Google on Artificial Intelligence (AI). The Future of Content for Website Promotion
Posted: Sat Dec 07, 2024 9:40 am
This article is based on the main article from Google about “ Google Search Recommendations for Content Created by Artificial Intelligence ”, as well as other materials from the main search engine and my own many years of experience in promoting websites on the Internet.
Main theses of the article:
Rewarding high-quality content, regardless of its production
Using automation for manipulation purposes is a violation
Using AI doesn't give content any special advantages
A large component of EEAT is currently being stored
Providing the author's name to AI is probably not the best way to follow search recommendations
Google Search aims primarily to reward original and high-quality content that meets EEAT metrics:
Expertise;
Experience;
Authority;
Reliability.
More details about the search are available here on the search pakistan phone number resource engine's website . But it should be noted that the search engine currently has nothing against content generated by artificial intelligence. The main thing is to meet EEAT metrics. They write about this openly:
“Our focus is on the quality of content, not how it is created” - Google
It should be noted that focusing on rewarding quality content has always been Google’s foundation. It is important to understand that searchers should receive content created primarily for people, not for ranking in search engine results. When it comes to automatically generated content, Google’s guidelines have been consistent over the years:
“Using automation, including AI, to create content with the primary purpose of manipulating search rankings is a violation of our spam policy” - Google
At the heart of the fight is the SpamBrain system. It is important to understand that not all use of automation, including the creation of AI, is spam. Automation has long been used to create useful content, such as sports scores and weather forecasts. AI has the ability to develop new levels of expression and creativity, and also serve as an important tool that helps people create great content.
Main theses of the article:
Rewarding high-quality content, regardless of its production
Using automation for manipulation purposes is a violation
Using AI doesn't give content any special advantages
A large component of EEAT is currently being stored
Providing the author's name to AI is probably not the best way to follow search recommendations
Google Search aims primarily to reward original and high-quality content that meets EEAT metrics:
Expertise;
Experience;
Authority;
Reliability.
More details about the search are available here on the search pakistan phone number resource engine's website . But it should be noted that the search engine currently has nothing against content generated by artificial intelligence. The main thing is to meet EEAT metrics. They write about this openly:
“Our focus is on the quality of content, not how it is created” - Google
It should be noted that focusing on rewarding quality content has always been Google’s foundation. It is important to understand that searchers should receive content created primarily for people, not for ranking in search engine results. When it comes to automatically generated content, Google’s guidelines have been consistent over the years:
“Using automation, including AI, to create content with the primary purpose of manipulating search rankings is a violation of our spam policy” - Google
At the heart of the fight is the SpamBrain system. It is important to understand that not all use of automation, including the creation of AI, is spam. Automation has long been used to create useful content, such as sports scores and weather forecasts. AI has the ability to develop new levels of expression and creativity, and also serve as an important tool that helps people create great content.