In today’s era of rapid digitization, the relationship between artificial intelligence content and search engine optimization (SEO) has attracted much attention. Today we will talk about this topic in depth and explore the mysteries together.
As we all know, the purpose of SEO is to improve a website's ranking on search engine results pages, thereby increasing the website's visibility and attracting more organic traffic. When I was making some small AI products, I also needed SEO skills, so I made an appointment to chat with some famous SEO practitioners to update my knowledge in this area.
I've heard of a case where a friend used AI to generate SEO articles and got a lot of traffic from Google, but I'm not sure if this can be sustained for a long time. So, I spent a month trying almost all AI article generation products on the market, but the results were mediocre. After that, we summarized a set of ideas for writing SEO articles, and based on this, we wrote an article and published it on the product official website. Website traffic actually doubled. Therefore, we are also developing a small product to help write SEO articles. If you are interested, you can leave a comment or send me a private message to join the waiting list.
I dug into Google's developer documentation and found that Google actually made statements about AI content very early on, and didn't care much about how the content was generated. In Google's view, there is no problem in using automatically generated content, such as sports scores and weather forecasts, as long as the content is useful from the reader's perspective. However, Google objects to low-quality AI content designed to improve search rankings.
Looking back on the past, in the early days, people would insert one-pixel images into web pages and store many keywords in domain names in an attempt to improve rankings. It was relatively easy to make money at that time. But as Google’s technology gets more powerful, and as it gets more and more data, it becomes “smarter,” and those smart methods won’t work.
We established the rules ten years ago. At that time, Google did not pay much attention to external links. It will take a more comprehensive look at a brand’s exposure across the web. For example, if a brand can be mentioned repeatedly, even non-external links can be useful. Moreover, Google also has an important criterion to see whether the website is the "last stop" to meet user needs. If the user leaves the website and then goes to Google for the next search, it means that the website does not solve the user's needs; conversely, if the user stops searching after searching the website, it means that the website solves the user's needs. At that time, we used this as a standard to optimize the website.
SEO itself is opaque, and Google doesn't make its rules public. But we can think about it another way. If we were product managers at Google, we would want to help users find the answers they need quickly and directly. This is actually the ever-changing core rule of SEO.
In short, the impact of AI content on SEO cannot be generalized. The key is to follow SEO principles, start from user needs, and create high-quality content, so that you can gain a firm foothold on the "stage" of search engines. If you have any opinions or experiences on this, please share it in the comment area. Hope this article can be helpful to you!
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