AI Visibility
measured69/100
Frequently Cited · in Nonprofit Software
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
98
across 404 prompts
AI Share of Voice
100%
across 386 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in Nonprofit Software
Composite = 60% coverage + 40% engine breadth, 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.
Per-stage performance
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.
Executive summary
Blackbaud is very likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence on G2 (1,297 reviews on G2 seller page) and substantial TrustRadius review volume (e.g., 735 reviews for Raiser's Edge NXT). The single highest-ROI fix is to improve first-party evaluation content for AI (especially SoftwareApplication/FAQPage structured data and crawlable pricing/comparison pages), because pricing is currently a quote form (no public tiers) and first-party comparison pages exist but must be optimized for AI extractability.
Based on audit of blackbaud.com · May 7, 2026