The agent assembled a comprehensive overview of FGS Global by combining direct site fetches with web search results, since the site's JavaScript-heavy architecture made most pages inaccessible. The final answer drew primarily from search results and external sources rather than readable content from fgsglobal.com itself; the site's actual pages were successfully fetched but returned truncated or unreadable HTML.

• ›Steps [10], [11], and [17] (What We Do, About Us, Crisis & Issues Management pages) returned 200 status codes but all delivered truncated HTML without readable text content—the agent could not extract information directly from these pages despite successful HTTP responses.
• ›The agent relied heavily on web search results ([7], [13], [14], [16], [19]) and prior knowledge to answer questions about what FGS Global does, who it serves, and how it differs from competitors. Search result snippets and third-party sources (Wikipedia, Chambers, business review sites, PitchBook) provided the substance of the answer; the site itself did not.
• ›Pricing information was unavailable on the site; the agent correctly identified this gap and reported it, explaining that FGS Global uses custom enterprise pricing without public rate cards—a finding supported by absence of data rather than by site content.
• ›The site's architecture (Next.js with client-side rendering and dynamic content loading) made it non-navigable for static fetching; standard /about, /pricing, /solutions paths returned 404s, and populated pages rendered only CSS/JS boilerplate, not structured content.
• ›The agent successfully completed the discovery task despite poor site navigability by pivoting to search and external intelligence; the final response is detailed and correct, but grounded in sources outside the domain itself.