AI Visibility
measured28/100
Emerging · in Workflow Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
16
across 170 prompts
AI Share of Voice
16%
across 170 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Workflow 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.
Vic.ai is moderately likely to be cited by AI engines for evaluation-stage queries because it has a live G2 presence (26 reviews shown on its G2 seller page) and measurable ROI claims on its site. The biggest citation risk is conversion-stage visibility: there is no clearly crawlable, public pricing page surfaced in search results, which prevents AI engines from answering “Vic.ai pricing/cost” queries from first-party sources.
Based on audit of vic.ai · Oct 2, 2026