5 Things You Need to Know Before Using Artificial Intelligence for Ad Copy

12/20/22

AI chatbots, such as Chat GPT and deep learning image models like DALL-E, have recently created a lot of hype surrounding artificial intelligence services online. I believe these are game-changing tools that will alter how we live and work, but it’s essential to consider the potential downsides before using AI for your company or product. This applies to all advertising platforms, including Google Ads, Facebook Ads, Instagram Ads, TikTok Ads, etc. You need to consider that:   

  1. AI algorithms may need help to create truly original and creative ad copy since they generate text based on existing patterns and data. Digital marketers and copywriters bring unique perspectives and ideas to the table, which leads to more engaging and compelling ad copy. Combining knowledgeable humans and AI is a better recipe for success than just AI.  
  1. AI might not fully understand the context or nuances of language (or your product or service), which could result in ads that aren’t as effective or relevant as they could be. It’s essential to consider your audience and make sure the ad copy speaks to them in a way that makes sense.
  1. AI may present ethical concerns, as the text generated by AI could be biased or perpetuate harmful stereotypes and may not fully understand cultural differences and sensitivities. You and your team must be aware of these risks and take steps to prevent them.
  1. AI algorithms rely on large amounts of data to learn and make decisions, and you don’t have access to it. The quality and breadth of the data you use to train the algorithm can impact the ad copy’s effectiveness.
  1. AI ad copy could result in potential legal issues, such as copyright or trademark infringement. It is essential to carefully review AI-generated content to ensure that you are not simply using your competitors’ ad copy. 

While AI can be a helpful tool for generating ad copy ideas, it’s vital for businesses to carefully consider the potential limitations and challenges before incorporating it into their marketing strategy. However, by combining AI, human expertise, and judgment, companies can create effective and engaging ad copy that resonates with their target audience and achieves their marketing goals. 

*This post was written 75% by a human and 25% by an AI Terminator at Skynet Research (kidding about Skynet 😉)   

This AI robot image of my Granular headshot was created with assistance from AI at Wombo.
Jeremy Packee - Granular Director, Emerging Platforms black and white headshot

Jeremy Packee

Jeremy Packee is a Senior Paid Media Manager at Granular, and specializes in full-funnel and multichannel approaches to digital marketing helping both B2B and B2C businesses reach their goals -- from healthcare to the restaurant industry. He holds a degree in Business Marketing from the University of Wisconsin - Milwaukee and is experienced in Amazon Ads, Google Search & Shopping, YouTube, Google Analytics, Microsoft/Bing, LinkedIn, TikTok, Snapchat, Pinterest, and Facebook/Instagram. He enjoys motorcycles, action sports, his two cats, and watching the NBA in his free time.