Auto-moderation rules are simple, customizable conditions that automatically classify (label) a post when it meets certain criteria. Instead of waiting for a human to review every item, the system checks things like keywords, image signals, or other identifiers and applies the right label on its own.
This helps quickly sort unmoderated posts, reduces repetitive manual work, and keeps your moderation process consistent from the moment a post enters the system.
Roles & Permissions:
All users can view rules
Only Admins can modify rules
When a post matches one of your rules:
Zeal automatically applies a Label to the post (e.g: Counterfeit, Trademark Abuse, Official store)
Rules are built from conditions, combined with AND logic (all conditions must be met).
When a post matches multiple rules, a risk-based hierarchy ensures the correct label is applied (rules run in the order you create them).
Default Rules are created for all organisations to help identify Legitimate Sellers as well as flag Counterfeit, Trademark, or Design Infringement risks.
Auto-Moderation rules are designed to:
Classifying trusted information (whitelists)—like potential authorized sellers or legitimate stores
Automatically label high-confidence infringements (e.g., Counterfeits) that meet certain conditions.
Note: In this first iteration, Auto-Moderation Rules apply to Posts only.
Rules can be built using any combination of the following parameters:
Logo detected
Image labels (e.g., “counterfeit,” “official photo,” “unauthorized use” or others)
Post description & title (keywords, phrases, risky language)
Obfuscated brand name indicators
Moderation status (Moderated / Checked / Validated)
Post label (e.g., “Counterfeit,” “Copyright Infringement,” “Trademark Abuse”, others)
Price
Stock count
Post tags
Account is Checked or Validated
Account label (e.g., “Repeat Offender”)
Follower count thresholds
These data points can be combined to classify very specific infringement scenarios.
Go to Settings → Moderation → Auto-moderation.
Add a new rule → Click the + icon.
Name and label the rule
Rule Name: A descriptive name for the rule.
Label: The classification to apply when the rule is triggered (e.g., Counterfeit, Legitimate).
Click + to add conditions.
Example: Counterfeit - Low Price Products
Post Description and Title → any in → [gucci, g u c c i, gucc1, guci, gucki, gucchi, guci̇, guccy]
Image → Logo Detected → is true
Image Label → contains → Counterfeit
Price → between → 50 USD and 150 USD (based on Gucci’s typical retail range — e.g., handbags or shoes rarely priced this low)
Stock Counter → greater than → 100
Post Product Condition → is in → [“New”]
Account Label → none in → [“Legitimate”, “Official Store”, “Authorized Seller”]
Click Add.
Set rule priority - Drag and drop rules to adjust their order.
Priority determines which rule applies first if a post matches multiple rules.
Take a risk-based approach: lower-risk rules should be placed higher.
Example:
#4 Authorized Seller Accounts → Label as Official Store
#5 Counterfeit – Low-Price Gucci Products → Label as Counterfeit
Since verified or authorized accounts represent legitimate sources, the Official Store rule (#4) is placed above counterfeit detection (#5) to prevent mis-labeling genuine sellers.
Activate the rule
Click the rule Toggle:ON to Active.
Once active, the rule applies to all historical and future listings that meet its conditions.
We’re expanding automation even further:
Additional data points & signals
More account-level insights
Smarter combinations of image, text, and behavioral markers
Auto-Moderation Rules for Accounts
Auto-Moderation Rules for Websites
See in a post which specific rule triggered an auto-moderation action
