AI Visibility
measured37/100
Emerging · in Data Warehouse
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals3/100
Weak fundamentals
Avg Prompt Score
19
across 176 prompts
AI Share of Voice
19%
across 176 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Data Warehouse
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.
Firebolt is a B2B cloud data warehouse vendor with strong AI-citation inputs from G2 (14 reviews, 4.5/5) and a publicly crawlable pricing page with specific compute/storage rates. The biggest risk for AI evaluation shortlists is missing/uncertain structured-data coverage (SoftwareApplication/FAQPage/aggregateRating) and limited review volume on secondary B2B review sites (e.g., TrustRadius shows only 2 reviews). Highest-ROI fix: add/verify SoftwareApplication + FAQPage + AggregateRating structured data across product/pricing pages so AI engines can confidently cite Firebolt for evaluation and pricing queries.
Based on audit of firebolt.io · Jun 9, 2026