Live website intelligence
美团 - 帮大家吃得更好,生活更好
美团是一家科技零售公司。美团以“零售 + 科技”的战略践行“帮大家吃得更好,生活更好”的公司使命。自2010年3月成立以来,美团持续推动服务零售和商品零售在需求侧和供给侧的数字化升级,和广大合作伙伴一起努力为消费者提供品质服务。2018年9月20日,美团在港交所挂牌上市。美团始终以客户为中心,不断加大在新技术上的研发投入。美团会和大家一起努力,更好承担社会责任,更多创造社会价值。
Last refresh
Updated 7d ago
Analyst read
Professional
Detected stack
Quick read
How to read meituan.com quickly
meituan.com looks like technology & computing. Traffic signals point to roughly 10.0M monthly visits. 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
46/56 fields populated (82%)
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: 0/5
Missing: isAdvertiser, advertiserIds, advertiserNames, resultCount, transparencySignals
publisher: 3/5
Missing: directCount, resellerCount
files: 2/3
Missing: robotsSitemapUrls
traffic: 10/10
All expected fields present
whois: 6/6
All expected fields present
radar: 2/4
Missing: 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
Meituan is a leading Chinese technology retail company operating a super-app platform that connects consumers with local services, food delivery, and retail through digital infrastructure. Founded in 2010 and listed on Hong Kong Stock Exchange in 2018, the company leverages 'Retail + Technology' strategy to upgrade both demand and supply sides of service and goods retail.
Classification
Trust & Risk
Trust Assessment
Publisher Monetization
Monetization Signals
AI Visual Analysis
IAB Taxonomy
Business Insights
Business Model
Platform/Marketplace (Super App) model detected
Trust Level
Low trust with 5/100 score
Audience
Chinese consumers seeking convenient local services, food delivery, and retail; merchants and service providers looking for digital distribution channels; delivery partners and ecosystem collaborators
Keep exploring
Keep exploring from this report
Good pSEO pages should not strand the visitor. These links keep the journey moving through adjacent directories and comparable live reports.