AI Visibility
measured29/100
Emerging · in Vulnerability Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals50/100
Some gaps
Avg Prompt Score
10
across 163 prompts
AI Share of Voice
10%
across 163 prompts
Critical Issues
7
critical + high
How AI Visibility breaks down
in Vulnerability Management
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.
Faraday.ai is a B2B SaaS platform and already has meaningful AI-citation signals on third-party review/analyst surfaces (e.g., Gartner Peer Insights shows 10 reviews at 4.4). The highest-ROI fix is to add/ensure crawlable first-party evaluation content—especially SoftwareApplication/FAQPage structured pages and brand-led comparison pages—because evaluation-stage queries ("[Brand] pricing", "[Brand] vs [Competitor]", "alternatives to [Brand]") are the most likely to fail when AI can’t reliably extract structured, crawlable answers from faraday.ai.
Based on audit of faraday.ai · Sep 1, 2026