AI Visibility
measured18/100
Emerging · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals38/100
Weak fundamentals
Avg Prompt Score
100
across 13 prompts
AI Share of Voice
100%
across 13 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Infrastructure
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.
Skyline.ai is likely to be cited by AI engines mainly via third-party evaluation surfaces (notably G2 and Capterra), but first-party evaluation assets (pricing clarity, comparison pages, and crawlable structured data) appear thin or missing. The highest-ROI fix is to publish/ensure crawlable, SSR-rendered evaluation content (especially pricing + SoftwareApplication/FAQPage schema) so AI engines can cite skyline.ai directly for evaluation and conversion queries.
Based on audit of skyline.ai · Sep 24, 2026