AI Visibility
measured16/100
Emerging · in Commerce
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals49/100
Some gaps
Avg Prompt Score
8
across 167 prompts
AI Share of Voice
8%
across 167 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Commerce
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.
RepSpark is a B2B wholesale eCommerce platform with strong AI-citation inputs from G2 (19 reviews, 4.8/5) and active evaluation content like first-party “RepSpark vs [competitor]” pages. The biggest risk to appearing in AI answers for evaluation/conversion queries is missing/uncertain structured data + crawlability signals (robots.txt/llms.txt/sitemaps not verifiable here) and pricing transparency gaps (pricing is tiered but not clearly public in a way AI can reliably cite).
Based on audit of repspark.com · Oct 9, 2026