getcountは、現代の会計事務所や意欲的なビジネス向けに設計されたAI搭載の会計プラットフォームです。取引の分類、領収書のマッチング、照合といった面倒な作業を自動化します。このオールインワンソリューションには、実務管理、安全な文書保管、請求書発行、統合されたコミュニケーションツールが含まれており、人員を増やすことなく効率を高め、利益を向上させ、財務業務を簡素化することを目指しています。
Keeperは、簿記担当者や会計士向けのオールインワン業務管理ソフトウェアです。QuickBooksやXeroと統合し、ワークフローの合理化、ファイルレビューの自動化、専用ポータルを通じたクライアントコミュニケーションの管理、月次決算の迅速化を実現し、会計事務所の時間の節約と正確性の向上を支援します。
製品概要
getcount 製品概要
getcountは、現代の会計事務所や意欲的なビジネス向けに設計されたAI搭載の会計プラットフォームです。取引の分類、領収書のマッチング、照合といった面倒な作業を自動化します。このオールインワンソリューションには、実務管理、安全な文書保管、請求書発行、統合されたコミュニケーションツールが含まれており、人員を増やすことなく効率を高め、利益を向上させ、財務業務を簡素化することを目指しています。
Keeper 製品概要
Keeperは、簿記担当者や会計士向けのオールインワン業務管理ソフトウェアです。QuickBooksやXeroと統合し、ワークフローの合理化、ファイルレビューの自動化、専用ポータルを通じたクライアントコミュニケーションの管理、月次決算の迅速化を実現し、会計事務所の時間の節約と正確性の向上を支援します。
Detailed feature comparison
| Feature | getcount | Keeper |
|---|---|---|
| 主要カテゴリー | 顧客管理 | 顧客管理 |
| 追加日 | 2025-08-04 | 2025-08-06 |
| 価格 | 有料 | 有料 |
| 公式サイト | getcount.com | keeper.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 | 4.7K | 36.7K |
| 月間成長率 | -23.2% | -1.2% |
| お気に入り | 127 | 136 |
| Details | 詳細を見る | 詳細を見る |
getcount vs Keeper monthly traffic
Compare getcount and Keeper by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the getcount vs Keeper monthly traffic comparison, getcount currently shows 4.7K visits and Keeper shows 36.7K; Keeper has about 7.8 times the visible traffic of getcount, an absolute difference of about 32K 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.
getcount monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 3.8K 月間訪問数
- 2026/1: 4.1K 月間訪問数
- 2026/2: 4.8K 月間訪問数
- 2026/3: 5.4K 月間訪問数
- 2026/4: 6.1K 月間訪問数
- 2026/5: 4.7K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 65.61% | 3.1K |
| 🇳🇿New Zealand | 31.58% | 1.5K |
| 🇮🇳India | 2.81% | 132 |
検索キーワード
Keeper monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 171.5K 月間訪問数
- 2026/1: 89.8K 月間訪問数
- 2026/2: 62.8K 月間訪問数
- 2026/3: 28.5K 月間訪問数
- 2026/4: 37.1K 月間訪問数
- 2026/5: 36.7K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 79.89% | 29.3K |
| 🇵🇭Philippines | 10.08% | 3.7K |
| 🇨🇦Canada | 4.93% | 1.8K |
| 🇮🇳India | 2.9% | 1.1K |
| 🇷🇺Russia | 2.2% | 807 |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 79.63% | 29.2K |
| 参照元 | 18.66% | 6.8K |
| Eメール | 1.71% | 627 |
検索キーワード
Usage comparison
Compare the core capabilities of getcount and Keeper
getcount Core features
Keeper Core features
Use cases
getcount Use cases
Keeper Use cases
getcount vs Keeper:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth getcount vs Keeper comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. getcount is primarily listed under “顧客管理”, while Keeper is primarily listed under “顧客管理”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (getcount: 4.7K; Keeper: 36.7K); Monthly growth (getcount: -23.2%; Keeper: -1.2%); Favorites (getcount: 127; Keeper: 136); Website (getcount: getcount.com; Keeper: keeper.app); Added (getcount: 2025-08-04; Keeper: 2025-08-06). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the getcount vs Keeper monthly traffic comparison, getcount currently shows 4.7K visits and Keeper shows 36.7K; Keeper has about 7.8 times the visible traffic of getcount, an absolute difference of about 32K 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 Keeper 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
getcount and Keeper currently overlap in shared categories: 顧客管理、会計; shared tags: 会計、簿記、財務報告、業務管理. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
getcount's unique categories/tags are 自動化、AI自動化、公認会計士、費用追跡、財務管理、請求書発行、中小企業; Keeper's are タスク管理、1099管理、顧客ポータル、クイックブックス、ワークフロー自動化、Xero. 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
getcount has no verified rating, 0 comments, 127 favorites, and 101 likes;Keeper has no verified rating, 0 comments, 136 favorites, and 115 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate getcount first
Put getcount on the priority trial list when the task aligns with “顧客管理” and especially 自動化、AI自動化、公認会計士、費用追跡、財務管理、請求書発行. This follows recorded positioning and does not imply unlisted capabilities are absent.
getcount also currently records: pricing is paid, product type is website, 4.7K 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 Keeper first
Put Keeper on the priority trial list when the task aligns with “顧客管理” and especially タスク管理、1099管理、顧客ポータル、クイックブックス、ワークフロー自動化、Xero. This follows recorded positioning and does not imply unlisted capabilities are absent.
Keeper also currently records: pricing is paid, product type is website, 36.7K 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.
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 getcount and Keeper, 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.




