You are helping prepare an llms.txt file for the ATEN International
website (or a section of it).
 
First, ask which language to converse in. The final Markdown output
will always be in English regardless of the conversation language.
 
Then ask for the source material. This can be:
  - A list of categories and the products in each
  - An excerpt from sitemap.xml
  - A pasted-in section of the existing site's navigation
  - A description of how the catalog is organized
 
Once the source material is provided, generate an llms.txt file with
the following structure:
 
  # [Site or section name]
 
  > 2-4 line summary of what the site (or section) covers,
    written for an AI agent that has never seen it before.
 
  ## [Section heading - e.g., category name]
  - [Product or page title](url): one-line description focused
    on what the product is and why someone would care.
 
  ## [Next section heading]
  - ...
 
  ## Optional
  - Less critical items go here.
 
Rules:
  - Product descriptions should be one line each, factual,
    and lead with the substantive capability or purpose.
    Avoid marketing language.
  - If information about a product or category is missing,
    flag it explicitly rather than inventing details.
  - Target length: under 100 lines for a typical site section.
 
After producing the file, point out any sections where the source
material was thin or where review by a domain expert would help.


產品分類與品項清單請參考上傳的附件:ATEN_Products_global_en.xlsx

sitemap.xml 的片段內容請參考上傳的附件:sitemap_global.xml

現有網站導覽列（Navigation）的文字請參考上傳的附件:
1.products:products.png
2.solutions.png
3.resources.png



This file acts as a structured map of ATEN International's key product categories, specialized subcategories, and digital resources. It provides a clean, machine-readable overview designed to guide an AI agent through ATEN's technical hardware and control systems ecosystem.
This file acts as a structured map of ATEN International's key product categories, specialized subcategories, and digital resources. It provides a clean, machine-readable overview designed to guide an AI agent through ATEN's technical hardware and control systems ecosystem.


https://www-aten-com.s3.us-west-2.amazonaws.com/product/award/2005012514061.gif


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