AI Visibility
measured18/100
Emerging · in Design
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
4
across 385 prompts
AI Share of Voice
4%
across 385 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Design
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.
ScreenPal has strong AI-citation foundations for evaluation-stage queries because it has a substantial G2 presence (138 reviews) and first-party comparison pages (e.g., ScreenPal vs Camtasia, ScreenPal vs Vidyard). The biggest risk for AI engines is conversion-stage and structured extraction: pricing is publicly described on comparison pages, but there’s no clear evidence (from live search) of crawlable SoftwareApplication/FAQPage schema or pricing-page structured data, which reduces the likelihood of being cited for “pricing/cost” and “how it works” prompts.
Based on audit of screenpal.com · Oct 5, 2026