AI Visibility
measured34/100
Emerging · in Design
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
Avg Prompt Score
100
across 165 prompts
AI Share of Voice
100%
across 165 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Design
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.
Per-stage performance
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.
Categories Cint is visible in
2Executive summary
luc.id is highly likely to be cited for evaluation-stage queries via third-party review sources (e.g., G2 shows Cint/Lucid-related product pages with 28 reviews at 4.5/5). The biggest risk for AI citation is conversion-stage discoverability: luc.id’s homepage redirects to Cint, and first-party pricing/comparison/structured-data signals on luc.id itself are not clearly crawlable, so AI engines may avoid citing luc.id for “pricing” and “vs/alternatives” patterns.
Based on audit of luc.id · Oct 16, 2026