AnswerThis
学術 · 393.7K 月間訪問数
AnswerThisは、学術研究や専門的なリサーチを加速させるために設計されたAI搭載の研究アシスタントです。2億5000万件以上の検証済み研究論文からなる広大なデータベースを検索し、直接的かつ一行ごとの引用付きで、包括的で統合された回答を提供します。文献レビュー、データ分析、学術論文執筆のための一連のツールを提供し、学術的誠実性を維持しながらユーザーの研究時間を最大60%削減します。
製品概要
AnswerThis 製品概要
AnswerThisは、学術研究や専門的なリサーチを加速させるために設計されたAI搭載の研究アシスタントです。2億5000万件以上の検証済み研究論文からなる広大なデータベースを検索し、直接的かつ一行ごとの引用付きで、包括的で統合された回答を提供します。文献レビュー、データ分析、学術論文執筆のための一連のツールを提供し、学術的誠実性を維持しながらユーザーの研究時間を最大60%削減します。
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Consensus 製品概要
Consensusは、科学研究のために設計されたAI搭載の検索エンジンです。2億件以上の査読付き論文を検索し、ユーザーの質問に対して証拠に基づいた統合的な回答を提供します。科学文献から主要な知見を直接抽出することで、研究者、学生、専門家の時間を節約します。
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Detailed feature comparison
| Feature | AnswerThis | Consensus |
|---|---|---|
| 主要カテゴリー | 学術 | 学習 |
| 追加日 | 2025-08-11 | 2025-08-10 |
| 価格 | フリーミアム | フリーミアム |
| 公式サイト | answerthis.io | consensus.app |
| 製品タイプ | ウェブサイト | ウェブサイト |
| Performance data | ||
| ユーザー評価 | 未確認 | 未確認 |
| コメント | 0 | 0 |
| 月間訪問数 | 393.7K | 5.7M |
| 月間成長率 | 1.4% | -2.5% |
| お気に入り | 111 | 98 |
| Details | 詳細を見る | 詳細を見る |
AnswerThis vs Consensus monthly traffic
Compare AnswerThis and Consensus by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the AnswerThis vs Consensus monthly traffic comparison, AnswerThis currently shows 393.7K visits and Consensus shows 5.7M; Consensus has about 14.6 times the visible traffic of AnswerThis, an absolute difference of about 5.3M 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.
AnswerThis monthly traffic:
Latest traffic
月間訪問数
393.7K
平均滞在時間
1:48
訪問あたりページ数
3.3
直帰率
40.15%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 266.9K 月間訪問数
- 2026/1: 481.6K 月間訪問数
- 2026/2: 463K 月間訪問数
- 2026/3: 377K 月間訪問数
- 2026/4: 388.4K 月間訪問数
- 2026/5: 393.7K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 36.7% | 144.5K |
| 🇮🇩Indonesia | 20.3% | 79.9K |
| 🇮🇳India | 20.01% | 78.8K |
| 🇹🇭Thailand | 12.4% | 48.8K |
| 🇪🇹Ethiopia | 10.59% | 41.7K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 78.41% | 308.7K |
| 参照元 | 15.97% | 62.9K |
| Eメール | 5.62% | 22.1K |
検索キーワード
answeranswer thisanswerthisanswer this aianswerthis ai
Consensus monthly traffic:
Latest traffic
月間訪問数
5.7M
平均滞在時間
4:32
訪問あたりページ数
4.37
直帰率
38.7%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 3.5M 月間訪問数
- 2026/1: 3.9M 月間訪問数
- 2026/2: 4M 月間訪問数
- 2026/3: 5.1M 月間訪問数
- 2026/4: 5.9M 月間訪問数
- 2026/5: 5.7M 月間訪問数
主要地域
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 |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 85.92% | 4.9M |
| 参照元 | 12.3% | 706.1K |
| Eメール | 1.78% | 102.2K |
検索キーワード
concensusconsensusconsensus aielicitgoogle scholar
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 AnswerThis and Consensus
AnswerThis Core features
ライティング
文献レビュー
学術
Consensus Core features
ライティング
文献レビュー
学習
医療
Use cases
AnswerThis Use cases
データ分析
文献レビュー
アカデミックライティング
AIライター
引用ジェネレーター
論文要約ツール
研究アシスタント
科学研究
セマンティック検索
Consensus Use cases
データ分析
文献レビュー
学術検索
AI検索エンジン
根拠に基づいた
ファクトチェック
研究
研究者
科学論文
学生
AnswerThis vs Consensus：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth AnswerThis vs Consensus comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. AnswerThis is primarily listed under “学術”, while Consensus is primarily listed under “学習”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (AnswerThis: 学術; Consensus: 学習); Monthly visits (AnswerThis: 393.7K; Consensus: 5.7M); Monthly growth (AnswerThis: 1.4%; Consensus: -2.5%); Favorites (AnswerThis: 111; Consensus: 98); Website (AnswerThis: answerthis.io; Consensus: consensus.app). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the AnswerThis vs Consensus monthly traffic comparison, AnswerThis currently shows 393.7K visits and Consensus shows 5.7M; Consensus has about 14.6 times the visible traffic of AnswerThis, an absolute difference of about 5.3M 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
AnswerThis and Consensus currently overlap in shared categories: ライティング、文献レビュー; shared tags: データ分析、文献レビュー. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
AnswerThis's unique categories/tags are 学術、アカデミックライティング、AIライター、引用ジェネレーター、論文要約ツール、研究アシスタント、科学研究、セマンティック検索; Consensus's are 学習、医療、学術検索、AI検索エンジン、根拠に基づいた、ファクトチェック、研究、研究者. 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
AnswerThis has no verified rating, 0 comments, 111 favorites, and 119 likes；Consensus has no verified rating, 0 comments, 98 favorites, and 90 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate AnswerThis first
Put AnswerThis on the priority trial list when the task aligns with “学術” and especially 学術、アカデミックライティング、AIライター、引用ジェネレーター、論文要約ツール、研究アシスタント. This follows recorded positioning and does not imply unlisted capabilities are absent.
AnswerThis also currently records: pricing is freemium, product type is website, 393.7K 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 Consensus first
Put Consensus on the priority trial list when the task aligns with “学習” and especially 学習、医療、学術検索、AI検索エンジン、根拠に基づいた、ファクトチェック. 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.
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 AnswerThis and Consensus, 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.
比較 FAQ
How should I choose between AnswerThis and Consensus?
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.