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Add negative keywords to campaigns

This is real work, not a feature someone invented — it comes from real job ads and real questions people asked. Below are four ready AI prompts: get it done, make it easy for the next person to say yes to, work out the right move when you are stuck, and stop it coming back.

4prompts

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskAdd 'free download', 'job opening', and 'customer service' as negative keywords to the 'B2B…+
Add 'free download', 'job opening', and 'customer service' as negative keywords to the 'B2B Software Demo' campaign to prevent irrelevant traffic. Apply them at the campaign level by end of day.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
BImprove — make it easier to acceptBefore the monthly client review, analyze the search terms report for the 'Luxury Travel…+
Before the monthly client review, analyze the search terms report for the 'Luxury Travel Packages' campaign. Identify any irrelevant or low-converting search terms that are wasting budget and suggest a list of negative keywords to add, explaining the expected impact on ROI.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentI just saw that 'free course materials' and 'student jobs' are pulling a lot of budget in our…+
I just saw a bunch of irrelevant search terms pulling budget in our main 'Online Course' campaign, but I'm not sure if adding negatives will hurt our broad match reach.
I just saw that 'free course materials' and 'student jobs' are pulling a lot of budget in our 'Online Course' campaign, clearly wasting money. My gut says to add them as negatives, but I'm worried about being too aggressive and accidentally blocking legitimate leads, especially with our broad match keywords. What's the best way to decide which terms to negative without stifling reach, and how do I explain this to the client?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI constantly find myself playing catch-up, adding negative keywords after seeing wasted spend…+
I often find myself reacting to wasted spend from irrelevant search terms instead of proactively preventing it.
I constantly find myself playing catch-up, adding negative keywords after seeing wasted spend in the search terms report. This feels inefficient and costly. What's one proactive habit I can adopt to identify and add crucial negative keywords earlier in the campaign lifecycle, reducing wasted budget from the start?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Questions people actually ask

honest answers, no sign-up

Every task here was seen in the real world. Someone doing the job named it, a real job ad asked for it, or a lot of people asked about it online.

If nothing real showed a task, it is not on the page. That is the whole rule.

They are the same job approached four ways, because what you need depends on where you are.

Get it done today. Make it easy for the next person to say yes to. Work out the right move when you are stuck. Learn the pattern so the job stops coming back.

For most of these jobs it can carry the heavy thinking - draft it, sort it, check it, rehearse it with you.

It cannot sit in your chair, take the blame when a number is wrong, or notice what nobody wrote down. Let it do the first 80%. Keep the last 20% that is truly yours.

No. Copy any prompt and paste it into the AI you already use. No account, no score, no wall in the way.

Any of them. The prompts describe the work rather than naming a product, so they are not tied to one assistant.

That is also why they keep working when you switch.

Change it freely. Every prompt is a starting line, not a rule.

Put in your real numbers, your real names and your real deadline. The more you make it yours, the better the answer comes back.

The tasks come from real job ads, published job data and the questions people ask in public forums.

The steps come from Google Ads's own documentation, with practitioner sources for the traps the manual does not mention.

Push once. Ask it to sharpen the weakest part and to say what it assumed.

Most wrong answers come from a missing detail rather than a bad prompt - tell it the thing it could not know.