Live Webinar Recap – AI Content Sucks: A Discussion

TL; DR: If you were unable to attend our event, “AI Content Sucks: A Discussion,” you can find a summary or watch the complete recording of the event below.

In recent years, AI models have advanced significantly. Tools like ChatGPT and the evolution of GPT, GPT-2 and now GPT-3 make AI copy output much more humane than previous iterations.

How digital marketers can use AI for SEO

The ability to rapidly produce large quantities of one-of-a-kind copies that obviously don’t read as if they were computer-generated has created quite a stir. ChatGPT can also be used to output text in different tones, summarize information, create topic ideas, generate specific code/regex declarations, and more.

If you’re using ChatGPT to output code, our guests have observed varying levels of accuracy for your outputs:

  • Javascript – Moderately accurate
  • Python – Pretty accurate
  • Regex – Fairly accurate

All these possibilities create a lot of applications for SEOs, content creators and other digital marketers, which you can check here.

Pushing the limits of AI for better AI content

Despite the progress made, ML models are not flawless. Machine Learning Models AI/ML models are subject to bias depending on the data used to train the model and other factors.

They also make factual errors and ChatGPT doesn’t provide up-to-date information. To counter this, you can use a fact-checking Python module to verify your AI outputs.

A further problem is that language models also do not understand context. Thus, they may produce inappropriate language given a particular context or setting for where it is being posted.

Also, AI content can be dry and feel like you’re reading an encyclopedia. So, don’t freak out just about its ability to scale the output of your content, as that output may not be something your audience finds engaging.

Large Language Models (LLM) will continue to improve, but you should always involve humans in the editing and supervision process. AI solutions should not replace SEOs or content strategists to drive AI-generated SEO content.

Main takeaways

  • AI Content has the potential to help scale SEO content
  • He always uses human supervision and editing to push his limits
  • It’s best not to use it for YMYL arguments
  • The best uses for AI/ML content are when it’s used to:
    • Short-form content
    • Summary
    • Schemes and first drafts
    • Make repetitive copy unique
  • Use specific prompts and split your content input for better results
  • Consider building your own ML content tools if you have the skills/resources

What’s next?

Keep an eye out for more AI and ML discussions each month! We will be holding our next installment of Monthly ML Madness on February 25th at 10am PST, when we discuss, Will GPTChat kill Google? Or will it kill us (SEO)?

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