AI Visibility
measured16/100
Emerging · in Finance
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
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 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.
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.
Executive summary
Ziggma has meaningful AI-citation inputs for evaluation-style queries via its first-party pricing page (public tiers) and a strong G2 review footprint (18 reviews, 4.7/5). The biggest AI-visibility risk is that Ziggma appears to be positioned more as a consumer/self-directed investing tool than a B2B SaaS, so it may be under-cited for “best [category] software for businesses” and “enterprise evaluation” query patterns; the highest-ROI fix is to add crawlable, structured evaluation content (FAQPage + comparison blocks) that explicitly answers “for whom / for what use case” and “how it compares” in a way AI engines can quote.
Based on audit of ziggma.com · Oct 2, 2026