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Trust Analysis

AI Trust Scoreboard

How Engines Evaluate Your Content
8
Core Trust Signals
100
Maximum Trust Score
75+
Citation Threshold
45%
Domain Authority Weight

8 Trust Signals AI Engines Evaluate

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Domain Authority

Historical domain reputation and backlink quality

βœ“ Good:DR 70+, quality backlinks from authoritative sites
βœ— Bad:New domain, few backlinks, spam-like patterns
25
Points
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Author Expertise

Verified credentials and topical authority

βœ“ Good:Published expert, verified credentials, consistent byline
βœ— Bad:Anonymous author, no credentials, generic content
20
Points
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Content Depth

Comprehensive coverage with supporting evidence

βœ“ Good:2000+ words, data-backed, multiple sources cited
βœ— Bad:Thin content, no sources, surface-level coverage
15
Points
βœ“

Fact Verification

Cross-source validation and accuracy

βœ“ Good:Multiple authoritative sources agree, data verified
βœ— Bad:Single source, contradicts known facts, unverified claims
15
Points
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Structured Data

Schema markup and semantic clarity

βœ“ Good:Complete schema, clean hierarchy, semantic HTML
βœ— Bad:No schema, poor structure, ambiguous markup
10
Points
⚑

Content Freshness

Recent updates and timestamp accuracy

βœ“ Good:Updated within 90 days, accurate timestamps
βœ— Bad:Outdated information, old timestamps, stale data
8
Points
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User Engagement

Social proof and interaction metrics

βœ“ Good:High shares, quality comments, organic engagement
βœ— Bad:No engagement, spam comments, artificial metrics
4
Points
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Technical Quality

Site performance and accessibility

βœ“ Good:Fast load, HTTPS, mobile-optimized, accessible
βœ— Bad:Slow load, no HTTPS, broken mobile, poor UX
3
Points

🎯 Trust Score Interpretation

90-100
Exceptional
Tier 1 citation priority, trusted across all engines
75-89
Strong
High citation likelihood, competitive positioning
60-74
Moderate
Occasional citations, improvement needed
< 60
Weak
Rarely cited, significant optimization required

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AI Trust Scoreboard: How Engines Evaluate Your Content | Hashmeta AI