10 Google Ads Prompts That Actually Save You Hours

These aren't theoretical. They're the prompts I actually use in my own account work. Each one assumes you'll paste in your real data — landing page text, search term reports, current ad copy — because generic answers waste tokens and your time.

A note before you start: don't trust the first output. Run the prompt, read it like an editor, then ask the model to make it sharper, shorter, or more specific to your audience. Two passes beats one.

1. RSA copy generator with a specific angle

Use it for: generating headline and description variants for a Responsive Search Ad when you already have one good ad and want disciplined variations.

You are writing Responsive Search Ad copy for Google Ads.

Context:
- Product: [paste 2-3 sentences about what it does and who it's for]
- Current best-performing ad: [paste headlines + descriptions]
- Differentiator vs competitors: [1-2 sentences]
- Brand voice: [confident/friendly/clinical/etc.]
- Hard constraints: no superlatives, no claims about being #1, no exclamation marks

Give me:
- 15 headlines, max 30 characters each, organized into 5 themes (3 per theme)
- 4 descriptions, max 90 characters each, each one focused on a different objection
- For each headline, name the theme in parentheses after it

The "themes" instruction is the trick. It forces the model to stop spitting near-duplicates and actually think in angles.

2. Negative keyword discovery from your search terms

Use it for: finding waste in your search terms report without scrolling through 800 rows manually.

I'll paste a Google Ads search terms report. For each query, decide:
- BUY: clearly a buyer-intent query worth keeping
- BLOCK: irrelevant or wrong-fit — recommend as negative
- INVESTIGATE: ambiguous, needs human review

Group your output as three lists with the queries verbatim. After BLOCK list, suggest 5 broader negative keywords (or phrase-match negatives) that would catch similar irrelevance proactively.

Search terms:
[paste CSV or table]

Tighter prompt: at the end, add Estimate how much wasted spend is in BLOCK queries based on the cost column. Even a rough estimate is useful for getting buy-in to act on the cleanup.

3. Keyword expansion from a seed list

Use it for: getting beyond the obvious keywords your competitors are also bidding on.

I run Google Ads for [product]. My current keyword list is:
[paste seed keywords]

Give me 40 additional keyword ideas in these buckets:
- 10 problem-aware queries (people who don't know the solution exists)
- 10 solution-aware queries (people comparing options)
- 10 brand-adjacent queries (competitor names + modifiers)
- 10 long-tail high-intent queries (4+ words, transactional)

Format as a table: keyword | bucket | rough buyer-intent (1-5) | match type I should use.

The intent score is what makes this useful. You can sort by it and prioritize.

4. Ad copy critique against your landing page

Use it for: catching message-match problems before they tank your Quality Score.

Here is my Google Ad:
- Headlines: [paste all]
- Descriptions: [paste all]

Here is the first 400 words of my landing page:
[paste copy]

Critique:
1. Does every promise in the ad get answered on the page within the first viewport? List any orphan promises.
2. Does the page use the same vocabulary the ad uses? List mismatches.
3. Where on the page would a visitor first feel "this is exactly what I clicked for"? Quote the line.
4. Rewrite the H1 of the page so it matches the strongest headline in the ad.

Run this on every landing page you have. Most ad accounts have message-match leaks they've never noticed.

5. Search query intent classifier

Use it for: structuring a brand-new account when you're staring at a keyword list and don't know what goes in which campaign.

For each keyword below, classify it on three dimensions:
- Intent stage: awareness / consideration / decision / brand
- Buyer urgency: low / medium / high
- Best landing destination: homepage / category page / specific product / dedicated landing / blog

Then group keywords into campaigns by intent stage. Within each campaign, group into ad groups by theme. Output the final structure as: Campaign > Ad Group > Keywords.

Keywords:
[paste list]

6. Performance Max asset brief

Use it for: giving your designer or freelancer a clean creative brief instead of vague hand-waves.

I'm launching a Performance Max campaign for [product]. Generate a creative brief that includes:

- 5 image concepts (describe each: subject, mood, palette, no text overlay needed)
- 3 short video concepts (15s each, with scene-by-scene shot list)
- 5 long headlines (max 90 char)
- 5 short headlines (max 30 char)
- 5 descriptions (max 90 char)
- 3 long descriptions (max 90 char)
- 10 keyword themes for asset signals

Use this brand voice: [paste 2 sentences from your style guide]. Avoid the words: [list any]

7. Audience signal builder

Use it for: giving Performance Max stronger audience signals than just "your past converters."

My ideal customer is [paste 3-4 sentences of ICP — role, company size, what they care about, what they hate].

Suggest audience signals I can feed Google Performance Max, organized as:
- Custom segments based on URLs they'd visit (10 URLs)
- Custom segments based on search terms they'd type (15 queries)
- Affinity audiences that exist in Google Ads (5 names)
- In-market audiences (5 names)
- Demographic combinations (age, gender, parental status, income) if relevant

8. Bid strategy decision helper

Use it for: picking the right bid strategy when you can't remember the trade-offs.

My campaign has these conditions:
- Goal: [conversions / leads / revenue / awareness]
- Conversion volume per month: [number]
- Conversion value tracked: [yes/no]
- Account age: [months]
- Average CPA acceptable: [amount or "unknown"]
- Margin per sale: [if you know it]

Walk me through which Google Ads bid strategy fits best. For each option (Maximize Conversions, Target CPA, Target ROAS, Maximize Conversion Value, Manual CPC), give me: when it works, when it fails, what data Google needs to perform well. End with a clear single recommendation.

9. Account audit checklist on your data

Use it for: finding the things you'd notice in someone else's account but miss in your own.

Audit this Google Ads account. I'll paste the data below. For each finding, mark severity (critical / important / minor) and give one concrete next action.

Look for:
- Quality Score outliers (keywords scoring 4 or below)
- Search terms eating budget with zero conversions
- Ad groups with only one ad (no A/B variant)
- Ad strength rated Poor or Average
- Sitelinks/callouts missing or duplicated across campaigns
- Negative keyword conflicts blocking active keywords
- Conversion actions with very low or zero volume
- Audiences not applied where they should be

Data:
[paste account snapshot or export]

10. Weekly performance briefing

Use it for: turning a Google Ads weekly report into something a stakeholder will actually read.

Write a 5-sentence executive summary of this week's Google Ads performance. Include:
- The one number that matters most (versus last week)
- What changed in the account that explains it
- One risk to watch next week
- One opportunity to test

Then list the top 3 decisions I should make this week, each with: what to do, why now, expected impact.

Data:
[paste week-over-week metrics, campaign-level performance, any changes you made]

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A last note: every one of these works better when you give the model real numbers and real copy from your account, not made-up examples. The prompts are the skeleton — your data is what makes the output usable.