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After AI abstracts consume most of the clicks, what indicators should the enterprise site pay attention to?

📅 2026-11-01 👁️ 0

After AI summary eats up most of the clicks, what indicators should the enterprise website pay attention to? Pay attention to where the visitors come from and what they do, not the total traffic from the search source. In the publicly available data on the search side, when AI summary appears, the click-through rate of traditional results will drop to about 8%, and when it does not appear, it will be about 15%. The cumulative decline in natural clicks for similar queries reaches 61%. Continuing to use total traffic as the core indicator will lead to wrong conclusions.

Where did the clicks go: Two forms of zero-click

One is when the answer is directly taken by the abstract, and the user does not need to click into any page; the other is when the abstract gives a direction but the user needs to verify the details, this type will still click, but are more inclined to click on pages that look authoritative and structured. The loss for corporate websites is concentrated in the first type, while the second type is an opportunity.

The method to distinguish between these two forms is not complicated: divide the search terms entering the site into 'question style' and 'brand and model style'. A decline in question style traffic is attributed to abstract interception, while a decline in brand and model style traffic indicates that there is a problem with ranking or content itself.

The three groups of indicators to watch out for

The first group is the brand and the amount of mentions. It includes the search volume of brand words, direct visits, and the number of times the company name is mentioned outside. When the answer is taken out, the user remembers the source name, and this set of indicators can reflect the change in advance.

The second group is the quality of visitors after being quoted. Look at the number of pages these visitors browse after entering the site, and whether they reach the product page or solution page. The abstract quote is equivalent to a pre-screening, and the visitors brought by the quote should be closer to the decision. If this group of data is poor, it indicates that there is a problem with the landing page reception.

The third group is lead conversion. The final indicator of the corporate site is actions that can be verified such as inquiries, registrations, and quotations, rather than page views. Comparing these three groups by week is more stable than just looking at search source traffic.

How to coordinate the keyword database with the modified approach

The maintenance method of the keyword database should shift from words to questions. AnQiCMS's keyword database management can centrally maintain SEO keywords, organizing the entries in the database according to 'how users would ask,' so that abstract citations and in-site searches can match the same batch of statements; only maintaining words will lead to situations where the search can find the word but it does not match the problem.

There are also two things involved: LLMs.txt is used to make it easier for large language models to understand and index the site content, which belongs to the basic configuration of the GEO side; AI writing capability is responsible for expanding questions into full-length content in batches. The three have different divisions of labor, the keyword library determines the aperture, LLMs.txt controls the way it is read, and AI writing controls the output capacity.

How often to review back

The frequency of review for three indicators is not the same. The brand and the quantity of mentions are viewed on a weekly basis, with small fluctuations and clear trends; the visitor quality is viewed on a weekly basis but needs to be compared with source grouping; lead conversion is viewed on a monthly basis, and there is enough sample for it to be meaningful. Only one variable is changed each time a review is made, and the content structure, keyword library, and landing page are also changed, making it impossible to judge after the event which item caused the change.

Common questions

Should the total traffic be considered?

It should be considered, but not as a core indicator. After the popularization of abstracts, the reduction in search sources may be structural, and using total traffic to evaluate the content team may lead to distorted actions.

Should we rewrite the old articles specifically for the abstract?

Prioritize modifying pages with clear sentence structure and existing rankings, placing conclusions upfront, writing paragraphs that are self-contained, and rewriting at a lower cost than creating new content.

What should be done first when there is insufficient production capacity?

First use AI writing to fill in the most frequently asked questions, then expand the tail. At the same time, fall within the keyword library to avoid redefining the problem each time new content is added.

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