The agent partially understood Cocunat by assembling information from web search results and prior knowledge, since the site's own HTML fetches were truncated and unreadable. It correctly identified Cocunat as a toxic-free, vegan cosmetics brand with a subscription club model, but could not access or verify specific pricing, product details, or competitive positioning directly from the website itself. The site proved difficult for machine-readable extraction, forcing reliance on third-party sources (ZoomInfo, LinkedIn, Similarweb) rather than first-party content.

• ›Steps [1], [2], [4] fetched the homepage but returned truncated HTML that stopped mid-script without rendering readable content—the agent could extract only that a Go API and Shopify integration exist, not the actual marketing copy, product catalog, or pricing structure.
• ›The agent's understanding of what Cocunat does, its pricing (Club Basic/Plus/Elite, $40 entry), and competitive positioning came entirely from web search results [3, 7, 9] (ZoomInfo, LinkedIn, Similarweb, StudentBeans)—none from the official website's own pages.
• ›Step [5] returned a 404 when attempting /en-int/products, confirming the site's URL structure is not predictable for product discovery; the agent had no way to navigate the catalog or pricing from the homepage alone.
• ›The agent explicitly flagged in its response that specific monthly membership costs, detailed product examples, and explicit competitive differentiation 'weren't accessible' or were 'partially cut off during my fetch'—a clear sign the website does not expose this information in a machine-readable or fetch-friendly way.
• ›The site appears to rely on client-side rendering (Astro framework) with API calls to https://go-api.cocunat.com, making static HTML scraping ineffective; an agent cannot interpret the page without executing JavaScript.