AI Visibility
measured18/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals49/100
Some gaps
Avg Prompt Score
5
across 303 prompts
AI Share of Voice
5%
across 303 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Applications
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.
RankIQ is likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority on G2 (532 reviews, 4.9/5). The single highest-ROI fix is to add/ensure crawlable first-party evaluation content (especially brand-led comparison pages and schema) so AI can cite rankiq.com directly for “RankIQ vs X” and “RankIQ pricing” patterns rather than relying mostly on G2.
Based on audit of rankiq.com · Sep 2, 2026