The agent successfully assembled a comprehensive overview of toyota.com.au by combining direct site exploration, web search results, and prior knowledge. It identified the site's core functions (vehicle browsing, pricing tools, dealer locator, owner services, KINTO rental, connected vehicle tech), target audiences, financing model, and competitive positioning. However, the site proved somewhat resistant to transparent information discovery—pricing is deliberately obfuscated behind dealer redirection, the site architecture is inconsistent (mixing Angular and Next.js), and several services (Toyota Go, used vehicles, insurance) are either missing or poorly surfaced. The agent worked around these gaps by citing specific model pages and services it successfully located, acknowledging what it could not find.

• ›Homepage (step [1]) confirmed the brand positioning but didn't provide structured pricing or detailed service info—the agent had to hunt for category pages (/cars, /suvs, /finance, /kinto) through direct URL guessing and web search, with multiple 404s (steps [3–5], [8–9], [11], [15], [22]).
• ›Pricing pages (step [26] search result, implicitly steps [16] onward) were only discoverable via search query results pointing to model-specific pricing URLs (e.g., /corolla/prices, /yaris/prices)—not linked from a central /pricing page. This forced the agent to rely on web search rather than site navigation.
• ›Key content came from pages the agent successfully fetched: /cars (step [7]), /suvs (step [10]), /find-a-dealer (step [12]), /finance (step [14]), /corolla (step [16]), /owners (step [20]), /connected (step [21]), /support (step [24]), and /kinto (step [25])—most discovered via prior knowledge guesses rather than surfaced navigation.
• ›The site uses inconsistent technical architectures (Angular-based 404 responses vs. Next.js-based 200 responses), making URL patterns unreliable. Traditional site structure paths (/about, /vehicles, /pricing, /offers, /utes) returned 404s, suggesting a heavily client-side or deeply nested structure not publicly documented.
• ›Web search (steps [18], [26], [27]) provided critical context—competitor information, market position, and model-specific pricing URLs—indicating the site's own information architecture does not expose these relationships directly.
• ›The agent explicitly called out what it could NOT find: actual prices (site redirects to dealers), Toyota Go membership, used vehicle inventory, specific financing rates, and clear insurance integration—these gaps were honest observations grounded in failed navigation attempts (steps [15], [22]) and the content it did retrieve.
• ›Cited sources (final response) include fetched pages (steps [1], [12], [14], [20], [21], [24], [25]) and external search results, not a unified site information architecture—the agent had to assemble the answer from fragments.