AI Visibility
measured18/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
12
across 138 prompts
AI Share of Voice
12%
across 138 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Applications
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.
Lightyear.ai is a B2B telecom lifecycle / telecom expense management SaaS with strong AI-citation anchors on G2 (20 reviews, 4.9/5) and Gartner Peer Insights (4 ratings, 4.8). The biggest AI citation risk is conversion-stage crawlability: the site’s own pricing appears to be “Contact Us / Start Quote Request” rather than clearly crawlable tiered pricing, so AI engines can’t reliably cite pricing for evaluation and conversion queries.
Based on audit of lightyear.ai · Aug 29, 2026