AI Visibility
measured34/100
Emerging · in Web CMS
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals2/100
Weak fundamentals
Avg Prompt Score
14
across 179 prompts
AI Share of Voice
14%
across 179 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Web CMS
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.
WPML is strongly positioned for AI citation in evaluation-stage queries because it has substantial third-party review presence (e.g., G2 and Capterra) and first-party comparison content (e.g., “Comparing WPML to Free and Paid Alternatives” and “Best WordPress Translation Plugin”). The single highest-ROI fix is to strengthen/verify B2B-structured data for AI evaluation (SoftwareApplication + pricing/FAQ targeting) and ensure technical crawlability for AI bots across key pages, because schema/LLM-crawl reliability is the main remaining uncertainty.
Based on audit of wpml.org · Sep 30, 2026