ShadowはMac向けのAI会議アシスタントで、会議を自動で文字起こし・要約し、議論を実行可能な成果に変えます。バックグラウンドで動作し、すべての会議を永続的で検索可能な知識資産に変え、オンデバイスでのローカル処理によりプライバシーを重視しています。
製品概要
Shadow 製品概要
ShadowはMac向けのAI会議アシスタントで、会議を自動で文字起こし・要約し、議論を実行可能な成果に変えます。バックグラウンドで動作し、すべての会議を永続的で検索可能な知識資産に変え、オンデバイスでのローカル処理によりプライバシーを重視しています。
Sonnet AI 製品概要
Sonnet AIは、会話を録音、文字起こし、要約するエンドツーエンドの会議アシスタントです。メモ取り、CRM更新、アクションアイテムの生成を自動化し、会議前の参加者情報や会議後の共有可能な要約を提供して、さまざまな専門職の生産性を向上させます。
Detailed feature comparison
| Feature | Shadow | Sonnet AI |
|---|---|---|
| 主要カテゴリー | タスク管理 | CRM |
| 追加日 | 2025-08-12 | 2025-09-11 |
| 価格 | フリーミアム | フリーミアム |
| 公式サイト | www.shadow.do | sonnetai.com |
| 製品タイプ | アプリ | 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 | 23.2K | 10K |
| 月間成長率 | 54.5% | -14.8% |
| お気に入り | 107 | 128 |
| Details | 詳細を見る | 詳細を見る |
Shadow vs Sonnet AI monthly traffic
Compare Shadow and Sonnet AI by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Shadow vs Sonnet AI monthly traffic comparison, Shadow currently shows 23.2K visits and Sonnet AI shows 10K; Shadow has about 2.3 times the visible traffic of Sonnet AI, an absolute difference of about 13.2K 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.
Shadow monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 17.5K 月間訪問数
- 2026/1: 22.2K 月間訪問数
- 2026/2: 16.4K 月間訪問数
- 2026/3: 20.9K 月間訪問数
- 2026/4: 15K 月間訪問数
- 2026/5: 23.2K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 57.74% | 13.4K |
| 🇮🇳India | 13.8% | 3.2K |
| 🇳🇱Netherlands | 13.23% | 3.1K |
| 🇦🇺Australia | 7.65% | 1.8K |
| 🇩🇪Germany | 7.58% | 1.8K |
検索キーワード
Sonnet AI monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 25.7K 月間訪問数
- 2026/1: 9.6K 月間訪問数
- 2026/2: 9.6K 月間訪問数
- 2026/3: 10.9K 月間訪問数
- 2026/4: 11.7K 月間訪問数
- 2026/5: 10K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 51.49% | 5.1K |
| 🇮🇩Indonesia | 15.37% | 1.5K |
| 🇮🇳India | 14.35% | 1.4K |
| 🇨🇦Canada | 10.03% | 1K |
| 🇳🇬Nigeria | 8.76% | 876 |
検索キーワード
Usage comparison
Compare the core capabilities of Shadow and Sonnet AI
Shadow Core features
Sonnet AI Core features
Use cases
Shadow Use cases
Sonnet AI Use cases
Best suited roles
Shadow Best suited roles
Sonnet AI Best suited roles
Shadow vs Sonnet AI:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Shadow vs Sonnet AI comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Shadow is primarily listed under “タスク管理”, while Sonnet AI is primarily listed under “CRM”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Shadow: タスク管理; Sonnet AI: CRM); Product type (Shadow: App; Sonnet AI: Website); Monthly visits (Shadow: 23.2K; Sonnet AI: 10K); Monthly growth (Shadow: 54.5%; Sonnet AI: -14.8%); Favorites (Shadow: 107; Sonnet AI: 128). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Shadow vs Sonnet AI monthly traffic comparison, Shadow currently shows 23.2K visits and Sonnet AI shows 10K; Shadow has about 2.3 times the visible traffic of Sonnet AI, an absolute difference of about 13.2K 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 Shadow 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
Shadow and Sonnet AI currently overlap in shared categories: 会議アシスタント、文字起こし; shared tags: 行動項目、会議アシスタント、会議要約、生産性、文字起こし. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Shadow's unique categories/tags are タスク管理、AIノート、ローカル処理、Macアプリ、プライバシー; Sonnet AI's are CRM、営業支援、AIノートテイカー、会話インテリジェンス、CRM自動化、営業インテリジェンス、ユーザーリサーチ. 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
Shadow has no verified rating, 0 comments, 107 favorites, and 114 likes;Sonnet AI has no verified rating, 0 comments, 128 favorites, and 130 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Shadow first
Put Shadow on the priority trial list when the task aligns with “タスク管理” and especially タスク管理、AIノート、ローカル処理、Macアプリ、プライバシー. This follows recorded positioning and does not imply unlisted capabilities are absent.
Shadow also currently records: pricing is freemium, product type is app, 23.2K 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 Sonnet AI first
Put Sonnet AI on the priority trial list when the task aligns with “CRM” and especially CRM、営業支援、AIノートテイカー、会話インテリジェンス、CRM自動化、営業インテリジェンス, or the users include コンサルタント、カスタマーサポート、創業者、人事マネージャー. This follows recorded positioning and does not imply unlisted capabilities are absent.
Sonnet AI also currently records: pricing is freemium, product type is website, 10K 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 Shadow and Sonnet AI, 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 Shadow and Sonnet AI?
Where does this comparison data come from?
What do unknown fields mean?
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