AI Visibility
measured16/100
Emerging · in Finance
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals42/100
Some gaps
Avg Prompt Score
8
across 167 prompts
AI Share of Voice
8%
across 167 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Finance
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.
Modeliks has meaningful AI-citation inputs for evaluation and trust via third-party review platforms (e.g., G2 and Capterra) and a strong LinkedIn presence, but it is missing key first-party evaluation surfaces that AI engines prefer for shortlist formation—especially crawlable pricing and structured comparison/evaluation content. The single highest-ROI fix is to ensure the pricing page and core evaluation pages are fully crawlable/SSR and to add/strengthen first-party “[Modeliks] vs [Competitor]” and “pricing” structured Q&A blocks so AI can cite Modeliks directly for evaluation queries.
Based on audit of modeliks.com · Sep 29, 2026