Live site data
Digital Fraud Prevention & Risk-Based Authentication | Sift
Sift’s fraud prevention and risk-based authentication platform empowers digital businesses to grow fearlessly and reduce risk without compromising trust.
Last refresh
Updated 20h ago
Analyst read
Professional
5/100 trustTechnology & Computing
Detected stack
WordPressCloudflare
Quick read
How to read sift.com quickly
sift.com looks like technology & computing. 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 WordPress, 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
33/56 fields populated (59%)
1 health alerts11 providers
Providers with missing fields
ads: 0/5publisher: 2/5files: 2/3traffic: 0/10radar: 0/4
Provider health alerts
traffic: TRAFFIC_NO_DATA
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
Why this module matters
Use the SEO tab as a quality and discoverability check
These metrics help you decide whether a site is structured clearly enough for search and users. Strong heading, linking, and technical file patterns usually indicate better discoverability.
- Check heading counts to spot thin or messy structure.
- Review robots and sitemap presence before treating a site as search-mature.
- Use taxonomy and AI notes to understand topical fit.
Heading Structure
H1 Tags1
H2 Tags7
Images85
Link Analysis
Internal Links84
External Links22
Link Ratio79% internal
Technical Files Checklist
robots.txt
File found and accessible
sitemap.xml
Sitemap found and valid
Single H1 Tag
Page has exactly one H1
Meta Description
Meta description present
Taxonomy
Technology & ComputingSoftware95%
fraud preventioncybersecurityrisk managementauthenticationSaaSenterprise softwaredigital trustmachine learningfintech
AI Classification
Content Analysis
CategoryTechnology & Computing
Business ModelSaaS (Software as a Service) - B2B enterprise platform with subscription-based pricing
Trust Score5/100
SentimentProfessional
AI-Generated Tags
fraud preventioncybersecurityrisk managementauthenticationSaaSenterprise softwaredigital trustmachine learningfintech
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
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Topic pages help you compare audience intent around the same domain.
Related technology
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Pivot from one domain into a stack-based discovery path.
Technology pages help you compare implementation patterns across similar sites.
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Pivot from one domain into a stack-based discovery path.