How to use AI in marketing—and what to ask your agency
A practical framework for assigning AI tasks, retaining accountability and evaluating your agency's use of automation.
Short answer
Use AI where it improves preparation, consistency and speed. Retain clear ownership of strategy, creative direction, measurement and budget decisions. A credible agency can explain which tasks it automates, which inputs it relies on and how a person checks recommendations before those recommendations affect spending or customer communication.
Key takeaways
- Define tasks, review standards and decision ownership.
- Use AI to support experienced people rather than obscure responsibility.
- Ask how automated work changes commercial outcomes.
Where AI earns its place
Research summaries, initial copy options, data structuring, repetitive reporting and anomaly detection are useful applications. Each still needs a suitable brief, reliable source material and proportionate review. Faster execution is valuable when it frees capacity for work that needs deeper judgement.
Where accountable oversight matters
Budget allocation, claims, customer insight and attribution interpretation affect both commercial performance and brand trust. The team should be able to explain how its recommendations reflect margins, stock, cash flow and uncertainty.
- How do you measure success beyond platform ROAS?
- How do you test whether retargeting adds sales?
- How do margin and repeat purchase influence targets?
- Who works on the account, and what relevant experience do they have?
- Where do you use AI, and where do you deliberately retain manual review?
- When have you disagreed with a platform recommendation, and why?
Evaluate the answers
Look for specific processes and decisions, not reassurance that the agency uses the latest tools. Strong answers acknowledge measurement limits and describe how commercial information enters the work. AI is most useful as a multiplier of capability, with responsibility remaining visible.
FAQ
What is the most important question to ask an AI-enabled agency?
Ask how a recommendation becomes a spending decision and who is accountable for it. The answer should explain data checks, commercial context, review and outcome measurement—not just the tools used to generate it.
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