AI Visibility
measured18/100
Emerging · in Email Marketing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
12
across 156 prompts
AI Share of Voice
12%
across 156 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Email Marketing
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.
phpList is likely to be cited for evaluation-stage queries (e.g., “phpList reviews” and “phpList pricing”) because it has a public pricing page with specific plan limits and a visible LinkedIn company presence. The biggest risk for AI citation is conversion/evaluation comparison queries that require first-party “[phpList] vs [competitor]” surfaces and structured product schema; right now, AI will rely mostly on third-party review pages and generic category knowledge.
Based on audit of phplist.com · Sep 30, 2026