Subcategory · AI Citation Index
Video Editing
The video editing landscape presents a methodological paradox: robust brand recognition (71% shortlist rate for Premiere Elements, 70% for DaVinci Resolve) coupled with complete absence of organic prompt data suggests these tools are catalogued rather than actively sought through conversational AI. Maximum model diversity (4) across top performers indicates broad training data representation, yet the 0% prompt coverage exposes a critical gap between what models know and what users actually ask for in this domain.
176 discovery queries · 196 head-to-heads · refreshed Sep 24, 2026
Discovery stage
The shortlist
Across 176 buyer-style "Video Editing" queries
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Signal by intent
By topic
Top 5 most-cited brands per intent cluster. Brands with zero citations in a topic are not shown.
Evaluation stage
Head-to-head
How often AI cites each brand across uniform category evaluation prompts · median 4/100
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Each brand's score is the share of category evaluation prompts where AI cited them across all four engines — the same prompt pool for every brand. Brands above the median citation rate have stronger presence in evaluation-stage queries.
Trends
Over the last 12 months
Brands to know
In this category
Premiere Elements
Leads shortlist rates at 71% with maximum model diversity, suggesting strong consensus as a recognized consumer-grade editing solution despite zero organic demand signals.
Read brand profile →DaVinci Resolve
Matches Premiere Elements at 70% shortlist rate with professional-grade positioning, though duplicate entries at 35% indicate potential data quality issues.
Read brand profile →Frame.io
Achieves 48% shortlist rate as a workflow collaboration platform, representing the category's expansion beyond pure editing into review and approval processes.
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