Live website intelligence
首页-中国机械科学研究总院集团有限公司
中国机械科学研究总院集团有限公司（以下简称中国机械总院）的前身是机械工业部机械科学研究院，成立于1956年新中国建设时期。1999年按照“国科发政字（1999）197号文”的要求，将原机械工业部直属的从事基础共性技术研究与开发的一批研究所划入机械总院整体转制为中央直属企业， 2003年机械总院成为国资委监管的中央直属科技型企业集团。
Last refresh
Updated 16d ago
Analyst read
Professional
Detected stack
Quick read
How to read cam.com.cn quickly
cam.com.cn looks like business & industrial. Traffic estimates are limited, so use the trust and structure modules first. Current AI trust scoring is 5/100.
What to do next
- The stack appears to include Unknown.
- Open the Traffic tab if you need audience scale and geography before outreach.
- Open the Business tab if trust, monetization, or positioning is your first decision filter.
Provider Completeness
33/56 fields populated (59%)
Providers with missing fields
View field-level status
visual: 4/4
All expected fields present
meta: 3/3
All expected fields present
seo: 5/5
All expected fields present
dns: 4/4
All expected fields present
ads: 5/5
All expected fields present
publisher: 3/5
Missing: directCount, resellerCount
files: 2/3
Missing: robotsSitemapUrls
traffic: 0/10
Missing: monthlyVisits, globalRank, countryRank, bounceRate, avgVisitDuration, pagesPerVisit, topCountry, topRegions, topKeywords, trafficSources
whois: 0/6
Missing: whois.registrar, whois.createdAt, whois.expiresAt, whois.nameservers, whois.status, domainAgeYears
radar: 0/4
Missing: globalRank, rankBucket, categories, sourceTimestamp
ai: 7/7
All expected fields present
Why this module matters
Business signals help answer “is this a real opportunity?”
Use the business tab to understand trust, monetization, audience fit, and brand posture before you spend time on outreach, partnerships, or competitive teardown work.
- Trust score and sentiment are your first risk screen.
- Business summary and audience notes speed up qualification.
- Ads and monetization patterns reveal how the site captures value.
Business Intelligence
Business Profile
China Academy of Machinery Science and Technology Group (CAM) is a state-owned enterprise under SASAC supervision, specializing in fundamental and generic technology research, development, and industrial application in the machinery industry. Originally founded in 1956 as a research institute under the Ministry of Machine Building Industry, it was restructured into a central enterprise in 1999.
Classification
Trust & Risk
Trust Assessment
Google Ads Transparency
Publisher Monetization
Monetization Signals
AI Visual Analysis
IAB Taxonomy
Business Insights
Business Model
State-Owned Enterprise (SOE) - Research & Development Services, Technology Transfer, Industrial Manufacturing model detected
Trust Level
Low trust with 5/100 score
Audience
Government agencies, industrial manufacturers, machinery enterprises, research institutions, and partners in advanced manufacturing sectors
Keep exploring
Keep exploring from this report
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