AI Visibility
measured40/100
Frequently Cited · in FP&A
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals18/100
Weak fundamentals
Avg Prompt Score
64
across 419 prompts
AI Share of Voice
64%
across 419 prompts
Critical Issues
6
critical + high
Shortlist Position
14/79
Niche · Fp A Discovery
How AI Visibility breaks down
in FP&A
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 Lucanet is visible in
1Your visibility gap
Lucanet surfaces in 14/79 Fp A discovery prompts. Claim this profile to see which 65 prompts you're missing and how to win them.
Executive summary
causal.app is a B2B FP&A software brand, but AI citation readiness is weakened by the fact that the homepage redirects to Lucanet’s xP&A solution page (so causal.app’s own evaluation/conversion content is hard to cite directly). The single highest-ROI fix is to restore crawlable, brand-led first-party evaluation surfaces on causal.app (especially pricing + SoftwareApplication/FAQPage + brand-led comparison pages) so AI engines can cite causal.app for enterprise and forecasting/scenario-analysis queries.
Based on audit of causal.app · Oct 9, 2026