The realities of AI content today in website promotion
AI helps automate the content creation process, reducing the workload on content managers and copywriters. Some SEOs say that AI has completely or partially replaced rewriting. But is that really the case? Will the need for rewriters disappear? AI can be used to create drafts, generate content ideas, and check grammar and spelling. This allows teams to create more content in a short time.
The principle of AI-text generation resembles T9 technology. After generating a prompt, the system tries to guess which word or phrase can follow one after another. But unlike ready-made words in the T9 system from the database, AI-generation can have variations depending on the sequence of prompts - this greatly distinguishes any AI. The principle of translation in AI also works in about the same way.
" T9 is a predictive text input system for mobile phones. The name T9 comes from the English. Text on 9 keys, that is, text input on 9 buttons. T9 was developed by Tegic Communications and is used in mobile phones from most major manufacturers. Now T9 is the most popular predictive text input system [ 1 ] ."
It turns out that AI content is like T9 on anabolic steroids and maximals. You can generate quite a lot and without stopping. The use of such content leads to an increase in pages on various websites without any quality control. What if the content is generated in the "Your Money Your Life" (YMYL) theme?
In principle, there are already cases where sites completely generated on AI become top, they collect traffic even search traffic, but for some reason after a certain time their good ranking stops. Although the sites are in the index, they do not bring traffic. This applies to sites on new domains and on drops. Perhaps there are certain nuances with AI-content. Too little time has passed, less than a year, when sites completely on AI-content began to appear en masse. Also, only 1 full Google Core Update has passed in March 2023, perhaps other Core Updates or Review Updates will show more information for analysis.
" Anabolic steroids are substances that mimic the effects of the male sex hormone testosterone and also help build muscle tissue [ 2 ] ."
Unfortunately, many specialists abuse the generation capabilities, and the content placed on websites is completely machine-generated without checks and consideration of EEAT and YMYL. In our opinion, such content does not add value to sites, sometimes such content is not even proofread by editors. Abuse of the generation capabilities may lead to unexpected consequences in the future. So, already in the summer of 2023, Google announced that it would fight against reviews created based on AI. Will there be such a fight with other AI content in the future? The question is still open.
Content personalization
AI allows companies to personalize content for each user or group of users. Using data collected about site visitors, AI can determine which content will be most relevant to each user, providing a better user experience and increasing the chances of conversion. For example, AI can provide content specifically targeted to a certain language or for a certain age. But personalization is one thing, and mass generation of content to promote sites and index an excess number of pages is another.
SEO improvement - uniqueness, indexing
Artificial intelligence can be used to automatically oman phone number library create meta tags, descriptions, and titles, which can improve the site's visibility in search results. But the uniqueness of such is questionable, as is the generation of articles. We noticed that the content is created monotonously, and sometimes with the help of ChatGPT and others it is impossible to create sufficiently unique content - the answer is relevant, but not unique. Indexing non-unique content is a difficult and thankless task in SEO. Even prompt services and your own ideas do not help. This problem occurs especially often in narrow topics or when you need to create quite a lot of content on the same topic.
Due to the fact that there are issues with uniqueness and indexation, in the future there may be issues with sites with such content. As a result, the site may receive certain sanctions. Very often the answer is the same or very similar to the previous one. Changing the prompts, updating and improving it does not help. In such cases, monotonous content can be placed on several sites. People hope that they have generated something and it is unique and relevant, but in reality this is not the case. There are already many such cases, and here there are problems with uniqueness, indexation, various penalties, etc.
Despite the various risks, AI content is quite actively used by SEO specialists. First of all, for the automatic generation of texts for landing pages for LF queries, but not only for this. Let's figure out why and how AI content is most often used in website promotion.
Landing page generation is a banal replacement of copywriters, a reduction in the cost of working with texts and content. What can be said here? The generation is monotonous, that is, the structure of the texts is not uniform, there are patterns that can later be detected by search engines, and currently the detectors will be found to be correct in a fairly large percentage. Almost all texts need refinement: at least adding keywords, and at most reworking the structure, compiling several drafts, proofreading, editing, correcting errors, etc.
Title generation and meta - here AI does its job better, but it should be noted that <title> is the most important tag for internal optimization, it is it that is displayed in the snippet, such OnPage SEO will directly affect the CTR and relevance of the document to certain keywords. Do you want to entrust this to AI? Maybe for LF or technical pages - yes, but for HF and MF it will definitely be more appropriate to review and correct, so it may be better to use masks for generation, not AI.
Articles for link building are currently the most successful option for using AI content. You can generate a fairly large number of articles with keys, for certain anchors, etc. Everyone knows that links from articles are working quite well. And while the most commonly used methods until now were copywriting, rewriting, spins and compilations, AI articles have completely eradicated them. It is known that at one time spins were used for registration in directories, profiles, web 2.0, GSA for all sorts of runs, but then Google began to fight such links. Will the search engine face the question of generated articles with links in the future? It is difficult to predict at the moment.
Forecasts, prospects and content trends
AI will be able to generate even better content, but will this content be well indexed by Google's search engine? It seems that AI-content is not a panacea. It must at least be unique, checked for content errors, etc. EEAT parameters will also be a problem when promoting in YMYL niches. Who should subscribe to the generated content? Whose responsibility should this be? Should the author, the site, the content generator, its owners, Google, which provided a link to this page in the search results, be responsible here?
