The agent was unable to extract meaningful information directly from begrand.mx — the site's dynamic Next.js rendering and 404 errors on expected paths made direct navigation ineffective. Instead, the agent relied entirely on a web search [6] that surfaced external sources (ZoomInfo, PitchBook, news articles) to construct a partial answer about Be Grand's business, positioning, and pricing. The site itself did not surface the information needed to answer the task.

• ›Step [1] fetched the homepage but returned only truncated HTML with no usable content visible in the response; steps [2–4, 7] all returned 404s for expected navigation paths (/en, /pricing, /about, /departamentos-venta), and step [8] (/venta) succeeded but its response was also truncated with no visible content summary.
• ›Step [6] (web search) was the only content-bearing step. It returned links to external third-party sources (ZoomInfo, PitchBook, Mexico News Daily, EMIS) where the agent extracted pricing ranges ($146k–$583k USD), geographic scope, certifications (LEED, EDGE), and the $204M investment announcement. None of this information came from begrand.mx itself.
• ›The site is not agent-ready: it uses client-side rendering (Next.js) with no server-rendered content accessible via simple HTTP fetches, lacks a clear information architecture (pricing, about, product listing pages all 404), and does not publish structured data or an llms.txt. The agent had to bridge the gap entirely via external research and prior knowledge (50% sourced from previous artifacts, 33% from prior knowledge, only 17% from web search — but search was the only live source that succeeded).