What you need to know before using ChatGPT for Content Production and SEO.
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What you need to know before using ChatGPT for Content Production and SEO.
ChatGPT is an artificial intelligence chatbot that can take instructions and perform tasks like writing articles. The quality of ChatGPT’s outputs and responses is astounding, so using it for SEO looks pretty appealing. However, you should know some essential details before deciding how to use it for content and SEO.
In summary, ChatGPT is a type of machine learning called the Large Learning Model.
A large learning model is an artificial intelligence trained on large amounts of data that can predict the next word in a sentence.
The more data it is trained on, the more types of tasks it can perform (like writing an article).
Sometimes great language models develop unexpected capabilities.
Stanford University writes about how the increase in training data enabled GPT-3 to translate text from English to French even though it was not explicitly trained to do this task.
Major language models such as GPT-3 (and GPT-3.5, on which ChatGPT is based) are not trained to perform specific tasks. However, they are prepared with a wide range of knowledge they can apply to other fields.
This is similar to the way a human learns. For example, if a person knows the basics of being a carpenter, they may use that knowledge to build a table, even if they have not explicitly been taught how to do it.
Before using ChatGPT in SEO and content production, it is helpful to keep this information in the back of your mind.
ChatGPT is specifically programmed not to generate text on harmful content topics such as graphic violence, sex, and instructions on how to build an explosive device.
Another limitation is that it is unaware of any content created after 2021. So if your content needs to be up-to-date and fresh, ChatGPT in its current form may not be helpful.
However, considering the enormous mobility and learning speed in the field of artificial intelligence, it seems normal that this handicap will be overcome with the next release.
A significant limitation is that the machine has been trained to be helpful, accurate, and harmless. Unfortunately, these are ideals and deliberate biases built into its algorithm.
Programming to be seemingly harmless ensures that the output avoids negativity. That’s a good thing, but it also subtly changes the article from one that might ideally be neutral.
In a way, one has to get behind the wheel and explicitly tell ChatGPT to go in the desired direction. The good news is that the software updates and evolves for the better as you give feedback.
My advice is not to jump headlong into the first advice given by the tool; question its accuracy and provide lots of feedback.
ChatGPT requires detailed instructions to produce high-quality content that is original or reflects a particular point of view. The more instructions are given, the more sophisticated the output will be. This is both a strength and a limitation to be aware of. The fewer instructions there are in the content request, the more likely the output will share a similar output with another request. Since it is an extremely patient and understanding tool, you can request a lot of revisions 🙂
Researchers at Google and other organizations have been working on algorithms to detect AI-generated content for many years successfully.
At this point, I have to say that they have been successful to a certain extent. However, in my opinion, placing the content we obtained from the tool on our site as it is one of the biggest mistakes we can make. Therefore, Therefore, I recommend that you learn to use this tool skillfully to think more like a writer’s assistant and reduce the unit time you spend on content production.
The best use of AI tools is to scale SEO to make an employee more productive. Unfortunately, this often consists of leaving the tedious research and analysis to artificial intelligence.
For example, I have personally experienced that ChatGPT is highly adept at generating meta descriptions. I even shared the meta description he created with my customers and got their approval.
Summarizing web pages to create a meta description might be an acceptable use, as Google specifically says this isn’t against their guidelines.
An interesting use would be ChatGPT to create a post outline or content summary. For example, if you want to write a blog post over 1000 words with many subtitles, you can ask the tool which subtitles would be appropriate to use. He usually gives excellent suggestions.
Delegation of content creation to an AI and publishing it as is may not be the most effective use of AI unless it is first reviewed for quality, accuracy, and usefulness.
For example, if you produce content in English, checking and editing it with “proofreading” tools such as Grammarly is helpful.
If you are producing content on a subject that requires expertise — authority-trust, you can use artificial intelligence to make your expert writer’s job easier. At this point, we can say that the experience and experiences of the expert > artificial intelligence 🙂
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