Keep in mind Georgia WhatsApp Number List when you decide to list your listings on Amazon, the SEO optimization of your listings will be different than on Google. On Amazon, reviews, prices, photos, videos, etc… reign supreme, as well as the inclusion of keywords in your content. The SEO Amazon is specific to the A9 algorithm platform.Of course, other general search engines like Bing , DuckDuckGo, Qwant, Yahoo or Yandex (especially in Russia) are used to carry out research on the web. It’s up to you to test which one will provide you with the most adequate information for your expectations.
Okay, now that we’ve reviewed the basics, let’s see what trends SEO will turn to in 2022.SEO is a constantly evolving field and those who are lagging behind are often left behind.Let’s take a look at the top SEO trends that will have the most impact in 2022 and the years to come .We’ll also focus on the most common pitfalls businesses encounter when optimizing their search engine visibility. Most of you are already familiar with the basics of SEO, which is why we would like to dig deeper than the endlessly discussed things like domain authority, backlink profiles, or optimizing your content.With the launch of BERT (Bidirectional Encoder Representations from Transformers) in 2019, Google’s algorithm has become increasingly capable of understanding the relationship between words and the intent behind a search query.
Algorithms: goodbye BERT, hello MUM
BERT arrived as a new approach that made Google better satisfy users of voice assistants. People were no longer typing search queries, they were talking about them. The way people communicate is much more conversational and fluid. Google therefore had to adapt its algorithm accordingly, with the help of NLP and AI technologies. But the BERT algorithm was just the start. At the Google I / O 2021 conference, the company announced a new interpretation and service model for its users, called the Multitask United Model, or MUM.According to Prabhakar Raghavan, Head of Search at Google:“
Google’s new natural language processing model is 1,000 times more powerful than BERT and can multitask to understand information in new ways. “MUM can analyze videos, images and texts in 75 languages that answer complex search queries:Simply put, MUM is an AI model capable of understanding user feelings, context, abstractions, and intent, from which it provides relevant and unique responses to the user’s query. With the help of MUM, users won’t need to make multiple queries until they find the right keyword that will give them the answer they want.Instead, Google will provide them with the results they want in a single conversational query.MUM’s multimodal system means users can combine text, images, and voice to receive results relevant to their queries. As Pandu Nayak, vice president of Google in charge of Search, explains.
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“Eventually, you might be able to take a picture of your hiking boots and ask, ‘Can I use them to climb Mount Fuji? “. MUM would understand the picture and relate it to your question to tell you your shoes are a perfect fit. It could then direct you to a blog with a list of recommended equipment. “To get a better idea of how MUM works, take a look at the first four minutes of Prabhakar Raghavan’s presentation.
Finally, below is a real-life example of the daily use that MUM allows you. By scanning with Google Lens your derailed bicycle wheel, if you type “how to fix this?” », The algorithm will combine the image analysis and your textual query to get you items to buy and tutorials.In the same vein as BERT, we can imagine that MUM will place an even stronger emphasis on Authority Signals (EAT) and a response-centric approach to content.I’m sure you’ve heard a lot about voice search and the importance of optimization for user questions. In this sense, Google has only started modifying its algorithm to meet the latest voice technologiesAt the Google I / O conference, Google also unveiled LaMDA (Language Model for Dialogue Applications).