51
OVERALL GEO READINESS SCORE
VULNERABLEPROTECTED
⚙
49
TECHNICAL
📄
53
CONTENT
🔒
50
DEFENSE
DETAILED CHECK RESULTS // 12 VECTORS
TECHHTTPS / SSL Certificate
57
TECHrobots.txt Configuration
76
TECHllms.txt Implementation
35
TECHStructured Data (JSON-LD)
26
TECHXML Sitemap
51
CONTENTContent Freshness
69
CONTENTAuthor Attribution (E-E-A-T)
70
CONTENTFAQ / Direct Answer Markup
39
CONTENTCitation-Worthy Content
35
DEFENSEAI Brand Monitoring
83
DEFENSENegative GEO Protection
38
DEFENSECompetitor Manipulation Shield
28
RECOMMENDATIONS // FIGMCLOUD
HIGH: Figmcloud has no detectable llms.txt file. Implementing llms.txt helps AI systems understand your content and reduces hallucination risk.
HIGH: Structured data (JSON-LD) implementation is weak. Add Organization, Article, FAQ, and Breadcrumb schema to improve AI extraction.
MEDIUM: FAQ and direct-answer markup is missing. Adding FAQ schema increases chances of appearing in AI Overviews and answer engines.
HIGH: Figmcloud is vulnerable to negative GEO attacks. Implement proactive brand monitoring and content diversification.
INFO: Content freshness is good. Continue publishing regularly to maintain AI search relevance.
INFO: robots.txt is properly configured for AI crawlers. Continue monitoring for new bot user agents.
COMPETITIVE LANDSCAPE
Potential competitors in the General space that may be running GEO campaigns targeting Figmcloud:
Monitor these domains for potential negative GEO campaigns targeting Figmcloud.