Only 2 of the 10 most popular sites on the global web are content
sites–> Would the function of the site matter more than the content?
Thanks to the techniques of the Cloud Vision API, the detection of OBJECTS is effective in the images
–>Did you know that this is a parameter in the positioning
Google has search evaluators to determine the quality of results
–> here is the complete guide in pdf to download and how to use it from a web referencing perspective
Only 2 of the 10 most popular sites on the web are content sites,
To fully understand this statement, just take a look at the ranking of the 10 most popular sites according to Ebizma. It seems that the most popular sites in March 2017 were:
- Google
- YouTube
- Yahoo
- Amazon
- Wikipedia
- Bing
- eBay
- and MSN
Nothing surprising (except that this ranking obviously excludes the Chinese web (Baidu, Tencent QQ, Taobao among others).
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 purposes.
This leads to an important question:
Is the function more important than the content?
Eight of these sites offer their target users something to do , not something to consume.
As 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.
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.
We can then ask:
Is content still king?
Quality content is extremely important because it offers an incredible way to grow.
It must be emphasized that the interaction seems to work wonders. If we try to understand why these sites are popular, we will notice that to a certain extent, content marketing is also part of their strategy.
But what the evidence proves is that the most notable sites put communities, tools, and interactive platforms ahead of content.
Moreover, the two content sites that are at the peak of popularity, YouTube and Wikipedia, still use interactive or participatory platforms.
The detection of objects in the images is a parameter in the positioning.
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 is now a ranking signal that can affect the SERP.
Cognitives SEO published an article on how Google will, in the near future, read and rank images.
It is true that there have been many studies with complex equations and algorithms on image recognition since the 90s.
We can even say that researchers have been attracted to the subject since search engines have existed.
What users need to pay attention to beyond image optimization is their content, what makes them up.
Automatic object detection in Google images.
Since Google made the Cloud Vision API public, there has been a lot of delusion about the future of this technology.
There is no longer any doubt that the Cloud Vision API can be used to analyze the components of an image, which allows:
- Quickly classify images among thousands of categories (e.g., “sailboat”, “lion”, “Eiffel Tower”),
- detect individual objects,
- Recognize faces in images,
- to find and then read the words printed in these images and finally,
- to combine it all to affirm that “all this constitutes “garden furniture”, “a football match” or “the banks of the St Lawrence in Montreal”
All of this is used to create metadata in an image catalog, moderate offensive content, value the images that best illustrate the point and allow the engines to classify them accordingly.
Object detection in images adds an extra layer of signal classification that cannot be easily changed. However, what is really important for the SEO industry is object recognition for two main reasons:
- This will help Google show a reduced number of false positives when searching for a particular keyword;
- This will boost the relevance and ranking of a page
Read: this article by research.googleblog.com
Google has search evaluators to determine the quality of results
You may know that Google now uses many algorithms to rank sites. You might be surprised to find out that to evaluate the quality of search results, Google has hired staff who perform about 40,000 accuracy reviews.
These reviewers are responsible for establishing the quality of results for various research projects. The guidelines they use to evaluate the results are detailed in a fairly dense document that can be found here and can be downloaded here.
While the document seems to be aimed more at those who want to become reviewers, a look through the guidelines can guide developers and marketers alike, because they help you understand how quality is perceived by Google.
Google uses reviewers from different countries and languages. This means that they are trying to understand content written in multiple languages.
Subsequently, one would think that the engine would be able to apply penalties to content even in the less common languages.
At the moment, according to Google estimates, the Penguin algorithm records about 3.1% of search queries in English, about 3% of queries in languages such as German, Chinese or Arabic.
These trained experts may be able to identify spam in other languages with consequences for the overall ranking.