The agent successfully assembled a comprehensive profile of Notkode from repeated fetches of the homepage, extracting their service model, customer base, pricing approach, and differentiation. The site was navigable but repetitive—the agent typed the homepage URL from memory four times rather than discovering new pages via links, suggesting the site surface does not expose navigational paths to deeper detail pages or secondary content.

• ›All content-bearing steps (1, 3, 4, 6) fetched the same URL (notkode.com.br/) typed from memory, not discovered via site navigation. The agent explicitly re-fetched the homepage instead of following internal links, indicating the homepage consolidates most information and the site lacks discoverable subpages.
• ›Pricing information is deliberately obscured: the site states custom quotation via WhatsApp but provides no ranges, tiers, or minimums. The agent accurately reported this absence rather than inferring pricing from model memory.
• ›The case study (Loss Prevention, R$300k/month revenue, 100% auditable pipeline) is the only quantified outcome on the site; the agent correctly cited this as the sole measurable success metric, not generalizing to other clients.
• ›The agent noted but could not resolve a gap: no explicit competitive comparison or explanation of how Notkode differs from traditional consulting or custom software firms—only positioning against generic AI tools. This limitation is grounded in site content absence, not model inference.
• ›The site uses Portuguese language and cultural context (WhatsApp contact, Brazilian real pricing, regional client base) seamlessly; the agent translated and contextualized without error, indicating the site was readable but not optimized for agent discovery (no English version, no structured data, no API or sitemap suggested).