The agent successfully built a comprehensive explanation of Mont by assembling information from the App Store listing and search results, but mont.app itself was not navigable—direct fetches returned only minimal headers with no usable content, forcing the agent to rely entirely on third-party sources.

• ›mont.app's web presence is essentially empty: three direct fetches ([1], [3], [4], [5]) returned only 'Mont Capital' headers with no descriptive content, making the primary domain unsuitable as a source for this task.
• ›All substantive content came from the App Store listing ([9]) and search results ([13]); the agent successfully cited both App Store and PsyFi blog sources, establishing that it pulled factual product data from external repositories rather than the company's own site.
• ›The agent correctly identified its own knowledge boundary—it disclosed that it 'couldn't find detailed competitive positioning docs or case studies directly on their site' and that 'mont.app website itself was surprisingly sparse'—demonstrating awareness of site-sourcing gaps rather than hallucinating content.
• ›Search-driven discovery ([7], [11], [13]) was necessary because the primary domain offered no navigation to key information; the agent pivoted to web search as the only viable path to answer the task, achieving coverage of pricing, features, and positioning without on-site sources.
• ›The final answer is accurate and complete for the task scope (what, who, pricing, differentiation), but it is entirely reconstructed from third-party data; the agent could not claim any substantive answer came from mont.app itself.