AI Visibility
measured16/100
Emerging · in Commerce
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals41/100
Some gaps
Avg Prompt Score
0
across 302 prompts
AI Share of Voice
0%
across 302 prompts
Critical Issues
5
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.
dataspark.co appears to be a B2B SaaS for Walmart/Walmart Grocery seller analytics and pricing/promotion intelligence, with public pricing tiers and a small but present G2 footprint (13 reviews). The biggest AI-citation risk is evaluation-stage coverage: there are no clearly indexed first-party comparison pages and no evidence of SoftwareApplication/FAQ structured data, so AI engines have fewer crawlable surfaces to cite for “alternatives” and “vs” queries.
Based on audit of dataspark.co · Sep 29, 2026