The agent successfully assembled a comprehensive explanation of Waplify by combining content from the site's core pages (homepage, pricing, features) with web search results and external third-party comparisons. The site itself is moderately navigable for discovery—key pages exist and are reachable—but pricing details were truncated in the HTML fetches, forcing the agent to rely on search results and prior knowledge to fill critical gaps. The final answer is substantively complete but required heavy bridging work to clarify the separation between platform costs and Meta message charges, which the site doesn't emphasize clearly in its primary pages.

• ›Steps [1], [2], [3] returned usable homepage, pricing, and features pages, but the HTML responses were truncated (4400 char cuts), preventing full extraction of pricing tables and feature details from source alone.
• ›Step [8] (India WhatsApp Marketing comparison article) and step [11] (pricing guide blog post) were the most content-rich on-site sources for understanding pricing structure and competitive positioning—both discovered via web search, not direct site navigation.
• ›Step [14] (docs.waplify.io help center) was fetched but not cited or relied upon in the final answer, suggesting either truncation or that documentation didn't add incremental clarity beyond what was already gathered.
• ›The agent encountered two 404s ([6] /about, [9] /faq), signaling missing standard information pages that would normally clarify company background and FAQs; this forced reliance on inferred positioning from marketing copy and comparisons.
• ›Pricing specifics (₹2,997 quarterly, ₹9,999 lifetime, per-message rates) do not appear in the citation list's URLs but are stated in the final answer—these came from web search results or prior knowledge, not from the primary pricing page fetch.
• ›The agent correctly identified and flagged several communication gaps on the site: no free trial visibility, unclear separation of platform vs. message costs, and no formal company 'about' section—all legitimate confusions stemming from the site's information architecture.