The agent successfully assembled a comprehensive overview of Aplim by combining web search results with direct fetches of key pages and a pricing PDF. The site itself was poorly navigable for direct discovery—standard URL patterns (/produits, /tarifs, /a-propos) all returned 404s—forcing the agent to rely heavily on search engine indexing and prior knowledge to locate substantive pages. Once discovered, the pages loaded but appeared to be Next.js-rendered with minimal extractable text in the fetches shown, so the agent supplemented with search snippets and a publicly available pricing document to construct a coherent narrative.

• ›The homepage and product pages returned valid 200 responses but appeared to contain minimal text content in the fetched HTML (truncated Next.js boilerplate), making them poor sources of structured information despite being technically accessible.
• ›Web search was the primary discovery mechanism: the agent found product pages (/charlemagne/vie-scolaire, /ecoledirecte, /entreprise), pricing documents, and competitor context via search results rather than site navigation.
• ›The pricing PDF (step 22) was cited as a source and successfully fetched, but the trajectory shows it as raw PDF binary—the agent appears to have extracted structured pricing tiers from it or relied on search results that quoted it.
• ›Standard information architecture paths (/produits, /tarifs, /a-propos, /solutions) were not implemented or were redirected, indicating either a SPA routing issue or incomplete site structure; the agent had to guess URLs like /charlemagne and /ecoledirecte which succeeded.
• ›The agent acknowledged multiple gaps in the final response (product line confusion, exact pricing breakpoints, sales model, market share) that it could not resolve—reflecting limitations in what the site publicly exposed or made machine-readable.