12 Google Ads Prompts for Campaign Optimization

VigilDog Team · October 29, 2026 · 7 min read

The difference between a Google Ads assistant that helps and one that scares you is not the model, it is the prompt and the guardrails around it. When you run an ad account from Claude or ChatGPT through an MCP that previews every change and waits for your approval, plain-English prompts become a genuinely fast way to work. Below are 12 Google Ads prompts that map to real optimization work, grouped by what they fix, with notes on how to phrase them so you get a useful answer and a safe change.

Why prompt-driven optimization works, with the right guardrails

A prompt like "lower my CPCs" is worthless: it is vague, unmeasurable, and dangerous if the tool acts on it directly. A good prompt names a report, a threshold, and a time window, and asks for a proposal rather than an immediate change. The MCP pulls the data, shows you exactly what it would do, and only writes to the account after you confirm.

That dry-run-then-approve loop is what makes this safe to use on live spend. You get the speed of asking a question in English with the control of reviewing a diff before anything ships. The Ads MCP is built around exactly that pattern, and the guide to running Google Ads from Claude walks through the connection and approval flow end to end.

You (chat)ClaudePreviewdry-runApproveAd account
How an Ads MCP runs a change safely

Prompts for finding wasted spend

Waste is the highest-ROI place to start because every prompt here pays for itself. The search terms report is where budget quietly leaks into irrelevant queries, and broad match makes this a recurring job, not a one-time cleanup.

Ask for the proposal, not the action. The point of the last clause, "for my review"is that the negatives land in a preview you approve, so a term you actually want to keep never gets excluded by accident.

  • 1. "Pull the search terms report for the last 30 days and list every term with more than $50 spend and zero conversions, propose them as campaign negatives for my review."
  • 2. "Show me search terms with a cost per conversion more than double the campaign average over the last 60 days, grouped by campaign."
  • 3. "Which of my active campaigns have no negative keyword list attached? List them so I can prioritize adding negatives."

Prompts for bids, budgets and targets

Once the obvious waste is gone, the next lever is putting money where it converts. These prompts surface the mismatches between what you are paying for and what you are getting.

Budget-capped campaigns with strong returns are the clearest win: you are turning away demand you would gladly pay for. A target-versus-actual CPA gap points the other way, a bidding strategy that is not delivering, and is worth investigating before you throw more budget at it.

  • 4. "List campaigns that hit their daily budget more than 20 days this month and estimate the impression share I'm losing to budget."
  • 5. "Compare each campaign's target CPA to its actual CPA over the last 30 days and flag any where actual is 30% or more above target."
  • 6. "Break performance down by device for the last 30 days and propose bid adjustments where one device converts far better or worse than average."

Prompts for structure and scheduling

Structural problems quietly cap performance: ad groups so broad that no ad is relevant, or budget spent evenly across hours when conversions cluster in a few. These prompts expose that shape.

  • 7. "List ad groups with more than 20 keywords and suggest how to split them into tighter themes."
  • 8. "Show conversions by hour of day and day of week for the last 90 days, where should I add an ad schedule or a bid adjustment?"
  • 9. "Pull auction insights for my brand campaign and summarize how impression share and overlap rate have changed over the last quarter."

Prompts for creative and experiments

Creative is where responsive search ads either earn their keep or coast. Ad strength and asset-level reporting tell you which headlines and descriptions actually pull, and an experiment lets you test a change instead of guessing.

The last two prompts are the most valuable to run regularly: asset performance shows you which specific headlines to replace, and a properly scoped experiment lets you validate a bidding or creative change on a slice of traffic before rolling it out. When you approve one of these, the MCP shows the full campaign change first, nothing goes live on your account until you say so.

  • 10. "Show responsive search ads with Ad Strength below Good and list which asset types are missing for each."
  • 11. "Pull asset-level performance for my top campaign and flag the Low-rated headlines and descriptions so I can rewrite them."
  • 12. "Draft an experiment that tests Maximize Conversions against my current manual CPC on one campaign, with a 50/50 split, and show me the setup before creating it."

Questions

Frequently asked

Are these Google Ads prompts safe to run on a live account?

The prompts themselves only read data and propose changes. Safety comes from the tool: an MCP with dry-run and approval gating shows you exactly what a change would do and waits for your confirmation before writing anything. Read-only prompts like the reports above carry no risk at all.

Do I need to know GAQL or the API to use prompts like these?

No. That is the point of a plain-English interface over the Ads API, you describe the report or change you want and the MCP translates it into the right query or mutation. Naming a metric, a threshold, and a time window is enough to get a precise, useful answer.

Can I run these prompts from ChatGPT as well as Claude?

Yes. An MCP-based Ads integration works from any client that speaks the protocol, including Claude and ChatGPT. The prompts and the approval flow are the same regardless of which assistant you drive them from.

Run your ad accounts by asking, not clicking

The VigilDog [Ads MCP](/ads-mcp) connects Google, Meta and LinkedIn to Claude and ChatGPT with every change previewed and approval-gated, so prompts like these turn into safe, reviewable optimizations in seconds.

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