Artificial intelligence in content creation: services worth testing

by Dr Marketing Marketing

Artificial intelligence is a mathematical model capable of self-improvement, acquiring new information and improving its own algorithms based on it.

This principle of self-improvement is applied in technologies of many industries, but in this article, we will talk about AI-based content generators.

We are talking about Midjourney and Dall-e, which are used to create illustrations, paintings, magazine covers, etc.

Among text generation, the most popular AI that makes notable news stories is Generative Pre-trained Transformer 3 (GPT) by OpenAI. This model writes convincing scientific articles about itself and communicates in text chats like a real person.

Social media platforms use self-learning models to apply filters and masks (they learn to recognize faces and their elements first), Google uses neural networks to intelligently optimize Performance Max campaigns, and GitHub has an automated assistant that helps users write code. And GitHub users themselves create and share their own neural networks.

Hypothetically, you can work with all of these models directly by joining the testing team. But I am not a programmer, so I have to use more user-friendly services. Essentially, these are intermediaries that have already written the infrastructure for communicating with AI. Thanks to services, we can use AI capabilities even without direct access to the neural network and without knowing programming languages. Next, let's look at what services are available, how they are useful, and how to use them in everyday work.

Text generation services

Neural networks work best with English, and sometimes robots write better in English than non-English speakers. Artificial intelligence is able to use phrases, metaphors, and adjectives; and services can follow the structure of the text according to the genre: an email will have a polite greeting and farewell, and, for example, a social media post will end with a logical call to action.

Neural networks are great at writing about "hot" topics. Ask AI to generate a post on "how to be productive at work" and you'll see a standard set of time management clichés that can be immediately shared in a motivational community. But the more professional the task becomes, the more carefully you need to check the content. I still haven't gotten a single content service to provide me with content about Google Analytics 360 - they all keep shifting the topic to Universal Analytics or Google Analytics 4 (I had to write a text about Google Analytics 360 myself).

So, artificial intelligence is already capable of generating publishable text, but I still advise you to check the content. Let's look at specific examples.

Smodin Author

Smodin is a tool mainly for rewriting articles. You give it a topic or keywords, it does a little googling on it, suggests an article outline, and finally gives you its own version.

The tool is free, you get three "credits" per day, and in fact, 1 "credit" is used to create one article. But there is a limit to the number of characters that the service agrees to display for free. At the time of writing an article, you can view only 1000 characters, and then you have to write it yourself.

This tool can be useful for creating an SEO article plan. If you are looking for a new approach to creating content that will answer people's questions to Google, this service will help you analyze the current SERPs and offer a sensible article plan.

Rytr

Rytr is a shareware tool that generates texts in more than 20 forms.

It can write blog posts, letters, testimonials, texts for social media and Google Ads, channel descriptions, and videos for YouTube, and it can also perform useful SEO procedures.

In general, this service allows you to extract keywords from a competitor's text, generate additional similar ones, and then use them to generate your own ads for targeted and contextual advertising.

It is worth noting that this service understands and works with the Ukrainian language. For example, let's generate a formal letter with simple theses.

Rytr understood what we wanted to write about, structured this information, and even added to it in some places.

You can adjust the level of creativity in the service, and this will help you get out of the "creative crisis" and give you new ideas and solutions. For example, here's a song about an enthusiastic SMM specialist with the highest level of creativity. In the middle of the song, he goes to kill spammers and retrains as a white hat SEO, but returns to his followers.

Neuroflash

Neuroflash is another text generator. It offers more than 80 different types of texts that it can produce: from biographies for social networks to love letters. But unlike the previous service, this one doesn't know Ukrainian.

I started using this service when I had to write several dozen seo descriptions for a website. My ability to be creative with the form and content ended after about 10 descriptions, and the neural network described everything I needed without any problems.

Let's consider the functionality using the example of the AI definition given at the beginning of the article.

First, you need to choose a language and fill in the brief (it varies depending on the chosen text form). After that, the service will offer its options.

You can click on the option you like and edit it further in the text box on the left. You can also click "Continue" and it will continue writing.

There is also a chance that you will receive a response that the service was unable to generate enough high-quality options, and it will ask you to change the brief for another attempt. Since the billing depends on the number of words generated, it is very satisfying when the service does not waste words on something that it considers to be of insufficient quality.

Conclusions: advantages and disadvantages of using AI

Thus, artificial intelligence can already be used in everyday work. Various generators can be useful for marketers even if they do not know programming languages and cannot directly work with a neural network using code.

The advantages of using AI include the following:

They help to overcome the "creative crisis" and diversify monotonous tasks, such as writing meta tags for a website.
Sometimes they improve texts, especially English-language ones.
They know how to do the grassroots work that would have been entrusted to an intern before. Now interns can be trusted with primary processing.

On the other hand, there are a few nuances that should be taken into account before integrating AI into your daily work.

The result of generation is unpredictable, it can be very cool and high-quality, or it can turn out to be some nonsense.
It requires control. In texts, it is very rare that you can use the AI-generated version immediately. Generated images can only be published with the note "look how AI interprets something". For the most part, generated texts and images need to be edited.

In general, we should not be afraid that robots will take away jobs. But bots are already a crutch that performs tasks here and there that would not be done at all or would take weeks to complete. You should be mentally prepared for the emergence of "AI operator" vacancies and the emergence of graduates of various schools with this specialization. Those who want to not only catch up with this trend but also lead it should dig into GitHub and learn python (or another language), and write services that will be used by AI operators in the future.