Stage 1: Batch First, Normalize Second
Generate metadata in batches to save time, then normalize titles and keyword order across the whole set. Consistency matters more than trying to perfect every file from scratch.
Stage 2: Use a Keyword Hierarchy
On Adobe Stock, the first 10 keywords are the most important, so make them your core cluster. The remaining keywords can cover style, mood, and supporting context. This keeps relevance high without overstuffing.
Stage 3: Avoid Auto-Ordering Traps
Adobe warns not to alphabetize keywords, which can reduce relevance on platforms that value order. Reorder your most important terms in the contributor portal before you submit.
Stage 4: Right-Size the Keyword Count
Adobe suggests focusing on accuracy and typically landing around 15–35 keywords, even though up to about 50 are allowed. This keeps metadata dense and avoids diluted relevance.
Stage 5: QA the High-Impact Fields
Review the title, the first keywords, and the category. If these are correct, the asset will usually index well even if the long-tail keywords are lighter.
Where StockTag Fits
Use Metadata Studio for batch generation and apply templates for repeated categories. Use History to compare revisions quickly. When you are ready to scale, check Pricing for annual plans or BYOK for predictable costs.
