AI-assisted marketing: what should people still own?

What should a marketing brief include before using AI?

Keep the audience, offer and desired customer action with someone who knows the business. AI can organize research and suggest angles, but it can't supply the evidence that makes a message credible.

Write a short brief first: audience, customer problem, offer, channel, next step, approved facts and tone. Flag the claims that need expert review. Use one brief for copy and design so the campaign and landing page tell the same story.

Example workflow: a marketer picks a service and a customer question; AI proposes an outline and headline options; an editor develops the chosen approach; a designer builds the asset; the reviewer approves publication. It's the same model we use for content and social media production.

Does Google penalize AI-generated content?

Google's guidance on AI-generated content (opens in a new tab) focuses on accuracy, quality and relevance, not on how content was produced. It warns against mass-producing pages that add no value for users. AI search engines that cite sources favor the same thing: specific, verifiable answers.

So review each draft for usefulness, accuracy and brand voice. Replace generic statements with specifics, real examples and direct answers. Check every number against its source and remove invented quotes or outcomes. That discipline is also how you earn visibility in Google and AI answers.

Review visuals too: readability on mobile, logo consistency, cropping and usage rights. A polished image doesn't make the claim beside it true.

How should you measure AI-assisted marketing?

Decide what the work should improve: qualified inquiries, understanding of the service or useful engagement. More posts and faster drafts are production numbers, not customer value.

Connect campaign links, landing pages, successful submissions and follow-up outcomes, so you can turn website visits into qualified inquiries instead of counting clicks.

Compare results with a documented baseline and note what else changed, such as spend, targeting or the offer. Run small tests instead of publishing large volumes of similar content.

Which marketing decisions must stay with people?

Name who approves claims, creative, publishing and ad budgets. Agree which prep work AI can assist with and which actions need sign-off. Complaints, sensitive requests and commitments need an escalation route.

Keep an approval queue and a record of what was published. When a fact changes, update the source material and the live asset. A practical starting kit:

• One audience and offer
• An approved evidence pack
• A reviewed content calendar
• Clear publishing access
• A tested inquiry destination
• An owner for weekly learning

If your team has the strategy but not the hours, marketing execution support adds capacity around your approvals.

Frequently asked questions