: Elicit — nothing else extracts structured data across papers this well
- ベスト予算: Semantic Scholar — free access to the same underlying paper index
- 初心者におすすめ: Consensus — one question, one answer, no setup
- Best for systematic review: Elicit — the screening workflow is built for it
🎯 代替案を引き出す
Looking for Elicit alternatives? Here are the top options:
- 🚀 コンセンサス: Answers a research question in one line, then shows the studies behind it. Faster than Elicit for quick checks.
- 💰 セマンティック・スカラー: Free academic search across the same corpus Elicit draws on. No extraction, but excellent coverage.
- 🎨 関連論文: Builds a visual graph of related work from one seed paper. Good for finding what you missed.
- ⚡ サイスペース: Explains dense passages line by line while you read. Strong on making hard papers make sense.
- 🔒 引用元: Shows whether later work supports or disputes a claim. Useful for judging how solid the evidence is.
- 🧠 困惑: General AI assistant with academic search built in. Broader scope, less depth on empirical research.
- 👶 研究用ウサギ: Free citation explorer with a gentle learning curve. Great first tool for new researchers.
- 📊 Litmaps: Tracks a topic over time and mails you additional papers. Similar idea to research alerts.
全リストについては、こちらをご覧ください。 代替案を引き出す ガイド。
⚔️ 引き出す比較
Elicitが各競合他社と比べてどうなのか、以下に示します。
- 引き出し vs. 合意形成: Consensus wins on speed. Elicit wins the moment you need a table of extracted data.
- ElicitとSemantic Scholarの比較: Semantic Scholar is free search only. Elicit reads the papers and summarises them for you.
- 引き出す論文と関連する論文: Connected Papers maps relationships. Elicit answers the question and extracts key findings.
- Elicit vs SciSpace: SciSpace is better for reading one paper. Elicit is better across a hundred.
- Elicit vs Scite: Scite judges claim reliability. Elicit finds the papers and builds research reports around them.
- 引き出すことと困惑させること: Perplexity covers everything. Elicit stays on academic papers and cites them properly.
- 引き出す方法と調査方法の比較: Research Rabbit is free and visual. Elicit adds extraction and screening that Rabbit lacks.
- Elicit vs Litmaps: Litmaps monitors a field. Elicit does that plus the full systematic review workflow.
Start Using Elicit Now
You learned how to use every major Elicit feature:
- ✅ ノート
- ✅ データ抽出ツール
- ✅ 論文研究者
- ✅ トピック検索
- ✅ Custom Column
- ✅ 研究アラート
- ✅ Medtech
- ✅ AI for Consumer
- ✅ Academic Research
次のステップ: どれか一つの機能を選んで、今すぐ試してみてください。
Most researchers start with Paper Researcher.
It takes less than five minutes to see whether the tool fits your work.
よくある質問
Elicitはどのように使いますか?
Create a free account, type your research question in natural language, then review the ranked papers. Add columns to extract key information, or open Notebook to chat with the results.
Elicitは無料で利用できますか?
Yes. The Basic (Free) plan costs $0 and includes search and limited extraction credits. Paid plans start at $9 and add higher limits for heavier literature review work.
Elicitはどのようにして成果を生み出すのか?
Elicit uses language models and semantic understanding to search over 138 million academic papers. It ranks by meaning, summarises each paper, and shows supporting quotes for every extracted field.
Elicitは研究に適していますか?
Yes, especially for empirical research. It reaches 94-99% accuracy on data extraction and can cut systematic review time by up to 80% when you verify its output.
Elicit とはどのように違うのでしょうか チャットGPT?
Elicit searches a real academic database and cites the papers it used. ChatGPT generates from training data and can invent references, so it is riskier for citation work.













