The crawling coverage of AI crawlers has reached over 50%, how should the content site use this number?
In the report, the site crawling coverage of the AI spider exceeds 50%, how should the content site use this data? First, it needs to be restored to a standard: An analysis based on 6.67 billion robot requests gives a certain search-type AI spider a coverage rate of 55.67%. This number counts the proportion of sites visited by this type of spider, not how many of your sites have been visited, nor how many citations it has brought after the visit. Therefore, its correct use is to judge the universality of this matter, not as an effect indicator.
What is this coverage rate actually counting?
Industry-level crawling reports usually have three implicit settings, you must restore before reading numbers:
Is the sample request volume or site volume. When the denominator is the number of requests, a few high-frequency sites will increase the overall proportion, and the coverage looks high but does not mean that long-tail sites are also taken care of. Is the statistical object 'visited' or 'read content'. Crawling the homepage once and traversing the column pages are often counted as the same event in statistics. Which time window is it, and the sample structure of cross-year samples is very different.
What do the three indicators explain
Separate the three numbers that are easy to mix up, and you know which one to watch.
| Indicator | What is being counted | Who can measure | What can be decided |
|---|---|---|---|
| Crawling coverage | Proportion of visited sites | Industry reports | Is it worth investing in this matter |
| Citation rate | Proportion of content used as a source in the answer | Self-statistics plus answer-side inspection | How to change the content organization method |
| Click through rate | Visits and conversions brought by citations | Site analysis tool | Is the page worth continuing to maintain |
Coverage is an environmental quantity, indicating that such scraping has become the norm; it does not imply that 'your site should be referenced.' The truly actionable are the latter two, and their scale is usually much smaller than coverage, which is why many people feel a big gap after seeing industry numbers.
How to make up for the gap between industry samples and your own logs
There is a need for calibration between industry numbers and your own site, and the steps are not complicated:
First, pull out the requests from AI user agents in the log, see if they hit the homepage, category page, or detail page, the depth of access can distinguish between 'just passing by' and 'really reading the content'. Then, see if these requests are accompanied by robots.txt read records to determine if they are coming according to the agreement or bypassing the agreement. Finally, group by page and find the group that is repeatedly crawled but brings no references.
After this step is completed, the industry numbers can be landed on the site: If the detailed page of your own is almost not indexed, discussing the citation strategy is not meaningful, first solve the accessibility; If the indexing volume is very high but the citation is zero, the problem is in content organization, not in authorization configuration.
Convert the numbers into three in-site actions
The first one is the robots authorization boundary. robots.txt determines which paths can be accessed, which is a configuration issue, after changing it, you need to observe the changes according to the cache cycle, not change once and look once.
The second item is the site description file. AnQiCMS supports automatic generation of llms.txt, writing the site structure and key content entry to the large language model, solving the issue of whether the site can be quickly understood, it solves the cost of understanding, but does not solve whether the other party will come or not.
The third item is proactive push and inclusion coverage. Link push notifies the search engine side of new content, belonging to the coverage layer action; it is not the same link as AI crawling, but because the sample often contains mainstream search engine crawlers, whether the coverage is complete will directly affect the distribution pattern of crawling that you can observe.
Do not use coverage as a performance indicator
The most common misuse is to put industry coverage into your monthly report and then judge according to its rise and fall. This number is not affected by site behavior, and the rise and fall comes from the composition of the sample. A viable alternative is to set three in-site indicators for yourself: the proportion of pages indexed, the number of references to the indexed pages, and the number of visits with reference sources. These three numbers are the only ones that have a causal relationship with configuration and content changes.
Common questions
Does a coverage of more than 50% mean that half of the traffic will come from AI?It does not mean that. Coverage is the proportion of the site that is visited, and traffic proportion is another set of statistics, with different denominators.
How can I deal with incomplete logs on my own site?At least keep access records with user agents, and save them by day, industry numbers can only be calibrated by self-owned logs.
Should we write a specific rule for AI crawlers?It depends on the choice. If you want to be indexed by search engine crawlers, keep the accessible path; training and indexing often match the same rule, and need to be written separately by user agent to distinguish processing.
How often should we look at these three in-site indicators?Based on the crawling cache cycle, it is more stable to look at two to three cycles, and it is easy to be misled by single batch crawling if checked every day.