Quick read
How to read ascendntnu.no quickly
ascendntnu.no looks like technology & computing. Traffic signals point to roughly 3.5K 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
50/56 fields populated (89%)
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: 10/10
All expected fields present
whois: 5/6
Missing: whois.expiresAt
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
Ascend NTNU is a student-led aerial robotics team at the Norwegian University of Science and Technology (NTNU) that designs, builds, and competes with autonomous drones. They focus on solving challenging problems in cybernetics and autonomy through competitive robotics.
Classification
Trust & Risk
Trust Assessment
Google Ads Transparency
Publisher Monetization
Monetization Signals
AI Visual Analysis
IAB Taxonomy
Business Insights
Business Model
Educational/Non-profit Student Organization model detected
Trust Level
Low trust with 5/100 score
Audience
Engineering students, robotics enthusiasts, potential sponsors, competition organizers, and academic institutions interested in aerial robotics and autonomous systems
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