AI Visibility
measured48/100
Frequently Cited · in Insurance Tech
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals55/100
Some gaps
Avg Prompt Score
49
across 132 prompts
AI Share of Voice
49%
across 116 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in Insurance Tech
Composite = 60% coverage + 40% engine breadth, 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.
Applied Systems is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (1,652 reviews, 4.4/5, Grid Leader) and an active LinkedIn company authority signal (51,061 followers). The biggest citation risk is evaluation queries that require first-party, crawlable comparison/pricing content (e.g., “[Applied Systems] vs [competitor]” and “Applied Systems pricing”); the site appears to rely heavily on contact-gated flows and lacks easily discoverable SoftwareApplication/FAQPage structured-data signals in public search results.
Based on audit of appliedsystems.com · May 2, 2026