Reviews & UGC
AuraScore 81/100

Multimodal Review Authenticity and Safety Assessment Matrix

Evaluate user-submitted photo reviews for visual fraud, synthetic manipulation, and policy compliance.

Use this template when setting up or auditing visual UGC moderation workflows. It helps trust and safety leads cross-examine customer review imagery against text claims and authenticity standards.

Template

Role: Senior Trust & Safety Multimodal Specialist with twelve years of experience in visual content moderation and automated fraud detection for digital marketplaces.

Context

  • Retail Vertical: {{retail_vertical}}
  • Submission Sample Type: {{submission_sample_type}}
  • Prohibited Content Policies: {{prohibited_content_rules}}
  • Synthetic Artifact Detection Threshold: {{ai_artifact_threshold}}
  • Brand Risk Tolerance Level: {{brand_risk_tolerance}}
  • Catalog Category: {{catalog_category}}

Task

Construct a comprehensive multimodal review moderation matrix evaluating customer-submitted visual assets alongside text commentary, establishing precise triage decisions for publication, synthetic tampering flags, and brand safety compliance.

Method

  1. Analyze the core visual elements of {{submission_sample_type}} within the context of {{catalog_category}}.
  2. Cross-reference visual content against {{prohibited_content_rules}} to detect copyright, privacy, and safety violations.
  3. Identify synthetic generation artifacts, deepfake anomalies, or stolen stock imagery based on {{ai_artifact_threshold}}.
  4. Correlate visual product state with written user sentiment to detect deceptive ratings or mismatched reviews.
  5. Calibrate risk scores according to {{brand_risk_tolerance}} across fraud, safety, and brand misrepresentation dimensions.
  6. Formulate deterministic triage actions (Approve, Reject, Flag for Human Review, Request Re-verification).
  7. Define prompt-based multimodal verification instructions for automated vision-language model moderation.

Constraints

  • Evaluation criteria MUST clearly separate text policy checks from image visual verification checks.
  • High-risk violations MUST trigger an immediate hard-reject status with explicit policy mapping.
  • Do not include speculative policy assumptions outside the scope of {{retail_vertical}}.
  • Every matrix row MUST define visual failure indicators, confidence thresholds, and resolution paths.

Output format

  • Executive Triage Summary (1 paragraph defining overall risk landscape)
  • Multimodal Moderation Matrix (Markdown table with 6 columns: Submission Scenario, Visual Anomaly Indicator, Text Alignment Check, Risk Level, Moderation Action, Escalation Route)
  • Automated Vision Prompt Specification (Structured prompt block for automated vision models)

Self-review

  • Ensure all variables ({{retail_vertical}}, {{submission_sample_type}}, {{prohibited_content_rules}}, {{ai_artifact_threshold}}, {{brand_risk_tolerance}}, {{catalog_category}}) are explicitly addressed.
  • Confirm the matrix contains at least 5 distinct submission scenarios covering both subtle AI artifacts and obvious policy breaches.
  • Validate that every action item in the matrix provides unambiguous routing logic.
AuraScore breakdown
81/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering10/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness5/5 · Strong

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

ecommerce-retail
ecom-reviews
image-multimodal-prompting
moderation
multimodal
ugc