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How to Generate Better Google Ads Keywords With ChatGPT, Without Wasting Budget

Google Ads keyword research is one of those tasks that looks simple until you pay for it.


At first, it feels like you just need “more keywords.” Then you launch, impressions spike, and you discover you have successfully attracted the wrong people at scale. Congratulations, you have built a high-performance machine for spending money.

ChatGPT can help here, but not by guessing “high-volume keywords” in the abstract.


The real value is speed and coverage. You can use it to generate structured clusters, variations, intent layers, and exclusions. In other words, the stuff you would normally do after staring at a spreadsheet and questioning your life choices.


The trick is to treat keyword generation like strategy, not brainstorming.


Start with intent. What is the user trying to do, right now, when they search. Research. Compare. Buy. Fix a problem. Find a local provider. Those intents should become separate clusters, because they need different ads and different landing pages.


Then add qualifiers. Location. Price. Use case. Industry. Pain point. Brand alternatives. These details create long-tail terms that often convert better because they match a specific situation.


Finally, add negatives. Every good keyword list has a shadow list. Words that look relevant but attract the wrong clicks. Jobs. Free. Template. Meaning. Definition. DIY. Course. Those people are not buying your product, they are buying a dopamine hit from learning.


A well-structured ChatGPT prompt will output keyword clusters that map to ad groups, include match type recommendations, propose negatives, and suggest what to test next. That is how you turn “keyword generation” into something you can actually launch.


Fast.


Without praying the algorithm will understand your business better than you do.


Practical Tips

  1. Give the model your offer, not just your industry “AI consulting” is broad. “Copilot agent workshops for enterprise teams” is usable.

  2. Separate keywords by intent Research keywords and purchase keywords should not live in the same ad group.

  3. Ask for long-tail variations explicitly Include price, location, time, and pain-point qualifiers.

  4. Generate negatives at the same time This is how you avoid paying for irrelevant curiosity clicks.

  5. Request clusters that map to landing pages If a keyword cluster cannot point to a specific page, it is usually too vague.

  6. Ask for competitor and alternative framing Include “alternatives,” “vs,” “compare,” and category substitutes your buyers consider.

  7. Treat the output as a draft, not truth Validate in Google Keyword Planner and performance data, then prune aggressively.


Prompt

# GOOGLE ADS KEYWORD GENERATION PROMPT

## ROLE
You are a performance marketing strategist helping build a Google Ads keyword plan that is structured, launch-ready, and aligned to real search intent.

## INPUTS
- Business and offer: **[what you sell, who it is for, main differentiator]**
- Primary goal: **[leads, sales, booked calls, signups]**
- Location targeting: **[country, city, radius, or online only]**
- Customer segments: **[personas, job titles, industries]**
- Landing pages or offers available: **[URLs or descriptions]**
- Existing keywords (optional): **[paste list]**
- Exclusions (optional): **[services you do not offer, audiences you do not want]**

## OUTPUT REQUIREMENTS

### 1. Keyword Clusters by Intent
Create keyword clusters for:
- High intent purchase
- Comparison and alternatives
- Problem and pain-point searches
- Local or location-modified searches
- Brand and competitor searches (if relevant)

For each cluster, provide:
- 15 to 30 keywords
- Suggested match type for each: Broad, Phrase, Exact
- A short note on intent and when to use it

### 2. Long-Tail Expansion
Generate 30 additional long-tail keywords using qualifiers:
- location, price, timeframe, industry, role, urgency, compliance, size

### 3. Negative Keywords
Provide:
- a core negative list (20 to 40 terms)
- a “watch list” of negatives to evaluate after launch

### 4. Ad Group and Landing Page Mapping
Propose:
- Ad group names
- Which landing page each cluster should point to
- One messaging angle per ad group

### 5. Quick Validation Checklist
Provide a short checklist for what to validate in Keyword Planner and in first-week performance data.

## STYLE
- Use clear, practical marketing language.
- Avoid generic keyword stuffing.
- Prioritise relevance and intent over volume.


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