How AI Can Help You With Google Ads – Ep #65 

Google ads AI

Continuing on the path of AI, this week the digital marketing team talks about how AI can help you with Google Ads. Follow along to learn more about using AI in Google Ads and the different ways to do so.

AI has been a part of digital marketing for quite some time, and it plays a significant role in Google Ads. In this blog post, we’ll examine the various ways AI is utilized in Google Ads, and how you can leverage it to optimize your campaigns.

Targeting and Audience Segmentation:

Google Ads uses AI for targeting and audience segmentation, just like Facebook Ads. Based on your search behavior and browsing habits, Google places you into different categories and demographics. This helps advertisers target the right audience with their ads. However, it’s essential to remember that AI-generated audience segments may not always be 100% accurate, so testing different audiences is crucial.

By utilizing Google’s AI-based audience segmentation, you can better understand your target customers and create ads that resonate with them. This helps improve engagement, click-through rates, and ultimately, conversions.

Performance Max Campaigns:

One recent development in Google Ads is Performance Max Campaigns. With this type of campaign, you can target audiences without selecting specific keywords. Instead, you provide a budget, audience targeting, creative, and conversion objectives. Google’s machine learning then allocates your budget across different ad placements to get the most conversions for the least amount of money.

Although this can save time, it’s essential to ensure that the AI-generated headlines and ad copy align with your brand and messaging. It’s also worth noting that if you don’t provide a video for your ad, Google will create one for you, which may not accurately represent your business. Always make sure to provide the necessary creative assets to maintain control over your brand image.

Smart Bidding Strategies:

AI-powered Smart Bidding strategies can significantly impact your Google Ads performance. Smart Bidding uses machine learning to analyze millions of dataAI and Google Ads points and set the optimal bids for each auction, ensuring that you get the best possible return on your ad spend. There are several Smart Bidding strategies to choose from, such as Target CPA, Target ROAS, and Maximize Conversions.

These strategies can be highly effective when properly implemented, but it’s crucial to monitor their performance and adjust settings as needed to optimize your campaigns further.

AI and Search Ads:

In search ads, AI helps determine which keywords are more likely to convert and adjusts your ad rank accordingly. This means that the top ad isn’t always the one that pays the most but rather the ad that aligns best with Google’s guidelines. Writing ad copy that matches keywords and landing pages is crucial for getting the best results.

Dynamic Search Ads:

Dynamic Search Ads (DSAs) are another example of AI in action within Google Ads. DSAs generate ad headlines based on users’ search queries, leading to higher click-through rates. This can help you discover new, less expensive keywords to target, but it’s essential to monitor performance and make adjustments as needed.

Keyword Optimization:

AI can also help you optimize your keyword targeting by analyzing search query data and identifying new keyword opportunities. This can lead to more efficient ad spend and increased conversions. It’s important to continually monitor your keyword performance and adjust bids and targeting as necessary to maximize your results.

Responsive Search Ads:

Responsive Search Ads (RSAs) are a powerful tool that leverages AI to create ads that adapt to users’ search queries. By providing multiple headlines and descriptions, RSAs enable Google to mix and match the elements, creating ads that are tailored to each individual search. This can lead to higher engagement and conversion.


AI has become an integral part of Google Ads, with numerous applications such as targeting, ad placement, predictive modeling, automation, performance measurement, and audience segmentation. While AI can save time and improve efficiency, it’s essential to maintain a hands-on approach to ensure that your ads stand out and align with your brand.

By understanding the various ways AI is used in Google Ads and monitoring your campaigns’ performance, you can make the most of this powerful technology and drive better results for your business.

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