AI Visibility
measured22/100
Emerging · in Sales
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals55/100
Some gaps
Avg Prompt Score
9
across 152 prompts
AI Share of Voice
9%
across 152 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Sales
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.
BatchGeo is likely to be cited by AI engines for evaluation-stage queries because it has strong first-party pricing (public tiers) and very large G2 review volume (1,047+ reviews). The biggest citation risk is conversion-stage and evaluation-stage “comparison” queries: the domain appears to rely on third-party comparison surfaces (e.g., Capterra compare pages) rather than clearly indexed first-party “[Brand] vs [Competitor]” pages, and structured-data signals (SoftwareApplication/FAQPage) could not be verified via search.
Based on audit of batchgeo.com · Oct 6, 2026