AI Visibility
measured64/100
Frequently Cited · in Video Editing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals21/100
Weak fundamentals
Avg Prompt Score
62
across 627 prompts
AI Share of Voice
62%
across 627 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Video Editing
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.
frame.io is already strongly cited for evaluation-stage queries via high-volume G2 and secondary review sources (e.g., 173 G2 reviews, 97 TrustRadius reviews, 80 Capterra reviews). The biggest AI citation risk is conversion-stage and evaluation-stage “how much / pricing / structured evaluation” queries: while pricing is publicly crawlable with explicit tiers ($0/$15/$25), there’s no clear evidence (from live checks) of SoftwareApplication/FAQPage/aggregateRating structured data on first-party pages—so AI engines may under-cite frame.io for pricing and comparison prompts.
Based on audit of frame.io · May 8, 2026