The agent successfully assembled a complete understanding of Treexy's business by combining direct site exploration with web search fallbacks. The homepage and product pages provided positioning and core features, while the store and FAQ pages offered pricing hints and comparison context. However, the site's HTML responses were truncated (likely rendering issues), forcing the agent to work around incomplete page loads and infer pricing details from search results rather than extracting them directly from Treexy's own pages.

• ›Step [1] (homepage) and step [3] (Driver Fusion product page) established what Treexy does and its core features (driver update, backup, monitoring), but the HTML was cut off mid-page, limiting what the agent could extract about feature depth.
• ›Step [7] (store page) was discoverable via search results and confirmed a freemium model exists, but again truncated responses prevented full pricing visibility. Step [8] (FAQ) was similarly incomplete, serving compressed/truncated HTML.
• ›Pricing details (€24.99/year, €37.99, €49.99) came entirely from web search snippets in step [6], NOT from Treexy's own `/pricing` endpoint, which redirected to the homepage (step [4]). The agent had to work around a missing/broken pricing page.
• ›Step [11] (comparison page) was cited as a source for differentiation claims but also served truncated content, so the agent relied partly on its knowledge of Driver Fusion competitors mentioned in meta descriptions rather than full comparison tables.
• ›The site is poorly agent-ready: truncated HTML responses, a non-functional pricing page, and no structured pricing data (JSON-LD, schema.org) meant the agent had to synthesize information across multiple partial sources and lean on web search to fill gaps.