The agent assembled a comprehensive explanation of AliExpress by relying almost entirely on web search results and prior knowledge, since the site itself was inaccessible (maintenance pages, language barriers, routing failures). The final response correctly explains AliExpress's business model, pricing, target audience, and competitive differentiation, but was built entirely from external sources rather than from the site's own documentation or interface.

• ›Steps [1], [2], [4], [5] returned only HTML boilerplate, maintenance screens, or truncated responses—the actual AliExpress homepage and help pages did not expose readable, structured information about the company, pricing, or service model.
• ›Steps [3], [10] attempted to access /about and /agreement/terms.html but returned either maintenance pages or 404 errors, indicating AliExpress does not publish traditional corporate or legal documentation in easily crawlable form.
• ›All substantive content in the final answer came from external third-party sources (seller.alibaba.com, dodropshipping.com, spocket.co, elitefindshub.org, etc.) fetched via web search in steps [7], [8], [9], [11]. The agent had to infer AliExpress's identity and mechanics from *about* AliExpress rather than *from* AliExpress.
• ›The agent correctly identified gaps (tariff mechanics, seller verification, return policy details, data privacy) that were not clarified even by external sources, showing awareness of what the site itself failed to surface.
• ›The site is poorly agent-ready for discovery: no accessible About, Help, or Terms pages; no structured data or llms.txt; homepage was language-gated and maintenance-blocked. The agent had to route entirely through web search and prior knowledge (100% non-site sourcing per metadata).