AI Visibility
measured33/100
Emerging · in Device Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals61/100
Some gaps
Avg Prompt Score
7
across 679 prompts
AI Share of Voice
7%
across 679 prompts
Critical Issues
2
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.
Particle.io is a B2B IoT platform with strong AI-citation inputs from G2 (seller page exists) and first-party pricing that is publicly crawlable with explicit tiers. The biggest risk for AI evaluation-stage queries is missing/uncertain first-party SoftwareApplication/FAQ structured data and limited evidence of enterprise analyst coverage (e.g., Gartner Magic Quadrant/Forrester Wave/IDC MarketScape). Highest-ROI fix: add/verify SoftwareApplication + FAQPage schema on key evaluation pages (what it is, integrations, pricing, and vs-competitor) and ensure those pages are fully crawlable/SSR.
Based on audit of particle.io · Oct 7, 2026