The agent successfully assembled a comprehensive explanation of Macaly by combining sparse, HTML-heavy site fetches with web search results and third-party review sites. The marketing site itself (homepage, pricing, blog) returned minimal extractable text; the agent relied heavily on web search snippets and external review sites (goodvibecode.com, G2, Capterra, ProductHunt) to answer what Macaly does, who it's for, how it's priced, and how it differs from alternatives. The site proved difficult to parse directly—key pages returned truncated HTML with little rendered content visible in the responses—forcing the agent to work around missing structured data and rely on prior knowledge (63%) and web search (13%).

• ›Steps [1], [3], [8] (homepage, pricing, blog) returned full HTML pages but heavily truncated responses showing no usable text content in the fetches—the agent could not extract pricing details, feature lists, or positioning directly from the site's own pages.
• ›Steps [4], [5], [7] (attempts to fetch /features, /about, /help) all returned 404s, indicating the site's information architecture does not expose these common discovery pages; the agent had to improvise.
• ›Step [6] (/docs) returned successfully but also truncated; the agent did not cite this fetch as a source, suggesting the documentation HTML was also not readily parseable.
• ›Steps [10], [12], [13], [15], [16], [18] (web searches) returned link lists with titles and snippets—these snippets and the URLs themselves became the primary sources for understanding Macaly's positioning, pricing tiers, and differentiators.
• ›Step [19] (fetch of goodvibecode.com review) was the only successful off-site fetch; the agent cited this site in sources but the response was also truncated, indicating the agent reconstructed detail from search result titles and descriptions rather than full page content.
• ›The agent explicitly called out missing information (AI credit system definition, plan comparison tables, enterprise pricing, use case examples, performance details, data export options)—all gaps that suggest the marketing site does not surface these details in a machine-readable or easily discoverable way.
• ›The agent's final answer cites 10 sources, only 2 of which are from macaly.com itself (homepage, pricing, docs, 2.0 launch); 8 are external (G2, Capterra, ProductHunt, reviews, comparison sites)—indicating the site delegated its own explanation to third parties rather than publishing it directly.