The agent assembled a reasonably complete understanding of VisaGyan by combining HTML pages, a JSON feed, markdown articles, and an LLM-specific text guide, though the site's architecture made it difficult to access core pages in navigable form. The agent successfully answered what VisaGyan does, who it serves, and its differentiation, but could not find explicit pricing information because the site does not appear to offer paid tiers—leaving a gap in the task requirements.

• ›Steps [1] and [3] returned HTML rendered by Next.js but the markup was truncated and unreadable; the agent could not extract content from these—they were navigation probes, not content-bearing.
• ›Step [21] (feed.json) was the first content-bearing fetch and provided the site's mission statement directly: 'helping Indian citizens travel with fewer barriers.' This feed also exposed article titles and URLs that guided subsequent fetches.
• ›Steps [27] and [45] (markdown article fetches) returned readable, well-structured content with publication dates, authors, and official source citations—these demonstrated the site's core editorial offering and depth of verification.
• ›Step [41] (llms.txt) was critical: it was explicitly designed for LLM consumption and contained a structured summary of VisaGyan's legal operator, audience, coverage areas, and positioning—this was the most agent-ready resource on the site.
• ›The agent guessed at standard URL patterns (/pricing, /blog, /countries, /faq, /about) and encountered 404s; these routes either don't exist or are not exposed in the sitemap, indicating either a sparse site structure or dynamic routing that doesn't surface common entry points.
• ›Pricing information was never found. The llms.txt guide explicitly states the service is free ('no subscription or membership model'), but this was not discoverable by navigating the public site—it required reading the machine guide.
• ›The site's architecture is hostile to HTML parsing (Next.js rendering with truncated responses) but friendly to JSON/markdown/plain-text formats, suggesting the site was optimized for machine readers (feeds, markdown, llms.txt) over human-readable HTML pages.
• ›Web searches for 'VisaGyan' yielded unrelated results (Indian visa sites, competitor platforms), confirming the site has minimal SEO or external press visibility—discovery depends on direct navigation or the llms.txt guide.