AI Visibility
measured8/100
Invisible · in Marketing Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
9
across 378 prompts
AI Share of Voice
7%
across 357 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Marketing Automation
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.
Vendasta is strongly positioned to be cited by AI engines for evaluation-stage queries because it has a large G2 review footprint (473 reviews) and a first-party comparison hub at /compare/ that explicitly frames Vendasta as the recommended solution. The single highest-ROI fix is to strengthen structured data for B2B evaluation (SoftwareApplication + pricing/offer markup) and ensure it’s consistently present across product pages so AI engines can reliably extract “what it is” and “how much it costs” answers.
Based on audit of vendasta.com · Apr 1, 2026