The agent successfully gathered core information about FOMO's business model, pricing, and target market by fetching the homepage and pricing page. The site was minimally navigable—many intuited URLs (services, agents, contact pages) returned 404s—but the homepage and pricing page contained enough explicit detail to answer most of the task, though competitor comparisons and consulting/training costs remained unavailable.

• ›Steps [1] and [3] (both homepage fetches) returned substantive content on services, target industries, and use cases without explicit prompting—the agent extracted answers from the same homepage by re-fetching, suggesting the page contains rich content but no clear internal navigation to separate sections.
• ›Step [10] (pricing page) was the only subpage successfully fetched; it provided transparent, structured pricing for the AI employee subscription tiers ($299–$1,099/month + setup), but the agent had to guess the URL (/es/planes) rather than being routed there from the homepage navigation returned in step [9].
• ›The agent identified gaps (no competitor comparisons, no consulting/training pricing, no ROI case studies) but grounded these as absences in the site content, not model memory—correctly distinguishing unfound information from unsourced claims.
• ›Several 404 failures (steps [2], [4], [5], [6], [7]) for intuited URLs like /pricing, /agentes, /servicios, /contacto suggest the site has a limited surface or uses unconventional routing, forcing the agent to rely on re-fetching the homepage and blind URL guessing rather than internal discovery.
• ›Currency inconsistency (USD pricing on .com.ar domain) and minimal pricing transparency for consulting/training were flagged by the agent as confusing, but these observations reflect the site's actual state rather than model gap-filling.