AI Visibility
measured18/100
Emerging · in Forms & Surveys
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
4
across 327 prompts
AI Share of Voice
4%
across 327 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Forms & Surveys
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.
Hello Bar is likely to be cited by AI engines for evaluation-stage queries because it has a G2 seller profile with 30 reviews and a 4.6/5 rating, plus first-party pricing with explicit tiers and prices. The biggest risk for “conversion” and “evaluation” queries is missing/unclear structured-data + AI-discoverability files (SoftwareApplication/FAQPage/llms.txt/robots.txt verification), which can prevent AI engines from confidently extracting product/pricing details.
Based on audit of hellobar.com · Sep 1, 2026