The first intelligent algorithm, Brandy, was launched in 2004. It took into account the semantic diversity of the material and was able to distinguish synonyms.
In the 2010s, Google's Panda algorithm divided the world of SEO texts into "Before" and "After", as the main function of the filter was to evaluate the quality of website content. It paid attention to various parameters, such as literacy and punctuation, level of uniqueness, nausea and water in the text, and adjusted the search results of websites. The quality of content grew along with the interest of users.
The ability to identify thematically similar search queries and serve them to users.
The introduction of uniqueness requirements, as it has become an important ranking factor.
Expansion of the search engine vocabulary, ability to chief vp operations email lists distinguish between singular and plural queries.
Reduce the number of long, unstructured examples of authors' work. Algorithms began to lower the search results for pages with voluminous texts, so writers began to pay more attention to structure.
Decline in websites with non-unique content. Interest in increasing uniqueness has grown and massive rewriting has begun.
The fight against texts that nobody reads. Search engines have learned to determine the engagement during a visit to a website.
Development of filters to reduce the number of texts with many keywords.
Penalties for using spam in texts, meta tags and domain names. To get through the filter, we had to create the most unique material possible.
The introduction of a system to analyze overall meaning instead of individual key phrases.
Launching an algorithm that reduces pages or the entire site in search results for spam or unnatural phrases.
The accelerated pace of development and implementation of neural networks has allowed search engines to better evaluate the content of a website and its environment by comparing information with user behaviour data. SEO copywriting has taken this into account and has continued to develop with an eye on new standards.