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ChatGPT Ads · 8 min read

ChatGPT Ads: the do’s and don’ts

People use ChatGPT to understand, compare, and make progress. Advertising in that setting has to respect the task at hand. Useful, specific messages have a better chance than borrowed social ads or exaggerated promises.

01

Do match the customer’s situation

Write for the decision the person is making, not for an abstract audience segment. A useful ad makes its relevance clear without pretending to know more about the person than it does.

Use plain language, state the offer, and explain why the next step is worthwhile. Give important limits—price, eligibility, location, or commitment—enough visibility to prevent a poor click.

02

Don’t disguise promotion as an answer

The commercial nature of a placement should be clear. Avoid copy that imitates an independent recommendation, overstates evidence, or suggests an endorsement that does not exist.

Claims about price, performance, health, finance, or availability need an owner and a source. If the team cannot substantiate a claim, it should not go live.

03

Do build several useful routes

Different questions deserve different destinations. Separate comparison traffic from educational research and high-intent enquiries rather than forcing every visitor through one page.

Create a small set of message-and-page combinations, then test one meaningful difference at a time. This produces a lesson the next campaign can use.

04

Don’t optimise to the first easy signal

A cheap visit or form start can hide weak lead quality. Connect campaign data with qualified leads, completed purchases, returns, cancellations, and sales feedback where the business allows it.

Review placement reports and search or conversation themes when they are available, but keep first-party outcomes as the commercial reference point.

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Independent Gothenburg agency · Since 2015

More than ten years of change has made us less interested in shortcuts.

Zalster was founded in 2015. The tools have changed quickly since then, while the need for clear priorities, dependable measurement, and well-executed work has remained.

01

Platforms will change

We have seen channels, formats, and algorithms come and go. The strategy still needs to work after the next product update.

02

The business is the reference point

Platform data is useful, but margin, customer quality, and realised sales decide whether the work creates value.

03

Experience should stay close to delivery

Senior specialists remain involved in analysis, implementation, and ongoing decisions—not only the first meeting.