[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Bynder
ProductCitation IndexAI InfluenceBlogBook
Claim profile →

AEO Score

68

Strong Presence

Avg Prompt Score

99

across 413 prompts

AI Share of Voice

100%

across 397 prompts

Critical Issues

5

critical + high

Per-stage performance

🔍Discovery
271 category
Cited100%271/271
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus—
Competitors0.6avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.5avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.8avg/cited
Sentiment—no data

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.

Executive summary

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

Built for The Citation Economy