An AI marketing agent should help your team make a specific decision. Before connecting your accounts, choose a question you want answered, check what information the agent needs, and agree how you will judge its work.
A useful first question might be: which campaigns need a closer review this week, and why? That gives you something concrete to test. You can compare the evidence, the recommendation and the next action with your current process.
Start with one review your team already does
Choose a recurring task with a clear owner. It could be a weekly campaign review, a creative review or a check of search visibility.
Write down what usually makes the task difficult. Perhaps the numbers are spread across accounts. Perhaps the team spends most of the meeting reconciling reports. Perhaps the findings are clear, but no one agrees on the next test.
Use a short worksheet before the pilot:
| Decision | Information needed | Person reviewing it | Useful output |
|---|---|---|---|
| Which campaign should we investigate first? | Campaign objective, spend, results and recent changes | Marketing lead | A prioritized finding with supporting evidence |
| Which creative should we review? | Creative history and relevant campaign results | Creative lead | A reason to investigate and a proposed test |
| Which search page needs attention? | Queries, landing pages and indexing information | SEO owner | A specific content or website action |
Pick the row that matters most now. You can expand the pilot after you understand its value.
Check access and coverage before judging the answer
Ask which accounts and data sources the agent will use. Check the scope of access, how current the information is, and who can disconnect the account.
A familiar integration name is a starting point. Confirm that the connection supports the account, data and workflow you actually need. Keep a record of anything missing so the team does not mistake an incomplete view for a complete campaign assessment.
Also agree the reporting definitions. If one report counts a signup click and another counts a completed account, the numbers describe different events. If you compare attributed results, use consistent settings. Google Analytics assigns credit through attribution models, so the selected model matters when interpreting its reports. Google Analytics attribution guidance.
Follow one finding back to its evidence
Ask the agent to explain a finding from the records it used. A helpful answer names the campaign, the comparison period and the change that deserves attention. It also makes missing information visible.
For an illustrative pilot, imagine a campaign's reported leads have fallen. Before changing the creative, check whether tracking changed, whether spend changed, whether the comparison periods are similar, and whether the leads being counted still mean the same thing.
This example is a review exercise, not a customer result. Its purpose is to test the quality of the reasoning. A useful recommendation should leave the reviewer able to explain the next action to someone else.
Agree who can act
Separate a prepared recommendation from permission to change an account. Confirm who approves a change, where that approval is recorded, and what happens when the reviewer disagrees.
Ask to see the process for correcting a mistaken finding. The team should be able to trace the source, challenge the interpretation and choose what to do next.
For Alfred, review the current security and access guidance with the team before connecting company tools.
Decide whether the pilot helped
Record the time spent preparing and reviewing the work, the findings the reviewer accepted, and the actions the team actually took. Keep the same definitions throughout the pilot.
A shorter report is useful if it helps the team reach a sound decision. A longer list of recommendations may create more work if the evidence is unclear. Judge the pilot by the decision you set out to improve.
With Alfred for Marketing, I bring campaign, creative and visibility findings into your review so you can decide what to investigate or test next. Explore Marketing, or choose a Marketing trial.
Related reading: Find underperforming campaigns and questions before choosing a decision intelligence tool.