AI Visibility
measured10/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
5
across 386 prompts
AI Share of Voice
2%
across 367 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in AI Applications
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.
Trengo is highly likely to be cited for evaluation-stage prompts because it has strong third-party authority (G2: 245 reviews, 4.3★) and first-party comparison content like “Trengo vs Zendesk” that directly matches buyer queries. The single highest-ROI fix is to strengthen structured evaluation surfaces (SoftwareApplication + FAQPage) and ensure pricing/comparison pages are fully crawlable/SSR so AI engines can reliably extract “How much does Trengo cost?” and “How does Trengo compare to Zendesk/Freshdesk?” without falling back to competitors.
Based on audit of trengo.com · Apr 2, 2026