Post by amirmukaddas on Mar 11, 2024 6:32:14 GMT
They do not so much concern the now consolidated practices, but the scenario in which Google moves and makes decisions on the contents to be rewarded. Let's take a look at the state of the art. Average quality and theme The angles on which SEO impacts are always the same: scanning , architecture , content and strategy . If up to now you have done this job by focusing on these things and without neglecting performance at a system level, you won't have to change anything about how you work. Rather, following the "earthquake" called medical update that occurred in August 2018 and all the subsequent (never completed) adjustments, it seems that Google is paying more attention than before to the type of content with respect to the type of website hosting it and the relationship between number of contents and topics covered within individual websites. Some (good) questions To do good SEO in 2020 you need to understand well which topics to deal with on the site you manage, how to deal with them and how much to deal with them.
In particular, how many articles on hallux valgus will it be appropriate to publish on a general medical website? How many on that of a podiatrist? How many on those of an orthopedist? Which topics should be developed more carefully on a case-by-case basis considering the different search intentions per type of site? By now we have understood that we can no longer deal with topics that are too varied just because "they have anything Denmark Telegram Number Data to do with it", but we must be very vertical based on what users expect to find on that particular site. If you think about it, it's a good step forward all things considered, since there was no longer any way to find a fitness site that didn't publish cooking recipes, articles on personal growth, psychological issues and erectile dysfunction. Algorithmic updates Between September, October and November 2019, Google progressively launched an important core algorithm update called BERT , an acronym for Bidirectional Encoder Representations from Transformers .
Now, trying to explain what to change in SEO to position yourself better by virtue of the new learning dynamics conveyed by BERT's artificial intelligence is a gigantic super-bullshit! We simply have a search engine that is even better and faster than before at making decisions about what is worth showing to users and what is not. Develop your articles based on the idea that they should be served as answers to a voice query, then simplify everything. Answer immediately, be didactic, then maybe argue. I'll write something about structured data like Speakable later , but at least for now I wouldn't rely on it too much, if only because it doesn't work in Italy, but if you check American news websites, they all implement it. Danny Sullivan said the scheme will also work with content outside of Google News. Implementing it therefore means anticipating the times.
In particular, how many articles on hallux valgus will it be appropriate to publish on a general medical website? How many on that of a podiatrist? How many on those of an orthopedist? Which topics should be developed more carefully on a case-by-case basis considering the different search intentions per type of site? By now we have understood that we can no longer deal with topics that are too varied just because "they have anything Denmark Telegram Number Data to do with it", but we must be very vertical based on what users expect to find on that particular site. If you think about it, it's a good step forward all things considered, since there was no longer any way to find a fitness site that didn't publish cooking recipes, articles on personal growth, psychological issues and erectile dysfunction. Algorithmic updates Between September, October and November 2019, Google progressively launched an important core algorithm update called BERT , an acronym for Bidirectional Encoder Representations from Transformers .
Now, trying to explain what to change in SEO to position yourself better by virtue of the new learning dynamics conveyed by BERT's artificial intelligence is a gigantic super-bullshit! We simply have a search engine that is even better and faster than before at making decisions about what is worth showing to users and what is not. Develop your articles based on the idea that they should be served as answers to a voice query, then simplify everything. Answer immediately, be didactic, then maybe argue. I'll write something about structured data like Speakable later , but at least for now I wouldn't rely on it too much, if only because it doesn't work in Italy, but if you check American news websites, they all implement it. Danny Sullivan said the scheme will also work with content outside of Google News. Implementing it therefore means anticipating the times.