The agent assembled a reasonably complete picture of PROARTE World by combining fragments from the main website, a separate Shopify store subdomain, and web search results — but the site's fragmented architecture and heavy reliance on JavaScript made direct product discovery difficult. The agent successfully answered what PROARTE does, who it serves, rough pricing, and key differentiators, but had to work around multiple 404s and missing content on the primary domain.

• ›Steps [1], [4], [8] fetched pages from proarteworld.com (homepage, about, shop) successfully but returned heavily JavaScript-dependent HTML that the agent could not fully parse for concrete details; the actual product catalog was inaccessible via /products and /collections (404s at [3], [5]).
• ›Step [15] discovered a separate Shopify store at shop.proarteworld.com/products that was live and returned content, suggesting the brand splits marketing (Next.js main site) from transactional (Shopify store) infrastructure — a confusing dual-site architecture that the agent correctly flagged.
• ›Steps [11], [16], [18] used web search to fill critical gaps: search results surfaced Amazon India, Myntra, and Flipkart product listings; pricing in rupees; and the parent company (SSIZ International) — none of this information was readily accessible from the main domain itself.
• ›The agent had to rely on prior knowledge (20%) and web search (10%) for 30% of its sources because the main site's product pages were either 404s or unreadable JavaScript bundles; 70% came from previous artifact (likely from search result snippets and the Shopify store fetch).
• ›The site does publish a cruelty-free positioning and mentions SSIZ backing on the about page, but offers no structured data (schema.org), no pricing table, no comparison content, and no B2B/wholesale information — forcing the agent to infer positioning from search results rather than read it from the site.