These sites were referred to as YMYL
Penguin Google Penguin is an algorithm update that was released in 2012. The update helped lessen the search presence of websites that use unethical link building techniques and keyword stuffing, while rewarding websites with high quality content. Hummingbird The Hummingbird update is a search algorithm that was released in 2013. This update improved how Google reads search inquiries by using the algorithm to understand each word of the search term. This helped Google understand user intent better as well, making long-form searches much more effective, and ensuring that the whole search term is taken into account.RankBrain RankBrain is a machine learning algorithm rolled out in 2015 that made ranking a lot more competitive than before. See, RankBrain is AI—and it was built off Hummingbird’s ability to recognize “things” instead of “strings” (which is also why pages can rank CY Lists for multiple keywords instead of just one). Context now plays a role in Search as well, which means that SEO practitioners need to optimize as close to user intent as they can. All in all, RankBrain ensured that only the most meaningful and relevant results would be served to the users, so the goal now is to become an industry leader and not just someone who writes blogs to bring in traffic.
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Because of RankBrain, we’re more focused on comprehensive, relevant, evergreen content that will answer our target audience’s questions. Medic The Medic update penalized Your Money or Your Life (YMYL) websites, especially those with little to no Expertise, Authority, or Trust (E-A-T) signals.as they contained potentially life-altering content, such as health and medical websites. The websites that were hit the worst were websites giving unsubstantiated medical claims or advice, and retail sites that had no medical studies to back their claims. BERT With the BERT model, Google became able to understand words in the search query in relation to each other, instead of interpreting them independently of one another like before.
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