AI Visibility
measured25/100
Emerging · in Software Marketplace
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals43/100
Some gaps
Avg Prompt Score
14
across 170 prompts
AI Share of Voice
14%
across 170 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Software Marketplace
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.
VideoHive is likely to be cited by AI engines for “best stock footage / After Effects templates” style queries because it has a strong third-party review footprint on G2 (VideoHive shows 13 reviews at 4.2/5). The biggest citation risk is evaluation-stage Q&A: VideoHive lacks clearly crawlable, brand-led “VideoHive vs competitor” and structured FAQ-style pages that AI can quote directly.
Based on audit of videohive.net · Oct 5, 2026