How do we stop AI content from becoming generic noise?

Name the reader's decision

"An article about marketing trends" has no clear job. "Help a dealership marketing manager check whether an offer can run at all branches" has a reader, a decision and a useful outcome.

Gather original material first

Interview a colleague who handles the issue. Collect approved examples, common errors and a simple checklist. AI can help organize that material; it cannot supply your lived experience.

Give every section a job

• Explain the problem in ordinary language.
• Show a specific example.
• Offer a checklist or template.
• Identify a limit or exception.
• Tell the reader what to do next.

Illustrative editorial image, not a customer result.

Apply the deletion test

Remove any paragraph that could appear unchanged on a competitor's website. Replace vague claims about transformation with a concrete action or delete them entirely.

A useful editorial standard

After reading, the audience should be able to make a better decision or complete a task. More words, keywords or images are not substitutes for that result.

This week's action

Rewrite one underperforming article around an actual support or sales question. Have the person who answers that question review it before publication.

Discussion behind the question

This is original practical guidance prompted by a public discussion theme, not a claim that the poster represents all CMOs. Read the source discussion.

See how this could work for your team

Request a demo focused on this question, your current tools and the information your team already approves. SimplSolutions will confirm the available connections, scope and human review before proposing a setup. Request your demo.