The agent gathered substantial but incomplete information about Dedicate-IT by combining web search results with failed direct fetches of the site itself. The site's client-side rendering prevented the agent from accessing full page content through HTTP, forcing reliance on search engine snippets and prior knowledge to piece together what the company does, who it serves, and how it positions itself. Pricing information remained inaccessible throughout—the site appears to intentionally hide this behind a contact form rather than publishing it.

• ›Search results [9, 14, 19, 20, 22, 23] contained the substantive answers (service offerings, target market, geographic focus, account manager model, UniFi specialization). The search snippet titles and URLs themselves carried the information—e.g., step [19] returned URLs like 'Beveiligingscamera laten installeren | UniFi Protect specialist' and step [14] revealed 'Professioneel Netwerkbeheer voor bedrijven | Dedicate-IT', which directly exposed service types.
• ›Direct page fetches [1, 3, 5, 6, 7, 16, 17] all returned truncated Next.js boilerplate HTML with no rendered content visible—the site renders client-side and does not serve SEO-friendly static HTML. The agent had to infer content from search engine crawls rather than directly fetching the pages.
• ›Pricing was explicitly absent: no page fetch or search result returned pricing details. The agent correctly identified this as intentional (contact-for-quote model) based on the contact page URL appearing repeatedly without pricing data attached. The site is not designed to be machine-readable for pricing—it requires human interaction.
• ›The agent relied heavily on search result titles and URLs as a proxy for page content, since the HTML itself was unusable. This is a fragile discovery mechanism—it depends on Google/search engines having crawled and indexed the site's real content, which they may or may not have done for all pages.
• ›Service area, founding year ('2002'), and positioning (personal contact, no call centers, UniFi specialists) emerged from search snippets, not from the site's direct HTML. These details required prior knowledge or search engine indexing to surface.