AI Visibility
measured18/100
Emerging · in Nonprofit Software
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
4
across 345 prompts
AI Share of Voice
4%
across 345 prompts
Critical Issues
3
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.
ThankView is already well-positioned to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence (notably G2) and multiple outcome-dense customer stories on its site. The biggest risk pattern is conversion-stage citation for pricing and evaluation-stage citation for first-party comparisons ("[Brand] vs [Competitor]"), because the site appears to lack clearly crawlable first-party comparison pages and no SoftwareApplication/FAQPage structured-data evidence was found in live search.
Based on audit of thankview.com · Sep 1, 2026