How to use an AI Agent to judge marketing topics

First judge whether the trend belongs to the brand

A trend does not make a topic valid by itself. Start by asking whether the topic naturally connects to brand personality, expression rules, or product proof points.

Brand attention works better when written as a judgment sentence, such as 'we need to prove the product reduces repeated content-team alignment,' not just 'emphasize efficiency.'

Then judge why the user would stop

A topic needs to answer the user attention question: what scenario is the user in, and why would they care now?

Split the persona, pain scenario, and attention trigger. Who the user is, what task they are handling, and what tension catches them will shape the opening hook.

Use a 5-part storyboard to check execution

After the topic passes the first screen, check whether it can become an opening hook, pain scene, product solution, proof detail, and action prompt.

Each part should carry the previous one. The pain scene catches the hook, the solution answers the pain, proof supports the promise, and the action prompt closes with one clear step.

Turn team feedback into the next review context

Topic meetings create value beyond one decision when the team records what does not fit the brand.

These memories should be confirmed before they become rules. Unconfirmed discussion should not silently shape future judgments.

How to apply it in Alphato

In Alphato, use confirmed brand rules, user personas, and creative preferences as topic review context, then ask the Agent whether a trend satisfies both brand attention and user attention.

When a direction works, continue into the 5-part storyboard. When it does not, turn the rejection reason into a confirmable preference for future topic reviews.

Next step

Prepare 3 recent trends, 1 set of brand expression rules, and 1 core user persona. Use Alphato to screen topics, then move the strongest direction into storyboard review.