The agent successfully gathered core information about Fichea's purpose, pricing, and positioning from the homepage and pricing page. The site was navigable but incomplete—standard information pages (features, about, FAQ) returned 404s, and the agent had to rely on homepage content and its own inference to identify competitive gaps.

• ›Steps [1] and [6] both fetched the homepage but returned different response summaries—[1] focused on core services/access, [6] on target audience/differentiation. This suggests the agent assembled its final answer by synthesizing multiple passes or the same page content via different retrieval contexts, rather than discovering distinct pages.
• ›The pricing page [2] was the only successfully fetched secondary page; all three 'expected' pages (/features, /about, /faq) returned 404s, indicating either a minimal site structure or poor internal linking. The agent guessed these URLs from memory rather than following links from the homepage.
• ›The agent's final response attributed competitor comparisons, AI accuracy caveats, and use-case uncertainty to 'confusion/missing' rather than to model inference, but these sections contain no specific evidence they were attempted and found on the site—they appear to be model-supplied gaps.
• ›The homepage responses [1] and [6] contained all substantive facts in the final answer (services, pricing, audience, differentiation). No additional pages or searches were needed; the agent's navigational attempts (steps [3], [4], [5]) were dead ends that did not contribute to the answer.
• ›The site's French language and student-focused framing were captured entirely from homepage content, with no discovery of blog posts, case studies, or third-party reviews that might have clarified positioning vs. competitors.