AI Visibility
measured16/100
Emerging · in Marketing Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals62/100
Some gaps
Avg Prompt Score
5
across 284 prompts
AI Share of Voice
5%
across 284 prompts
Critical Issues
1
critical + high
How AI Visibility breaks down
in Marketing Automation
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.
RedTrack is a B2B performance marketing tracking/attribution SaaS with strong AI-citation inputs from G2 (35 reviews on the seller page; 33–34 reviews on product review pages) and multiple first-party comparison pages (e.g., RedTrack vs Triple Whale). The single highest-ROI fix is to strengthen evaluation-stage structured extraction by adding/confirming SoftwareApplication + FAQPage schema coverage on key evaluation pages (especially pricing and comparison pages), since schema evidence was not found in live search.
Based on audit of redtrack.io · Jun 8, 2026