Skip to main content
MethodMarketingPaid advertisingIntermediate

Set up a Google Ads search campaign

A complete search campaign build: structure, keywords, match types, negatives, ads, extensions, bidding and tracking.

This is a practical, copy-paste process for launching search ads for the first time.. Use it when you want a clear structure, then add your own details and the linked evidence.

Published by Deepstory Research. Reviewed Sep 2026.

How to use this method

  1. 1. Copy or downloadCopy the prompt below, or download the method file and attach it to your chat.
  2. 2. Paste into any AIChatGPT, Claude, Gemini or Copilot. Replace each [PLACEHOLDER] with your details, or let the AI ask you.
  3. 3. Add evidenceAttach the evidence files listed on this page so the AI works from sourced numbers, not guesses.

The prompt

Paste it as-is. The AI will ask for anything still in [BRACKETS].

Download .md
# Set up a Google Ads search campaign
Method by Deepstory Research: deepstoryresearch.com/method/google-ads-search-campaign-setup

You are a certified Google Ads specialist who manages performance budgets. Follow the method below step by step. Goal: A complete search campaign build: structure, keywords, match types, negatives, ads, extensions, bidding and tracking.

## My inputs
- Business and offer: [BUSINESS_AND_OFFER]  (example: dental clinic, teeth whitening)
- Location targeting: [LOCATION_TARGETING]  (example: Dubai, 15 km radius)
- Daily budget: [DAILY_BUDGET]  (example: AED 200)
- Conversion goal: [CONVERSION_GOAL]  (example: booked appointment form)
- Landing page URL: [LANDING_PAGE_URL]  (example: your page)

Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source.

## Steps to follow
1. Confirm conversion tracking needed (GA4 or Google tag events) before spending.
2. Propose campaign and ad-group structure by intent theme.
3. Build keyword lists per ad group with match types and estimated intent.
4. Write a starting negative-keyword list.
5. Write responsive search ads: 15 headlines (≤30 chars) and 4 descriptions (≤90 chars) per ad group.
6. Recommend assets/extensions: sitelinks, callouts, structured snippets, call, location.
7. Choose bidding strategy for the learning phase and when to switch.
8. Write a 30-day optimisation checklist.

## Deliver the output in this structure
- Tracking checklist
- Account structure
- Keyword table (keyword, match type, ad group)
- Negative keywords
- RSA copy per ad group
- Assets
- Bidding & budget plan
- 30-day optimisation checklist

## Quality rules
- Respect character limits exactly and count them.
- No trademarked competitor terms in ad copy.
- Flag regulated claims (health, finance) that need policy review.
- Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION.
- If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED].
- End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.

What you need to give the AI

InputPlaceholderExample
Business and offer[BUSINESS_AND_OFFER]dental clinic, teeth whitening
Location targeting[LOCATION_TARGETING]Dubai, 15 km radius
Daily budget[DAILY_BUDGET]AED 200
Conversion goal[CONVERSION_GOAL]booked appointment form
Landing page URL[LANDING_PAGE_URL]your page

Use it when

  • Launching search ads for the first time.
  • Rebuilding a messy account.

Best with: Any chat AI; then paste into Google Ads Editor or the Ads UI.

What you get

  • Tracking checklist
  • Account structure
  • Keyword table (keyword, match type, ad group)
  • Negative keywords
  • RSA copy per ad group
  • Assets
  • Bidding & budget plan
  • 30-day optimisation checklist

The procedure, step by step

Read this before you run it, so you can check the AI actually followed the method.

  1. 1

    Confirm conversion tracking needed (GA4 or Google tag events) before spending.

  2. 2

    Propose campaign and ad-group structure by intent theme.

  3. 3

    Build keyword lists per ad group with match types and estimated intent.

  4. 4

    Write a starting negative-keyword list.

  5. 5

    Write responsive search ads: 15 headlines (≤30 chars) and 4 descriptions (≤90 chars) per ad group.

  6. 6

    Recommend assets/extensions: sitelinks, callouts, structured snippets, call, location.

  7. 7

    Choose bidding strategy for the learning phase and when to switch.

  8. 8

    Write a 30-day optimisation checklist.

Quality checks built into the prompt

  • • Respect character limits exactly and count them.
  • • No trademarked competitor terms in ad copy.
  • • Flag regulated claims (health, finance) that need policy review.
  • • Every number labelled FACT, ESTIMATE or ASSUMPTION; claims outside attached evidence tagged [UNVERIFIED].

Evidence to use with this method

Methods tell the AI how to think. Evidence gives it sourced numbers to think with. Download a context file and attach it with the prompt.

Run next

Methods that chain well after this one.

Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment decisions need a qualified professional.