The agent assembled a partial but incomplete picture of MobileIndex by combining web search results, PDFs, and a Korean-language landing page. The main www.mobileindex.com website is a JavaScript-heavy single-page app that does not render content in static HTML, forcing the agent to rely on external sources (IGAWorks corporate site, hd.mobileindex.com subdomain, and web search snippets) to answer the task. Critical information—exact pricing, feature tiers, and trial availability—remained inaccessible because the site does not publish this information in a machine-readable form, requiring direct sales contact instead.

• ›Step [9] (hd.mobileindex.com/dmp-intro) returned Korean-language marketing copy describing MobileIndex as a 'DMP-based Usage Intelligence service,' which anchored the agent's understanding of the core product category.
• ›Step [10] (PDF intro document) confirmed DMP positioning and market coverage (65% Korean coverage) but was machine-extracted and difficult to parse for specific feature matrices or pricing.
• ›Step [15] (IGAWorks corporate page) was the most useful content-bearing fetch, explicitly describing MobileIndex as part of a broader digital marketing suite and confirming IGAWorks ownership—this became a primary source for 'who it's for' and positioning.
• ›Steps [27] and [32] (hd.mobileindex.com/rank and /price) returned pages with identical truncated HTML that does not render visible content in the fetch response—pricing information is dynamically loaded via JavaScript and was not accessible to the agent.
• ›The main domain www.mobileindex.com (steps [3], [5], [6], [12], [26]) returned identical truncated HTML for all paths, indicating a React SPA that requires JavaScript execution; the agent could not extract any content-bearing information from this property.
• ›Exact pricing (step [25], [30], [34] searches) could not be confirmed; the agent had to disclose that 'specific subscription amounts in KRW were not publicly disclosed' and infer a freemium model from external review sites rather than official sources.
• ›The agent was forced to source ~50% of its answer from web search results and prior knowledge rather than from the official site itself, indicating poor machine-readability of the product domain.