The agent assembled a reasonably complete overview of BERTA's business—stands, furniture, lighting, and event decoration services for conferences and exhibitions in Uruguay—by combining the homepage fetch, web search results, and supplementary pages discovered via search. However, the website itself was sparse and functionally limited (many expected navigation paths returned 404s), forcing the agent to rely heavily on web search to discover navigable pages (/mobiliario, /blog) and on inferences from search snippets and external sources (the Convention Center provider list). Pricing and service differentiation remain underspecified because BERTA publishes neither on their site, relying instead on custom WhatsApp quotes.

• ›The homepage (step [0]) is a Next.js app that loaded but the HTML response was truncated, and the agent could not extract structured information from it. Multiple common navigation paths (/precios, /servicios, /sobre-nosotros, /catalogo, /productos) all returned 404s, indicating either a broken navigation structure or a minimal site architecture.
• ›The agent discovered working pages (/mobiliario, /blog, specific blog articles) entirely through web search (steps [6], [11], [14]) rather than navigation links from the homepage. The search results provided human-readable summaries (e.g., 'Alquiler de Mobiliario e Iluminación para Eventos en Uruguay') that were more informative than the raw HTML fetches.
• ›Pricing is explicitly not published on BERTA's website; the agent correctly identified this gap and inferred the business model (custom quotes via WhatsApp) from context. The PDF supplier list from the Convention Center (step [13]) confirmed BERTA's status as an official provider but contained no pricing or service details.
• ›The agent had to infer competitors (ROAR, Estandarte, etc.) via web search rather than from BERTA's own positioning. The site provides no direct comparison or competitive context.
• ›The site is portfolio-and-contact-driven (emphasizing WhatsApp), not information-driven. Structured data (schema.org, JSON-LD) or a detailed services page would have made this task significantly easier for both human and agent navigation.