AI Visibility
measured34/100
Emerging · in Finance
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals3/100
Weak fundamentals
Avg Prompt Score
37
across 288 prompts
AI Share of Voice
37%
across 288 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.
Smarsh is a B2B communications governance/archiving SaaS with strong third-party credibility signals (G2 seller profile with 36 reviews and Grid leader badge, plus Gartner Magic Quadrant Leader messaging). The biggest AI-citation risk is evaluation-stage “shortlist” queries that require crawlable first-party comparison/evaluation content and structured product/pricing signals (notably: no clearly discoverable first-party “Smarsh vs competitor” pages and no evidence of SoftwareApplication/FAQPage schema). Highest-ROI fix: publish/SSR-index first-party evaluation pages (brand-led comparisons + pricing/FAQ) and add B2B SoftwareApplication + FAQPage structured data so AI engines can cite Smarsh directly for “alternatives to” and “pricing” patterns.
Based on audit of smarsh.com · Oct 9, 2026