Why ordering texts in AI is risky for SEO?
Posted: Wed Dec 04, 2024 10:18 am
Generative artificial intelligence was supposed to change SEO copywriting forever . Just imagine: the service independently writes meaningful texts, filling them with key queries and following a given structure. But, unfortunately or fortunately, this did not happen. WordFactory's experiments show that AI is capable of performing only a limited range of tasks in those areas that do not require a high level of responsibility. We tell in more detail why this happened and why artificial intelligence cannot replace copywriters in SEO.
Everything is not so clear
In 2020-2022, Google could not decide for a long time what to do with automatically generated texts. Some of its representatives spoke about an unequivocal ban on such materials, while others office 365 database informed users that the main thing is quality, not authorship. In the end, the latter won. Google now takes a position of tolerance towards artificial intelligence.
But the disputes did not stop. Many top Google engineers, including the famous John Mueller, believe that artificial intelligence has no place in modern Internet marketing. They point to the low quality of the generated content and the potential danger of factual errors.
Therefore, we can confidently say that AI texts work great in SEO today, but only if you are not too lazy to re-read, check and edit them. But even the management of Google does not know what will happen tomorrow. It is likely that some scandalous case will force a technology company to impose restrictions on the use of AI. Therefore, the use of generative models remains a risky step.
Not by formula
If you are at least superficially familiar with SEO, then you should know about the EEAT ranking principle. According to him, texts should be expert, authoritative, reliable and reflect personal experience. Indecipherable use of artificial intelligence means complete disregard of this formula:
if the text is written by a neural network, there is definitely no personal experience of the author in it;
it is also not about expertise — AI simply summarizes the information it knows and forms an average statistical response to a request;
authority is also in question - artificial intelligence will not search for proofs and add links to sources;
there are also risks regarding reliability — generative models often ignore scientific consensus, make mistakes, or even invent certain facts.
Of course, artificial intelligence can produce quality text. Only for this you need to write the right query for him, check and correct the finished material, find interesting statistics and add links to sources. But then what will be the role of machine intelligence in such a task? Even the time savings will be insignificant. AI will only help to automate the simplest routine processes.
Everything is not so clear
In 2020-2022, Google could not decide for a long time what to do with automatically generated texts. Some of its representatives spoke about an unequivocal ban on such materials, while others office 365 database informed users that the main thing is quality, not authorship. In the end, the latter won. Google now takes a position of tolerance towards artificial intelligence.
But the disputes did not stop. Many top Google engineers, including the famous John Mueller, believe that artificial intelligence has no place in modern Internet marketing. They point to the low quality of the generated content and the potential danger of factual errors.
Therefore, we can confidently say that AI texts work great in SEO today, but only if you are not too lazy to re-read, check and edit them. But even the management of Google does not know what will happen tomorrow. It is likely that some scandalous case will force a technology company to impose restrictions on the use of AI. Therefore, the use of generative models remains a risky step.
Not by formula
If you are at least superficially familiar with SEO, then you should know about the EEAT ranking principle. According to him, texts should be expert, authoritative, reliable and reflect personal experience. Indecipherable use of artificial intelligence means complete disregard of this formula:
if the text is written by a neural network, there is definitely no personal experience of the author in it;
it is also not about expertise — AI simply summarizes the information it knows and forms an average statistical response to a request;
authority is also in question - artificial intelligence will not search for proofs and add links to sources;
there are also risks regarding reliability — generative models often ignore scientific consensus, make mistakes, or even invent certain facts.
Of course, artificial intelligence can produce quality text. Only for this you need to write the right query for him, check and correct the finished material, find interesting statistics and add links to sources. But then what will be the role of machine intelligence in such a task? Even the time savings will be insignificant. AI will only help to automate the simplest routine processes.