AI Visibility
measured23/100
Emerging · in Business Intelligence
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
14
across 159 prompts
AI Share of Voice
14%
across 159 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.
Lightdash is a B2B BI/semantic-layer SaaS with strong AI-citation inputs from third-party review ecosystems (notably TrustRadius) and a clearly crawlable pricing page with specific tiers. The biggest risk to appearing in AI evaluation shortlists is missing/unclear first-party evaluation surfaces (especially SoftwareApplication/FAQPage structured data and robust first-party comparison pages), which are what models use for “alternatives to” and “vs” queries.
Based on audit of lightdash.com · Oct 3, 2026