The agent successfully assembled a comprehensive explanation of SonarCloud by combining web search results and documentation fetches, since the official website pages returned React-rendered HTML that did not expose readable content. The agent had to work around the site's poor machine-readability by relying on third-party review sites (Capterra, Front Desk Review), comparison pages (StackShare), and documentation to answer what SonarCloud does, who it's for, how it's priced, and how it differs from alternatives. The official site itself was navigable for humans but not agent-friendly.

• ›Steps [1]–[7] fetched official SonarCloud and SonarSource pages but returned only React boilerplate HTML with no readable content, forcing the agent to pivot to web search as the actual source of answers.
• ›Steps [9], [10], [11] (web searches) returned snippets and links to third-party review aggregators (Capterra, Front Desk Review, G2, StackShare) and official documentation URLs; these search results themselves contained enough metadata to inform the agent, making search the primary discovery layer.
• ›Steps [13] (comparison page) and [14] (pricing documentation) were fetched directly from URLs found in search results, but both returned truncated React HTML; the agent's final answer relied on search result summaries rather than the actual page content.
• ›The agent explicitly cited 8 sources in its final response, all derived from search results [9]–[11] or their outbound links, indicating that web search was the only content-bearing channel; the official site itself contributed zero readable content.
• ›Naming inconsistency ('SonarCloud' vs. 'SonarQube Cloud') and unclear feature tier differentiation were correctly flagged by the agent as confusing, even though the agent could not verify these directly from the source site—suggesting the agent inferred these gaps from fragmented search results.
• ›The agent's final answer is well-structured and factually accurate (pricing tiers, language support, differentiators vs. competitors) but was entirely reconstructed from web search and third-party sources, not from the official website's native content.