Live website intelligence

bestref.net

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

5/100 trustScienceStale snapshot

Detected stack

Unknown

Quick read

How to read bestref.net quickly

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

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

33/56 fields populated (59%)

11 providers

Providers with missing fields

dns: 2/4ads: 3/5publisher: 2/5files: 2/3traffic: 0/10radar: 0/4ai: 6/7

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: 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

Why this module matters

Start here before opening deeper tabs

This overview turns the raw report into a fast read: what kind of site this is, how it appears to perform, and which detail modules are most worth opening next.

Use the SEO card to judge structure quality.
Use traffic and rank signals to estimate market weight.
Use business and trust modules before outreach or partnership decisions.

SEO Overview

H1 Tags1

H2 Tags0

Internal Links206

External Links5

Images14

DNS & Infrastructure

DNS ProviderOther

NS Records4 records

Traffic Stats

Domain Age6.2 years

Taxonomy

IAB CategoryScience

IAB Sub-CategoryReference

Confidence95%

WikipediaData AnalysisReferenceCitationsAcademic ResearchDatabase

Technical Files

robots.txtFound

sitemap.xmlFound

AI Analysis

SummaryA niche data analysis platform that aggregates and assesses websites cited across hundreds of Wikipedia language versions to rank the most reliable information sources.

Business ModelMedia / Data Aggregator

Trust Score5/100

SentimentProfessional

Advertising

Is AdvertiserNo

Result Count0

no_advertiser_idno_creative_results

Publisher / Monetization

ads.txtMissing

Monetization Signals

missing_ads_txt

Visual / Brand

Dominant Color#202020

Color Palette

StorageR2

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 Science sites

Move from this single report into the broader market cluster.

Browse Reference 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.

Need fresh data for another site? Trigger a fresh analysis or open the directory to continue browsing.