SEOを革新するAI搭載の対話型プラットフォーム。バックリンク獲得プロセス全体を簡素化・自動化します。シンプルなチャットインターフェースを使い、質の高いリンクプロスペクトを見つけ、パーソナライズされたアウトリーチメールを生成し、効果的なリンクビルディング戦略を策定します。
LinkDRは、高品質な被リンク構築を自動化するAI搭載プラットフォームです。AIエージェントが高オーソリティサイト(DR50+)での掲載先を見つけて確保し、創業者やSEO担当者が手作業のアウトリーチに煩わされることなく検索順位を向上させるのを支援します。マーケットプレイスモデルにより、透明性の高いリンク単位の課金と品質保証を提供します。
製品概要
chatbacklink 製品概要
SEOを革新するAI搭載の対話型プラットフォーム。バックリンク獲得プロセス全体を簡素化・自動化します。シンプルなチャットインターフェースを使い、質の高いリンクプロスペクトを見つけ、パーソナライズされたアウトリーチメールを生成し、効果的なリンクビルディング戦略を策定します。
LinkDR 製品概要
LinkDRは、高品質な被リンク構築を自動化するAI搭載プラットフォームです。AIエージェントが高オーソリティサイト(DR50+)での掲載先を見つけて確保し、創業者やSEO担当者が手作業のアウトリーチに煩わされることなく検索順位を向上させるのを支援します。マーケットプレイスモデルにより、透明性の高いリンク単位の課金と品質保証を提供します。
Detailed feature comparison
| Feature | chatbacklink | LinkDR |
|---|---|---|
| 主要カテゴリー | コンテンツマーケティング | 検索エンジン最適化 |
| 追加日 | 2025-08-05 | 2025-08-12 |
| 価格 | フリーミアム | 有料 |
| 公式サイト | chatbacklink.com | linkdr.com |
| 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 | 3.4K | 5.9K |
| 月間成長率 | 未確認 | -33.7% |
| お気に入り | 136 | 129 |
| Details | 詳細を見る | 詳細を見る |
chatbacklink vs LinkDR monthly traffic
Compare chatbacklink and LinkDR by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the chatbacklink vs LinkDR monthly traffic comparison, chatbacklink currently shows 3.4K visits and LinkDR shows 5.9K; LinkDR has about 1.7 times the visible traffic of chatbacklink, an absolute difference of about 2.5K visits. This reflects visible reach, not feature quality or paid users.
Only LinkDR has complete third-party traffic details; chatbacklink uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
chatbacklink monthly traffic:
Latest traffic
LinkDR monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 4.8K 月間訪問数
- 2026/1: 6.2K 月間訪問数
- 2026/2: 5.8K 月間訪問数
- 2026/3: 9.9K 月間訪問数
- 2026/4: 8.9K 月間訪問数
- 2026/5: 5.9K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 55.89% | 3.3K |
| 🇮🇳India | 20.76% | 1.2K |
| 🇩🇪Germany | 11.83% | 696 |
| 🇻🇳Vietnam | 6.01% | 353 |
| 🇹🇷Turkey | 5.51% | 324 |
検索キーワード
Usage comparison
Compare the core capabilities of chatbacklink and LinkDR
chatbacklink Core features
LinkDR Core features
Use cases
chatbacklink Use cases
LinkDR Use cases
chatbacklink vs LinkDR:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth chatbacklink vs LinkDR comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. chatbacklink is primarily listed under “コンテンツマーケティング”, while LinkDR is primarily listed under “検索エンジン最適化”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (chatbacklink: コンテンツマーケティング; LinkDR: 検索エンジン最適化); Pricing (chatbacklink: Freemium; LinkDR: Paid); Monthly visits (chatbacklink: 3.4K; LinkDR: 5.9K); Favorites (chatbacklink: 136; LinkDR: 129); Website (chatbacklink: chatbacklink.com; LinkDR: linkdr.com). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the chatbacklink vs LinkDR monthly traffic comparison, chatbacklink currently shows 3.4K visits and LinkDR shows 5.9K; LinkDR has about 1.7 times the visible traffic of chatbacklink, an absolute difference of about 2.5K visits. This reflects visible reach, not feature quality or paid users.
Only LinkDR has complete third-party traffic details; chatbacklink uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Product positioning, use cases, and roles
chatbacklink and LinkDR currently overlap in shared categories: 自動化、リンク構築; shared tags: バックリンク、リンク構築、アウトリーチ、SEO. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
chatbacklink's unique categories/tags are コンテンツマーケティング、AIマーケティング、競合分析、デジタルPR、ゲスト投稿; LinkDR's are 検索エンジン最適化、AI SEO、自動化、ドメインオーソリティ、Google ランキング、マーケティング、ランキング. 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
chatbacklink has no verified rating, 0 comments, 136 favorites, and 125 likes;LinkDR has no verified rating, 0 comments, 129 favorites, and 122 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate chatbacklink first
Put chatbacklink on the priority trial list when the task aligns with “コンテンツマーケティング” and especially コンテンツマーケティング、AIマーケティング、競合分析、デジタルPR、ゲスト投稿. This follows recorded positioning and does not imply unlisted capabilities are absent.
chatbacklink also currently records: pricing is freemium, product type is website, 3.4K on-site monthly views, 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 LinkDR first
Put LinkDR on the priority trial list when the task aligns with “検索エンジン最適化” and especially 検索エンジン最適化、AI SEO、自動化、ドメインオーソリティ、Google ランキング、マーケティング. This follows recorded positioning and does not imply unlisted capabilities are absent.
LinkDR also currently records: pricing is paid, product type is website, 5.9K 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.
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 chatbacklink and LinkDR, 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.




