The agent successfully assembled a comprehensive overview of Rhino Pest Management by relying heavily on machine-readable markdown files (llms.txt and llms-full.txt) that the site explicitly publishes for LLM consumption, supplemented by partial HTML page fetches. The site is moderately navigable but delegates most substantive content to those markdown artifacts; pricing remained opaque despite multiple attempts because the company intentionally does not publish rates online.

• ›Steps [5] and [9] (llms.txt and llms-full.txt) were the primary content sources; they contained structured summaries of services, plans, licensing, service areas, and differentiation. The agent discovered these via prior knowledge / direct guessing, not by following discoverable links from the homepage.
• ›Step [10] (home-protection-plans page) returned mostly CSS/styling code and did not contain the actual plan comparison details—those were only available in the markdown artifact from step [9], indicating the site's visual pages are not fully agent-parseable even when the topic is relevant.
• ›The site explicitly lacks a `/pricing` page (step [2] returned 404) and does not publish price ranges or plan costs anywhere in the fetched content. The agent had to report this gap candidly as a 'confusing or missing' element, which accurately reflects the user's task to identify what couldn't be found.
• ›The agent's final answer was almost entirely grounded in steps [5] and [9]—the markdown knowledge-base files. The HTML page fetches (steps [1], [3], [6], [10]) contributed minimal structured content and served mainly as navigation verification and artifact discovery pointers.
• ›The site's agent-readiness is asymmetric: it provides excellent machine-readable summaries in llms.txt/llms-full.txt but relies on those as the primary content layer, leaving the HTML web pages light on actionable detail. This forced the agent to guess the URL pattern for llms-full.txt rather than discover it from a documented link.