AI Visibility
measured18/100
Emerging · in Device Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals60/100
Some gaps
Avg Prompt Score
3
across 431 prompts
AI Share of Voice
3%
across 431 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Device Management
Composite = 50% coverage + 30% engine breadth + 20% position, 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.
MikroTik is highly likely to be cited by AI engines for networking hardware/router queries because it has strong third-party review presence (e.g., TrustRadius) and very strong first-party technical documentation that is explicitly machine-readable for AI tools (manual.mikrotik.com with /llms.txt and /llms-full.txt). The biggest citation risk is evaluation/conversion-style queries that expect SaaS-style comparison/pricing pages and structured “SoftwareApplication”/FAQ content—MikroTik is primarily hardware/network OS, so AI may under-cite it for “best software” and “pricing plans” patterns.
Based on audit of mikrotik.com · Oct 8, 2026