AI Visibility
measured11/100
Emerging · in Knowledge Base
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals66/100
Solid fundamentals
Avg Prompt Score
85
across 37 prompts
AI Share of Voice
100%
across 21 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Knowledge Base
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.
iSpring is a well-known B2B eLearning software vendor with strong AI-citation inputs from G2 (799 reviews for iSpring Suite) and Gartner Peer Insights presence, plus active Reddit discussion and first-party comparison content. The biggest AI citation risk is evaluation-stage “brand vs competitor” and “pricing” queries where schema/SSR signals (SoftwareApplication/FAQPage) and crawlability of key pages (especially pricing) may be incomplete—fixing structured data + ensuring crawlable pricing/feature pages should be the highest-ROI step.
Based on audit of ispringsolutions.com · Jun 8, 2026