The agent assembled a comprehensive overview of My Analytics School by combining direct site fetches with web search results, ultimately satisfying the task of understanding what the company does, who it serves, how it's priced, and how it differs from alternatives. However, the site's JavaScript-heavy architecture and fragmented information layout forced the agent to rely heavily on web search (43%) and prior knowledge (29%) to construct a coherent picture; core content like pricing tiers and program details were not straightforwardly discoverable through direct site navigation alone.

• ›Step [1] (homepage) provided minimal actionable content; steps [5], [9], [10], [11] returned actual course/pricing pages but HTML structure was truncated in the fetches, suggesting dynamic JavaScript rendering made content extraction difficult.
• ›The agent had to guess at standard URLs (/pricing, /about) which returned 404s (steps [3], [4]), then rely on web search to discover the correct URL structure (/pricing/mas101, /about-us); the site does not expose its navigation surface clearly to indexing or direct traversal.
• ›Pricing information, program details, and placement statistics were ultimately sourced from web search results and third-party platforms (Tracxn LinkedIn) rather than transparently published on owned pages; the agent's final answer mixes direct fetches with external sources, indicating incomplete on-site documentation.
• ›The site failed to present a clear differentiation narrative, FAQ, course curriculum breakdown, or transparent metrics—all of which the agent flagged as missing. Navigation structure is non-obvious (standard routes like /pricing failed; nested routes like /pricing/mas101 required external discovery).