AI Visibility
measured11/100
Emerging · in Video Editing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals9/100
Weak fundamentals
Avg Prompt Score
4
across 307 prompts
AI Share of Voice
4%
across 307 prompts
Critical Issues
4
critical + high
Shortlist Position
0/53
Not Visible · Content Marketing Discovery
How AI Visibility breaks down
in Video Editing
Composite = 60% coverage + 40% engine breadth, 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.
Per-stage performance
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.
Categories BIGVU is visible in
2Your visibility gap
BIGVU surfaces in 0/53 Content Marketing discovery prompts. Claim this profile to see which 53 prompts you're missing and how to win them.
Executive summary
BIGVU has meaningful B2B citation signals (notably G2 presence and a publicly crawlable pricing page), but it is effectively invisible for high-intent enterprise/content-marketing software queries like “best content marketing software for SaaS companies” and “content marketing software for enterprise-level organizations.” The single highest-ROI fix is to build first-party, evaluation-stage “Content Marketing Software” pages (including “what it is/how it works,” “for SaaS/enterprise/digital marketing teams,” and “strategy” guides) that explicitly map BIGVU to content marketing workflows—so AI engines can cite BIGVU for those category queries instead of only for video-tool queries.
Based on audit of bigvu.tv · May 5, 2026