Live Webinar Recap – AI Content Sucks: A Discussion [Monthly ML Madness]

TL;DR: If you were unable to attend our event, “AI Content Sucks: A Discussion,” you can catch the recap here or watch the full recording of the event below.

In the past few years, AI models have greatly advanced. Tools like ChatGPT and the evolution of GPT, GPT-2, and now GPT-3 make the output of AI copy a lot more human than previous iterations.

How Digital Marketers Can Use AI for SEO 

The ability to quickly produce large amounts of unique copy that don’t obviously read like they’re computer generated has created quite the buzz. ChatGPT can also be used to:

• Produce copy in different voices and tones
• Summarize or reformat information
• Create alternative titles and related topic ideas for blogs and other content
• Scale your content marketing efforts
• Make marketing workflows more streamlined
• Test the organic traffic for different topics  

You can even use it to generate specific code or regex statements. Although, if you are using ChatGPT to produce code, our guests observed different accuracy levels for outputs: 

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

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

Overcoming Limitations of AI for Better AI Content

Despite the progress being made, Machine learning models aren’t flawless. 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 tools like ChatGPT don’t provide current information. To counter this, you can use a fact-checking Python module to fact-check your AI outputs. 

An additional issue is that language models also don’t understand context. They can produce language that is inappropriate given a particular context or setting for where it’s being published.

Furthermore, AI content can be dry and feel like you are reading an encyclopedia. So, don’t go crazy just because of its ability to scale your content output, as that output may not be something your audience finds engaging.

Large language models (LLM) will continue to improve, but you should always have humans engaged in the process for editing and oversight. AI solutions shouldn’t replace SEOs or content strategists to guide AI-generated SEO content.

Major Takeaways

• AI Content has the potential to help scale SEO content 
• Always use human oversight & editing to overcome its limitations
• It’s best to not use it for YMYL topics
• The best uses for AI/ML content are when it’s used for:

• • Short-form content
  • Summarization
  • Outlines and first drafts
  • Making repetitive copy unique

•  Use specific prompts and chunk your content input for better outputs
• Consider building your own ML content tools if you have the skills/resources

What’s Next?

Be on the lookout for more AI and ML discussions each month! We’ll be holding our next installment of Monthly ML Madness on February 25th at 10 am PST, when we will be discussing,  Will GPTChat kill Google? Or will it kill us (SEOs)?

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