Specialty · Specialty exam
AI for Marketing
Validates the ability to generate ad copy and content with AI and deliver it to customers while complying with advertising law, endorsement guidelines, and commercial transmission rules, as well as measuring performance.
Daily practice · Free
10 questions · 25 min · No sign-up needed
Specialty exam · Proctored
35 questions · 60 min · Raw score of 75 or more · $3.99 / one attempt
Specialty exam detailsExam overview
- Questions
- 35
- Time
- 60 min
- Pass mark
- 75 pts
- Recommended experience
- White Belt (AI Basics) level and practical marketing experience
Every question has five choices and is marked on an OMR answer sheet. Multiple-choice and true-or-false questions ask for the right combination from a box; ordering and matching questions ask for the right arrangement. Judgment questions (L3) are worth 3 points and all others 2; the raw score is converted to a 100-point scale and graded 1 to 9.
Exam domains
1. AI Ad Copy and Substantiation25%
2. Endorsements, Reviews, and Virtual Humans20%
3. Customer Data and Commercial Message Transmission25%
4. Measuring AI Content Performance15%
5. Brand Review Workflow15%
Weights follow the Specialty exam. Practice and mock exams may mix domains differently.
What this exam verifies
- Assess whether claims in AI-generated ad copy can be substantiated and revise them
- Apply disclosure obligations appropriately to endorsements, reviews, and virtual human advertising
- Send messages using AI in compliance with customer data and commercial transmission rules
- Measure the performance of AI content using comparable methodologies
- Manage the quality and accountability of AI content through a brand review workflow
Who it is for
- Marketers and content creators who produce ads and content with AI
- Brand managers running influencer and review marketing
- Growth and CRM managers responsible for sending CRM messages
Does not cover overall media buying strategies, legal advice for individual cases, or ad tech development. Assessing the applicability of Article 31 transparency obligations under the Framework Act on Artificial Intelligence is covered in AI Law & Policy (AGV).
Domain details
Domain 1. AI Ad Copy and Substantiation
- Knowledge: Unfair labeling and advertising under the Fair Labeling and Advertising Act, Burden of proof and substantiation materials, Superlative and comparative claims, Fact-checking AI-generated claims
- Skills: Identifying claims in AI-written copy that require substantiation, Revising copy to align with substantiation materials
Domain 2. Endorsements, Reviews, and Virtual Humans
- Knowledge: Disclosing material connections under the Review Guidelines for Endorsements and Testimonials, Review editing and AI rewriting, Ad disclosures for AI virtual humans, Influencer contracts and disclosure placement
- Skills: Selecting required disclosure wording and placement for each context, Determining permissible boundaries when handling reviews with AI
Domain 3. Customer Data and Commercial Message Transmission
- Knowledge: Opt-in consent and exceptions under Article 50 of the Information and Communications Network Act, Nighttime transmission and separate consent, Mandatory disclosure items and prohibited practices, Opt-out processing, 14-day notice, and two-year regular confirmation, Management and supervision of outsourced transmission, Conditions for inputting customer data into AI tools
- Skills: Determining transmission eligibility by recipient, time, and channel, Defining the scope of customer data to use in AI personalization
Domain 4. Measuring AI Content Performance
- Knowledge: A/B test design and sample sizing, Metric definitions and baselines, Comparing AI content against human-created content, Repeated peeking, sample ratio mismatch (SRM), and multiple comparisons, Guardrail metrics (unsubscribe rate)
- Skills: Designing experiments to fairly compare the effectiveness of AI content, Correcting exaggerated interpretations in performance reporting
Domain 5. Brand Review Workflow
- Knowledge: Incorporating brand guidelines into instructions and examples, Review stages and responsible roles, Rights clearance for AI-generated images and videos, Creative asset libraries and managing endorsement withdrawals and expirations, Post-publication monitoring
- Skills: Designing review checklists and approval flows, Takedown of problematic content and recurrence prevention
Official documentation
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Specialty Course · AI for Marketing
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