Agent successfully assembled a comprehensive explanation of Quizz du Berger's purpose, features, pricing, and competitive positioning. The site was reasonably navigable: the homepage and blog comparison page directly supplied the core facts, though key methodological details (algorithm, candidate-position sourcing, accuracy disclaimers) were intentionally absent from public-facing content.

• ›Step [1] (homepage) provided core facts in a single fetch: quiz scope (174 questions, 21 themes, 40 candidates), target audience (French 2027 voters), free pricing, and user engagement metrics—agent did not need to reassemble fragments.
• ›Step [6] (blog comparison article) was directly cited in the final Sources section and supplied the competitive differentiation narrative—the site itself published explicit comparisons to Elyze, La Boussole, and MonVote2027, eliminating need for external research.
• ›The agent discovered both content-bearing steps by typing URLs from memory or via targeted search for 'comparatif' (comparison)—the site did not surface these via navigation menus or internal links during the homepage visit, suggesting deliberate structure rather than discoverability friction.
• ›Transparency gaps (algorithm details, candidate-position methodology, accuracy disclaimers) were correctly identified as absent from fetched content, not filled from model memory—agent distinguished between 'missing from site' and 'inferred.'
• ›The final response's Sources section cited only steps [1], [6], and external platforms (competitors), correctly excluding step [5] (search router) despite its presence in the trajectory—appropriate filtering of routing steps.