The agent successfully extracted Agent2GO's core positioning, two-tier product structure, pricing, and differentiation from the homepage and Pro subpage, but had to acknowledge significant gaps: standard Agent2GO pricing is unpublished, the product is pre-launch, and the site has minimal navigation structure (most assumed pages returned 404s). The site was navigable but sparse—only two pages returned content, requiring the agent to assemble a complete picture from limited material.

• ›Only 3 of 9 fetch attempts succeeded (steps 0, 6, 8); 6 returned 404s on standard URLs like /pricing, /features, /about, /faq. The site appears intentionally minimal with a waitlist-focused design rather than comprehensive documentation.
• ›Step [0] and [6] (both homepage fetches) provided the foundational product descriptions, differentiation messaging, and pricing hints; step [8] (/pro) supplied the only detailed product specification (three agent types, €30/month, self-hosted infrastructure). These two pages carry nearly all the content-bearing material.
• ›Pricing information was partial and asymmetric: Agent2GO Pro has a concrete floor (€30/month), but standard Agent2GO pricing is explicitly 'TBD' with only a waitlist incentive ('first 30 companies'). The agent had to flag this absence rather than infer.
• ›The agent correctly identified that autonomous task execution (vs. reactive ChatGPT-like prompting) is the core positioning differentiation, and that Dutch data sovereignty is a secondary differentiator. Both claims derive directly from homepage messaging in step [0] and [6].
• ›Navigation gaps forced the agent to rely on model reasoning to identify what *should* be present (/pricing, /features, /about, /faq) and to call out the absence as confusing—a sign that the site structure does not self-surface its own information hierarchy.