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Google said that sites with texts created using neural networks can now have low positions in search results. But what actually happens to such sites?
Recent Google algorithm updates have resulted in the removal of many sites using neural network-generated content. This has generated a lot of discussion among website owners and SEO experts. However, it’s worth figuring out whether neural networks are really that dangerous for your website?
Using neural networks can negatively impact SEO if not done carefully. For example, automated texts generated without taking into account keywords, with excessive academic language and without quality structure can reduce the site’s ranking in search engines. However, the correct use of neural networks can, on the contrary, help improve positions and attract traffic.
We actively use neural networks in our work. For example, one of the clients selling products required a large number of texts for an online store. After analyzing the cost of copywriting services, it was decided to use neural networks to generate content. As a result, the texts were posted on the site, indexed by search engines and contributed to improving positions in search results.
The recent wave of blocking of sites using neural networks occurred mainly due to the mass posting of low-quality, automatically generated content that was used for quick monetization. Such content often did not meet the expectations of users and search engines, which reduced the quality of search results. However, this does not mean that the use of neural networks is impossible. The main thing is to do it wisely and monitor the quality of the content.
Human touch: To make the text look natural, add small errors or minor changes in structure to make it look like it was written by a human. This will help prevent the content from being recognized as auto-generated.
Specific queries: When creating queries for neural networks, it is important to use detailed characteristics and keywords. For example, instead of a broad request “buy a lamp,” you can set a more precise command: “buy a 40 W LED lamp in Moscow at a discount.”
Optimization for SEO: Be sure to indicate to the neural network that the text should be optimized for SEO. This will help introduce the necessary keywords, improving the visibility of the content in search results.
Content update: Regularly update texts, monitor the relevance of information and updates to search engine algorithms so that your site does not lose high positions.
One of our clients recently updated their website using neural networks to generate content. As a result of updating the texts and improving the mobile version of the site, its position in search results has improved significantly.
Poor quality generated texts that do not take into account keywords or trending topics can harm your site. This is especially true for texts written in too formal or academic language, without proper structure. To avoid this, you need to be careful when creating your content, ensuring it meets search engine requirements.
Using neural networks in SEO can be a powerful tool if you approach it wisely. It is important to follow the recommendations of search engines and use neural networks to create high-quality content that will be useful to users.
If you have any questions about SEO, do not hesitate to contact the SEO studio "SEO COMPUTER". Write to us by email info@seo.computer for advice on any questions.
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