The agent assembled a comprehensive understanding of Spiralis Europe through heavy reliance on web search results and prior knowledge rather than direct site content. While it successfully answered the core questions about what they do, who they serve, and how they differ, it explicitly failed to find public pricing information—identifying this as a key gap. The website itself was poorly agent-readable: JavaScript-heavy, sparse in accessible content, and navigation was obscured, forcing the agent to discover pages primarily through search results rather than site structure.

• ›Direct site fetches (steps 1, 3, 7, 11, 12) returned heavily obfuscated HTML dominated by JavaScript loader scripts with minimal readable content; the agent could not extract substance from these responses alone.
• ›Core answers came from web search results (steps 9, 10, 14, 15, 17, 19, 20, 21, 22, 23, 24, 25) which surfaced URL titles and snippets indicating service categories (partitions, acoustic, furniture, about-us pages), but the agent had to fetch those URLs afterward to confirm content—a two-hop pattern indicating poor surface-level content indexing.
• ›Pricing information was completely absent from public web pages; the agent found a reference to a PDF price list in search results (step 14) but could not access it (step 16 failed with HTTPS error, step 18 returned 404), demonstrating intentional or accidental gatekeeping of commercial terms.
• ›Navigation structure was not discoverable from the homepage or obvious URL patterns; standard guesses like /pricing (404, step 2) and /features (404, step 4) failed, and the agent had to rely on search results to learn about pages like /about-us, /what-we-do, and /partitions.
• ›The agent cited 8 URLs explicitly in its final sources list, all of which appear to have been discovered via web search rather than surfaced by the site's own information architecture (no breadcrumb trails, sitemaps, or clear navigation menus visible in the fetched HTML).
• ›Prior knowledge contributed 42% of the agent's information sources, suggesting the agent synthesized company positioning from general knowledge of the commercial interiors sector rather than extracting it cleanly from the website.