AI Visibility
measured18/100
Emerging · in ERP & Supply Chain
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
2
across 382 prompts
AI Share of Voice
2%
across 382 prompts
Critical Issues
5
critical + high
Shortlist Position
0/80
Not Visible · Content Marketing Discovery
How AI Visibility breaks down
in ERP & Supply Chain
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.
Your visibility gap
Databar.ai surfaces in 0/80 Content Marketing discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Databar.ai has strong B2B citation anchors via its G2 presence (10 reviews, 5★) and a publicly crawlable pricing page with explicit tiers ($99/mo Build, $495/mo Scale, Enterprise custom). The biggest AI citation risk is evaluation-stage coverage for category prompts (Content Marketing shortlist tier is Not Visible) and missing/unclear structured-data signals (no discoverable SoftwareApplication/FAQPage schema found in live search), which limits eligibility for “best AI sales assistant software” and “alternatives” style answers.
Based on audit of databar.ai · Aug 30, 2026