Aware는 크리에이터, 마케터, 영업팀을 위해 설계된 AI 기반 LinkedIn 참여 및 분석 도구입니다. 집중된 참여 피드, 심층 분석, AI 게시물 생성 및 원활한 CRM 통합을 통해 70% 적은 노력으로 개인 브랜드를 성장시킬 수 있도록 돕습니다.
TallyPost는 전문가, 기업가, 사고 리더들이 LinkedIn에서 개인 브랜드를 성장시킬 수 있도록 돕는 AI 기반 플랫폼입니다. 콘텐츠 제작 속도를 10배 높이고, 바이럴 게시물 아이디어를 생성하며, 당신의 독특한 목소리에 맞춰 훈련된 AI를 통해 몇 달치 게시물을 미리 예약할 수 있습니다.
제품 개요
Aware 제품 개요
Aware는 크리에이터, 마케터, 영업팀을 위해 설계된 AI 기반 LinkedIn 참여 및 분석 도구입니다. 집중된 참여 피드, 심층 분석, AI 게시물 생성 및 원활한 CRM 통합을 통해 70% 적은 노력으로 개인 브랜드를 성장시킬 수 있도록 돕습니다.
TallyPost 제품 개요
TallyPost는 전문가, 기업가, 사고 리더들이 LinkedIn에서 개인 브랜드를 성장시킬 수 있도록 돕는 AI 기반 플랫폼입니다. 콘텐츠 제작 속도를 10배 높이고, 바이럴 게시물 아이디어를 생성하며, 당신의 독특한 목소리에 맞춰 훈련된 AI를 통해 몇 달치 게시물을 미리 예약할 수 있습니다.
Detailed feature comparison
| Feature | Aware | TallyPost |
|---|---|---|
| 주요 카테고리 | 소셜 미디어 마케팅 | 소셜 미디어 마케팅 |
| 등록일 | 2025-08-07 | 2025-08-12 |
| 가격 | 프리미엄 | 프리미엄 |
| 공식 사이트 | www.useaware.co | tallypost.pro |
| 제품 유형 | 웹사이트 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 2.8K | 3.3K |
| 월 성장률 | 70.3% | 확인되지 않음 |
| 즐겨찾기 | 118 | 95 |
| Details | 상세 보기 | 상세 보기 |
Aware vs TallyPost monthly traffic
Compare Aware and TallyPost by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Aware vs TallyPost monthly traffic comparison, Aware currently shows 2.8K visits and TallyPost shows 3.3K; TallyPost has about 1.2 times the visible traffic of Aware, an absolute difference of about 510 visits. This reflects visible reach, not feature quality or paid users.
Only Aware has complete third-party traffic details; TallyPost 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.
Aware monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 30.9K 월 방문
- 2026/1: 9.7K 월 방문
- 2026/2: 5.3K 월 방문
- 2026/3: 3.8K 월 방문
- 2026/4: 1.7K 월 방문
- 2026/5: 2.8K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇬🇧United Kingdom | 45.43% | 1.3K |
| 🇫🇷France | 41.81% | 1.2K |
| 🇮🇳India | 12.76% | 362 |
검색 키워드
TallyPost monthly traffic:
Latest traffic
Usage comparison
Compare the core capabilities of Aware and TallyPost
Aware Core features
TallyPost Core features
Use cases
Aware Use cases
TallyPost Use cases
Aware vs TallyPost:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Aware vs TallyPost comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Aware is primarily listed under “소셜 미디어 마케팅”, while TallyPost is primarily listed under “소셜 미디어 마케팅”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (Aware: 2.8K; TallyPost: 3.3K); Favorites (Aware: 118; TallyPost: 95); Website (Aware: www.useaware.co; TallyPost: tallypost.pro); Added (Aware: 2025-08-07; TallyPost: 2025-08-12). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Aware vs TallyPost monthly traffic comparison, Aware currently shows 2.8K visits and TallyPost shows 3.3K; TallyPost has about 1.2 times the visible traffic of Aware, an absolute difference of about 510 visits. This reflects visible reach, not feature quality or paid users.
Only Aware has complete third-party traffic details; TallyPost 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
Aware and TallyPost currently overlap in shared categories: 소셜 미디어 마케팅 및 링크드; shared tags: AI 작가, 콘텐츠 제작, 리드 생성, 링크드인, 마케팅 자동화 및 개인 브랜딩. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Aware's unique categories/tags are 소셜 셀링, 분석, CRM 통합 및 소셜 미디어 관리; TallyPost's are 콘텐츠 제작, 포스트 스케줄러 및 소셜 미디어. 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
Aware has no verified rating, 0 comments, 118 favorites, and 147 likes;TallyPost has no verified rating, 0 comments, 95 favorites, and 98 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Aware first
Put Aware on the priority trial list when the task aligns with “소셜 미디어 마케팅” and especially 소셜 셀링, 분석, CRM 통합 및 소셜 미디어 관리. This follows recorded positioning and does not imply unlisted capabilities are absent.
Aware also currently records: pricing is freemium, product type is website, 2.8K 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 TallyPost first
Put TallyPost on the priority trial list when the task aligns with “소셜 미디어 마케팅” and especially 콘텐츠 제작, 포스트 스케줄러 및 소셜 미디어. This follows recorded positioning and does not imply unlisted capabilities are absent.
TallyPost also currently records: pricing is freemium, product type is website, 3.3K 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.
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 Aware and TallyPost, 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.




