Quick read
How to read applion.jp quickly
applion.jp looks like technology & computing. Traffic signals point to roughly 889.3K monthly visits. Current AI trust scoring is 15/100.
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
35/56 fields populated (63%)
Providers with missing fields
visual: 0/4ads: 0/5publisher: 3/5files: 2/3whois: 0/6radar: 2/4ai: 6/7
View field-level status
visual: 0/4
Missing: screenshotUrl, dominantColor, palette, storage
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: 0/6
Missing: whois.registrar, whois.createdAt, whois.expiresAt, whois.nameservers, whois.status, domainAgeYears
radar: 2/4
Missing: categories, sourceTimestamp
ai: 6/7
Missing: aiAnalysis.visualAnalysis
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
Applion is a Japanese mobile app discovery and review platform that helps users find, compare, and discover iOS and Android applications. The site provides app rankings, reviews, and curated recommendations.
Business ModelMedia/Affiliate
Target AudienceJapanese mobile device users seeking app recommendations, casual consumers, and tech enthusiasts looking for new applications
Classification
CategoryTechnology & Computing
Sub-CategoryConsumer Electronics
mobile appsapp discoveryiOSAndroidapp reviewsJapanapp store
Trust & Risk
Trust Assessment
Trust Score15/100
SentimentProfessional
Spam DetectionClean
Publisher Monetization
ads.txtFound
Ad Systems
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Monetization Signals
has_ads_txthas_ad_systems
IAB Taxonomy
IAB CategoryTechnology & Computing
IAB Sub-CategoryConsumer Electronics
Confidence85%
mobile appsapp discoveryiOSAndroidapp reviewsJapanapp store
Business Insights
Business Model
Media/Affiliate model detected
Trust Level
Low trust with 15/100 score
Audience
Japanese mobile device users seeking app recommendations, casual consumers, and tech enthusiasts looking for new applications
Keep exploring
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