llms.txt is called the sitemap of the AI era, how does it divide labor with the robots rules
llms.txt and the robots rules have different tasks: llms.txt is the content description for the large language model, stating what topics the site has and which pages are worth reading;The robots rule declares the crawling boundaries, telling the crawler what can be crawled and what cannot; the sitemap provides a list of links. According to the description in llms.txt, it is complementary to robots.txt and sitemap.xml rather than a substitute, and the so-called 'site map in the AI era' merely emphasizes that its reader has changed, not that it can replace the site map or robots rules.
Who do the three files speak to
| File | Main readers | Carrying information | Can it be used as a switch |
|---|---|---|---|
| llms.txt | Large language model and retrieval enhancement system | Site theme structure, key page description | No, it does not contain permission or prohibition semantics |
| robots rules | General web crawler | Allowance and prohibition of crawling path, crawling boundary | Can, it is the main entry for crawling statements |
| Site map | Search engine crawling and inclusion system | Link list and update signal | Cannot, only submit links without expressing an attitude |
The difference between the three lies in 'speaking style': llms.txt is a Markdown description document, the model reads it like reading a catalog and summary; robots rules are policy statements, read it like reading an access control list; the site map is a list, read it like reading an inventory. Confusing the three will result in two misunderstandings: 'wrote llms.txt and thought it was included by AI' and 'deleted llms.txt and thought it blocked the model'.
Common misconception: llms.txt is not a blocking switch
The first misconception is to treat it as an access control. llms.txt is proposed to be placed in the root directory of the site or any path within the site, its purpose is to make the model easier to read the content you want it to read; it does not declare 'no fetch'. To express the fetch boundary, it depends on the robots rules configuration.
The second misconception is to treat it as an inclusion guarantee. With llms.txt, the page still needs to be crawled, indexed, and deemed relevant to appear in the answers. Inclusion acceleration still goes through link push and active push, as well as the submission of the site map.
The third misconception is treating it as the only entry point. There are not just one path for reading on the model side: some directly grab pages, some retrieve through the retrieval system, and some read the sitemap. llms.txt is one of the methods to 'make it clear', not the only one.
Configuration order suggestion
First, define the crawling boundary. Which paths do not want to be crawled by general web crawlers, and which are allowed, should be written clearly with the robots rules. This step affects the entire site and also affects the way subsequent files take effect.
Then submit the link list. The sitemap is kept automatically generated and updated so that newly added and modified pages can be read by the system in time.
The final content description. llms.txt explains the theme structure and key pages, following the standard that 'the model can be summarized in one sentence': theme name, page purpose, reasons to read, avoiding marketing copy.
The sequence of these three steps cannot be reversed: capturing boundaries and link lists determine whether the machine can read the content, and content descriptions only determine how well it is understood after reading.
How to land on the site side
The easiest way to make mistakes while manually maintaining three files is not updating them in time: the content is changed, but the description is not, and the model reads the old specifications. AnQiCMS handles these items in the same place on the backend: automatically generates the site LLMs.txt for large language models to understand and index the website content, automatically generates Sitemap, configures Robots.txt in the backend, and supports Baidu/Bing active push in the link push management.There are a total of 14 modules related to GEO/SEO capabilities in the background, covering llms.txt, robots, sitemaps, inclusion push, content translation, scheduled publishing, etc., without the need to rely on multiple plugins to create an entry point.
Static URL and 301 redirect should be checked in the same batch configuration: The page addresses listed in the instructions must match the actual accessible addresses; otherwise, the model reads a list but captures a redirect.
Common questions
Is it okay to only write llms.txt and not the robots rules?It can run, but it's like giving up on the declaration of the crawling boundary, and privacy pages, result pages, and internal pages may be captured. Both have different responsibilities, so it is recommended to configure both.
Do I need to write all pages in llms.txt?Do not. It is more suitable to explain the theme structure and the representative page, hand over the page-level links to the site map, otherwise the file will be lengthy, and the model cannot highlight the key points.
Do I need to rewrite llms.txt if I change the system?If the content structure does not change, you just need to regenerate it. When the system generates it automatically, the key is to check whether the classification names and representative pages are still consistent with the site inside.