46
OVERALL GEO READINESS SCORE
VULNERABLEPROTECTED
⚙
46
TECHNICAL
📄
47
CONTENT
🔒
44
DEFENSE
DETAILED CHECK RESULTS // 12 VECTORS
TECHHTTPS / SSL Certificate
64
TECHrobots.txt Configuration
45
TECHllms.txt Implementation
61
TECHStructured Data (JSON-LD)
30
TECHXML Sitemap
30
CONTENTContent Freshness
52
CONTENTAuthor Attribution (E-E-A-T)
26
CONTENTFAQ / Direct Answer Markup
74
CONTENTCitation-Worthy Content
35
DEFENSEAI Brand Monitoring
63
DEFENSENegative GEO Protection
40
DEFENSECompetitor Manipulation Shield
28
RECOMMENDATIONS // MOZLLABS
HIGH: Structured data (JSON-LD) implementation is weak. Add Organization, Article, FAQ, and Breadcrumb schema to improve AI extraction.
HIGH: Author attribution and E-E-A-T signals need strengthening. Add clear author bios, credentials, and publication dates.
HIGH: Mozllabs is vulnerable to negative GEO attacks. Implement proactive brand monitoring and content diversification.
COMPETITIVE LANDSCAPE
Potential competitors in the General space that may be running GEO campaigns targeting Mozllabs:
Monitor these domains for potential negative GEO campaigns targeting Mozllabs.