Live website intelligence
Gene Ontology Resource
The Gene Ontology (GO) project is a major bioinformatics initiative to develop a computational representation of our evolving knowledge of how genes encode biological functions at the molecular, cellular and tissue system levels.
Last refresh
Updated 4d ago
Analyst read
Professional
Detected stack
Quick read
How to read geneontology.org quickly
geneontology.org looks like science. 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
34/56 fields populated (61%)
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: 0/10
Missing: monthlyVisits, globalRank, countryRank, bounceRate, avgVisitDuration, pagesPerVisit, topCountry, topRegions, topKeywords, trafficSources
whois: 6/6
All expected fields present
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
The Gene Ontology (GO) Resource is a major bioinformatics initiative that provides a comprehensive, computational model of biological systems. It maintains the world's largest knowledgebase of gene functions, offering standardized vocabulary for describing gene and protein functions across species. The platform serves as a foundational resource for computational analysis in molecular biology and biomedical research, providing free access to GO terms, annotations, and enrichment analysis tools.
Classification
Trust & Risk
Trust Assessment
Publisher Monetization
Monetization Signals
AI Visual Analysis
IAB Taxonomy
Business Insights
Business Model
Non-profit/Academic Open Resource (funded by research grants, freely accessible to scientific community) model detected
Trust Level
Low trust with 5/100 score
Audience
Biomedical researchers, computational biologists, bioinformaticians, geneticists, molecular biologists, data scientists in life sciences, and academic institutions worldwide
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