AI Visibility
measured11/100
Emerging · in Endpoint Protection
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
13
across 343 prompts
AI Share of Voice
13%
across 343 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Endpoint Protection
Composite = 60% coverage + 40% engine breadth, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Teramind is a B2B workforce analytics/insider risk (UAM/DLP) platform with strong third-party review visibility (155 G2 reviews) and active LinkedIn authority (102,482 followers). The biggest AI-citation risk is evaluation-stage “brand vs competitor” and structured-data eligibility: the site has first-party comparison-style content (e.g., alternatives posts) but no evidence of SoftwareApplication/FAQPage/AggregateRating schema, and pricing appears to be demo/contact-gated in places (e.g., “Get Custom Demo” and “Contact Sales”).
Based on audit of teramind.co · Jun 5, 2026