AI Visibility
measured16/100
Emerging · in Marketing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals44/100
Some gaps
Avg Prompt Score
5
across 241 prompts
AI Share of Voice
5%
across 241 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Marketing
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.
SciLeads is a B2B lead generation/market intelligence SaaS for life sciences, and it has meaningful AI citation signals via a G2 presence and active first-party content. The biggest risk for AI citation is evaluation-stage sourcing: the site’s pricing is “request/demo” gated (no public tiers), and there’s no evidence of first-party SoftwareApplication/FAQPage structured data or first-party comparison pages that AI can reliably cite for “vs/alternatives/pricing” queries.
Based on audit of scileads.com · Oct 7, 2026