The agent successfully gathered enough information to explain Aimoova's core business model, target audience, and service offerings, but encountered a critical gap: the site does not publish pricing publicly, forcing the agent to note this as a major friction point. The site's reliance on client-side JavaScript rendering and lack of detailed service documentation made complete discovery difficult, requiring the agent to supplement with inferred understanding from partial page fetches and prior knowledge.

• ›Step [1] (homepage) provided foundational company identity and positioning but was rendered via JavaScript; the raw HTML fetch returned truncated content that did not expose full value propositions or service tiers. Step [4] (servicios page) and Step [7] (servicios-ia page) were successfully fetched but similarly returned JavaScript-heavy markup that did not yield detailed service descriptions in the static response shown.
• ›The agent could not find a pricing page despite explicit attempts (step [3] returned 404 at /pricing). The agent then resorted to web search (steps [5], [8], [9]) but those searches returned external articles and competitor rankings, not Aimoova's own pricing information—indicating the site does not publish pricing in a discoverable, machine-readable form.
• ›The site appears agent-unfriendly for evaluation tasks: no public pricing, no case studies cited, no structured service definitions, and heavy client-side rendering that obscures content from static fetchers. The agent filled gaps using prior knowledge about Spanish AI automation agencies and general consulting models, rather than extracting definitive answers from Aimoova's own content.