Marketing AI Agent Testing — 161 Scenarios
Test marketing AI agents on campaign planning, content strategy, budget allocation, performance analysis, and CMO-level strategic advisory scenarios.
AI agents in the marketingindustry handle some of the most consequential conversations in business. A wrong answer doesn't just frustrate a user — it can trigger compliance violations, financial losses, legal liability, or irreversible damage to customer relationships. Testing these agents with generic prompts misses the edge cases that matter most.
Agent Scrimmage evaluates marketing AI agents with scenarios grounded in real industry workflows, real regulations, and real failure patterns. Every scenario includes specific success criteria and failure indicators so scoring is objective, not subjective. The scenarios cover routine tasks, complex multi-step workflows, compliance-sensitive situations, and adversarial attempts to manipulate the agent.
Whether you're building a customer-facing chatbot, an internal workflow agent, or a hybrid that does both, Agent Scrimmage tells you exactly where it breaks — and generates the training assets to fix it.
What We Test in Marketing
ad copy creation
4 scenariosad creation strategy
3 scenariosad diagnosis and fix
3 scenariosad spend optimization
3 scenariosadversarial and edge cases
8 scenariosanalytics and attribution
10 scenariosanalytics execution
2 scenariosanalytics reporting
3 scenariosbudget and planning
8 scenarioscalendar management
5 scenarioscampaign execution
3 scenarioscampaign strategy
10 scenarioscompliance content
3 scenarioscontent diagnosis and fix
3 scenarioscontent marketing
10 scenarioscopywriting execution
4 scenarioscopywriting strategy
3 scenarioscross workspace workflows
5 scenariosdrive search and reference
5 scenariosemail creation
4 scenariosemail diagnosis and fix
3 scenariosemail marketing
8 scenariosemail marketing strategy
2 scenariosgmail search and draft
5 scenariosgrant diagnosis and fix
2 scenariosgrant writing execution
2 scenariosgrant writing strategy
2 scenariospaid media
10 scenariosreporting diagnosis and fix
3 scenariosseo and organic
10 scenariossocial media
8 scenariossocial media content
4 scenariossocial media strategy
3 scenariosExample Scenario
Tests attribution model knowledge and practical multi-channel analysis for a $20M ARR SaaS CMO whose channels all self-report success — grounded in Dreamdata's finding that LinkedIn shows 121% ROAS vs. Google's 67% on a 281-day cycle and the documented 10–20% Meta-vs-GA4 variance.
Coverage Stats
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Request a DemoRelated Industries
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