AI Visibility
measured43/100
Frequently Cited · in Digital Asset Management
measured from this brand's audit prompts
AEO Readiness
fundamentals68/100
Solid fundamentals
Avg Prompt Score
3
across 339 prompts
AI Share of Voice
1%
across 323 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Digital Asset Management
Composite = 50% coverage + 30% engine breadth + 20% position, measured across this brand's own audit prompts (it isn't in a tracked category rollup yet). 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.
Bynder is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (e.g., G2 and TrustRadius) and visible enterprise analyst positioning (Forrester Wave mention on its site). The single highest-ROI fix is to add first-party, brand-led comparison and evaluation pages (e.g., “Bynder vs [top DAM alternatives]”) plus SoftwareApplication/FAQPage structured data so AI can cite Bynder directly for “vs/alternatives/pricing” queries rather than relying on third parties.
Based on audit of bynder.com · Jun 4, 2026