Here are a few notable Most Important Google Algorithm Updates
1.Google Panda :
First launched in 2011, Panda focuses on the quality of content and penalizes websites with low-quality, thin, or duplicate content. It aims to promote websites with original, valuable content.
2. Google Penguin :
Introduced in 2012, Penguin targets websites that engage in manipulative link-building practices, such as buying links or participating in link schemes. It aims to ensure that websites have high-quality and natural back links.
3. Google Hummingbird :
Rolled out in 2013, Hummingbird aimed to understand user intent and context behind search queries better. It emphasized semantic search and aimed to provide more relevant search results.
4. Google Mobile-Friendly Update (Mobilegeddon) :
Launched in 2015, this update focused on giving mobile-friendly websites a ranking boost in mobile search results. It encouraged website owners to prioritize mobile optimization.
5. Google RankBrain :
Introduced in 2015, RankBrain is a machine-learning AI algorithm that helps Google better understand the meaning behind search queries and provide more relevant results.
6.Google Medic Update :
In August 2018, Google released a broad core algorithm update that particularly impacted websites in the health and medical space. It aimed to ensure that authoritative and trustworthy sources rank higher for health-related queries.
7 . Google BERT :
Rolled out in late 2019, BERT (Bidirectional Encoder Representations from Transformers) focuses on understanding the context of words in a search query, leading to more accurate and relevant search results.
8 . Google Core Updates :
Google regularly releases broad core algorithm updates that can impact search rankings across various industries and niches. These updates aim to improve the overall quality and relevance of search results.
The Page Experience update, which will be rolled out gradually until 2021, introduces a new ranking signal that includes “metrics that measure real-world user experience for loading performance, interactivity, and visual stability.”
As a rating indicator, it is not wholly novel. Existing page experience signals will be merged with Core Web Vitals, a real-time measurement of critical user experience parameters, in this upgrade. In summary, the Page Experience change indicates that Google will adopt a more holistic approach to on-page user experience.
According to Google, these new Page Experience characteristics are still less significant than “having great, relevant content.” Google has launched dedicated tools in Search Console to help you monitor your Core Web Vitals and Page Experience and make meaningful adjustments.
9 . MUM (Multitask United Model) :
Google announced the MUM update at I/O 2021, bringing significant improvements to search.
MUM stands for ‘Multitask United Model,’ a name that alluded to the capability of this new algorithm: it can perform numerous jobs at the same time. It can read, understand, and learn in over 75 languages from various sources, including video and audio!
MUM will aggregate information from multiple sources to provide multi-layered solutions to difficult search queries. It has already been used in COVID-19 vaccination searches, but that is only the beginning. Google’s MUM AI will be gradually introduced over the next few months and years, so don’t anticipate major changes to occur suddenly.
10 . Useful Information
The helpful content update raised the emphasis on the quality of material appearing in search results. It ultimately comes down to rewarding’people-first’ content — information that truly answers users’ questions and offers a fulfilling experience.
11. Possum Update :
Objective: Provide more accurate, varied results based on the searcher’s location and the company address.
The early impact on search results has been minor, but Google has stated that this is not a one-time occurrence. The useful content upgrade is part of an ongoing attempt to clean up the SERPs by removing low-quality results to make room for more varied voices. This upgrade has a significant impact on sites with a high volume of low-quality content, which may perform worse in search as a result.