AI Visibility
measured73/100
Frequently Cited · in Business Intelligence
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
58
across 1059 prompts
AI Share of Voice
58%
across 1041 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Business Intelligence
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.
Looker is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (G2 and Gartner Peer Insights) and clear B2B social proof via LinkedIn. The single highest-ROI fix is to strengthen first-party evaluation surfaces—especially crawlable, indexed “[Looker] vs [Competitor]” pages and SoftwareApplication/FAQPage structured data—because those are the most reliable drivers for “alternatives to Looker” and “Looker vs X” citation patterns.
Based on audit of looker.com · Apr 2, 2026