The agent assembled a coherent overview of Solvo.uy's business from three fetched pages (homepage, case studies, contact), but encountered a fragmented site where pricing is deliberately hidden and structural navigation (e.g., /precios, /servicios, /about) returned 404s. The agent filled gaps about competitive positioning and market fit partly from its own reasoning rather than published site content.

• ›The homepage returned a coherent summary of services but was not directly fetched as structured/HTML content — it was returned as a Markdown-formatted overview, suggesting the agent received a model-processed extraction rather than raw HTML. This indicates the site may lack machine-readable metadata (schema.org, JSON-LD) for agent parsing.
• ›Pricing is completely absent from the site. The agent's attempts to fetch /precios, /servicios, and /about all failed with 404s, revealing poor site structure and no internal navigation to pricing or service details. Contact is the only call-to-action.
• ›The agent discovered pages through memory-driven URL guessing (67% of URLs typed from memory, not surfaced by the site) — a sign the site has minimal internal link scaffolding or a poorly structured information architecture.
• ›Case studies page (/casos) provided concrete examples that anchored the 'who it's for' section, but case studies alone do not substitute for transparent pricing, implementation timelines, or service tiers — standard discovery signals for B2B SaaS.
• ›Web searches returned multiple unrelated companies with 'Solvo' in the name (solvo.ai for supply chain, Solvoyo), creating noise that made it harder to isolate the solvo.uy identity and differentiation in the broader AI automation market.