The agent retrieved core positioning, course features, and pricing from the homepage but could not fully explain what each pricing pack includes or verify competitive claims; the site exposed self-description but not detailed parity matrices or independent validation, forcing the agent to flag missing information rather than synthesize a complete answer.

• ›Step [2] was the only content-bearing fetch; the redirect at step [0] was necessary but not itself a source. The agent relied entirely on a single homepage summarization and did not navigate to /faq, /pricing, /conditions, or competitor research pages.
• ›Pricing is clearly stated (€89.90/month, 6 or 12 months) but lacks granular feature mapping — the agent could not determine which annales, QCMs, or videos are in each pack from the page, and the site does not publish a comparison matrix.
• ›Differentiation claims (72% pass rate, 10% national baseline) are presented without citation or methodology; the agent correctly noted these cannot be verified from the page and have no sources, flagging a credibility gap the site does not address.
• ›The FAQ and CGV pages are linked from the homepage but were not fetched; the agent noted this as a gap but did not proactively follow those links, limiting the completeness of its answer on refund terms and FAQ answers.
• ›The site is structured and readable (clear links, organized sections), but does not use structured data (schema.org, JSON-LD) or machine-readable pricing/feature tables; the agent had to extract and reason over prose, and was explicit about what it could and could not infer.