Agent successfully gathered comprehensive product understanding from the site, covering what Robofy does, who it serves, pricing, and competitive positioning. Navigation was straightforward for core content, though pricing mechanism (AI credits) and white-label program details required inference or remained partly opaque.

• ›Homepage [1] and pricing page [4] directly supplied all core facts (product capabilities, target markets, pricing tiers, credit system, discount structure). The site published this information in fetchable form without requiring authentication.
• ›Differentiation [5] was site-derived and explicit—the agent extracted direct quotes comparing Robofy to generic competitors ('Most AI Agent vendors hand you a login...') and listed technical advantages (ISO 27001, serverless, open APIs) that were clearly documented.
• ›AI Credits system is structurally opaque on the site itself: pricing page [4] states credits are consumed (~60 per message) and can be topped up, but does not explain how credit consumption varies by agent type, channel, or complexity. Agent flagged this as a gap requiring sales contact.
• ›White-label reseller program is mentioned across multiple pages but no dedicated pricing or feature breakdown page was successfully fetched. Step [2] returned 404 when agent tried /pricing, forcing fallback to homepage re-fetch; white-label costs and inclusions remain unclear from site alone.
• ›Search results [6] added competitive context (Zendesk, Landbot, Tidio as named alternatives) and reinforced Robofy's positioning around white-label + flat-fee model, but were not cited as primary sources in final response—site content sufficed for the core task.