AI Visibility
measured34/100
Emerging · in Device Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals2/100
Weak fundamentals
Avg Prompt Score
9
across 178 prompts
AI Share of Voice
9%
across 178 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Device Management
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.
Addigy is a B2B Apple device management (MDM/DDM/RMM + security) SaaS with strong AI citation signals from G2 (225 reviews) and Gartner Peer Insights (Addigy Platform product page exists). The biggest risk to appearing in evaluation-stage “alternatives to / best [category]” shortlists is missing/uncertain first-party AI-evaluation surfaces (notably SoftwareApplication/FAQPage structured data and crawlability checks like llms.txt/robots.txt), which can prevent AI engines from confidently citing Addigy for comparison and pricing-intent queries.
Based on audit of addigy.com · Aug 10, 2026