Artificial intelligence has recently made its way into the world of affiliate marketing. AI tools are now being used to create ad headlines and descriptions, generate images and videos, analyze data, and develop entire advertising funnels. But how does Google react to these AI-generated ad creatives, and can they really become a "gold mine" for affiliates?
Today, the team at YeezyPay, a service that provides access to trusted Google Ads agency accounts, will answer these questions.
It's important to note that Google has been integrating artificial intelligence into its own services and products for quite some time, including Google Ads. AI algorithms are used to analyze data, optimize bids in advertising campaigns, predict conversions, and even automate entire campaigns (such as with Universal App Campaigns). However, with the recent advancements in neural networks, new tools have emerged that can create various types of advertising content, including static images, videos, and ad copy.
Officially, Google does not prohibit the use of AI generators to create ad content. However, there are several important nuances to consider when using AI-generated creatives in your Google Ads campaigns:
Uniqueness versus mass production: While AI generators can churn out hundreds of unique creatives in a matter of minutes, the quality of these outputs often leaves much to be desired. AI-generated content can appear templated, generic, and lacking in emotional resonance, failing to capture users' attention effectively. Google Ads places a high value on creativity and originality, so overreliance on AI-generated images and copy is not recommended. Experienced creative designers and media buyers suggest manually refining AI-generated creatives and thoroughly fact-checking them to ensure accuracy and compliance with real-world information. It's also worth noting that even the most sophisticated AI services currently struggle with rendering certain objects, body parts, and text elements realistically.
Violation of advertising platform rules and local laws: Despite continuous advancements in AI technology, some tools have a tendency to generate creatives that directly or indirectly violate Google Ads policies. Using such creatives in ads can lead to campaign rejection or, in more severe cases, account suspension. For example, if the AI prompt does not include clear restrictions, the generated ad might promise users unrealistic results, such as "guaranteed weight loss of 30 kg in 7 days," or feature prohibited images or terms.
Launching campaigns with AI-generated creatives in grayhat verticals is challenging when using regular farmed accounts. To increase the likelihood of ads passing moderation, affiliates should consider using trusted Google Ads agency accounts. YeezyPay provides access to accounts with a higher trust level and dedicated Google account managers, which can help manage the complexities of running campaigns especially in grayhat verticals.
Content that does not correspond to reality: AI tools have the potential to "hallucinate" facts and create content that is disconnected from reality. As Google Ads strives to provide users with reliable, trustworthy information, both automated systems and human moderators diligently review ad content to identify and block ads containing inaccurate or misleading information. Marketers must take the time to fact-check AI-generated content before incorporating it into their campaigns to avoid potential issues.
To illustrate these points, let's consider some examples of AI-generated creatives for a gambling offer targeting users in Iceland. While the overall visual composition may clearly convey the intended message – what users can expect after clicking the ad – the creatives may lack the emotional impact needed to drive engagement. Users might fixate on the random numbers and blurry images of roulette wheels and slot machines rather than feeling compelled to take action. Such "raw" creatives are likely to produce low click-through rates (CTR), even with eye-catching headlines, ultimately harming the ad's quality score and resulting in fewer clicks at a higher cost-per-click (CPC).
Some of the key advantages of using AI in ad creative production include:
For example, an affiliate marketer could use ChatGPT to generate multiple, diverse prompts for Midjourney, an AI image generation tool, to test various visual styles, color palettes, and compositional elements. By providing the AI with detailed information about the offer, unique selling proposition, creative objectives, potential challenges, and target audience, the marketer can generate a wide range of relevant images. Some of these images can then be refined by a human designer, while the most promising ones can be directly uploaded to a test campaign.
As initial performance data (e.g., CTR, conversion rates) becomes available, the marketer can further refine their approach, tasking the designer and Midjourney with generating additional variations of the top-performing ad creatives.
Data analysis and conversion forecasting: A growing number of AI-powered tools specialize in analyzing the performance of ad creatives, landing pages, and entire campaigns, offering valuable insights and recommendations for optimization. By using these tools, affiliates can make data-driven decisions to improve their creatives and overall promotional strategies. For example, Google's Performance Max campaigns use machine learning algorithms to automatically generate ads, select relevant keywords, configure targeting, analyze ad performance, and adjust bids in real time.
As evidenced by the screenshot above of Google's advertising guidelines, the search giant doesn't explicitly prohibit the use of AI in ad creation or penalize marketers for doing so.
However, experienced affiliates recommend using trusted Google Ads agency accounts when promoting offers in grayhat verticals, even if Google appears to be tolerant of AI-generated creatives. Accounts with a higher trust level, such as those provided by YeezyPay, can help minimize the risk of ad disapprovals and account suspensions, giving affiliates the confidence to experiment with innovative advertising approaches, including the use of AI-generated creatives that may occasionally push the boundaries of platform rules.
However, the growing reliance on AI to generate ad creatives has introduced some uncertainty regarding compliance with Google's standards.
In most cases, AI-powered tools create content by drawing from information that's already been published somewhere online. While this can enable the rapid generation of ad creatives at scale, it often leads to a decrease in overall quality and a proliferation of templated, "soulless" content.
The reality is that 90% of the time, AI generators simply can't produce ads that are both attention-grabbing and truly eye-catching. Even the most sophisticated AI tools available today struggle to replicate the "human factor" that's so critical in great advertising. AI falls short when it comes to creativity, empathy, and understanding the subtle nuances that resonate with a target audience.
As more and more advertisers turn to AI to churn out generic, low-quality ad creatives, it's likely that Google will start to crack down on this kind of content. The advertising giant may soon implement stricter requirements for ads generated using AI tools in an effort to maintain a high bar for quality and relevance.
For affiliates and advertisers, this could mean a significant uptick in the number of ads that get rejected by Google's moderation team. In some cases, accounts may even be suspended or blocked entirely due to violations of Google's policies around AI-generated content.
One way to mitigate the risks associated with AI-generated ad creatives is to use trusted agency accounts for Google Ads. These accounts often have a bit more leeway when it comes to the moderation process, and they can be a good option for advertisers who are looking to experiment with AI tools.
So, is it profitable to use AI to generate ad creatives for your Google Ads campaigns? In many cases, the answer is yes. These tools can help advertisers save time and money on the creative process, and they can be a valuable resource for testing out new ideas and marketing hypotheses quickly and affordably.
However, it's important not to rely too heavily on any single neural network or AI tool. The key is to experiment with a variety of different solutions and to combine their capabilities in ways that make sense for your specific needs and goals.
Today, the team at YeezyPay, a service that provides access to trusted Google Ads agency accounts, will answer these questions.
It's important to note that Google has been integrating artificial intelligence into its own services and products for quite some time, including Google Ads. AI algorithms are used to analyze data, optimize bids in advertising campaigns, predict conversions, and even automate entire campaigns (such as with Universal App Campaigns). However, with the recent advancements in neural networks, new tools have emerged that can create various types of advertising content, including static images, videos, and ad copy.
Officially, Google does not prohibit the use of AI generators to create ad content. However, there are several important nuances to consider when using AI-generated creatives in your Google Ads campaigns:
Uniqueness versus mass production: While AI generators can churn out hundreds of unique creatives in a matter of minutes, the quality of these outputs often leaves much to be desired. AI-generated content can appear templated, generic, and lacking in emotional resonance, failing to capture users' attention effectively. Google Ads places a high value on creativity and originality, so overreliance on AI-generated images and copy is not recommended. Experienced creative designers and media buyers suggest manually refining AI-generated creatives and thoroughly fact-checking them to ensure accuracy and compliance with real-world information. It's also worth noting that even the most sophisticated AI services currently struggle with rendering certain objects, body parts, and text elements realistically.
Violation of advertising platform rules and local laws: Despite continuous advancements in AI technology, some tools have a tendency to generate creatives that directly or indirectly violate Google Ads policies. Using such creatives in ads can lead to campaign rejection or, in more severe cases, account suspension. For example, if the AI prompt does not include clear restrictions, the generated ad might promise users unrealistic results, such as "guaranteed weight loss of 30 kg in 7 days," or feature prohibited images or terms.
Launching campaigns with AI-generated creatives in grayhat verticals is challenging when using regular farmed accounts. To increase the likelihood of ads passing moderation, affiliates should consider using trusted Google Ads agency accounts. YeezyPay provides access to accounts with a higher trust level and dedicated Google account managers, which can help manage the complexities of running campaigns especially in grayhat verticals.
Content that does not correspond to reality: AI tools have the potential to "hallucinate" facts and create content that is disconnected from reality. As Google Ads strives to provide users with reliable, trustworthy information, both automated systems and human moderators diligently review ad content to identify and block ads containing inaccurate or misleading information. Marketers must take the time to fact-check AI-generated content before incorporating it into their campaigns to avoid potential issues.
To illustrate these points, let's consider some examples of AI-generated creatives for a gambling offer targeting users in Iceland. While the overall visual composition may clearly convey the intended message – what users can expect after clicking the ad – the creatives may lack the emotional impact needed to drive engagement. Users might fixate on the random numbers and blurry images of roulette wheels and slot machines rather than feeling compelled to take action. Such "raw" creatives are likely to produce low click-through rates (CTR), even with eye-catching headlines, ultimately harming the ad's quality score and resulting in fewer clicks at a higher cost-per-click (CPC).
The advantages of AI for affiliate marketers
Despite the challenges and limitations outlined above, AI technology offers several compelling benefits for affiliate marketers. However, it's crucial to approach AI-generated content as a supplementary tool rather than a complete replacement for human creativity and strategic decision-making.Some of the key advantages of using AI in ad creative production include:
- Saving time and resources: Developing high-quality ad creatives is a time-consuming and resource-intensive process, often requiring the skills of experienced designers. AI tools can automate or semi-automate the creative generation process, allowing marketers to produce a large volume of ad variations quickly and with minimal human input.
- Rapid, large-scale hypothesis testing: AI generators help affiliates produce dozens or even hundreds of unique creatives in a short timeframe, facilitating the rapid testing of new marketing approaches, messaging strategies, and campaign setups.
For example, an affiliate marketer could use ChatGPT to generate multiple, diverse prompts for Midjourney, an AI image generation tool, to test various visual styles, color palettes, and compositional elements. By providing the AI with detailed information about the offer, unique selling proposition, creative objectives, potential challenges, and target audience, the marketer can generate a wide range of relevant images. Some of these images can then be refined by a human designer, while the most promising ones can be directly uploaded to a test campaign.
As initial performance data (e.g., CTR, conversion rates) becomes available, the marketer can further refine their approach, tasking the designer and Midjourney with generating additional variations of the top-performing ad creatives.
Data analysis and conversion forecasting: A growing number of AI-powered tools specialize in analyzing the performance of ad creatives, landing pages, and entire campaigns, offering valuable insights and recommendations for optimization. By using these tools, affiliates can make data-driven decisions to improve their creatives and overall promotional strategies. For example, Google's Performance Max campaigns use machine learning algorithms to automatically generate ads, select relevant keywords, configure targeting, analyze ad performance, and adjust bids in real time.
How AI-generated ad creatives and trusted Google Ads agency accounts can be used together to test and promote grayhat offers
While AI demonstrates remarkable capabilities in generating visual content, the responsibility for ensuring that creatives comply with Google Ads policies and deliver strong performance ultimately lies in the hands of the affiliate marketer.As evidenced by the screenshot above of Google's advertising guidelines, the search giant doesn't explicitly prohibit the use of AI in ad creation or penalize marketers for doing so.
However, experienced affiliates recommend using trusted Google Ads agency accounts when promoting offers in grayhat verticals, even if Google appears to be tolerant of AI-generated creatives. Accounts with a higher trust level, such as those provided by YeezyPay, can help minimize the risk of ad disapprovals and account suspensions, giving affiliates the confidence to experiment with innovative advertising approaches, including the use of AI-generated creatives that may occasionally push the boundaries of platform rules.
The uncertainty of using AI in generating ad creatives for Google Ads
Google is committed to providing its users with valuable, unique content across all areas of its platform, including advertising. The company's goal is to ensure that the ads people see are high-quality, relevant, and engaging.However, the growing reliance on AI to generate ad creatives has introduced some uncertainty regarding compliance with Google's standards.
In most cases, AI-powered tools create content by drawing from information that's already been published somewhere online. While this can enable the rapid generation of ad creatives at scale, it often leads to a decrease in overall quality and a proliferation of templated, "soulless" content.
The reality is that 90% of the time, AI generators simply can't produce ads that are both attention-grabbing and truly eye-catching. Even the most sophisticated AI tools available today struggle to replicate the "human factor" that's so critical in great advertising. AI falls short when it comes to creativity, empathy, and understanding the subtle nuances that resonate with a target audience.
As more and more advertisers turn to AI to churn out generic, low-quality ad creatives, it's likely that Google will start to crack down on this kind of content. The advertising giant may soon implement stricter requirements for ads generated using AI tools in an effort to maintain a high bar for quality and relevance.
For affiliates and advertisers, this could mean a significant uptick in the number of ads that get rejected by Google's moderation team. In some cases, accounts may even be suspended or blocked entirely due to violations of Google's policies around AI-generated content.
Conclusion
To be clear, Google doesn’t completely oppose the use of AI in generating ad creatives. However, affiliates and advertisers need to be aware of the rules and best practices laid out by the platform. It's essential to remember that Google's algorithms and moderators are always closely monitoring the ads that get uploaded, and they're quick to flag anything that doesn't meet their standards.One way to mitigate the risks associated with AI-generated ad creatives is to use trusted agency accounts for Google Ads. These accounts often have a bit more leeway when it comes to the moderation process, and they can be a good option for advertisers who are looking to experiment with AI tools.
So, is it profitable to use AI to generate ad creatives for your Google Ads campaigns? In many cases, the answer is yes. These tools can help advertisers save time and money on the creative process, and they can be a valuable resource for testing out new ideas and marketing hypotheses quickly and affordably.
However, it's important not to rely too heavily on any single neural network or AI tool. The key is to experiment with a variety of different solutions and to combine their capabilities in ways that make sense for your specific needs and goals.
