SEO를 혁신하는 AI 기반 대화형 플랫폼으로, 전체 백링크 확보 프로세스를 단순화하고 자동화합니다. 간단한 채팅 인터페이스를 사용하여 고품질 링크 잠재 고객을 찾고, 개인화된 아웃리치 이메일을 생성하며, 효과적인 링크 빌딩 전략을 개발하세요.
LinkDR은 고품질 백링크 구축을 자동화하는 AI 기반 플랫폼입니다. AI 에이전트를 사용하여 권위 있는 사이트(DR50+)에서 게재 위치를 찾아 확보함으로써, 창업자와 SEO 전문가가 수동적인 아웃리치의 수고 없이 검색 순위를 향상시킬 수 있도록 돕습니다. 마켓플레이스 모델은 투명한 링크당 지불 가격과 품질 보증을 제공합니다.
제품 개요
chatbacklink 제품 개요
SEO를 혁신하는 AI 기반 대화형 플랫폼으로, 전체 백링크 확보 프로세스를 단순화하고 자동화합니다. 간단한 채팅 인터페이스를 사용하여 고품질 링크 잠재 고객을 찾고, 개인화된 아웃리치 이메일을 생성하며, 효과적인 링크 빌딩 전략을 개발하세요.
LinkDR 제품 개요
LinkDR은 고품질 백링크 구축을 자동화하는 AI 기반 플랫폼입니다. AI 에이전트를 사용하여 권위 있는 사이트(DR50+)에서 게재 위치를 찾아 확보함으로써, 창업자와 SEO 전문가가 수동적인 아웃리치의 수고 없이 검색 순위를 향상시킬 수 있도록 돕습니다. 마켓플레이스 모델은 투명한 링크당 지불 가격과 품질 보증을 제공합니다.
Detailed feature comparison
| Feature | chatbacklink | LinkDR |
|---|---|---|
| 주요 카테고리 | 콘텐츠 마케팅 | 검색 엔진 최적화 |
| 등록일 | 2025-08-05 | 2025-08-12 |
| 가격 | 프리미엄 | 유료 |
| 공식 사이트 | chatbacklink.com | linkdr.com |
| 제품 유형 | 웹사이트 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 3.4K | 5.9K |
| 월 성장률 | 확인되지 않음 | -33.7% |
| 즐겨찾기 | 136 | 129 |
| Details | 상세 보기 | 상세 보기 |
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 월 방문
- 2026/1: 6.2K 월 방문
- 2026/2: 5.8K 월 방문
- 2026/3: 9.9K 월 방문
- 2026/4: 8.9K 월 방문
- 2026/5: 5.9K 월 방문
주요 지역
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 |
검색 키워드
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 “콘텐츠 마케팅”, while LinkDR is primarily listed under “검색 엔진 최적화”, 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: 콘텐츠 마케팅; LinkDR: 검색 엔진 최적화); 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: 자동화 및 링크 빌딩; shared tags: 백링크, 링크 빌딩, 아웃리치 및 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 콘텐츠 마케팅, AI 마케팅, 경쟁사 분석, 디지털 PR 및 게스트 포스팅; LinkDR's are 검색 엔진 최적화, AI SEO, 자동화, 도메인 권한, Google 랭킹, 마케팅 및 순위. 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 “콘텐츠 마케팅” and especially 콘텐츠 마케팅, AI 마케팅, 경쟁사 분석, 디지털 PR 및 게스트 포스팅. 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 “검색 엔진 최적화” and especially 검색 엔진 최적화, AI SEO, 자동화, 도메인 권한, Google 랭킹 및 마케팅. 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.




