The agent successfully assembled a comprehensive explanation of zilo.am by navigating the site's core pages and inferring its purpose from URL structure and guide content, since the site's HTML responses were not fully renderable. The site proved navigable via direct URL guessing (/map, /auctions, /guides, /property/*) but offered limited machine-readable metadata; the agent had to reconstruct the value proposition and business model from fragments, guides, and prior knowledge, explicitly calling out the absence of pricing and company information.

• ›Steps [6], [7], [20] confirmed the existence of /map, /auctions, and /property sections through HTTP 200 responses, establishing the site's core feature set, but the HTML was not fully parsed by the agent—it relied on URL semantics and guide content to infer meaning.
• ›Steps [15], [16], [17] returned guide pages (/guides/government-auctions-armenia, /guides/buying-property-armenia) that the agent cited as sources; these were the most content-bearing, allowing the agent to articulate Zilo's positioning (transparency, deduplication, source attribution, market education).
• ›The site did not publish explicit positioning, pricing, team, or business model information in easily discoverable locations; the agent had to reconstruct the value proposition from guide language, URL structure, and explicit statement of missing information (e.g., 'I couldn't find any pricing information').
• ›The site is a Next.js SPA that serves mostly boilerplate HTML—actual content is client-rendered, making it poorly navigable for non-browser agents without JavaScript execution; the agent succeeded by guessing logical URL patterns rather than following discoverable links.
• ›The agent explicitly cited /map, /auctions, /guides, /contact, and /property/apartments in its sources section, but these were discovered through directed URL guesses and guide navigation, not from a sitemap, navigation menu, or search results.