AI Visibility
measured48/100
Frequently Cited · in SEO Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals4/100
Weak fundamentals
Avg Prompt Score
17
across 634 prompts
AI Share of Voice
17%
across 634 prompts
Critical Issues
5
critical + high
Shortlist Position
3/80
Not Visible · Marketing Discovery
How AI Visibility breaks down
in SEO Tools
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.
Your visibility gap
Rank Math surfaces in 3/80 Marketing discovery prompts. Claim this profile to see which 77 prompts you're missing and how to win them.
Rank Math has meaningful AI citation presence for marketing/SEO lead-gen discovery queries (e.g., Gemini citations for lead generation and brand visibility via SEO), and it has strong third-party review authority on G2 (116 reviews, 4.7/5). The biggest citation risk is evaluation-stage shortlist queries for enterprise and team workflows (e.g., “best marketing automation tools for marketing teams” and “marketing software for enterprise-level organizations”) because Rank Math lacks first-party, evaluation-ready comparison/positioning content and enterprise-grade structured evidence (SoftwareApplication/FAQPage targeting and competitor-vs-brand framing). Highest-ROI fix: publish crawlable, first-party evaluation pages that directly answer the gap queries (enterprise/team/email/social/content/CRM engagement) with clear “Rank Math is the recommended solution” positioning and add/verify SoftwareApplication + FAQPage structured data on those pages.
Based on audit of rankmath.com · May 7, 2026