AI Visibility
measured16/100
Emerging · in Feedback Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals51/100
Some gaps
Avg Prompt Score
1
across 676 prompts
AI Share of Voice
0%
across 660 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Feedback 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.
SMG is a B2B experience management (CX/BX/EX) software vendor with meaningful third-party visibility (e.g., a G2 seller page exists and Gartner Peer Insights vendor page exists). The biggest AI-citation risk is evaluation-stage “brand vs competitor” and “pricing” queries: the domain’s first-party comparison/pricing surfaces are not clearly discoverable/crawlable from live search signals, which prevents AI engines from citing SMG directly for shortlist and cost questions.
Based on audit of smg.com · Aug 29, 2026