The agent successfully assembled a comprehensive overview of Vivid Seats by combining homepage metadata, support articles, blog content, and seller documentation—working around a single-page React architecture that provides minimal navigable structure. The site's pricing and business model information required heavy reliance on web search and support portal digging rather than direct, accessible documentation on the main domain.

• ›Step [1] (homepage) provided only metadata (title, description, keywords) but no substantive content about pricing, fees, or business model—the agent had to infer from meta tags that it was a ticket marketplace.
• ›Steps [10] and [13] (support articles on fees and pricing) were the primary content sources for answering the pricing question, but these required web search discovery; they were not linked from or navigable from the main site.
• ›Step [9] (blog post on 'all-in pricing') was the only main-domain source with detailed pricing philosophy, and it had to be found via web search rather than site navigation.
• ›Step [15] (seller overview page) existed but was accessible only through search; traditional navigation paths like /about, /help, /pricing returned 404s (steps [3-5]), indicating poor site structure for agent discoverability.
• ›The agent successfully cited its sources but relied heavily on prior knowledge and web search (88% combined) because the site itself did not publish pricing, competitor comparison, or business model information in an easily crawlable form.
• ›Critical information about fees (20-40% markup, 10% seller commission, all-in pricing model) came entirely from support portal and blog, not from primary site pages, indicating the main domain is underutilized for foundational product education.