You’ve probably heard of ChatGPT — the artificial intelligence chatbot that the internet is obsessed with for its ability to create content.
The quality of ChatGPT is exceedingly high compared to similar language models and AI programs, which brings the question, “Can we use ChatGPT for SEO and blogging?”.
The answer is a little more challenging than saying yes or no — ChatGPT can be a helpful tool, but it isn’t a replacement for a traditional content strategy.
Before publishing AI-generated content on your website, look into these five things to know about ChatGPT for SEO and blogging.
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1. ChatGPT Uses a Conversational Format
As a language model, ChatGPT uses a large dataset of human-generated text to train on — this results in an ability to generate coherent text with a conversational tone.
Regarding ChatGPT’s conversational abilities, the program can generate responses to prompts related to your input.
ChatGPT can generate responses to questions and engage in casual and complex conversations across various topics.
However, you should note that ChatGPT isn’t a real person — the program doesn’t have the same level of knowledge or understanding as a human.
So, be careful with ChatGPT; it doesn’t always create responses that are appropriate, accurate, or in context. In addition, ChatGPT can’t fully engage in conversation in the same way as genuine people can.
2. ChatGPT and the Reinforcement Learning Method
There’s a common misconception about ChatGPT — that it uses the traditional reinforcement learning method — which is untrue. While reinforcement learning is commonly used in machine learning, ChatGPT is not specifically trained with this method.
Instead, ChatGPT uses human feedback to learn.
With reinforcement learning, an agent or AI is trained to perform specific actions in specific environments to maximize a reward signal. Then, they receive feedback in the form of penalties or rewards based on their activities before adjusting their behavior accordingly. This method allows AI programs to learn which actions lead to the most desirable outcomes.
However, you can use ChatGPT to generate content for a reinforcement learning system designed to teach a program to communicate better with people.
3. The Techniques Employed by ChatGPT
In machine learning, a language model like ChatGPT is trained to predict the next words in a sequence based on the context provided by previous communication. ChatGPT uses this training data and other human-generated text datasets to learn our language’s structures and patterns to help it stay in context and speak in a conversational tone.
ChatGPT also uses the transformer architecture — a neural network designed to process natural languages. This architecture is composed of various layers, each responsible for learning the different aspects of language input data. Moreover, these layers process input data in parallel, making them well-suited for handling text and other long data sequences.
Finally, ChatGPT uses the autoaggressive language modeling objective — a machine learning object designed to train language models. As we discussed earlier, this process involves predicting the next word in a sequence.
ChatGPT uses this objective to train its model to generate natural-sounding and readable text based on your input.
Related: 10 Blogging Mistakes to Avoid
4. ChatGPT Responds to (Almost) Everything
As one of the largest language models, ChatGPT is trained on various human-generated text and can create responses to prompts across many topics.
Other than simply answering questions like many AI language models, ChatGPT can engage in a genuine conversation about complex topics — most of the time.
For example, ChatGPT will not generate text on certain topics (violent, sexual, or harmful content). It also cannot browse the web and is unaware of current events — ChatGPT doesn’t know about anything after its creation in 2021.
So if you want to use ChatGPT to create fresh and up-to-date content, consider looking into other strategies, like working with a content agency.
5. Other Lesser-Known Limitations of ChatGPT
Beyond what we’ve discussed, ChatGPT has some other limitations in its use for creating SEO content and blogging. For example:
- ChatGPT has built-in biases. While it’s trained to generate harmless, truthful, and helpful text, these biases come with a downside. You have to be extremely specific with your prompts, and even then, ChatGPT’s biases might affect the outcome.
- ChatGPT needs detailed instructions. If you want ChatGPT to generate high-quality and original content, it takes as much (or more) work on your part than writing it from scratch. It also tends to create articles that look unique but, upon closer examination, end up being plagiarized from other sources.
- Google knows your content is created by AI. Here comes the biggest limiting factor of using ChatGPT for SEO purposes — the content it creates comes with a cryptographic watermark. Search engines know that your content isn’t created by a real person, which does more harm to your SEO strategy than good.
Following Google’s guidelines, you can use AI tools to create meta descriptions by summarizing web pages. And there’s nothing against using tools like ChatGPT to create outlines or content briefs.
However, handing over your content creation to AI and releasing it to the world isn’t effective for SEO, quality, helpfulness, or accuracy — especially if you want content relevant to current events.
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Will ChatGPT Ever Replace Humans for SEO and Blogging?
ChatGPT and other machine learning models won’t completely replace the human workforce — at least not in our lifetime. It’s true that ChatGPT can effectively automate certain processes and tasks; however, it cannot replicate the abilities and skills of people.
Humans bring a unique combination of problem-solving abilities, adaptability, and creativity that machine-learning models cannot easily replicate. As a result, the future will likely consist of people and AI working together — not competing.
Not to mention the ethical and social implications of replacing people with machine learning models.
Automating certain tasks can bring benefits to companies, like lower costs and increased efficiency, but it can also have negative impacts on the economy and employment.