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Almost 70% of searches end without clicks on the result page, what actions can be taken on the content side?

📅 2026-11-01 👁️ 0

The percentage of zero-click searches approaching 70% after which, what actions can the content team take? There are still three types, and they are all content-related: write answers that can be excerpted in full paragraphs, ensure that these paragraphs are accessible on the site and are indexed in a timely manner, and let the brand name appear in a stable form in the quotes. The review on the day found that according to early statistics, about 70% of searches in the United States end with zero clicks, and Germany and France are between 62% and 65%. This set of numbers indicates that 'clicks are no longer the default item of the result form', not 'no one is looking at what you write', and both measurement and production scheduling need to change accordingly.

What can the tone of voice explain, and what can it not explain?

It can be explained that the distribution structure has changed: the result page takes over the answer, and visitors stay on the page without entering the site. What cannot be explained is that the value of the content has decreased - the segment extracted as the answer is exactly where the content is in effect.

There are three points to note regarding the use restrictions. First, this is a proportion calculated based on the number of searches, not equal to the proportion calculated based on traffic, and the click-through rate of queries with strong commercial intent is still significantly higher. Second, there is a big gap between different markets, and directly copying the American criteria to guide Chinese sites will be biased. Third, the statistics contain a large number of navigational queries (entering brand names directly to the site), and such queries naturally produce very few exit clicks.

How to arrange the production of answer-type paragraphs

Under zero-click conditions, the minimum unit of writing changes from 'an article' to 'an independent answer that can stand on its own'. The feasible production sequence is: first list the real questions users might ask, then write a conclusion for each sentence, and finally place the supporting details after the conclusion. The paragraph is self-contained, can be extracted without depending on the context, and does not require the reader to return to the beginning.

When scheduling, organize by thematic clusters, with Q&A within the same theme referring to each other, and internal links tying the themes together. Anchor text management is responsible for this layer: the automatic anchor text of internal keywords can stabilize the correspondence between 'question-answer pages' and avoid similar pages from competing with each other.

The two things that need to be coordinated on the collection side.

The answer is written well, but if it can't be read, it will not be exposed. The first is the sitemap: automatically generate a site map to provide a stable discovery entrance for new and modified pages. The second is the push: link push and active push notify the search engine of new content, shorten the time from publication to discovery, and avoid that the answer is always behind in fields with fast updates.

In addition, llms.txt is automatically generated by the system, providing a description file for the site structure of the large language model. It solves the problem of 'how does the model understand the site', and the inclusion solves the problem of 'whether the model can read it'. Both things need to be done, but don't expect one to replace the other.

Common questions

The click-through rate is rising, should we optimize the title?Yes. The title determines whether the link is clicked into the abstract and which theme the answer paragraph is categorized under.

How to measure whether the content is cited?Fix a set of questions and test regularly, record the number of times the site is mentioned and quoted, and separate it from clicks.

Should we rewrite all the old content?No need. Prioritize changing the first paragraph and paragraph structure, split long paragraphs into short paragraphs that can be independently cited, and the benefits are usually more focused than rewriting the entire article.

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