Statistic · AI Tagging · From the corpus
5+tags / asset (mean)
Average AI-generated tags per creative asset in 2026.
Across the 1M+ creative assets in the DAM LLM research corpus (data partner: Uplifted), the mean number of AI-generated tags per asset is 5 or more. Tags span objects, scene/mood, brand recognition, and — for video — clip-level tags including motion, transcription cues, and shot composition.
AI tag categories represented in the corpus
Indicative breakdown · sample n=1M+ assets · DAM LLM Research, May 2026
Percentages show share of assets that have at least one tag in each category. Categories overlap; an asset typically has tags in 4-6 categories. Source: Uplifted corpus, anonymized aggregate. Methodology →
Why this matters
The volume and structure of AI-generated tags is what makes natural-language asset retrieval possible. With 5+ tags per asset across millions of assets, an LLM can answer queries like "show me top-performing hooks from last quarter with a human face in frame and a bright outdoor background" grounded in real metadata — no manual tagging required.
The corpus also lets us benchmark AI tagging accuracy (see Report 03, in preparation) by comparing AI tags to human-verified subsets.
Cite this statistic
DAM LLM Research. "Average AI tags per creative asset, 2026." damllm.ai, 2026. https://damllm.ai/statistics/ai-tags-per-asset/