Shutterstock Metadata Guide 2026

Shutterstock's search algorithm behaves differently than Adobe Stock's. While Adobe prioritizes title phrasing, Shutterstock leans heavily on keyword variety and specific technical terms (when appropriate) and correct categorization.

1. The Commercial vs. Editorial Split

Unlike some platforms, Shutterstock draws a hard line between Commercial and Editorial metadata.

Note: Metadataly focuses primarily on generating Commercial metadata, which is safe for all platforms.

2. Keyword Strategy: Volume & Variety

Shutterstock allows up to 50 keywords, though Metadataly generates 49 keywords (compatible with both Shutterstock and Adobe Stock). Unlike Adobe, Shutterstock's auto-suggestions can sometimes be vague. Metadataly's AI fills this gap by generating highly specific, descriptive keywords that humans often miss.

Differing from Adobe:

• English UK vs. US: Shutterstock auto-translates, but starting with US English (Color vs Colour) is standard practice. Metadataly defaults to US English standards.
• Conceptual Keywords: Shutterstock loves concept words. Words like "Leadership," "Innovation," "Freedom," and "Success" rank highly if the image depicts them visually.

3. Categories Matter More Here

On Shutterstock, selecting the wrong category can bury your image. You get to pick two. Metadataly suggests the most appropriate primary category, usually mapping to "Business", "People", or "Technology" for high value.

4. Recent "Data Licensing" Opportunity

Shutterstock now licenses data for AI training. This means your metadata needs to be literally accurate. If it's a "red apple," say "red apple." Don't just say "fruit."

Precise, descriptive metadata increases the chance of your content being selected for dataset licensing, providing passive income beyond standard downloads.