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ProductCitation IndexAI InfluenceBlogBook
[unCited]/Blackbaud ResearchPoint
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

56

Growing Presence

Avg Prompt Score

10

across 97 prompts

AI Share of Voice

0%

across 79 prompts

Critical Issues

6

critical + high

Per-stage performance

🔍Discovery
84 brand-level
Cited6%5/84
Share of voice6%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus—
Competitors0.2avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data

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.

Categories Blackbaud ResearchPoint is visible in

1
  • Nonprofit Softwarenot yet measured→

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

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