The agent assembled a coherent explanation of Cheetah AI's purpose, target audience, and differentiation by combining fragments from the homepage, features page, blog posts, and third-party review sites, but could not retrieve exact pricing because the pricing page and documentation were not accessible in machine-readable form. The site is poorly navigable for agents: it relies on client-side rendering (blocking HTML scraping), key pages return 404s, and pricing information was never retrieved despite multiple attempts.

• ›Step [1] (homepage) and step [5] (features page) returned only boilerplate HTML shells with no visible content—the site is a Next.js SPA with JavaScript-rendered content that the agent could not parse. Actual information came from search results and third-party summaries, not the site itself.
• ›Step [3] (pricing page) and step [12] (documentation) both returned 404s or empty shells, leaving the agent unable to answer the user's explicit request for pricing details. The agent had to note this gap candidly rather than invent pricing.
• ›Steps [4], [7], [8], [15], [18], [19] (web searches) were the primary content sources. The agent assembled the narrative from search snippets and third-party review sites (Groupify, Medium articles) rather than from cheetahai.co's own pages. This indicates the site does not publish structured, agent-readable information on its own domain.
• ›Step [9] (Groupify AI review page) and step [16] (affiliate page) were the only direct fetches that returned usable HTML content, but these required the agent to guess URLs outside the obvious information architecture.
• ›The agent correctly cited sources in the final response, but all citations point to cheetahai.co URLs that either returned empty shells (homepage, features, pricing) or 404s (documentation). This creates a false impression of retrievability—the URLs are real, but the content was not actually accessible to the agent.
• ›The site exposes almost no machine-readable metadata (no JSON-LD, no microdata, no llms.txt). The agent had to rely on prior knowledge (25% of sources) and web search (63%) rather than the site's own published content.