AI Visibility
measured18/100
Emerging · in Device Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals50/100
Some gaps
Avg Prompt Score
4
across 313 prompts
AI Share of Voice
4%
across 313 prompts
Critical Issues
5
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.
Kickidler is likely to be cited by AI engines for evaluation-stage queries because it has third-party review authority (G2 and Gartner Peer Insights pages exist) and publicly crawlable pricing pages with specific license tiers. The biggest citation risk is conversion-stage and evaluation-stage “brand vs competitor”/integration queries: the domain shows pricing and review presence, but there is no clear evidence (from live search) of first-party comparison pages or SoftwareApplication/FAQPage structured data that AI engines can reliably extract.
Based on audit of kickidler.com · Aug 31, 2026