Live site data
ASINsell - Software for Amazon About Review & Feedback and more for Amazon Sellers
A software for sellers on Amazon to grow their business. Increase your positive feedback, detect hijackers on your lists, calculate your refunds, easily find keywords, and more.
Last refresh
Updated 20d ago
Analyst read
Professional
#4.3M global rank15/100 trustTechnology & ComputingStale snapshot
Detected stack
Cloudflare
Quick read
How to read asinsell.com quickly
asinsell.com looks like technology & computing. Traffic signals point to roughly 4.4K monthly visits. Current AI trust scoring is 15/100.
What to do next
- The stack appears to include Cloudflare.
- 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
50/56 fields populated (89%)
1 health alerts11 providers
Providers with missing fields
publisher: 2/5files: 2/3radar: 2/4
Provider health alerts
ai: AI_PROVIDER_FAILED
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: 5/5
All expected fields present
publisher: 2/5
Missing: adSystems, directCount, resellerCount
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
ASINsell is a SaaS platform providing automation tools for Amazon sellers, specifically focused on automating review requests, detecting listing hijackers, calculating refunds, and keyword research to help sellers grow their business and increase positive feedback.
Business ModelSaaS
Target AudienceAmazon marketplace sellers, third-party vendors, and ecommerce businesses looking to automate review collection and optimize their Amazon operations
Classification
CategoryTechnology & Computing
Sub-CategorySoftware
amazon seller toolsreview automationecommerce softwarefeedback managementamazon marketplacesaasseller analytics
Trust & Risk
Trust Assessment
Trust Score15/100
SentimentProfessional
Spam DetectionClean
Google Ads Transparency
Is AdvertiserActive Advertiser
Advertiser Names
Ozan Soft
Advertiser IDs
AR00578857206615638017
Ad Count1
has_advertiser_idhas_creative_results
Publisher Monetization
ads.txtMissing
Monetization Signals
missing_ads_txt
AI Visual Analysis
Design StyleCorporate
VibeTrustworthy
UI Score6/100
Detected Logo TextASINsell
IAB Taxonomy
IAB CategoryTechnology & Computing
IAB Sub-CategorySoftware
Confidence92%
amazon seller toolsreview automationecommerce softwarefeedback managementamazon marketplacesaasseller analytics
Business Insights
Business Model
SaaS model detected
Trust Level
Low trust with 15/100 score
Audience
Amazon marketplace sellers, third-party vendors, and ecommerce businesses looking to automate review collection and optimize their Amazon operations
Keep exploring
Keep exploring from this report
Browse the related category, topic, or technology path, open alternatives, or move into comparison when you have a second domain.
Related category
Browse Technology & Computing sites
Move from this site data report into the broader market cluster.
Use category pages when market context matters more than one domain.
Related topic
Browse Software sites
Use the topic route when audience and editorial intent matter more than category.
Topic pages help you compare audience intent around the same domain.
Related technology
Browse Cloudflare websites
Pivot from one domain into a stack-based discovery path.
Technology pages help you compare implementation patterns across similar sites.
Alternatives
Open asinsell.com alternatives
Review similar domains ranked by category, audience, technology overlap, and match reasons.