AI Visibility
measured60/100
Frequently Cited
measured from this brand's audit prompts
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
52
across 16 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in its category
Composite = 50% coverage + 30% engine breadth + 20% position, measured across this brand's own audit prompts (it isn't in a tracked category rollup yet). 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.
Per-stage performance
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.
Executive summary
Actian is likely to be cited for evaluation-stage queries (e.g., “Actian vs Collibra”) because it has first-party comparison content and publicly accessible pricing for at least one product (Actian AI Analyst). The biggest AI-citation risk is that G2 review volume is extremely low for Actian Data Platform (only 4 reviews and G2 explicitly says there aren’t enough reviews for buying insight), which will suppress “best [category] software” and shortlist-style citations; the single highest-ROI fix is to expand/strengthen G2 review coverage for the core Actian products that match the category queries buyers ask.
Based on audit of actian.com · May 6, 2026