ChatGLM
글쓰기 · 4.4M 월 방문
ChatGLM은 Zhipu AI가 GLM 아키텍처를 기반으로 개발한 강력한 대화형 AI입니다. 자연어 이해, 콘텐츠 생성, 논리적 추론 및 이미지 및 비디오 제작과 같은 다중 모드 작업에 뛰어나며 개인 및 전문가용 다목적 AI 비서 역할을 합니다.
제품 개요
ChatGLM 제품 개요
ChatGLM은 Zhipu AI가 GLM 아키텍처를 기반으로 개발한 강력한 대화형 AI입니다. 자연어 이해, 콘텐츠 생성, 논리적 추론 및 이미지 및 비디오 제작과 같은 다중 모드 작업에 뛰어나며 개인 및 전문가용 다목적 AI 비서 역할을 합니다.
Preview
Plugger 제품 개요
Plugger는 텍스트 프롬프트로부터 몇 초 만에 멋진 비주얼을 생성하는 올인원 AI 디자인 생성기입니다. 마케터, 스타트업, 이커머스에 이상적이며 배너, 소셜 미디어 게시물, 광고 크리에이티브, 로고, 아이콘 등의 제작을 자동화하여 창의적인 워크플로우를 간소화합니다.
Preview
Detailed feature comparison
| Feature | ChatGLM | Plugger |
|---|---|---|
| 주요 카테고리 | 글쓰기 | 생성형 예술 |
| 등록일 | 2025-08-04 | 2025-08-10 |
| 가격 | 프리미엄 | 프리미엄 |
| 공식 사이트 | chatglm.cn | www.plugger.ai |
| 제품 유형 | 웹사이트 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 4.4M | 15.3K |
| 월 성장률 | 0.6% | -32.5% |
| 즐겨찾기 | 107 | 71 |
| Details | 상세 보기 | 상세 보기 |
ChatGLM vs Plugger monthly traffic
Compare ChatGLM and Plugger by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the ChatGLM vs Plugger monthly traffic comparison, ChatGLM currently shows 4.4M visits and Plugger shows 15.3K; ChatGLM has about 286.1 times the visible traffic of Plugger, an absolute difference of about 4.4M 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.
ChatGLM is registered at the chatglm.cn/main/alltoolsdetail subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
ChatGLM monthly traffic:
Latest traffic
월 방문
4.4M
평균 방문 시간
4:14
방문당 페이지
3.19
이탈률
27.43%
Data updated 2026-06-15
Monthly traffic trend
- 2026/1: 2.9M 월 방문
- 2026/2: 2.7M 월 방문
- 2026/3: 4M 월 방문
- 2026/4: 4.3M 월 방문
- 2026/5: 4.4M 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇨🇳China | 90.67% | 4M |
| 🇭🇰Hong Kong | 4.25% | 185.6K |
| 🇺🇸United States | 3.48% | 152K |
| 🇹🇼Taiwan | 0.9% | 39.3K |
| 🇰🇷Korea, Republic of | 0.7% | 30.6K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 95.72% | 4.2M |
| 리퍼럴 | 3.98% | 173.8K |
| 이메일 | 0.3% | 13.1K |
검색 키워드
chatglmglm智谱智谱清言智谱清言网页版
Plugger monthly traffic:
Latest traffic
월 방문
15.3K
평균 방문 시간
0:06
방문당 페이지
2.08
이탈률
37.23%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 65.3K 월 방문
- 2026/1: 49.8K 월 방문
- 2026/2: 29.1K 월 방문
- 2026/3: 26.6K 월 방문
- 2026/4: 22.6K 월 방문
- 2026/5: 15.3K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 24.82% | 3.8K |
| 🇹🇷Turkey | 19.51% | 3K |
| 🇷🇺Russia | 19.32% | 2.9K |
| 🇺🇸United States | 18.22% | 2.8K |
| 🇧🇷Brazil | 18.13% | 2.8K |
검색 키워드
anything v5pluggerplugger aiplugger icon generatortessaract vs easyocr vs paddleocr
Traffic-based selection guidance: ChatGLM is registered under a chatglm.cn subpath, so its large visible total may include the host platform. The current data does not justify choosing ChatGLM for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Usage comparison
Compare the core capabilities of ChatGLM and Plugger
ChatGLM Core features
이미지 생성기
비디오 생성기
글쓰기
어시스턴트
Plugger Core features
이미지 생성기
비디오 생성기
생성형 예술
소셜 미디어
Use cases
ChatGLM Use cases
AI 비서
코드 어시스턴트
콘텐츠 제작
대화형 AI
데이터 분석
GLM
이미지 생성
거대 언어 모델
텍스트 생성
비디오 생성
Zhipu AI
Plugger Use cases
광고 크리에이티브
AI 예술
AI 오디오
AI 비디오
브랜드 키트
디자인 생성기
아이콘 생성기
로고 메이커
마케팅 자동화
소셜 미디어 그래픽
텍스트를 디자인으로
티셔츠 디자인
ChatGLM vs Plugger：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth ChatGLM vs Plugger comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. ChatGLM is primarily listed under “글쓰기”, while Plugger is primarily listed under “생성형 예술”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (ChatGLM: 글쓰기; Plugger: 생성형 예술); Monthly visits (ChatGLM: 4.4M; Plugger: 15.3K); Monthly growth (ChatGLM: 0.6%; Plugger: -32.5%); Favorites (ChatGLM: 107; Plugger: 71); Website (ChatGLM: chatglm.cn; Plugger: www.plugger.ai). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the ChatGLM vs Plugger monthly traffic comparison, ChatGLM currently shows 4.4M visits and Plugger shows 15.3K; ChatGLM has about 286.1 times the visible traffic of Plugger, an absolute difference of about 4.4M 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.
ChatGLM is registered at the chatglm.cn/main/alltoolsdetail subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
ChatGLM is registered under a chatglm.cn subpath, so its large visible total may include the host platform. The current data does not justify choosing ChatGLM for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Product positioning, use cases, and roles
ChatGLM and Plugger currently overlap in shared categories: 이미지 생성기 및 비디오 생성기. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
ChatGLM's unique categories/tags are 글쓰기, 어시스턴트, AI 비서, 코드 어시스턴트, 콘텐츠 제작, 대화형 AI, 데이터 분석 및 GLM; Plugger's are 생성형 예술, 소셜 미디어, 광고 크리에이티브, AI 예술, AI 오디오, AI 비디오, 브랜드 키트 및 디자인 생성기. 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
ChatGLM has no verified rating, 0 comments, 107 favorites, and 98 likes；Plugger has no verified rating, 0 comments, 71 favorites, and 82 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate ChatGLM first
Put ChatGLM on the priority trial list when the task aligns with “글쓰기” and especially 글쓰기, 어시스턴트, AI 비서, 코드 어시스턴트, 콘텐츠 제작 및 대화형 AI. This follows recorded positioning and does not imply unlisted capabilities are absent.
ChatGLM also currently records: pricing is freemium, product type is website, 4.4M monthly visits shown for the registered host (subpage scope unknown), 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 Plugger first
Put Plugger on the priority trial list when the task aligns with “생성형 예술” and especially 생성형 예술, 소셜 미디어, 광고 크리에이티브, AI 예술, AI 오디오 및 AI 비디오. This follows recorded positioning and does not imply unlisted capabilities are absent.
Plugger also currently records: pricing is freemium, product type is website, 15.3K 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 ChatGLM and Plugger, 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.
비교 FAQ
How should I choose between ChatGLM and Plugger?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.