AI Visibility
measured16/100
Emerging · in UI/UX Design
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals43/100
Some gaps
Avg Prompt Score
3
across 389 prompts
AI Share of Voice
3%
across 389 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in UI/UX Design
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.
Firespring is likely to be cited by AI engines for nonprofit website/fundraising tooling queries because it has an active G2 profile (4.7/5 from 10 reviews) and public pricing pages with specific tiers. The biggest citation risk is evaluation-stage “brand vs competitor” and “software application” extraction: the site has pricing and G2 presence, but no evidence of SoftwareApplication/FAQPage structured data and no clear first-party comparison pages on firespring.com.
Based on audit of firespring.com · Aug 30, 2026