AI Visibility
measured18/100
Emerging · in Nonprofit Software
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals50/100
Some gaps
Avg Prompt Score
1
across 875 prompts
AI Share of Voice
1%
across 875 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Nonprofit Software
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.
iBabs is a B2B board/meeting management platform with meaningful AI-citation inputs from G2 (19 reviews, 4.6/5) and Capterra (59 reviews, 4.6/5). The biggest AI citation risk is evaluation-stage crawlability: the site has first-party comparison content (e.g., iBabs vs Microsoft Teams) and a public pricing page, but there is no evidence (from live search) of SoftwareApplication/FAQPage structured data and no evidence of G2/Capterra-style “vs competitor” pages that directly map to common AI evaluation prompts beyond a single competitor framing.
Based on audit of ibabs.com · Oct 2, 2026