Marketing ops · Production
Generative AI Marketing Use Case Discovery Guide
The problem
Marketing teams lack a systematic strategy for identifying where generative AI adds the most value, risking wasted time and resources on AI initiatives that don't deliver real ROI.
Workflow diagram · grounded in source
1
Identify AI opportunities
trigger
“Break down your marketing funnel into its component stages (awareness, consideration, conversion, etc.) and map out the specific activities and assets associated with each one. From there, pinpoint repetitive, time-consuming tasks that c…”
2
Prioritize use cases
validation
“prioritize them based on factors like business value, technical feasibility, and alignment with your overall marketing strategy”
3
Implement with AI tools
ai_action
“As you implement generative AI into your marketing workflows, have clear metrics in place to track performance and identify areas for optimization.”
4
Refine and expand
feedback_loop
“use these insights to refine your approach and gradually expand successful use cases to other teams and channels”
Reported outcome
(not stated)
Reported metrics
Writing speed10x faster
Reported stack
GTM AI platform
Frequently asked questions
What did this team achieve with this AI workflow?
(not stated)
What tools did this team use?
GTM AI platform.
What results were reported?
Writing speed: 10x faster (source-reported, not independently verified).
How is this marketing ops AI workflow structured?
Identify AI opportunities → Prioritize use cases → Implement with AI tools → Refine and expand.