The agent assembled a comprehensive explanation of pujapurohit.in by relying primarily on web search results and external sources rather than directly traversing the site itself. The site's Next.js client-side rendering architecture returned only HTML shells on direct navigation attempts (steps 1, 3–5 all returned unexecutable markup), forcing the agent to pivot to search-based discovery (steps 7–9, 13–14) and then fetch specific URLs discovered through search results (steps 11–12). The agent succeeded in answering the task—what they do, who it's for, pricing, and differentiation—but had to work around the site's poor machine readability and vague homepage content.

• ›Direct navigation to /pricing, /about, and /services returned 404s or empty client-rendered shells, indicating the site does not publish core information through standard URL patterns or server-rendered HTML that an agent can extract on first visit.
• ›Web search results (steps 7, 8, 9) were substantially more informative than the site itself, surfacing blog post URLs and service pages that did load with content (steps 11–12). The site appears to rely on organic search indexing of blog content rather than clear navigation from the homepage.
• ›Pricing information was not discovered on the site directly but inferred from blog articles mentioning specific ceremony costs (e.g., ₹1,800 for Satyanarayan Katha, ₹31,000 for Narayan Bali). The agent explicitly noted that 'I couldn't find a clearly displayed pricing page on the website itself.'
• ›The homepage HTML (step 1) contained no semantic content or meta descriptions that would allow an agent to understand the service; the agent had to supplement with search queries to build understanding. The site's positioning, value proposition, and differentiation were not machine-readable from the primary entry point.
• ›The agent's final answer relied heavily on prior knowledge and inference (50% from previous artifacts, 33% web search, 17% prior knowledge per fetch sourcing). This suggests the site does not publish structured, agent-friendly information; the agent synthesized an answer by combining fragments from multiple external sources rather than extracting it from a single authoritative document.
• ›Geographic coverage ambiguity was noted—the agent had to piece together that service is limited to ~9 cities, but the site does not publish a clear coverage map or service area on its homepage, requiring navigation to city-specific pages or inference from search results.