The agent successfully assembled a comprehensive overview of Yueyi Active by retrieving the homepage and four product/service pages (.md files), but had to work around a deliberately minimal site structure—most conventional navigation paths (about, services, contact, pricing) returned 410 or 404 errors, forcing discovery through the llms.txt index. The site is moderately agent-ready via structured markdown files but obscures pricing behind quote requests, leaving the agent unable to provide concrete custom manufacturing costs.

• ›Step [1] (homepage) provided the core value proposition in meta tags and SEO descriptions (OEM/ODM manufacturer, 24 lines, 200K+ pcs/month, MOQ 300+, SMETA-audited) but contained no detailed business model breakdown; the agent had to synthesize from multiple product pages.
• ›Steps [14–18] show the site publishes an llms.txt index with links to markdown files (.md routes), which proved essential—conventional site structure was broken (steps [2–3], [5–12] returned 410/404). The agent discovered this via robots.txt, indicating intentional AI-agent routing rather than sitemap navigation.
• ›Steps [15–18] revealed four distinct service pages with different positioning (for-brands, custom-sportswear, wholesale-activewear, private-label-sportswear), each with slightly different MOQ/pricing claims (300+ vs. 100 vs. no minimum), suggesting the site targets multiple buyer personas but lacks a unified messaging layer.
• ›Pricing information is fragmented across pages with incomplete details: ready-stock wholesale has per-piece costs ($4–31), but custom manufacturing prices are entirely absent—no quote form was reachable (step [9] /contact was 404), only WhatsApp/email references buried in content.
• ›The site's agent-readiness is asymmetric: structured metadata, llms.txt, and markdown files are present and well-formed, but conventional discovery paths are deliberately disabled, requiring agents to know about or guess the .md suffix convention and use llms.txt as a sitemap substitute.