Not sure where to start? These are the four scenarios we see most often, with the rules teams typically combine for each and the setup that fits. Every scenario works with both one-time runs (audit what you have) and ongoing moderation (check new content automatically).
Scaling vendor or partner submissions
Marketplaces and platforms receive images from vendors, partners, and external contributors in volumes no human team can review consistently. Moderation validates every submission against the same standard, automatically.
Rules teams typically combine
Image Quality and Image Size - reject blurry or undersized submissions.
Background Color - enforce white (or your required) backgrounds.
Centered Product and Aspect Ratio - keep listings framed consistently.
Text Detection and Watermark Detection - block promotional overlays, badges, and watermarked imagery.
Originality Check and AI-Generated Image Detection - catch web-sourced or AI-generated product photos.
AI Content Detection - anything specific to your catalog, phrased as a question (for example, "Is this a screenshot?").
Setup that fits: save these rules as a policy, then run it as ongoing moderation on the folder where submissions arrive. Every new upload is checked on arrival, and your team reviews only what lands in Needs review.
Launching user-generated content (UGC)
When you open the door to user uploads, you can't predict what comes through it. Moderation reviews every submission before it's published, so unsafe or unusable content never goes live.
Rules teams typically combine
AI Content Detection - describe what's unacceptable in your own words ("Does this image contain violent or explicit content?").
Image Quality - filter out photos too poor to use.
AI-Generated Image Detection - flag AI-generated submissions where your campaign requires real photos.
Originality Check - catch images taken from the web instead of shot by the user.
Setup that fits: ongoing moderation on the upload folder. Set rule Review thresholds to Low so clear cases are approved or rejected automatically, and your team only sees the borderline ones - that's what makes UGC safe to scale.
Enforcing brand guidelines
When campaigns are produced by multiple teams and agencies, keeping every asset on-guideline by hand doesn't scale. Moderation turns your visual guidelines into rules that are checked the same way every time.
Rules teams typically combine
Brand Element Placement - the logo or promo text is where your guidelines say, at the right size, with clean spacing.
Background Color - backgrounds match your brand palette.
Centered Product and Aspect Ratio - composition and format requirements.
AI Content Detection - tone and style requirements you can phrase as questions ("Does this image show the product in an outdoor setting?").
Setup that fits: one policy per content type (for example, "Campaign heroes" and "Product tiles"), applied as a one-time run on each campaign batch before launch - or as ongoing moderation on the delivery folder agencies upload into.
Compliance and risk prevention
Images can expose your organization to legal or reputational risk - unlicensed imagery, unauthorized logos, undisclosed AI generation. Moderation surfaces those risks before assets are published, and can audit what's already live.
Rules teams typically combine
Originality Check - images that already exist on the web or on stock-photo sites (use "Stock-photo sites only" to target unlicensed stock).
Watermark Detection - watermarked imagery is rarely licensed for use.
Well-Known Logo Detection - unauthorized third-party logos and marks.
AI-Generated Image Detection - AI-generated content that violates policy or requires labeling.
Setup that fits: start with a one-time run across your existing library to find what's already at risk, then keep an ongoing automation on new content. Save results as metadata so downstream teams can see each asset's status in the Media Library.