AI abstracts reduce search clicks, is it still worth writing long-tail articles for content sites?
AI abstracts make search clicks decrease, is it still worth writing long-tail articles on content sites? Yes, but the writing style needs to change: the clicks that decrease are the traffic of 'ask and leave', and the clicks left are more inclined to pages that need comparison, download, and contact information. The answer engine just quotes the long-tail content that can stand alone as a paragraph. Below, present the basis for judgment in three steps: first look at the data, then look at the conditions, and finally look at which pages to cut.
The click distribution changed by AI summary, not the search demand
The third-party tool Ahrefs provided an updated study in 2026 that gives the most quoted perspective: they selected 300,000 keywords for comparison, and the click-through rate of pages with AI summaries is 58% lower than without them.This number should be read correctly: it refers to the click difference between the same batch of words in two different forms, not that all search traffic will decrease by more than half, nor does it mean that users will stop asking.The requirement is still there, but the 'ask one, get one' section has been summarized, and what can be taken away is exactly those pages that lack details, lack a stance, and can be copied from the internet once.
Three conditions for writing long-tail articles worth continuing
The first one, the first 120 characters should be able to stand independently. The answer engine prioritizes expressions that can stand independently of the context when extracting paragraphs, and places the conclusion at the beginning when writing a long-tail text, rather than laying the background.The second, the number and caliber should be verifiable. When referencing external research, note the source and search date, and only write the parameters of your own products that can be found in the official documents.The third point, the inclusion path must be stable. If the machine cannot read the newly written long-tail page at all, it is meaningless to discuss whether it is worth writing. This step is divided into two small parts: the sitemap is responsible for delivering the URL list to the search engine, and the link push (active push) is responsible for reporting the new page to Baidu and Bing in the first time, and both have different tasks, and if one is missing, there will be long-tail pages lying in the library and no one will find them.
Which long-tail pages should stop writing or merge
| Page Type | Typical characteristics | Suggested action |
|---|---|---|
| Define the duplicate page | Content is equal to the first paragraph of the encyclopedia | Stop writing and merge into related theme pages |
| Parameter listing page | Only tables without judgment | Keep after supplementing the comparative conclusion |
| Time-sensitive quotation page | Price changes monthly | Add search date, review regularly |
| Practical steps page | Need screenshots and sequence | Keep writing, long-tail value is high |
| Local service page | With region and scenario | Keep writing, the summary is hard to replace |
The criteria are very simple: a page that AI can recite all at once, and there is no moat after writing; pages that require your data, your process, and your on-site experience, no matter how many you write, will never go out of date.
How to manage long-tail keywords in the keyword library
Long-tail keywords are easiest to lose control over because there are many of them and they overlap a lot. In practice, it is recommended to use a keyword library for centralized management: each keyword record should include the subject it belongs to, the type of intention (search for definition, search for steps, search for comparison), and the corresponding page state.Before writing, check the database first, merge if there is a duplicate topic instead of starting a new one; after writing, go back to the database registration page and also record the review cycle in the database. In this way, 'which words do not have pages, which pages need to be reviewed' becomes two queries instead of one search of the database.The Anqi CMS and similar site backends come with a built-in keyword library management. When working with AI writing to assist in drafting, the output is initially a draft, followed by manual review before publication, to avoid copying old slogans from the library in bulk.
The inclusion path needs to be checked together
Fixed actions after publishing the long-tail page: Confirm that the site map includes the new address; Confirm that the link push task is normal (push failure is often due to interface quota and authorization changes); Review the index quantity change after two weeks. These three things won't take more than ten minutes, but if any of them are missed, the previous selection judgment is all talk.
Common questions
Will the clicks on the long-tail article come back?The clicks that come back are not the original click form. The 'Extended Reading' position above the summary answer prefers pages with exclusive data and steps, and pure repetition long-tail can't come back, nor is it necessary to insist.
The team's production capacity is limited, which type should be done first?Do the practical step page and local service page first, and then do the parameter comparison page; stop writing the class definition.
Should the keyword library be maintained manually?Basic entries can be refilled by in-site search terms and zero-result terms, but human judgment is needed for intent classification and collision merging, it is recommended to review once a month.
How to verify if AI has cited me?Take some target questions to the mainstream answer engine and ask them one by one, record the cited pages and questions, compare them monthly, and this action will also be expanded in the monitoring part below.