Sheet Copilotは、Google Sheets内で直接タスクを自動化し、質問に答えるAI搭載アシスタントです。自然言語コマンドを使用することで、複雑な関数を書くことなく、データのクリーンアップ、数式の生成、要約の作成、情報の分析が可能です。現在ベータ版として無料で提供されており、プライバシーとセキュリティを強化するために独自のOpenAI APIキーを使用して動作します。
Google Sheets上で直接高度なSQLクエリを実行し、洗練されたデータ分析、一括更新、削除、挿入を可能にする強力なツール。スプレッドシートをクエリ可能なデータベースに変換します。
製品概要
Sheet Copilot 製品概要
Sheet Copilotは、Google Sheets内で直接タスクを自動化し、質問に答えるAI搭載アシスタントです。自然言語コマンドを使用することで、複雑な関数を書くことなく、データのクリーンアップ、数式の生成、要約の作成、情報の分析が可能です。現在ベータ版として無料で提供されており、プライバシーとセキュリティを強化するために独自のOpenAI APIキーを使用して動作します。
SheetQuery 製品概要
Google Sheets上で直接高度なSQLクエリを実行し、洗練されたデータ分析、一括更新、削除、挿入を可能にする強力なツール。スプレッドシートをクエリ可能なデータベースに変換します。
Detailed feature comparison
| Feature | Sheet Copilot | SheetQuery |
|---|---|---|
| 主要カテゴリー | 自動化 | データベース |
| 追加日 | 2025-09-02 | 2025-08-11 |
| 価格 | 無料 | 有料 |
| 公式サイト | sheetcopilot.ai | sheetquery.com |
| 製品タイプ | ブラウザ拡張 | ブラウザ拡張 |
| 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 | 6.9K | 643 |
| 月間成長率 | 9.4% | 383.5% |
| お気に入り | 151 | 101 |
| Details | 詳細を見る | 詳細を見る |
Sheet Copilot vs SheetQuery monthly traffic
Compare Sheet Copilot and SheetQuery by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Sheet Copilot vs SheetQuery monthly traffic comparison, Sheet Copilot currently shows 6.9K visits and SheetQuery shows 643; Sheet Copilot has about 10.7 times the visible traffic of SheetQuery, an absolute difference of about 6.2K 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.
Sheet Copilot monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 3.4K 月間訪問数
- 2026/1: 1.2K 月間訪問数
- 2026/2: 6.6K 月間訪問数
- 2026/3: 4.7K 月間訪問数
- 2026/4: 6.3K 月間訪問数
- 2026/5: 6.9K 月間訪問数
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| 参照元 | 100% | 6.9K |
SheetQuery monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/8: 84 月間訪問数
- 2025/9: 349 月間訪問数
- 2026/3: 0 月間訪問数
- 2026/4: 133 月間訪問数
- 2026/5: 643 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇲🇾Malaysia | 91.26% | 587 |
| 🇮🇳India | 8.74% | 56 |
検索キーワード
Usage comparison
Compare the core capabilities of Sheet Copilot and SheetQuery
Sheet Copilot Core features
SheetQuery Core features
Use cases
Sheet Copilot Use cases
SheetQuery Use cases
Best suited roles
Sheet Copilot Best suited roles
SheetQuery Best suited roles
Sheet Copilot vs SheetQuery:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Sheet Copilot vs SheetQuery comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Sheet Copilot is primarily listed under “自動化”, while SheetQuery is primarily listed under “データベース”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Sheet Copilot: 自動化; SheetQuery: データベース); Pricing (Sheet Copilot: Free; SheetQuery: Paid); Monthly visits (Sheet Copilot: 6.9K; SheetQuery: 643); Monthly growth (Sheet Copilot: 9.4%; SheetQuery: 383.5%); Favorites (Sheet Copilot: 151; SheetQuery: 101). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Sheet Copilot vs SheetQuery monthly traffic comparison, Sheet Copilot currently shows 6.9K visits and SheetQuery shows 643; Sheet Copilot has about 10.7 times the visible traffic of SheetQuery, an absolute difference of about 6.2K 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 Sheet Copilot 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
Sheet Copilot and SheetQuery currently overlap in shared categories: スプレッドシート; shared tags: 自動化、データ分析、Google スプレッドシート、スプレッドシート. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Sheet Copilot's unique categories/tags are 自動化、データ分析、AIアシスタント、データクレンジング、数式ジェネレーター、自然言語処理、オープンAI、生産性; SheetQuery's are データベース、API連携、一括更新、データ処理、SQL. 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
Sheet Copilot has no verified rating, 0 comments, 151 favorites, and 144 likes;SheetQuery has no verified rating, 0 comments, 101 favorites, and 99 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Sheet Copilot first
Put Sheet Copilot on the priority trial list when the task aligns with “自動化” and especially 自動化、データ分析、AIアシスタント、データクレンジング、数式ジェネレーター、自然言語処理, or the users include 事業主、データアナリスト、金融アナリスト、人事マネージャー. This follows recorded positioning and does not imply unlisted capabilities are absent.
Sheet Copilot also currently records: pricing is free, product type is browser extension, 6.9K 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 SheetQuery first
Put SheetQuery on the priority trial list when the task aligns with “データベース” and especially データベース、API連携、一括更新、データ処理、SQL. This follows recorded positioning and does not imply unlisted capabilities are absent.
SheetQuery also currently records: pricing is paid, product type is browser extension, 643 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 Sheet Copilot and SheetQuery, 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.




