MakeUGCは、高性能なユーザー生成コンテンツ(UGC)風の動画広告を数分で作成するための主要なAIプラットフォームです。AIによるスクリプト作成、300以上のリアルなAIアバターのライブラリ、多言語のナレーションを組み合わせることで、ブランドやマーケターが注目を集めるコンテンツを生成できるよう支援し、高価なクリエイターや長い制作サイクルを不要にします。
製品概要
MakeUGC 製品概要
MakeUGCは、高性能なユーザー生成コンテンツ(UGC)風の動画広告を数分で作成するための主要なAIプラットフォームです。AIによるスクリプト作成、300以上のリアルなAIアバターのライブラリ、多言語のナレーションを組み合わせることで、ブランドやマーケターが注目を集めるコンテンツを生成できるよう支援し、高価なクリエイターや長い制作サイクルを不要にします。
Postless 製品概要
Postlessは、マーケティングビデオの制作を自動化するAI搭載プラットフォームです。毎日投稿可能なUGCスタイルのコンテンツを生成し、実績のあるテンプレート、バイラルなフック、多様なAIアバターを提供して、ブランドのエンゲージメントと売上を自動で向上させます。
Detailed feature comparison
| Feature | MakeUGC | Postless |
|---|---|---|
| 主要カテゴリー | 広告作成 | ビデオマーケティング |
| 追加日 | 2025-09-20 | 2025-08-13 |
| 価格 | 有料 | 有料 |
| 公式サイト | makeugc.ai | postless.ai |
| 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 | 408.2K | 85 |
| 月間成長率 | 22.4% | -89.2% |
| お気に入り | 86 | 140 |
| Details | 詳細を見る | 詳細を見る |
MakeUGC vs Postless monthly traffic
Compare MakeUGC and Postless by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the MakeUGC vs Postless monthly traffic comparison, MakeUGC currently shows 408.2K visits and Postless shows 85; MakeUGC has about 4,802.7 times the visible traffic of Postless, an absolute difference of about 408.1K 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.
MakeUGC monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 208.3K 月間訪問数
- 2026/1: 282.8K 月間訪問数
- 2026/2: 256.4K 月間訪問数
- 2026/3: 299.8K 月間訪問数
- 2026/4: 333.5K 月間訪問数
- 2026/5: 408.2K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 40.52% | 165.4K |
| 🇧🇷Brazil | 20.22% | 82.5K |
| 🇬🇧United Kingdom | 14.6% | 59.6K |
| 🇦🇺Australia | 13.96% | 57K |
| 🇳🇬Nigeria | 10.7% | 43.7K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 84.6% | 345.4K |
| 参照元 | 12.05% | 49.2K |
| Eメール | 3.35% | 13.7K |
検索キーワード
Postless monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/8: 65 月間訪問数
- 2025/9: 376 月間訪問数
- 2026/2: 0 月間訪問数
- 2026/3: 0 月間訪問数
- 2026/4: 790 月間訪問数
- 2026/5: 85 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 100% | 85 |
検索キーワード
Usage comparison
Compare the core capabilities of MakeUGC and Postless
MakeUGC Core features
Postless Core features
Use cases
MakeUGC Use cases
Postless Use cases
Best suited roles
MakeUGC Best suited roles
Postless Best suited roles
MakeUGC vs Postless:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth MakeUGC vs Postless comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. MakeUGC is primarily listed under “広告作成”, while Postless is primarily listed under “ビデオマーケティング”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (MakeUGC: 広告作成; Postless: ビデオマーケティング); Monthly visits (MakeUGC: 408.2K; Postless: 85); Monthly growth (MakeUGC: 22.4%; Postless: -89.2%); Favorites (MakeUGC: 86; Postless: 140); Website (MakeUGC: makeugc.ai; Postless: postless.ai). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the MakeUGC vs Postless monthly traffic comparison, MakeUGC currently shows 408.2K visits and Postless shows 85; MakeUGC has about 4,802.7 times the visible traffic of Postless, an absolute difference of about 408.1K 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 MakeUGC 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
MakeUGC and Postless currently overlap in shared categories: ビデオマーケティング、コンテンツ作成、動画生成; shared tags: AIアバター、コンテンツ作成、ソーシャルメディアマーケティング、ユーザー生成コンテンツ. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
MakeUGC's unique categories/tags are 広告作成、広告、AI動画生成、デジタルマーケティング、eコマース、スクリプト生成ツール、TikTok広告、動画広告; Postless's are AIビデオ、マーケティングオートメーション、リールマーケティング、短尺動画、TikTokマーケティング、動画生成. 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
MakeUGC has no verified rating, 0 comments, 86 favorites, and 86 likes;Postless has no verified rating, 0 comments, 140 favorites, and 132 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate MakeUGC first
Put MakeUGC on the priority trial list when the task aligns with “広告作成” and especially 広告作成、広告、AI動画生成、デジタルマーケティング、eコマース、スクリプト生成ツール, or the users include 広告代理店、コンテンツクリエイター、デジタル広告主、DTCブランドオーナー. This follows recorded positioning and does not imply unlisted capabilities are absent.
MakeUGC also currently records: pricing is paid, product type is website, 408.2K 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 Postless first
Put Postless on the priority trial list when the task aligns with “ビデオマーケティング” and especially AIビデオ、マーケティングオートメーション、リールマーケティング、短尺動画、TikTokマーケティング、動画生成. This follows recorded positioning and does not imply unlisted capabilities are absent.
Postless also currently records: pricing is paid, product type is website, 85 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 MakeUGC and Postless, 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.




