Quick read
How to read kqed.org quickly
kqed.org looks like news & weather. 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 React, WordPress.
- 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
ads: 0/5publisher: 3/5files: 2/3traffic: 0/10radar: 0/4
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: 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
KQED is a public media organization serving Northern California, operating as an NPR and PBS affiliate. It provides local news, radio programming, podcasts, television content, and educational resources. Funded through member donations, corporate sponsorships, and grants rather than advertising.
Business ModelNonprofit Public Media / Membership Model
Target AudienceResidents of Northern California (especially San Francisco Bay Area), NPR/PBS listeners and viewers, educated adults interested in local news, culture, and public affairs
Classification
CategoryNews & Weather
Sub-CategoryLocal News
public mediaNPRPBSlocal newsradiopodcastseducationSan FranciscoBay Areanonprofit journalism
Trust & Risk
Trust Assessment
Trust Score5/100
SentimentProfessional
Spam DetectionClean
Publisher Monetization
ads.txtMissing
Monetization Signals
missing_ads_txt
AI Visual Analysis
Design StyleEditorial / Newsroom
VibeTrustworthy, Authoritative, Community-Focused
UI Score8/100
Detected Logo TextKQED
IAB Taxonomy
IAB CategoryNews & Weather
IAB Sub-CategoryLocal News
Confidence95%
public mediaNPRPBSlocal newsradiopodcastseducationSan FranciscoBay Areanonprofit journalism
Business Insights
Business Model
Nonprofit Public Media / Membership Model model detected
Trust Level
Low trust with 5/100 score
Audience
Residents of Northern California (especially San Francisco Bay Area), NPR/PBS listeners and viewers, educated adults interested in local news, culture, and public affairs
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.
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Move from this single report into the broader market cluster.
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Use the topic route when audience and editorial intent matter more than category.
Browse React websites
Pivot from one domain into a stack-based discovery path.
Browse Wordpress websites
Pivot from one domain into a stack-based discovery path.
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