Only a little over 30% of the pages referenced in the AI overview come from the top ten, so should we still pay attention to the ranking?
The pages referenced in AI Overview are only over 30% from the top ten, should we still focus on ranking? We should, but the focus has changed: the decline in overlap indicates that 'being in the top ten' is no longer a condition for being referenced. Ranking monitoring has changed from a conclusion to an entry signal, and the real factor determining whether a page can be referenced is whether there are paragraphs that can be extracted separately from the page, and whether these paragraphs can be consistently attributed to a certain issue.
The overlap is decreasing, which layer is being referred to?
The proportion of more than 30% comes from the analysis of more than 860,000 result pages, which compares the intersection of two things: the pages referenced by AI overview, and the top ten pages of natural results for the same query. One year ago, this intersection accounted for about three quarters, and now it is only a little more than 30%.
It should be noted that the decrease in overlap refers to 'the references are no longer concentrated at the top', not 'the quality of the top pages has deteriorated'. The ranking of natural results is still determined by the existing signals, and the generated answers will explore earlier to the pages after the top ten in selecting sources, as long as the content of that section can directly answer the question.
In fact, the impact on the site is that two things have been split apart: whether it can be clicked, it depends on the ranking; whether it can be cited, it depends on whether the paragraph is an independent answer.
What are the remaining functions of ranking monitoring?
Ranking is not without value, but its scope of action has narrowed.
The first is entry inspection. The sudden drop in ranking usually appears before the reduction in citations, and once the position falls to the second page, the chance of the page being read decreases, and such anomalies still need to be discovered through ranking monitoring. The second is coverage verification. Whether a new issue can enter the top ten after going online reflects the match between the content and the issue, which is one of the prerequisites for citation. The third is competitive analysis. Who rises in the same batch of queries often also appears in the same batch of answers' citations.
The function no longer applicable is 'using ranking instead of visibility'. A weekly report that only reports rankings would miss a common situation: no change in ranking, decrease in citations; and also miss another situation: ranking decline, citations increase instead.
Three things more worthy of attention than ranking
First is the list of citation matching issues. Group queries of the same topic into several questions, and see which ones have entered the answer and which have not, which is easier to locate gaps than page by page to view traffic.
The second is the extractability of paragraphs. The generated answers extract a self-contained piece of text, which is easier to quote directly when it contains premises, numbers, or steps; content that requires cross-paragraph supplementation to understand is often rewritten into a single sentence summary, and the source may not necessarily fall here.
The third is identifiability. Content under the same theme should be able to be consistently categorized: the keyword library determines which thematic collection these pages belong to, and the anchor text determines what to call when linking internally. When the口径 are inconsistent, the same concept within the site may have multiple names, and the signals read will also be scattered.
How to make content extractable in the site
In practice, it can be condensed into four steps.
First, a paragraph should answer only one question, state the conclusion at the beginning, and then provide the basis without jumping to another paragraph. Second, conditions, values, and time ranges should be written into the sentence itself, not inferred from the context. Third, the anchor text of the internal link should use the original word in the question, not terms like 'here' or 'details' that provide no information. Fourth, align the keywords in the keyword library with the words in the paragraph, and maintain the same writing style for the same concept in the title, body, and internal links.
These four steps' benefits are not only in generative retrieval. After the paragraph is self-contained, even manual readers can judge whether to click on the result page by looking at only one abstract, which is both sides of the same thing as the ranking click-through rate.
Common questions
The overlap is only a little over 30%, should we still do natural search optimization?Yes. The page of reference dependency can be read, and the natural results are still the main entry point, and both are two sections on the chain, not a substitute relationship.
Should we focus on ranking first or on references first?Keep an eye on the anomalies in the rankings to identify problems; then focus on which issues are hit by references to locate the gaps. Only looking at rankings will miss out on 'positions unchanged but references reduced', and only looking at references will miss out on the entry itself becoming ineffective.'
How often should the keyword library and anchor text be verified?Verifying by topic is more practical: after adding a batch of content, check if its vocabulary falls into the existing topic set; merge the same concept immediately when two different writing styles are found, and do not leave it until the end of the quarter for集中处理.