AnQiCMS Help Document and User Guide
The click-through rate on the result page with AI overview is significantly lower, the relevant range verified on the day is an average click-through rate low by 58%, but correlation does not equal causation: high-intent queries are more likely to appear in the overview. Rewriting the title and description can save the part that is quoted and clicked on, the direction is to change from keyword stacking to an independent extractable conclusion sentence style, and use a keyword library to ensure the consistency of the whole site.
The mobile experience index pass rate is nearly 10% lower than that of the desktop, the gap is concentrated in the loading link of the real network and mid-low configuration devices, and images and third-party scripts consume the most. What the program level can make up is the operating margin: memory usage reduced by about 80%, and the single machine can carry about 5 million PV. These official estimates determine whether the response is stable under high concurrency, change one and measure one, do not use laboratory data instead of real user data.
The proportion of AI crawlers blocked on news stations is much higher than that on development tool stations, the difference comes from the relationship between content and income: the industry tends to block content as inventory, and to release content as a lead funnel. The industry average can only be used as a reference, not as a conclusion for this station. A more stable approach for self-built stations like Anqi CMS is to determine strategies at the column granularity, first judge whether this column is inventory or a funnel, and then configure and verify the entry sources separately.
When a site does not have a robots file, the crawler treats it as an allow rather than a block: the three states of missing file, empty file, and all allowed have the same semantics, all indicating that there is no guidance. Nearly two out of ten sites sampled that day did not have this file. When making up for it, write a clear list of the entire site range, background path, and site map entry, and verify it with crawling records after writing, not just by looking at whether the file exists.
Among the requests of AI crawlers, only a few are for real-time retrieval of content for users, and it is not cost-effective to block the entire site: According to the distribution of purposes verified on that day, training accounts for the majority, while real-time retrieval only takes up a small proportion, but that part carries real users. A more stable approach is to group and handle by purpose in the robots.txt file, tighten training, allow retrieval, and use interference codes to control batch collection, and test the number of requests and return status before and after the change.
Paragraphs with statistical numbers and quotes have higher visibility in AI answers, the adjustment needed in content scheduling is the paragraph writing style: one paragraph should answer only one question, key numbers and sources should appear in the same paragraph, and the title should be written according to the user's question. When the output volume is large, consistency is maintained by keyword libraries and automatic tags, not by manual editing and monitoring article by article.
Promoting lightweight programs with less than 400 KB of code, when selecting, in addition to the repository size, you also need to look at three items: the runtime resident memory and single-machine bearing capacity, the data table structure and the scope of functional coverage, and the deployment form and recovery cost. The code size only indicates the size of the release package, and when the functional gap needs to be filled with extensions, the saved volume will become a new risk area and maintenance hours.
In the tens of thousands of newly discovered vulnerabilities, ninety percent are in extension components rather than core programs. To ensure that the site's component list is clean, rely on three sets of accounts: what components are installed, the version of each component in use, and the source and maintenance status of each component. First straighten out the list before talking about patching ahead of time. The built-in SQL injection and XSS protection only covers the input layer and cannot replace component version verification.
After the script language branch enters the stage of only receiving security fixes, the site operator needs to keep an eye on two dates: the date of cessation of active support and the date of cessation of security fixes. The former means that functional defects will no longer be repaired, and the latter means that even critical security issues will no longer have patches. The period between the two dates is the migration window, and it is usually too late to start when the second date is approaching.
The upstream program releases a high-risk patch every six to eight weeks on average, the maintenance window should not be set according to 'accumulate a batch and then change'. The window should be short and the frequency stable: control the amount within a few hours, schedule in advance according to the patch rhythm, leave a recovery point before the window, only move one layer within the window, leave a verification record after the window, and use scheduled release to stagger the content schedule to avoid the window period.
