AIs conquer content creation

Basically, the principle of an AI works as follows. It is fed information and data and then receives results. However, to ensure that these also meet the requirements and needs, the AI must first learn the right topics. If an AI is to write texts suitable for SEO, it must first be taught what is important for this – keywords, text length, language. This is where ChatGPT is causing a stir. This AI can not only spit out finished texts, but also discuss the required content with the user. With the help of ChatGPT, it is possible to have detailed texts created for a very specific purpose. You just have to explain to ChatGPT that it should be an SEO optimized text. What keywords should be chosen, what text length, what is the topic. Once the program has all the necessary information, it will do the rest.

What is possible?

By communicating directly with the AI, it learns constantly and can adjust the result even while programming. For example, it is possible to enter a programmed code and ask the AI why it does not work correctly. The AI then works out together with the programmer where the error could lie.

Some content creators already use ChatGPT to create their posts. Be it captions or whole SEO optimized blog posts. If you give the AI the right and important content, it automatically writes the text. Here it depends on the right wording and you have to give feedback. The whole thing is therefore still connected with your own work and input. An AI cannot yet replace the entire workload.

Currently, there are still limitations and the AI does not always write correct solutions, but only plausible solutions. However, these cannot be relied upon without verification. Likewise, attention must be paid to the wording. Even minor reformulations can help the program to answer a question correctly after all.

What does collaboration with an AI look like?

To get a better feel for how AI works, we had a “chat” with ChatGPT ourselves once and made a request. Our topic for the test was a blog post about Adobe Commerce and its USP. Making the request took about 2 minutes. After about 1 minute, we already had a finished text framework. Of course, this had to be completed so that the blog post was also interesting and hit the content focus. As soon as we went deeper into the topic, it took longer for ChatGPT to gather the necessary information.