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Four core reasons for the decline in independent station rankings after Google SGE update

Published2026-06-29Authorhenry9 viewsSource奇点数聚
#News#Google SEO#Weixin Official Accounts

Recently, a large number of independent foreign trade stations have experienced abnormal phenomena: the keyword rankings are still on the front page, and the display volume has not decreased, but the number of clicks has dropped sharply, and inquiries have been cut straight.\ The x0d\x0a ranking is still on the home page, but clicks and inquiries are cut, and the problem is not external!!!

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Recently, a large number of independent foreign trade stations have experienced abnormal phenomena: keyword rankings are still on the front page, and the display volume has not decreased, but the number of clicks has dropped sharply, and inquiries have been cut straight.
Many webmasters repeatedly check external chains, servers, and keyword layouts, but never find the root cause of the problem. The essential reason is not that websites are punished, but that Google SGE's generative search completely rewritten the traffic allocation rules. Today, the four key issues that have caused rankings to fail and traffic to decline are also common shortcomings of most independent industry and trade stations.

1. AI summaries squeeze natural ranking positions, and first-screen traffic is directly cut off

After SGE is launched, the answer blocks summarized by AI will be displayed first at the top of the search page, occupying a large area of natural search results. Even if your webpage is stably ranked first in natural search, the page position will be pushed to the bottom of the screen by the AI summary, and users will not see the link at all without swiping the page. Data shows that as long as search triggers AI overview, the overall click-through rate of natural results on the home page will drop by 30%-60%, and a large number of information words will directly become "zero-click search." The old SEO only competed for blue link rankings, but did not seize the citation seat of AI summaries. The rankings were still there, and the exposure portal had been lost.

2. The content is only filled with keywords and cannot be captured and quoted by AI (thin content is greatly reduced)

In the past, rankings could be obtained by embedding words, short content, and list pages in articles;SGE relied on a large model to intensively read the original text of the web page, and only included text with complete structure and detailed information as answer materials. These two types of pages will be directly abandoned:

The product page only has parameters, no scenarios, selection plans, and industry pain points;

Blog posts are fragmented, with only a few sentences, lacking complete questions and answers, comparisons, and step instructions. AI cannot extract effective information, pages will slowly be crawled less, and keyword rankings will continue to fall. Thin content supported solely by external chains will collectively fail in the SGE environment.

3. EEAT lacks authority, and Google AI no longer trusts your site

SGE has upgraded EEAT (experience, professionalism, authority, credibility) to a core rating, no longer just looking at the number of external chains. Domestic factory independent stations generally have shortcomings:

There are no real corporate reality, engineer team, or factory reality;

There are no project cases, industry technical documents, and measured data;

The contact information is incomplete and there is a lack of company qualification instructions. In the AI discrimination mechanism, such sites will be judged as ordinary marketing websites, and their information credibility is lower than that of industry platforms and overseas counterparts. Even if the quality of the external chain is not bad, the rankings will continue to be squeezed by authoritative sites, and the core words will gradually fall behind.

4. Only do keyword SEO, no semantic layout, and cannot keep up with AI search logic

Traditional optimization only focuses on accurate product words;SGE is semantic retrieval, which automatically expands upstream and downstream questions, contrast words, and solution words. A large number of independent stations only optimize core product names, and have no layout derivative issues: semantic content such as selection standards, fault handling, foreign trade procurement precautions, and material comparison. When AI integrates information on the entire network, the information dimensions of your site are too single and lack complete theme content. The theme weight of the entire site continues to weaken, long-tail words are gradually dropped, and overall traffic is gradually shrinking.

In the era of SGE, it is no longer feasible to simply grab natural rankings. The optimization idea must shift from "keyword ranking" to "cited by AI + improving site authority." If you find that the website's ranking is still there but traffic continues to decline, you can reply to [Test] and do a free SGE site physical examination to find out the problems that the page cannot be included by AI and the EEAT is missing.

Want to apply these ideas to your own website?