How to Use AI for Google Ads Keyword Research

Keyword research is the foundation of every successful Google Ads campaign. Get it wrong and you burn budget on irrelevant clicks. Get it right and your CPA drops while your conversion rates climb.

The problem is that thorough keyword research takes hours — brainstorming, expanding, grouping, analyzing intent, checking competition. AI tools can slash that time from hours to minutes without sacrificing quality. Here is a practical, step-by-step guide to using AI for Google Ads keyword research.

1. Use ChatGPT for Seed Keyword Generation

Start with a broad topic and let AI generate your seed list. Open ChatGPT and use a prompt like this:

“Generate 50 Google Ads keyword ideas for a B2B SaaS project management tool. Include head terms, mid-tail, and long-tail keywords. Group them by buyer intent: informational, commercial, and transactional.”

ChatGPT will return a structured list you can immediately import into your research workflow. Refine it by asking for variations: “Now give me 30 question-based keywords people search for when evaluating project management software” or “List 20 comparison keywords like ‘Tool A vs Tool B’.”

The key is iteration. Do not settle for the first output. Ask for more specific angles, different intent buckets, and industry-specific terms. Export the final list as CSV.

2. Expand Keywords with AI-Powered Tools

Once you have seeds, expand them using dedicated tools. Google’s Keyword Planner is still useful, but AI-powered platforms take expansion further:

• SEMrush Keyword Magic Tool uses machine learning to cluster related terms and estimate their potential. Enter 5-10 seed keywords and let it surface thousands of variations.
• Ahrefs Keyword Explorer applies its AI-driven “Clicks” metric to show you which keywords actually generate clicks versus those dominated by zero-click results.
• Ubersuggest uses AI to generate keyword suggestions with search volume, CPC, and seasonal trends in a clean interface.

Import your ChatGPT seed list into one of these tools and let the AI expansion run. You will typically go from 50 seeds to 500-1000 related keywords.

3. Group Keywords by Search Intent with AI

Manual intent classification is tedious. AI can bucket keywords by search intent automatically.

In SEMrush, run keywords through the “Intent” filter — it assigns informational, navigational, commercial, or transactional labels to each term. For Google Ads, focus on commercial and transactional keywords; informational terms belong in your content strategy, not your ad groups.

You can also do this in ChatGPT. Paste a list of keywords and prompt:

“Classify each keyword in this list as informational, commercial, or transactional. Group them by intent and suggest ad group structures for the commercial and transactional groups.”

This gives you a draft ad group structure you can refine and import into Google Ads Editor.

4. Run Competitor Keyword Gap Analysis

AI makes competitor analysis dramatically faster. Both SEMrush and Ahrefs offer “Keyword Gap” tools that compare your domain against 3-5 competitors and surface keywords they rank for that you do not.

Here is the workflow:

1. Enter your domain and 3-5 top competitors in SEMrush’s Keyword Gap tool.
2. Filter for “Untapped” keywords — terms competitors rank for but you do not.
3. Export the list and run it through ChatGPT with this prompt:

   “Review these competitor keywords for a [your industry] business. Flag any that indicate high purchase intent and suggest ad copy angles for each.”

4. Prioritize keywords where competitors have low ad spend (check with the “Competition” filter in Keyword Planner).

This alone can uncover high-value keywords your competitors are capturing while you are not.

5. Automate Negative Keyword Discovery

AI is excellent at pattern recognition, which makes it perfect for negative keyword research. Burned budget on irrelevant clicks is the fastest way to drain a campaign.

Workflow in Make.com:

Create an automation that:

1. Triggers weekly from your Google Ads account.
2. Pulls the Search Terms report for the last 7 days.
3. Sends the list to ChatGPT with a prompt: “Identify non-converting search terms that have spent more than $10 without a conversion. Flag terms that are irrelevant to [product/service].”
4. Adds flagged terms to your negative keyword list in Google Ads.
5. Logs all additions to a Google Sheet for review.

This automation catches budget-wasting terms between your regular optimization sessions and runs continuously in the background.

6. Build a Full Keyword Research Automation in Make.com

Here is a complete automated workflow you can build:

Trigger: Manual trigger or weekly schedule. Step 1 — Seed Input: Store your seed keywords in a Google Sheet or Airtable. Step 2 — AI Expansion: Use the ChatGPT module to generate expanded keyword lists. Prompt: “Expand this list of 20 seed keywords into 200+ related keywords for a Google Ads campaign. Include search volume estimates and intent labels.” Step 3 — Intent Filtering: Use a second ChatGPT call to classify and filter keywords into ad groups by intent. Step 4 — Competitor Check: (Optional) Feed filtered keywords into SEMrush’s API to check competition levels. Step 5 — Export: Write the final structured list to a Google Sheet organized by ad group, intent, and estimated competition.

This entire workflow runs in about 10 minutes and produces a campaign-ready keyword structure that would take a human 4-6 hours to build manually.

Final Tips

• Always validate AI suggestions against real search volume data. AI can hallucinate keyword popularity.
• Layer in manual review for high-budget campaigns. AI gets you 80% of the way; the last 20% is human judgment.
• Update your keyword lists monthly. Search behavior changes, and stale keywords waste budget.
• Use AI for the grunt work — expansion, grouping, intent classification — so you can focus on strategy and creative.

AI keyword research is not about removing the human from the equation. It is about removing the tedious parts so you can spend your time on what actually drives performance: strategy, bidding decisions, and compelling ad copy.