The agent assembled a coherent answer about Wild's business model, positioning, and pricing by combining a successful homepage fetch, one accessible product page, and web search results — but had to work around significant site navigation friction. Core product pages and information architecture returned 404s, forcing heavy reliance on search snippets and prior knowledge to construct the final explanation. The site's structured content was largely inaccessible via direct navigation, making it unsuitable for autonomous product discovery without external research.

• ›Step [1] (homepage fetch) returned 200 but response was truncated (4400+ chars omitted), preventing the agent from extracting detailed product/pricing information directly from the landing page.
• ›Step [12] (product page `/us/products/ultimate-deo-refill-pack`) returned 200 but was also truncated, limiting the agent's ability to extract specific pricing or case costs from the actual product page.
• ›Steps [2], [4], [6], [10] all returned 404s for logical information architecture paths (/pricing, /pages/about, /pages/how-it-works, /pages/why-should-you-switch), indicating the site either lacks these pages or routes them differently. The agent was forced to infer that these pages don't exist or are inaccessible.
• ›Step [13] search yielded a support article URL (support.wearewild.com) with pricing details, but the agent never fetched it — the answer relied on search snippet text rather than the full page content.
• ›The agent's final answer draws heavily on competitive context (Native, Schmidt's) and sustainability messaging that came from search results [11], [14] rather than direct site content. Prior knowledge accounted for 29% of sources per the run metadata.
• ›Critical information gaps persisted despite success: starter case pricing was never found, product catalog scope remained unclear, and regional pricing/availability differences were identified but not fully resolved. The agent acknowledged these limitations explicitly in the final response.