Live website intelligence
BlockerX: #1 Porn Blocker
#1 Porn Blocker App for Android, iOS, Chrome, Mac & Windows. BlockerX filters out over 3 Million adult websites and helps you quit porn for good.
Last refresh
Updated 9d ago
Analyst read
Professional
15/100 trustHealth & FitnessStale snapshot
Detected stack
ReactWordPress
Quick read
How to read blockerx.net quickly
blockerx.net looks like health & fitness. Traffic estimates are limited, so use the trust and structure modules first. Current AI trust scoring is 15/100.
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
BlockerX is a cross-platform pornography blocking application that helps users overcome compulsive adult content consumption through website filtering, accountability features, and educational resources. It operates as a freemium service with premium subscription tiers.
Business ModelFreemium SaaS / Subscription
Target AudienceIndividuals seeking to quit or reduce pornography consumption, people with porn addiction, partners wanting accountability tools, and parents seeking content filtering solutions
Classification
CategoryHealth & Fitness
Sub-CategoryAddiction & Recovery
porn blockerdigital wellnessaddiction recoveryself-improvementparental controlsmental healthproductivitychrome extension
Trust & Risk
Trust Assessment
Trust Score15/100
SentimentProfessional
Spam DetectionClean
Publisher Monetization
ads.txtMissing
Monetization Signals
missing_ads_txt
AI Visual Analysis
Design StyleModern SaaS / Clean Corporate
VibeSupportive, Trustworthy, Health-focused
UI Score8/100
Detected Logo TextBlockerX
IAB Taxonomy
IAB CategoryHealth & Fitness
IAB Sub-CategoryAddiction & Recovery
Confidence92%
porn blockerdigital wellnessaddiction recoveryself-improvementparental controlsmental healthproductivitychrome extension
Business Insights
Business Model
Freemium SaaS / Subscription model detected
Trust Level
Low trust with 15/100 score
Audience
Individuals seeking to quit or reduce pornography consumption, people with porn addiction, partners wanting accountability tools, and parents seeking content filtering solutions
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 Health & Fitness sites
Move from this single report into the broader market cluster.
Browse Addiction & Recovery sites
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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