The agent successfully assembled a comprehensive overview of Feishu by working around direct website access failures and relying entirely on web search results and prior knowledge. The site's main domain was inaccessible (steps 1–3 failed), forcing the agent to reconstruct the answer from search engine snippets, third-party comparison articles, and help center links that could not be directly fetched. Despite these barriers, the agent delivered a coherent explanation of Feishu's purpose, target audience, pricing tiers, and competitive positioning—though with acknowledged gaps in pricing transparency and feature comparisons that the site itself does not publicly document.

• ›Direct fetches of feishu.cn and its help center all failed (steps 1–3, 9–11), indicating the domain is either geo-blocked, IP-restricted, or otherwise unreachable via standard HTTP. The agent had zero direct access to the site's own documentation.
• ›The agent's entire final answer was sourced from web search results (steps 5–7, 12–15) that returned third-party comparison articles (JET IT Services, ToolRadar, yage.ai, Slashdot), Wikipedia, GitHub, and Baidu entries—none from feishu.cn itself. The search results included URLs to feishu.cn help articles (e.g., 'Overview of Feishu plans'), but these URLs were not fetchable and the agent cited them anyway as sources, indicating it was reconstructing information from search snippets rather than the pages themselves.
• ›The site publishes no single, coherent product overview page that an agent can access. Information about features, pricing, and positioning had to be inferred from fragmented search results and prior knowledge. Pricing was particularly opaque: the agent reports approximate figures (e.g., '$12/user/month Pro') sourced from third-party pricing aggregators, not from feishu.cn's own pricing page.
• ›The Feishu/Lark regional split (mainland China vs. international) and account incompatibility are not clearly flagged on the site itself; the agent discovered this from a dedicated third-party article (yage.ai) that had to be explicitly searched for.
• ›The agent correctly identified confusion points (pricing transparency, Feishu/Lark separation, limited integration docs) but these are structural gaps in what the site publishes, not navigation failures—the agent worked around them by acknowledging them as missing information rather than failing to complete the task.