How effective is the use of AI in copywriting?
The development of innovative technologies inspires both admiration and apprehension. Many professionals fear progress and do not rush to use its products. The situation is similar to the use of AI in copywriting. Some writers are sure that innovation will drive them out of the market. In practice, however, this is not the case.
Implementing AI-based solutions mainly aims to support specialists in their work. The innovations are primarily about efficiency improvements and automation of work processes. When the robot takes over routine tasks, the specialist is involved in the creative part of the activity. This also applies to copywriting, where creating unique, live content is important. So far, AI has not been able to generate exciting texts for readers and make them wait for new publications. At the same time, writers have an excellent opportunity to simplify the writing process through innovation.
What copywriting tasks AI can take on
One factor in successfully using AI solutions is getting the task right. Image creation services have shown excellent results in this regard. The details and subject matter must be clearly defined so that the technology can create the appropriate material. However, AI cannot always perfectly match the text description when creating images. For example, there may be different interpretations or discrepancies between what is in the text and what is in the AI’s output.
When it comes to writing, most professionals reject AI services. There are several reasons for this:
– Google’s strict policy on such texts;
– the creation of dry content that requires careful revision;
– the need to check the accuracy of the information presented.
At the same time, many professionals are using AI services to supplement content. For example, AI helps add headings or keywords to text to create meta tags. Specialised services also help find errors, analyse spam, and perform other tasks. Moreover, these solutions are constantly under improvement, and their application areas expanded.
AI in copywriting: the pros and cons
The main advantage of these innovations is that they save specialists’ time. AI analyses data collects the necessary information, and transforms it into a convenient form. AI is able to quickly generate publications on a particular topic, create step-by-step instructions, or review documents. Of course, the result of its work requires editing, but AI fulfils the task extremely quickly.
Modern tools focus on personalisation, which is extremely important when creating commercial content. A service also makes it possible to delegate tasks to several specialists. In addition, such solutions are ideal for finding ideas for publications or their headlines.
On the downside, AI is not yet ready for full-blown copywriting. It generates monotonous texts with dry information statements more often than not. In addition, AI may use inappropriate stylistic techniques or fail to understand the concept of the emotional component.
Considering all this, AI should be used with caution. It’s important to remember that it’s a great assistant but not a doer in its own right.