The agent successfully understood ViventaData's core offering and business model by assembling information from multiple pages across the site, though critical details about B2B pricing and competitive differentiation remained incomplete or had to be inferred. The site is navigable but relies heavily on client-side rendering and does not publish structured business information (pricing tiers, feature matrices, API docs) in easily crawlable form.

• ›Homepage and core pages (steps [1], [3], [5]) provided the foundational understanding of the property valuation tool and its geographic scope (Córdoba, Alicante), but returned JavaScript-heavy HTML without extractable text content, forcing the agent to rely on prior knowledge and pattern matching.
• ›The /inmobiliarias page (steps [14], [18]) and /about page (step [16]) explicitly documented the B2B lead-generation model and founder identity, but did not include pricing details, lead volumes, or feature breakdowns—the agent correctly flagged this as missing rather than fabricating numbers.
• ›The blog post (step [22]) was discovered via web search, not site navigation, and provided general educational content but no proprietary business insights; the site does not surface its own competitive positioning or validation data internally.
• ›The agent correctly identified that the site's business model (free consumer tool + paid lead generation to agencies) was inferred from context rather than explicitly stated in publishable form; no dedicated pricing page existed despite the agent guessing /pricing in step [10].
• ›Web search proved essential (steps [20], [26], [28]) to identify competitors (TodoProps, Tasaciones Online Gratis, Idealista, Fotocasa) and understand the market; the site itself contains no competitive benchmarking or differentiation statements.