Subcategory · AI Citation Index
Video Editing
The video editing landscape demonstrates high model agreement on established players like Premiere Elements (71% shortlist rate) and DaVinci Resolve (70%), yet the complete absence of prompt coverage exposes a fundamental disconnect: models are recommending based on training data about video editing software, not responding to real user needs. With only 12 brands reaching evaluation stage from 37 consensus picks, the category appears over-indexed on brand recognition while under-serving specific editing workflows, skill levels, or use cases that would emerge from actual prompts.
176 discovery queries · 196 head-to-heads · refreshed Oct 22, 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 shortlisting at 71% despite Adobe's consumer-focused positioning, suggesting models default to brand recognition in absence of specific user requirements.
Read brand profile →DaVinci Resolve
Matches Premiere Elements at 70% shortlist rate, likely reflecting its unique freemium professional model and color grading heritage.
Read brand profile →descript.com
Achieves 48% shortlist rate as transcript-based editing represents a distinct workflow paradigm that models recognize as differentiated.
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