If you have an online business, and especially if you own an online store, you know how important it is to keep up with the latest information in the industry. If you don’t, you can lose your entire business to Google MUM Update. So what is Google MUM Update? How does it affect your site? What are some steps you can take to get back on track? This article explains everything you need to know about Google MUM Update (MUM) and how it affects your site if your site has been affected by this update!
If you are a website owner, then you might be aware of Google search engine algorithm updates. But there is one update which is not as popular as Panda or Penguin but it can still cause a significant impact on your website traffic. Yes, we are talking about the Google MUM (mobile usability) update. The new update was first reported by some high-ranking websites like CNN and other sites in January 2017. If you too haven’t heard about Google MUM yet, read on to learn what exactly do these words mean for website owners like you! What is Google MUM Update: In simple terms, Google Mobile Usability or simply MUM update can be called an initiative where Google measures mobile websites page load time on mobile devices.
Google released a different quality update today. The latest quality update, called Bert or BigEntityRewriteTest, has been in testing since March 2019. Some see Bert as an evolution of Google’s earlier MUM update, aka Medic Update. However, there are differences between these two updates that you should be aware of
Google introduced two new ranking factors recently – BERT & MUM (Mobile-first index). While both are mobile-first, not many can really say that they are aware of what exactly these updates mean. Both of them have made a lot of website owners pretty worried for their sites as well. Google also announced that there will be more new updates to come in the future, so we need to be extra careful with our SEO strategies. Let us take a look at what BERT & MUM update really means: What is BERT update? BERT or Bidirectional Encoding Representations from Transformers was launched back in July 2018 by Google. It is not much different from other machine learning algorithms where computer program learns about language from large quantities of data.
In an effort to better understand search queries, Google has started using machine learning techniques like artificial neural networks. Today they announced that they’re making more improvements in their ability to understand search queries with complex syntax by creating a new update called MUM (meaning machine learning update). This update will allow Google to better parse sentence-like queries by more accurately identifying parts of speech. This means that questions will be easier for Google to answer — and naturally, you might think that could lead to less need for other types of question answering services like Siri or Cortana. However, these are still very early days so it will be interesting to see if we see a shift away from conversational interfaces now that tech giants are embracing them fully.
How Google Handles Search Queries Using MUM Algorithm?
Google announced a new change back in January. This time, they are looking to be more flexible when handling more complex search queries. However, not all users will see any difference from it. If you aren’t sure what I’m talking about yet, let me give you some background information on MUM first before we dive into details. First of all, MUM stands for minimum viable matches which Google has said will refer to a set of results that can be guaranteed by their ranking system if there were no other concerns at play when ranking results.
What are the main reasons of Google MUM Update?
Google generally releases 2 updates per year. The aim of these updates are to identify web pages that are violating Google’s guidelines and may harm a visitor’s experience with your website. The most common reasons for triggering an update involve low-quality content on websites, sites that engage in manipulative link-building practices, sites that use outdated software or have security issues, or pages without updated contact information like phone numbers or addresses.
We want to make sure Google users find high-quality, relevant information when they search so we strive to keep our algorithms as accurate as possible. We use several signals including spam reports from our users and algorithmic changes to surface high-quality search results rather than spammy ones. If you need SEO services in Delhi, India feel free to contact us.