How to Use AI for Google Ads

by Topposition

5 minute read

Working with Google Ads without seeing results? You’re not alone. Over 60% of marketers offering PPC Services say they struggle to scale profitable campaigns. But the solution might be simpler than you think: it’s simply using AI for Google Ads. Sure, getting comfortable with AI isn’t always easy. But don’t worry, we’ll break it down together to learn how to use AI for SEO and basically to be found by clients!

Google's Built-In AI Features (Smart Bidding, RSA, Performance Max)

Google rolled out AI for Google Ads gradually over several years. Smart Bidding launched in 2016, followed by Responsive Search Ads in 2018, and Performance Max in 2021. Each tool builds on the others, creating a powerful ecosystem for AI for Google Ads management.

1. Smart Bidding

Launched in 2016, Smart Bidding uses AI to set your bids automatically. It looks at things like device, location, time of day, and user behavior to adjust bids in real time.

For example, a plumbing company in Los Angeles used to bid the same for everyone. Smart Bidding found that mobile users in certain neighborhoods converted better on rainy days, and increased bids in those moments by 60%.

2. Responsive Search Ads (RSAs)

Launched in 2018, RSAs let Google test different combinations of headlines and descriptions. You give it options, and the AI finds the best performers over time.

To get the most out of RSAs:

Add at least 5 headlines
Add at least 2 descriptions
Mix up the tone and keywords

Google will show the best combinations more often as it learns what works.

3. Performance Max Campaigns

Performance Max launched in 2021 and is Google’s most AI-driven campaign type. It runs ads across Search, Display, YouTube, Shopping, and Discover, all from one setup. You may upload different assets (like images, videos, and text), and Google handles the rest. It decides where to show the ad, who to show it to, and which version to use based on performance data.

Remember that AI tools for Google Ads need time to learn. The algorithms require 30-50 conversions and at least two weeks of data before reaching peak performance. Early results may fluctuate as the system gathers information about your audience and market dynamics.

Setting Up AI Tools for Google Ads

Implementing AI for Google Ads requires you to have a systematic approach. We recommend starting with Google’s native features before adding third-party solutions. Here’s how to do it:

Step 1: Start with Smart Bidding

Go into your campaign settings and select an automated bidding strategy that fits your goals. Use Target CPA to keep your cost per acquisition consistent, or Target ROAS to maximize your return. For broader goals like driving more leads within a fixed budget, Maximize Conversions is a solid choice.

Step 2: Use Responsive Search Ads (RSAs)

Create ads that allow Google’s AI to automatically test different headlines and descriptions. Try to include at least five headline options and two descriptions so the system has enough data to work with. Over time, it will learn which combinations perform best with your audience. These ads work perfectly with your digital marketing strategy, testing different messages to find what resonates with your audience.

Step 3: Launch Performance Max Campaigns

This is the most advanced AI-driven option in Google Ads. Performance Max runs ads across Search, Display, YouTube, Shopping, and Discover, all from one campaign. Upload various creative assets, images, videos, headlines, and let Google optimize everything toward your conversion goals.

Step 4: Add Third-Party AI Tools

Once your Google Ads foundation is in place, you can try to make it better it with external tools. Use AI copywriting platforms like ChatGPT, Jasper, or Copy.ai to generate high-performing ad variations. For keyword research, tools like SEMrush or Ahrefs can help uncover profitable terms that Google’s planner might miss.

Step 5: Optimize and Monitor

With everything in motion, monitor your campaigns regularly. Track ROAS, conversions, and search term reports to see what’s working. Adjust bids, ad copy, and creative assets based on performance. The more feedback you feed into the system, the smarter your campaigns become.

Using AI for Ad Copy and Creative Development

Modern AI prompts for Google Ads have surely changed content creation. These tools understand marketing psychology, brand voice, and audience preferences in ways that dramatically improve ad performance while saving countless hours of manual work.

1. ChatGPT

Need ad ideas fast? ChatGPT is great for brainstorming headlines, descriptions, CTAs, and even full landing page copy. Just tell it what your product is, who your audience is, and what you want them to do.

How to use it: Try something like “Write 5 Google Ads headlines for an affordable garage door repair service in LA.”You’ll get solid options in seconds—and you can keep refining from there.

2. Jasper AI

Jasper goes a step further by learning your tone of voice and writing style. It’s perfect if you’re managing multiple campaigns or working with a team.

How to use it: Once Jasper knows your brand, it’ll keep all your ads, emails, and landing pages sounding like you. That’s super helpful if consistency matters (and it should).

3. Copy.ai

If you’re a solo marketer or a small business owner, Copy.ai makes it easy to crank out ads without overthinking it. The templates are super straightforward and help you get results fast.

How to use it: Use their “Google Ads” template, plug in your product info, and you’ll have ready-to-use headlines and descriptions in minutes.

4. Gemini or Claude

These tools are great when you’re stuck and need a fresh perspective. They’re especially helpful for finding emotional hooks or thinking outside the box.

How to use it: Ask something like, “Give me 10 emotional ways to pitch garage door tune-ups to homeowners in California.” You’ll get angles you might not have considered.

5. Use Your Results to Improve Prompts

This is the part most people skip: take what’s working in your Google Ads and feed it back into your AI prompts. You need to monitor which AI-generated headlines and descriptions perform best in your Responsive Search Ads, then use these insights to improve future prompts. You may use the same messaging themes across your landing page design, email campaigns, and social media content.

Advanced Keyword Research and Audience Targeting

AI for Google Ads management extends far beyond basic keyword lists. Modern tools analyze search intent, predict user behavior, and identify opportunities that traditional research methods completely miss.

1. SEMrush's Keyword Magic Tool

This tool represents one of the best AI for Google Ads keyword research solutions. The platform analyzes competitor strategies using machine learning to reveal profitable keywords you’re not targeting. It also suggests related terms with lower competition but high commercial intent.

A business consulting firm discovered this power when AI analysis revealed that “operational efficiency expert” generated higher-quality leads than “business consultant” despite lower search volume. This insight reshaped their entire keyword strategy and connected perfectly with our PPC Services approach.

2. Ahrefs

Ahrefs uses AI to predict keyword difficulty more accurately than traditional metrics. The platform analyzes current ranking pages and estimates the resources required to achieve top positions. The “Also rank for” feature reveals unexpected opportunities that can expand your reach significantly.

3. AnswerThePublic

Finally, Answer The Public can help you to run a question-based keyword research, analyzing real search queries to identify what information people need at different stages of the buying process.

AI also enhances audience targeting through Custom Intent Audiences. Google’s AI monitors user search and browsing behavior to pinpoint people actively researching your products or services. By inputting your best-performing keywords and competitor URLs, you can build laser-targeted segments that connect directly with your keyword research, turning insights into results.

Measure AI Performance in Google Ads (ROI, CPA, etc.)

But that’s not all. After using AI for Google Ads you need to remember tracking metrics that reflect real business impact focusing on conversion rates, cost efficiency, and return on investment. That’s what will help you to understand whether you are delivering results.

Key Performance Metrics to Track

Metric	What It Measures	Good Performance	Poor Performance
Conversion Rate	Percentage of clicks that become customers	15%+ increase after AI implementation	No change or decrease
Cost Per Acquisition (CPA)	How much you pay for each customer	20%+ reduction over 30 days	CPA stays same or increases
Return on Ad Spend (ROAS)	Revenue generated per dollar spent	4:1 or higher for most businesses	Below 3:1 consistently
Quality Score	Google’s rating of ad relevance	Scores of 7+ across most keywords	Scores below 5 for main keywords
Click-Through Rate (CTR)	Percentage of people who click your ads	25%+ improvement with AI copy	CTR remains flat or drops
Impression Share	How often your ads show vs. competitors	80%+ for branded terms	Below 50% for important keywords

Getting Started with AI for Google Ads

Start simple. In fact, you don’t have to do everything at once. You can start your Google Ads strategy like this:

Week 1: Start From The Basics

Focus on the basics. Turn on Smart Bidding in your active campaigns to let Google’s AI begin optimizing your bids. At the same time, you can create Responsive Search Ads with multiple headlines and descriptions. This gives the system room to test and learn.

Before anything else, make sure conversion tracking is set up correctly. We all know, AI only works well when it has solid data.

Week 2: Add Creatives and Variety

Now that your bidding and ad formats are running, you can launch a Performance Max campaign. Try to use a mix of creative assets, images, videos, and different copy formats.

This is also a good time to experiment with AI tools to generate different ad variations and test what tone, structure, or messaging works best.

Month 2: Monitor and Analyze

You’re reading it right. Once your campaigns are live, you need to let them run and gather real data. Don’t rush to change everything too quickly.

You need to wait for some results. Keep the tools and strategies that drive results, and adjust the ones that don’t. Begin connecting your top-performing ads to better landing pages, AI can drive clicks, but your page needs to convert them.

Month 3: Test, Change, Test

After the month 3, your campaigns, ad copy, targeting, and landing pages should be working in sync. Everything will feed into a feedback loop and help you to train the AI, and the AI helps improve your results.

At this stage, it’s all about testing and making changes. Test new headlines based on what worked last month. Improve your landing pages based on where users drop off. The more connected your system becomes, the smarter and more effective your ads will be.

Ready to Improve Google Ads? Let's Talk.

If you’re serious about getting better results from your Google Ads, and you’re ready to put AI to work, our team at Top Position is here to help.

Book a free consultation to see where your ads stand today and how we can help you scale.

Book a Free Consultation

The Latest