AI Visibility
measured11/100
Emerging · in Feedback Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals2/100
Weak fundamentals
Avg Prompt Score
12
across 334 prompts
AI Share of Voice
12%
across 334 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Feedback Management
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.
Featurebase is already reasonably citeable for evaluation-stage queries because it has a G2 profile with 49 reviews and publicly documented seat-based pricing ($29/$59/$99 per seat per month tiers). The biggest risk is conversion-stage citation for “Featurebase pricing” and evaluation-stage “Featurebase vs competitor” queries if first-party comparison pages and B2B structured data (SoftwareApplication/FAQPage) are missing or not crawlable by AI engines.
Based on audit of featurebase.app · Jul 14, 2026