{"id":8757,"date":"2018-01-26T10:00:10","date_gmt":"2018-01-26T15:00:10","guid":{"rendered":"https:\/\/referencement-pme.ca\/3-seo-evolutions-you-dont-know-about\/"},"modified":"2025-08-05T16:52:54","modified_gmt":"2025-08-05T20:52:54","slug":"3-seo-evolutions-you-dont-know-about","status":"publish","type":"post","link":"https:\/\/referencement-pme.ca\/en\/3-seo-evolutions-you-dont-know-about\/","title":{"rendered":"3 SEO evolutions you don’t know about."},"content":{"rendered":"

Only 2 of the 10 most popular sites on the global web are content
\n sites–> Would the function of the site matter more than the content?<\/strong><\/p>\n

Thanks to the techniques of the Cloud Vision API, the detection of OBJECTS is effective in the images<\/p>\n

–>Did you know that this is a parameter in the positioning<\/strong><\/p>\n

Google has search evaluators to determine the quality of results<\/p>\n

–> here is the complete guide in pdf to download and how to use it from a web referencing perspective<\/p>\n

Only 2 of the 10 most popular sites on the web are content sites,<\/strong><\/h2>\n

To fully understand this statement, just take a look at the ranking of the 10 most popular sites according to Ebizma<\/a>. It seems that the most popular sites in March 2017 were: <\/p>\n

    \n
  1. Google\"Wholesale<\/a><\/li>\n
  2. Facebook<\/li>\n
  3. YouTube<\/li>\n
  4. Yahoo<\/li>\n
  5. Amazon<\/li>\n
  6. Wikipedia<\/li>\n
  7. Twitter<\/li>\n
  8. Bing<\/li>\n
  9. eBay<\/li>\n
  10. and MSN<\/li>\n<\/ol>\n

    Nothing surprising (except that this ranking obviously excludes the Chinese web (Baidu, Tencent QQ, Taobao among others).<\/p>\n

    Yet, if you look closely, you notice that only Wikipedia and YouTube are truly content-driven websites. The others are “content portals” if you will, but they don’t offer content as we usually understand it for SEO<\/a> purposes. <\/p>\n

    This leads to an important question:<\/p>\n

    Is the function more important than the content?<\/h2>\n

    Eight of these sites offer their target users something to do<\/strong> , not something to consume.
    \nAs Carter Bowles of Northcutt argues, they don’t just offer passive reading of pages or videos, but they offer tools or places to do something. These sites are very popular because the action required on the part of the user is not limited to the consumption of content. <\/p>\n

    For example, Google is a tool that gives users the ability to quickly search the entire web for information or information, on any topic. It is therefore not popular because of its content or a highly attractive link, but because of the interaction it suggests<\/strong>. <\/p>\n

    We can then ask:<\/p>\n

    Is content still king?<\/h2>\n

    Quality content<\/strong> is extremely important because it offers an incredible way to grow.<\/p>\n

    It must be emphasized that the interaction seems to work wonders<\/strong>. If we try to understand why these sites are popular, we will notice that to a certain extent, content marketing<\/strong> is also part of their strategy. <\/p>\n

    But what the evidence proves is that the most notable sites put communities, tools, and interactive platforms ahead of content.<\/p>\n

    Moreover, the two content sites that are at the peak of popularity, YouTube and Wikipedia, still use interactive or participatory platforms.<\/p>\n

    The detection of objects in the images is a parameter in the positioning.<\/strong><\/h2>\n

    You may know that Google is now quite advanced to recognize certain objects contained in images, but, what you may not know is that object recognition<\/strong> is now a ranking signal that can affect the SERP.<\/p>\n

    Cognitives SEO published an article on how Google will, in the near future, read and rank images<\/a>.<\/p>\n

    It is true that there have been many studies with complex equations and algorithms on image recognition since the 90s.<\/p>\n

    We can even say that researchers have been attracted to the subject since search engines have existed.<\/p>\n

    What users need to pay attention to beyond image optimization is their content, what makes them up.<\/p>\n

    Automatic object detection in Google images.<\/h3>\n

    Since Google made the Cloud Vision API public, there has been a lot of delusion about the future of this technology.<\/p>\n

    There is no longer any doubt that the Cloud Vision API<\/a> can be used to analyze the components of an image, which allows:<\/p>\n