AI Visibility
measured16/100
Emerging · in Marketing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
4
across 321 prompts
AI Share of Voice
4%
across 321 prompts
Critical Issues
3
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.
Brandchamp.io is a B2B SaaS (ambassador/advocacy + referral/affiliate management) and already has meaningful AI-citation inputs via G2 and Gartner Peer Insights. The biggest risk to appearing in evaluation-stage AI answers is missing/weak first-party evaluation surfaces (especially structured comparison + schema/FAQ patterns) and limited secondary review depth (TrustRadius not clearly evidenced). Highest-ROI fix: ensure first-party evaluation content is crawlable and schema-complete (SoftwareApplication + FAQPage for pricing/integrations/fit) so AI engines can cite BrandChamp directly for “alternatives” and “does it integrate with X” queries.
Based on audit of brandchamp.io · Oct 9, 2026