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How To Use AI Tools In Your Digital Marketing (And Where Not To)

Team Digigiri · · 3 min read

How To Use AI Tools In Your Digital Marketing (And Where Not To)

Most marketers we know now use an AI tool at some point in the week, usually to get past a blank page. That is fine. The trouble starts when the output goes straight to a client or a live ad without anyone reading it properly. Here is where AI saves us time, and where we keep it away.

Research And Planning

AI chat tools are good at first-pass thinking. Ask one to list the questions a homeowner might have before hiring a roofer, group keywords by intent, or summarise a long competitor page into bullet points. You get a starting point in minutes instead of an hour.

Treat it as a starting point only. Check the keyword ideas against real volumes in Semrush, Ahrefs or Google Keyword Planner, because a chatbot cannot see current search data reliably. And do not ask it for statistics or sources without checking each one yourself, since these tools can state wrong numbers with total confidence.

Drafts And Outlines

For blog posts and emails, AI is most useful for outlines, headline options and tightening a rough paragraph. It is least useful as the final writer. Unedited drafts tend to be generic, repeat themselves and say nothing a competitor could not say.

Our rule is simple: a person with real knowledge of the topic must add the examples, correct the facts and rewrite anything that sounds like it was written by nobody. If you cannot add something from your own experience, the piece is probably not ready.

Ad Variations

This is one of the best uses. Give the tool your offer, audience and character limits, and ask for fifteen headline options for a Google Ads responsive search ad or several primary-text versions for Meta. You will usually keep two or three, edit them, and test.

Read each line against platform policies before you upload. Check for claims you cannot back up, such as “guaranteed results”, and for anything misleading about price or location. In Ads Editor, review the final text in bulk, because this is where odd phrases slip through.

Reporting And Analysis

AI can help you write the plain-language summary under a monthly report, spot anomalies in an exported sheet, or draft a formula for Google Sheets. It saves time on the writing part of reporting.

It should not replace looking at the numbers yourself. Open GA4 or Google Ads and confirm the figures before you send anything out. Also think before pasting client data, such as customer lists or private account details, into a public tool. Check the tool’s data settings and your client agreement first.

Set Review Rules For Your Team

A few habits keep things safe:

  • Every AI-assisted piece gets a human edit before publishing.
  • Facts, names, prices and links are checked against the source.
  • A brand voice note, with words you use and words you avoid, goes into the prompt.
  • Nothing legal, medical or financial is published without an expert reading it.

Brand voice is the quiet risk. If every business in your industry uses the same tools with the same prompts, everyone starts sounding the same, and customers notice. Use AI to speed up the work you already do well, not to replace the judgement behind it.

If you want help building a workflow that uses these tools sensibly across your campaigns, see how we work in digital marketing or ask us directly.

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