The agent successfully assembled a comprehensive explanation of Spokira by combining fetches from the site's comparison pages, about page, and pricing page with web search results that surfaced competitor comparisons and feature details. The site's HTML was heavily compressed and not directly readable, forcing the agent to rely on search result snippets and prior knowledge to construct most of the answer; however, the agent did cite six sources, indicating successful discovery of key pages even if their content wasn't fully machine-readable.

• ›The homepage and pricing pages returned 200 responses but with heavily minified Next.js output that made content extraction difficult; the agent's final answer drew mostly from web search snippets and prior knowledge rather than direct page content.
• ›The site's comparison pages (/compare/duolingo, /compare/parle, /compare/speechling) were discoverable and linked from search results, providing the differentiation content; these comparisons appear to be a primary surface for positioning relative to competitors.
• ›The About page was accessible but the agent could not extract detailed information about the founders or business model from the raw HTML response, limiting what it could report on company structure and sustainability.
• ›Web search was critical: search results revealed the existence of comparison pages, pricing tiers (€9/month), and positioning language (A2-B1 learners, shadowing + phoneme feedback) that the raw site fetches did not expose in readable form.
• ›The agent correctly identified gaps it could not bridge: no clear permanent free tier visibility, unclear mobile app status, business model opacity, and expansion timeline ambiguity—demonstrating honest acknowledgment of limits rather than hallucination.