The agent could not extract complete information from totem.travel's own website due to its JavaScript-heavy architecture and missing public documentation, so it assembled a partial answer by searching for external references, competitor comparisons, and inferred positioning. The site itself was not navigable for the task—pricing pages, features pages, and about pages either returned 404s or served only skeleton HTML without content, forcing the agent to rely on web search results and prior knowledge to explain what Totem does and who it's for, while acknowledging that exact pricing, detailed features, and company background remain unavailable.

• ›Fetches [1], [3], [4], [5] from totem.travel returned only Next.js boilerplate HTML with no usable content; the site does not serve rendered content server-side, making it opaque to fetch-based navigation. The /pricing, /features, and /about routes either 404 or return empty shells.
• ›All substantive information in the final response came from web search results ([7], [8], [11], [15], [16], [18], [19]), which surfaced competitor comparisons, industry articles, and external references—not from totem.travel itself. The agent had to infer Totem's positioning and capabilities by contextualizing it against Wetu, Tourplan, and Odys.
• ›The meta description tag from [1] provided one key insight ('priced on the enquiry volume you run'), but the actual pricing page [3] served no usable content. The agent explicitly flagged this as a critical gap: 'The pricing page exists, but the actual plan details aren't publicly visible.'
• ›The agent correctly identified a naming collision: search results conflated totem.travel (AI tool) with Totem Travel (a wedding/travel agency in Kirkland, WA), requiring disambiguation.
• ›The site is not agent-ready for discovery or identity tasks: it does not publish structured metadata, machine-readable pricing, feature comparisons, or company information in a form a fetch-based agent can consume. Reliance on web search (60% of sources) and prior knowledge (20%) indicates the site's own documentation is insufficient.