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Google expands generative AI capabilities for automatically created assets

Google expanded its generative AI features for automatically created assets (ACA) to all English language advertisers in the U.S. and UK.

Why we care. If you are an English-speaking advertiser in the U.S. or UK, you can now start utilizing generative AI to help create your ad campaigns, giving you access to a broader range of ideas instantly and significant time-saving benefits.

ACAs explained. Automatically created assets (ACAs) are a campaign-level setting that advertisers can opt into. By activating this setting, assets such as headlines and descriptions are automatically generated. These generated assets complement the ones provided by advertisers for their responsive search ads, enhancing the overall ad content.

Generative AI and ACAs. In some cases, generative AI is used to create assets that better match what people are searching for. This helps ensure that the generated content is relevant and aligns with users’ search queries.

How it works. Automatically created assets (ACAs) work in conjunction with responsive search ads by generating new content, like headlines and descriptions, based on the specific details of your ad. This includes factors such as your landing page, existing ads, and keywords.

When your ad is eligible to appear for a query, the responsive search ads consider both the pool of assets you’ve created and the automatically generated assets. The system then serves the combination predicted to perform the best.

What Google is saying. Google Ads liaison officer Ginny Marvin said on X:

• “Generative AI is used to improve the relevancy of assets to the search query and predicted performance of your Search ads in Search and Performance Max campaigns.”
• “ACA is meant to supplement, not replace, your existing headlines and descriptions.”

Deep dive. Read Google’s automatically created assets guide for more information.

Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing

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