Quick read
How to read amazon.science quickly
amazon.science looks like technology & computing. Traffic signals point to roughly 398.8K 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
ads: 0/5publisher: 3/5files: 2/3radar: 2/4
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
Amazon Science is Amazon's corporate research division showcasing AI/ML innovations, particularly highlighting their NFL Next Gen Stats partnership that processes millions of tracking data points using 75 machine learning models on AWS to analyze player movements in real-time.
Business ModelCorporate R&D / Technology Research
Target AudienceResearchers, engineers, potential hires, tech media, enterprise customers interested in AWS AI/ML capabilities, and sports technology enthusiasts
Classification
CategoryTechnology & Computing
Sub-CategoryArtificial Intelligence
machine learningNFLsports analyticsAWScloud computingresearchdata scienceRFID tracking
Trust & Risk
Trust Assessment
Trust Score5/100
SentimentProfessional
Spam DetectionClean
Publisher Monetization
ads.txtMissing
Monetization Signals
missing_ads_txt
AI Visual Analysis
Design StyleCorporate Editorial
VibeInnovative
UI Score8/100
Detected Logo Textamazon science
IAB Taxonomy
IAB CategoryTechnology & Computing
IAB Sub-CategoryArtificial Intelligence
Confidence95%
machine learningNFLsports analyticsAWScloud computingresearchdata scienceRFID tracking
Business Insights
Business Model
Corporate R&D / Technology Research model detected
Trust Level
Low trust with 5/100 score
Audience
Researchers, engineers, potential hires, tech media, enterprise customers interested in AWS AI/ML capabilities, and sports technology enthusiasts
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.
Browse Technology & Computing sites
Move from this single report into the broader market cluster.
Browse Artificial Intelligence sites
Use the topic route when audience and editorial intent matter more than category.
Browse Unknown websites
Pivot from one domain into a stack-based discovery path.
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