The agent retrieved enough information from two pages to explain Monte Tuning's core offering, pricing, and positioning. However, the site's limited surface area and missing pages (404s on /about and /how-it-works) forced the agent to assemble a complete picture from the homepage and a single comparison article, then supplement with model inference about what remained unclear.

• ›Step [1] (homepage) was the richest source, containing product names, pricing, warranty, performance claims, and key differentiators—all in one fetch. The agent did not need to navigate deeper into the site to answer the core task.
• ›Step [7] (news article URL discovered via web search, not site navigation) added product-level comparison details (GT vs GTR feature breakdown) that were not present in step [1], suggesting the site's internal linking or navigation did not expose this content easily.
• ›Steps [3], [4], [5] all returned 404s, indicating either missing pages or broken URL structure. The agent guessed plausible paths (/pages/about, /pages/how-it-works, /blogs/news) based on common site patterns, receiving no guidance from the homepage itself.
• ›The agent filled significant gaps (competitor names, technical explanations, verification of performance claims) through model memory and external context rather than site content. The final response explicitly flagged these as missing/unverifiable.
• ›Site discoverability relied heavily on agent initiative: 60% of URLs were typed from memory, 20% from web search results. Only one URL (the news article) was followed from a fetched page, suggesting weak internal linking or navigation structure.