Some time ago, the best data monitoring experience, as well as the knowledge of the automatic monitoring system of the internal chain, were shared. The focus is on the output of the logic, and the script to be used in the actual operation process is also given**, so the follow-up is to implement it well, and it is not very difficult.
In fact, I don't know what to write about today's article, because I've been busy all day with keyword data research and the construction of a small language material library. If you write directly on these topics, a thousand words will not be enough. But I want to write a little specific detail, but I can't find a good entry point.
So today's article will talk a few words, my thoughts on keyword research and layout, and a little thing that our team will do in the future.
In yesterday's sharing, I briefly talked about the checklist. According to my own understanding, the operation of SEO (or rising to the first promotion) can be sorted out according to the different details of the work, a detailed checklist for each different link, and a perfect operation process can be sorted out according to the checklist.
For the links that require practical experience to join, we can manually grasp the quality of the content. For those parts that are repetitive and do not require subjective experience, it is completely possible to leave it to the program to be automated.
And the layout of keywords is so interesting.
Different from keyword research, keyword layout is a relatively less experience-dependent thing in my experience. Because according to the standards of on-page SEO, there are only a few standards that are sorted out one by one. For example, the title of the article should contain the main keyword, and the URL link of the article should contain the main keyword.
Then, on the basis of keywords, establish a keyword cluster, and then lay out these keywords into the content according to certain rules. For example, what kind of keywords should be buried in the secondary title and ** title, what type of keywords should be buried in the development of the article, and so on.
What we have to do is to sort out these norms to form our own standards, and then practice according to the norms.
If we are familiar with this step, we can even make a corresponding template for the keyword layout in the entire article. When new content comes in, what we need to do is to select the corresponding template based on the tone of the article, and then combine AI tools with our own material library to fill in the content of the article.
In fact, our content partners have been doing the above work one after another. But what can be done in the future, let's share it when the time comes.
One of our initial ideas is to sort out the general framework of an article based on keyword research and the content of the material library. In fact, after this work is completed, an article is basically 80% complete, and all that remains to do is to collect materials and fill in the content.
Of course, the part of searching for material filling content can sort out the corresponding process (this part of the content was mentioned in the previous sharing related to the construction of the material library).
So in the final analysis, it is not difficult to create content such as layout, or even create this part of the content, it only involves operations at the execution level.
The above thoughts on the layout and the process of the module are rather chaotic.