AI Visibility
measured18/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
7
across 183 prompts
AI Share of Voice
2%
across 167 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in AI Applications
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.
Keysight is likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (195 reviews, 4.4/5, Grid leader) and appears in Gartner Peer Insights for multiple enterprise markets. The single highest-ROI fix is to add/expand first-party, brand-led evaluation content for “Keysight vs competitor” and “Keysight pricing” query patterns (currently pricing is heavily gated by country/cookies and first-party SoftwareApplication/FAQ-style evaluation surfaces are not evident).
Based on audit of keysight.com · Aug 31, 2026