The agent gathered a complete high-level overview of Chattigo by fetching the main website (Spanish and English homepages) and the pricing page, supplemented by web search results. The site's pricing was not prominently published in a machine-readable format on the login subdomain or main marketing pages—the agent had to either guess at URLs or rely on third-party aggregator data, making discovery moderately friction-prone despite eventual success.

• ›Steps [3] and [5] (homepages) returned WordPress-rendered HTML with company description, positioning, and target market, but no concrete pricing or feature details. Step [13] (pricing page) returned the structured pricing table but required the agent to first discover the correct URL path (/en/plans-and-prices/) via web search, since direct guesses ([7]) failed with 404.
• ›The login.chattigo.com subdomain ([1]) is a pure single-page application shell with no content—it's a router, not an information source. All useful content came from the main domain (chattigo.com), requiring the agent to infer the relationship and navigate away.
• ›Pricing details were only accessible after web search surfaced the correct URL; the site did not expose a clear, discoverable pricing link from the homepage in standard locations. Feature comparisons, AI capabilities, and differentiation required third-party review aggregators (GetApp, Capterra, ControlHippo) rather than primary sources.