First, check which pages are affected and whether the entire site is affected

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Of course, we also check to see if there are any issues with EAT (expertise, authoritativeness, trustworthiness), or if the authority of the site as a whole is being questioned. We also perform a detailed comparison of the affected pages with those of competing sites to confirm whether the amount of information, number of citations, page structure, etc. are sufficient to answer the search query. Then use “Site:” to examine how your site performs in organic search results. If a lot of content is indexed that is thin, duplicated, or of low quality, significant improvements can be expected by merging or deleting this content. You should also check the reputation of the content creator and the website itself (which Google also recommends).

There may also be external factors affecting a website's trust that need to be addressed. How much should we refer to Google's quality evaluation guidelines ? Our SEO team has a copy of the 2018 Quality Assessment Guidelines on our shelves. This allows for immediate viewing when analyzing websites affected by algorithm changes India Phone Number or when reconfirming the "high quality" of content as defined by Google. Of course, we fully understand that much of what is written in these guidelines is not the current ranking factor. We recognize that these are long-term marketing strategies that Google aims to eventually incorporate into its search algorithms. Additionally, algorithms have improved significantly in recent months to analyze the quality of websites in the same way that humans do, and we are well able to see these traces.




Additionally, as is clear to many SEO professionals, current guidelines indicate that the SEO methods of the past are no longer relevant. This means that keyword stuffing, automatic generation, and mass production of low-quality blog posts for the sole purpose of creating new content are no longer reliable ways to generate good results in the future. How much impact are artificial intelligence and machine learning having on ranking algorithms? I believe that the algorithm updates of the past few months are due to Google's rapid advances in machine learning.