AI Visibility
measured41/100
Frequently Cited · in Social Media Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals12/100
Weak fundamentals
Avg Prompt Score
69
across 490 prompts
AI Share of Voice
69%
across 490 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in Social Media 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.
ON Social is a B2B creator-economy data/API platform, but its AI citation readiness is constrained by weak third-party review/analyst coverage signals (e.g., G2 shows only 16 reviews) and likely missing first-party evaluation assets (no discoverable SoftwareApplication/FAQPage schema found via search). The highest-ROI fix is to create/ship crawlable evaluation pages (brand-led “ON Social vs …” and “pricing” details) with proper schema so AI engines can cite ON Social for evaluation-stage queries.
Based on audit of onsocial.ai · Oct 9, 2026