The agent successfully understood GW Homes' core positioning, pricing structure, and competitive advantages by fetching the homepage, communities page, energy efficiency page, and testimonials. The site exposed its key differentiators (luxury-included-standard, energy efficiency, smart home tech) in dedicated pages, but the agent had to guess at several URLs and still hit multiple dead-ends (/pricing, /about, /floor-plans, /why-gw-homes).

• ›The homepage and /communities pages contained the core information needed to answer what they do, who it's for, and how they're priced—all fetched by following site navigation or typing known URLs from model memory. The site did not require deep crawling to surface primary facts.
• ›The /energy-efficiency page was discovered by typed URL (not surfaced by navigation), revealing the key differentiation claims (50% energy savings, luxury-standard features, 5-7 elevation styles, smart home integration). This suggests the agent had to infer or remember the likely URL structure rather than being led there by the site.
• ›Four intentional probes returned 404 (pricing, about, floor-plans, why-gw-homes), indicating the site lacks several expected landing pages that would have organized information for agents. The agent worked around this by assembling answers from homepage and specialty pages.
• ›Testimonials page was also discovered by typed URL memory, not site navigation, and provided essential voice on customer satisfaction, quality, and process. Its absence from navigation limits discoverability.
• ›The final answer includes a 'What I Couldn't Find' section that honestly flags financing, detailed floor plans, competitor comparisons, construction timelines, and warranty details—none of which the site published or made fetchable, confirming gaps in machine-ready information architecture.