AI Visibility
measured18/100
Emerging · in Demand Planning
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals7/100
Weak fundamentals
Avg Prompt Score
21
across 154 prompts
AI Share of Voice
21%
across 154 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Demand Planning
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.
GMDH is strongly positioned for AI citation on evaluation-stage shortlist queries because it has 260 G2 reviews at 4.4★ and is already indexed in G2 category pages. The biggest citation risk is conversion-stage and evaluation-stage self-citation: the pricing page is “Request pricing / customized pricing” (no public tiers), and there is at least one first-party comparison page for Netstock that is likely to be learnable as a competitor association. Highest-ROI fix: publish crawlable, tiered pricing (or at least a public pricing range) and add brand-led, evaluation-focused comparison/FAQ blocks for each required competitor query string.
Based on audit of gmdhsoftware.com · May 7, 2026