GPTExcelは、スプレッドシートのワークフローを革新するAI搭載アシスタントです。自然言語から複雑な数式、自動化スクリプト(VBA、Apps Script)、SQLクエリ、正規表現を生成します。また、ユーザーがデータとチャットしたり、画像をテーブルに変換したり、グラフを作成したり、詳細なデータ分析を行ったりすることを可能にし、Excel、Google Sheets、Airtableなどのプラットフォームをサポートします。
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
GPTExcel 製品概要
GPTExcelは、スプレッドシートのワークフローを革新するAI搭載アシスタントです。自然言語から複雑な数式、自動化スクリプト(VBA、Apps Script)、SQLクエリ、正規表現を生成します。また、ユーザーがデータとチャットしたり、画像をテーブルに変換したり、グラフを作成したり、詳細なデータ分析を行ったりすることを可能にし、Excel、Google Sheets、Airtableなどのプラットフォームをサポートします。
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 | GPTExcel | SheetQuery |
|---|---|---|
| 主要カテゴリー | SQL | データベース |
| 追加日 | 2025-08-06 | 2025-08-11 |
| 価格 | フリーミアム | 有料 |
| 公式サイト | gptexcel.uk | sheetquery.com |
| 製品タイプ | ウェブサイト | 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 | 245K | 643 |
| 月間成長率 | -11.1% | 383.5% |
| お気に入り | 109 | 101 |
| Details | 詳細を見る | 詳細を見る |
GPTExcel vs SheetQuery monthly traffic
Compare GPTExcel and SheetQuery by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the GPTExcel vs SheetQuery monthly traffic comparison, GPTExcel currently shows 245K visits and SheetQuery shows 643; GPTExcel has about 381 times the visible traffic of SheetQuery, an absolute difference of about 244.4K 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.
GPTExcel monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 317.9K 月間訪問数
- 2026/1: 374.2K 月間訪問数
- 2026/2: 281.3K 月間訪問数
- 2026/3: 276.7K 月間訪問数
- 2026/4: 275.5K 月間訪問数
- 2026/5: 245K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 29.71% | 72.8K |
| 🇺🇸United States | 21.77% | 53.3K |
| 🇮🇩Indonesia | 19.05% | 46.7K |
| 🇧🇷Brazil | 16.11% | 39.5K |
| 🇮🇹Italy | 13.36% | 32.7K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 70.86% | 173.6K |
| 参照元 | 26.3% | 64.4K |
| Eメール | 2.84% | 7K |
検索キーワード
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 GPTExcel and SheetQuery
GPTExcel Core features
SheetQuery Core features
Use cases
GPTExcel Use cases
SheetQuery Use cases
GPTExcel vs SheetQuery:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth GPTExcel vs SheetQuery comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. GPTExcel is primarily listed under “SQL”, 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 (GPTExcel: SQL; SheetQuery: データベース); Product type (GPTExcel: Website; SheetQuery: Browser extension); Pricing (GPTExcel: Freemium; SheetQuery: Paid); Monthly visits (GPTExcel: 245K; SheetQuery: 643); Monthly growth (GPTExcel: -11.1%; SheetQuery: 383.5%). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the GPTExcel vs SheetQuery monthly traffic comparison, GPTExcel currently shows 245K visits and SheetQuery shows 643; GPTExcel has about 381 times the visible traffic of SheetQuery, an absolute difference of about 244.4K 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 GPTExcel 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
GPTExcel 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.
GPTExcel's unique categories/tags are SQL、自動化、エアテーブル、Excel、数式ジェネレーター、正規表現ジェネレーター、SQLクエリ、VBAスクリプト; 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
GPTExcel has no verified rating, 0 comments, 109 favorites, and 97 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 GPTExcel first
Put GPTExcel on the priority trial list when the task aligns with “SQL” and especially SQL、自動化、エアテーブル、Excel、数式ジェネレーター、正規表現ジェネレーター. This follows recorded positioning and does not imply unlisted capabilities are absent.
GPTExcel also currently records: pricing is freemium, product type is website, 245K 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 GPTExcel 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.




