Live website intelligence
The best information sources of Wikipedia - assessment by BestRef
The BestRef database contains results of assessment of 3,751,566 websites in each of 308 language versions of Wikipedia. Based on analysis of 61.81 million Wikipedia articles it was possible to extract information about 336.44 million references in October 2023. This allowed to identify the best information sources of Wikipedia using different assessment models.
Last refresh
Updated 26d ago
Analyst read
Professional
Detected stack
Quick read
bestref.net 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
33/56 fields populated (59%)
Providers with missing fields
visual: 4/4
All expected fields present
meta: 3/3
All expected fields present
seo: 5/5
All expected fields present
dns: 2/4
Missing: mxRecords, txtRecords
ads: 3/5
Missing: advertiserIds, advertiserNames
publisher: 2/5
Missing: adSystems, 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: 6/7
Missing: aiAnalysis.visualAnalysis
Keep exploring
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Why this module matters
Use the business tab to understand trust, monetization, audience fit, and brand posture before you spend time on outreach, partnerships, or competitive teardown work.
A niche data analysis platform that aggregates and assesses websites cited across hundreds of Wikipedia language versions to rank the most reliable information sources.
Monetization Signals
Media / Data Aggregator model detected
Low trust with 5/100 score
Researchers, librarians, students, and SEO professionals interested in authoritative link building or source verification.