The Downside of AI-Generated Content

The Downside of AI-Generated Content.

Have you ever felt the frustration of trying to communicate with a customer service chatbot or an automated phone system? While artificial intelligence (AI) technology is improving daily, it’s still no match for a human touch. That’s especially true when it comes to web content. 

AI content already makes up about 50% of internet text. According to a recent report from Europol, as much as 90% of online content could be synthetically generated by AI by 2026. While AI-generated content offers efficiency and scale, its significant downsides can impact quality, SEO, and authenticity.

The Downside of AI-Generated Content.

The Rise of AI-Generated Content

While the incredible impact of AI-generated content may make you feel like it’s been around for years, the reality is that the AI boom is fairly recent. In fact, ChatGPT, the leading AI chatbot and content generator, launched less than two years ago in November 2022. But its impact was immediate, accumulating over 1 million users within a week.
One of the first applications of ChatGPT’s content was web content. Businesses found they could churn out content quicker and more cheaply than the traditional method of hiring trained content writers. However, users quickly realized that ChatGPT had some obvious limitations. 

The Downsides of Relying on AI Content

While many businesses were eager to embrace AI content’s potential cost-savings, they’ve had to face some hard facts about AI’s downsides. 

Quality Issues

            Lack of Depth: Users found that AI content often lacks the depth and insight of human-written content.

           Repetitive and Generic: AI-generated content can often be repetitive or generic, leading to reader                   disengagement.

         Errors and Inaccuracies: Perhaps worst of all, there have been numerous instances of AI producing  incorrect or misleading information.

Negative Impact on SEO

  • Search Engine Penalties: Google and other search engines quickly caught up to AI and started flagging it as unreliable, affecting website rankings.
  • Lack of Originality: Since AI has to pull from existing content to generate text, it often fails to produce unique content, leading to SEO penalties for duplicate content.
  • Poor User Experience: Web experts have noted a high correlation between low-quality AI content and high bounce rates, negatively impacting businesses’ SEO.

Authenticity and Trust Issues

  • Loss of Brand Voice: While trained writers can help craft a brand’s voice, AI-generated content can dilute this unique voice and personality.
  • Trust Erosion: The human eye can easily detect AI content, and readers often perceive AI content as less trustworthy than human-written content.

Alternatives and Solutions to Keep Web Content Strong

In early 2024, Google released several updates aimed at filtering “low-quality” content. These updates affected search rankings of AI-generated content, meaning many businesses saw their web traffic drop drastically. However, there are several solutions businesses can embrace to keep web content strong and improve traffic. 

  • Hybrid Approach: Combining human and AI efforts can enhance content quality. For example, AI can help generate topic ideas or create outlines for human writers. 
  • Investment in Human Writers: Investing in skilled human writers is still the best way to generate authentic content.
  • Content Optimization Strategies: Services like Internet Marketing Team can help optimize content without relying solely on AI by focusing on other metrics such as keyword research and user intent analysis.

The Downside of AI-Generated Content.

Protect Your Website: Proceed with Caution and Trust the Experts

AI-generated content doesn’t have to be a zero-sum game. Embracing assistive technology can boost efficiency and offer cost-effective solutions to businesses. The key to successfully using AI for web content lies in understanding th potential downsides and taking a thoughtful approach to its integration. It comes down to balancing AI efficiency with human creativity and insight for optimal content creation.


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