AI Visibility
measured50/100
Frequently Cited · in Marketing Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals5/100
Weak fundamentals
Avg Prompt Score
65
across 709 prompts
AI Share of Voice
65%
across 709 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Marketing Analytics
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.
Triple Whale is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (479 reviews, 4.5/5) and first-party evaluation content like “Triple Whale vs. Northbeam” plus a publicly accessible pricing page with tiered plans. The single highest-ROI fix is to add/verify B2B-specific structured data (SoftwareApplication + FAQPage for evaluation queries) and ensure it’s consistently crawlable/SSR so AI Overviews can reliably extract product/pricing facts.
Based on audit of triplewhale.com · May 8, 2026