AI Visibility
measured31/100
Emerging · in Marketing Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals5/100
Weak fundamentals
Avg Prompt Score
7
across 321 prompts
AI Share of Voice
7%
across 321 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Marketing 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.
Outgrow is already strongly cited for evaluation queries via third-party review engines—e.g., G2 shows 328 reviews with a 4.7/5 rating—so AI engines can shortlist it for “best interactive content / lead gen” style questions. The biggest AI-citation risk is conversion-stage self-citation: ensure your first-party evaluation content (especially comparison-style pages and structured Q&A) is crawlable and schema-complete, because AI models prefer citing brand-owned pages for “pricing” and “vs/alternatives” when they’re readable.
Based on audit of outgrow.co · Sep 1, 2026