How to Use AI in Your PPC Advertising

Artificial Intelligence (AI) is changing everything in digital marketing. Here’s a surprising fact about AI in 2025 — almost 9 out of 10 marketers are already using AI tools to make their work easier and get better results.

PPC Marketing is no different — AI is now part of every step, from finding the right audience to checking how the ads perform.

So, how can we use AI to get the best out of our PPC ads?

Let’s Check Out 9 Important Ways:

• Reach the Right Audience More Easily
• Find the Best Keywords for Your PPC Ads
• Write Powerful Ad Copy Using AI Tools
• Make Eye-Catching Images With AI Features
• Get Smarter With How We Bid on Ads
• Build Landing Pages That Work Better
• Improve Product Names and Descriptions
• Run A/B Tests Without Manual Work
• Understand Results With Clear AI Reports

1. Refine Audience Targeting

Modern PPC platforms now come with AI tools that help us reach the right audience — more accurately and effectively than before.

Below are some top AI-based audience tools from major ad platforms:

• Google Ads Custom Audiences: Google uses data like search history, app usage, and user behavior to build detailed audience groups. These groups improve over time as Google learns more about who our ideal customers are.
• Meta’s Lookalike Audiences: Meta applies machine learning to find new people who act like our current customers. This helps us reach more users while still showing ads that matter to them.
• TikTok Smart Targeting: TikTok Ads Manager includes Smart Targeting, which studies how our ads perform and then finds the audience most likely to engage. There’s also an Automated Creative Optimization option, where TikTok mixes ad content and shows the best-performing version to the right users.

With these features, we don’t have to depend only on manual settings anymore. AI looks at real-time data and keeps adjusting our audience lists to match those who are most interested. This means better ad results and lower costs over time — making our campaigns more successful with less effort.

2. Conduct Keyword Research for Your PPC Campaign

We no longer need to deal with endless spreadsheets or use many tools to do keyword research. AI can make this process faster and easier in just a few minutes.

We can use ChatGPT or Google Bard to come up with keyword ideas based on our product, service, or industry. Just ask a question like, “What keywords should we use for a PPC campaign for [product]?”

For more advanced users, tools like SEMrush have built-in AI keyword features. These tools check search terms in real time, remove the ones that don’t work well (using negative keywords), and suggest high-performing keywords. These top keywords can be used in their own ad groups to help improve results.

AI makes keyword research faster, smarter, and more accurate for our campaigns.

3. Create Compelling Copy with Generative AI

Good ad copy is one of the most important parts of a successful PPC campaign. It decides whether people click or just keep scrolling.

In the past, writing strong headlines and descriptions needed a deep understanding of the audience, lots of A/B testing, and a lot of time.

Now, with generative AI, writing great ad copy is quicker and easier to scale:

Google Ads and Meta Ads have built-in AI tools that suggest copy based on our product, landing page, and past results. For example, Google’s Automatically Created Assets (ACA) tool makes headlines and descriptions that match what people are searching for.

Meta’s Advantage+ Creative changes ad versions in real time to get more people interested.

TikTok Ads Manager also uses AI to improve ads through Automated Creative Optimization. It mixes text and visuals and shows the best-performing versions to our audience.

We can also use AI tools like ChatGPT, Claude, or Bard to come up with ideas, write catchy headlines, or adapt ads for different locations. These tools give us many copy versions quickly — saving time and helping us test faster.

4. Generate Images with Built-In AI in Campaign Tools

Visuals play a big role in making PPC ads successful, especially on image-heavy platforms like Google Shopping, Meta, and TikTok, where eye-catching pictures help grab attention and get more clicks.

Thanks to AI-powered creative tools, we don’t always need to depend on design teams or outside help to make new visuals.

Tools like Google Product Studio, Meta’s Creative AI, and TikTok Creative Center’s AI tools let us create high-quality, ready-to-use images quickly and easily.

These tools help us:
Match images with seasonal themes — like adding holiday backgrounds, special colors, or festive elements for events. Change visuals to fit different ad formats — such as vertical videos on TikTok, carousel ads on Meta, or product listings on Google. Speed up creative testing — by making many versions of an image or video so we can run A/B tests and improve results faster
Remember, these built-in tools and other AI features are meant to improve image quality. But we must use them honestly and avoid making fake or misleading images of products or services.

5. Improve Bidding Strategy

Bidding is one of the most important and often most difficult parts of running PPC campaigns. With so many things to consider like user intent, time of day, device, location, and competition, manual bidding can take a lot of time and lead to mistakes. That’s where AI-powered bidding helps.

Google’s Smart Bidding is a group of automated bidding methods that use machine learning to get more conversions or higher value from each auction. This is known as “auction-time bidding.” Google’s AI learns from past data, user details (like device, location, and search), and real-time info to make smarter bidding choices than we could do manually.

The Boy Scouts of America worked with Scandiweb to boost ad performance for their Scoutshop.org store. By switching to AI tools like Google’s Performance Max campaigns and Target ROAS bidding, they could move their budget based on profit margins and seasonal demand. This led to a 48% rise in ROAS, a 49.6% drop in CPA, and double the revenue in a year.

Microsoft Advertising also gives us AI-powered bidding options like Maximize Conversions, Target CPA, and Enhanced CPC. It looks at audience actions, time of day, demographics, and device use to improve ad performance across Bing and its partner sites.

Manual Bidding vs. AI Bidding
Manual bidding can still be helpful for campaigns needing full control or when skilled PPC experts want to test something. But it’s hard to scale.

AI Bidding:

• Keeps learning from campaign results
• Reacts quickly to changes in user behavior or the market
• Removes guessing and lets us focus on strategy and creative work

6. Create Better, More Responsive Landing Pages

In the past, making landing pages that convert well needed a team of developers, designers, and copywriters. It often took days or even weeks to finish. But now, AI tools have made the process faster and easier, letting us build responsive and high-performing landing pages in just minutes.

Today’s landing page builders come with smart features like layout tips, flexible content sections, and real-time tracking of conversions. Some popular tools include:

• Instapage: Gives AI layout ideas and has built-in A/B testing to improve user paths.
• Unbounce Smart Builder: Uses machine learning to suggest page parts based on our business type and goals.
• Leadpages with AI Engine: Combines AI writing and layout templates for quick setup.
• HubSpot CMS: Offers smart content blocks and AI-based personalization for different audiences.
• GetResponse: Has AI tools for layout and text, plus easy drag-and-drop editing.
• ClickFunnels 2.0: Comes with ready-to-use sales funnels and smart page improvements.
• Landingi: Supports AI writing and offers responsive templates with A/B testing.

A good example is a campaign by World of Wonder using Unbounce. The media brand used Smart Traffic, an AI feature that looks at things like location and device type. It then sends each visitor to the landing page version that fits them best.

This kind of personalization helped increase conversions without needing a lot of manual changes. After testing for a month, World of Wonder saw a 19.7% increase in total conversion rates across three landing page versions.

7. Optimize Product Titles and Descriptions

For online stores using Shopping Ads or Performance Max, keeping our Merchant Center feed in good shape is very important. AI can help us:

Change product titles to match what people are searching for

• Make descriptions more relevant
• Find missing details in product data
• Google’s feed tools and Shopify’s AI features make this easier

8. Automate A/B Testing

AI can now test headlines, images, and CTAs — going far beyond the old way of doing manual A/B tests.

Platforms like Google Ads, TikTok Ads, and Meta Ads Manager show different ad versions automatically and improve results based on what works best. We can still make changes or adjust parts if we want.

Download our free toolkit to learn a clear A/B testing process and see an example.

9. Get Better Insights and Data-Backed Reporting

AI is changing how we look at data — not just by showing what already happened, but by helping us predict what might happen next. This move toward predictive analytics lets us make smarter, faster decisions in our PPC campaigns.

By spotting patterns in user behavior, ad performance, and conversion trends, AI tools can help us see which campaigns are likely to do well, predict chances of conversions, plan budgets better, and improve timing, channels, and messaging.

Built-in Predictive Tools

• Google Ads Conversion Probability: Tells us how likely a click is to turn into a conversion using past behavior and campaign data.
• Google Ads Performance Planner: Uses AI to predict results based on different budgets and bidding options.
• Meta Advantage Suite: Helps forecast results and improves ads and placements using expected engagement and conversions.

Third-Party Predictive Tools

• ConversionIQ (by AdRoll): Offers predictions, alerts, and dashboards to highlight weak spots and suggest better budget use.
• RevealBot: Gives us live, AI-based tracking and campaign forecasts using set rules.
• Madgicx: Tracks creative performance and uses AI to buy ads and predict ROAS potential.
• Optmyzr: Uses AI to suggest how to move budgets and change bids based on expected results.
• Supermetrics + Google Looker Studio: Shows visual forecasts and trends across platforms using predictive models.
• Acquisio: Uses prediction to adjust bids and budget automatically for better conversion outcomes.

Pro Tip: Use predictive tools along with manual checks for smart planning. AI shows us what to focus on, but human thinking is still needed to fully understand the data and apply it to our business.

Will AI Take Over PPC?

It may seem like AI is doing all the work in PPC. But while AI helps a lot, we still need skilled PPC pros to:

• Set clear goals and inputs
• Ensure ethical use of AI
• Understand deeper performance details
• Make smart, strategic choices

AI is making PPC more powerful — but it also increases the need for experts who can lead it in the right direction.

Refine Your PPC Skills to Drive Leads

The need for skilled PPC professionals is growing fast. Start or grow your career with DMI’s short Paid Search course. It covers the basics of paid search and teaches how to set up, manage, and improve PPC campaigns using GA4 and data tools.