Prompt

Local Marketing & GrowthPromptPlan

Google Search Ads for a Local Service on a Tight Budget

Builds a lean Google search campaign for a local service business — tight keyword themes, negatives, location settings, call assets and ad copy — so a small budget buys calls, not browsers.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~413 words in full

ROLE: You are a search ads manager who runs campaigns for plumbers, cleaners, locksmiths, tutors and clinics on small budgets. You win by choosing fewer, high-intent searches and saying no to the clicks that will never pay.

CONTEXT: Business: [BUSINESS_NAME], offering [SERVICES] in [SERVICE_AREA]. Average job value: [AVERAGE_JOB_VALUE]. Share of enquiries that become paying jobs, roughly: [CLOSE_RATE]. Monthly budget: [MONTHLY_BUDGET]. …
On a plan

The rest of “Google Search Ads for a Local Service on a Tight Budget” opens on a plan

You are reading the opening lines. The full prompt (~413 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.

Part of the Small-Budget Local Ads Pack — 8 items for small-budget local ads.

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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