Around last spring, i was looking at the numbers of the back-officers, who were hardly moving, and suddenly realized that most of the work that our team spent on “content consumption” could be basically effective。
Regular daily meetings, content compilations, discussion of keywords, writing, layout, publication. The process is so tight, it's like a fine but old clock. Everyone thinks that we're trying so hard to produce so much, that the search engine should be a bit of a face. The result is that the new article is like a stone thrown into a huge, silent lake, and it just happens to be sprouted, and it goes down very quickly and very quickly. Low enrolment rates are alarming, let alone ranking and traffic. That feeling, like calling to a invisible wall, can't even hear the echo。
We know where the question comes from, and we don't give a full confession. Human resources are sometimes exhausted. Codification needs to be balanced in speed and quality. Keyword structures are like filling blanks, rigidity; homogeneity of content cannot be seen in itself; hot spots can be followed by breath and boob, which is long cool when published. Above all, all our “optimal” initiatives are based on experience and speculation. I think the word works. I think it's a good construction. I think it's the best thing in the industry。
We have tried to adjust our strategies to more intensively update, perhaps to allow codification to learn the more complex seo curriculum. The effect is minimal, but it causes further fatigue. That part of the job, the team atmosphere was a little down. People are beginning to wonder, what's the point of "filling holes" day after day. The web site operates as if it has fallen into a dead cycle that relies on human experience and strength, and is increasingly being invested, while the positive reaction cycle has been unenhanced。
The opportunities for transformation are a little occasional. It's not about finding tools. It's about being forced out. I want to figure out why we think it's a good article. The search engine really doesn't buy. I need something that will help me with my own analysis and a different perspective, not another “scatter” that will require me to serve from scratch. Then i used the ai-seo assistant. In the end, i didn't get too much hope, and i heard too much of the ideas on the market。
But the first shock i had was not how many articles it had written, but it provided a “comparison” capability. It's like, i've thrown into it an article that we think we're perfect, but we don't have any flowers. It reacts very quickly to something that makes me a little blush. It points out that our central keyword density is spread too deliberately, the intent of the user search and the “time” of our content processing are largely offline, and the cover of the subject is too narrow. These are essentially things that we have found it very difficult to quantify by feeling and experience. I began by making it a framework for the purpose and subject of several content-points, after we had identified the theme. This is not a reproduction, but rather a reference system, a “outside brain” that jumps out of our own thoughts. Our task of codification, from “wheeling from scratch”, has evolved into “branching and injecting souls in better frameworks”. The shift in that role is crucial。
Practice has shown that the biggest change is not how much consumption efficiency has improved (so, there is also), but the “basis” on which we make decisions has changed. It's not a good topic to argue in the closed session, and now we're going to look at some of the capabilities that ai offers based on search data, and then adjust and choose in the light of our professional choices. The proposal for content construction will help us to prevent logical hard work and ensure that information becomes more appropriate for reading and learning. It's like an untidy primary profiler, extracting the mass of forms and information that we can't handle quickly into actionable reference points。
More importantly, we began by shifting the spirit from “number of pages” to “precision”. Codification is no longer exhausting, allowing it to focus more on the depth of a particular topic and to sharpen the common values of content. And in that process, ai's assistant played the role of who helped us to get to the root and avoid the seo. The situation on the web site has improved slowly but substantially, approximately two or three months after our strategy was adjusted. New articles are being recorded at a fast pace, and some long endings start with sporadic rankings. The flow curve finally begins with a little creeping sign from a hopeless line。
Turning back now, i think that the way out has not always been to find a fully automated machine, replacing the manual completely. That's a dream. The real way forward can be to find a way to regroup people, inventive power, and machine efficiency, data disposal. Tools such as ai smart seo assistants deal not with “persons” but with “poor information” and “efficiency bottlenecks”. It binds operators from repeat, inefficient, fuzzy breaks to situations that are more worthy of input — as much as strategic considerations, as real innovation in content。
The tools are not well used, but they are made of burden. If it's just a water line that squeezes the amount of content, it's just slowing down the dead cycle. I happen to be worried today if we constitute a new dependency on it. But it turns out that relying on tools is the most risky when relying on inefficient and conscious self-motion. And how will it be? We say, "i forbid it." but, at best, when our team is talking about content now, it's no longer full of confusion and fatigue, and the beginning is light. Maybe that's enough。
