The agent assembled a partial but substantial understanding of Swellnet by combining the homepage metadata (steps 1, 3), web search results about pricing and alternatives (steps 12, 15, 17, 19), and the Apple App Store listing (step 21). Direct navigation to key pages (/pricing, /pro, /about, /features) was blocked by 403 errors, forcing heavy reliance on search results and inferred positioning. The agent delivered a coherent explanation of what Swellnet does, who it's for, and how it differs from competitors, but acknowledged gaps in Lite tier details and community features due to inaccessible pricing pages.

• ›The homepage (steps 1, 3) provided only meta tags and title—no substantive content body—because the site is JavaScript-heavy and SSR was minimal or absent. The agent could not extract feature details or pricing from direct page fetch.
• ›Web search results (steps 12, 15, 17, 19) proved more valuable than direct site navigation: search snippets surfaced pricing URLs and competitor comparisons that the agent could not access directly. The agent cited these search result links in its Sources section (https://www.swellnet.com/pricing, https://www.swellnet.com/pro/subscribe/chooseplan), even though fetching those URLs returned 403 errors.
• ›The App Store listing (step 21) was accessible and likely contained feature descriptions in its page body, but the agent did not extract detailed text from it—it appears to have been used as a source reference rather than mined for content.
• ›The agent inferred Swellnet's positioning (independent, family-owned, Australian-focused, alternative to Surfline) from search result titles and competitor comparison articles (steps 15, 17) rather than from Swellnet's own marketing pages, which remained inaccessible.
• ›The site's navigation is not agent-friendly: core pages are either blocked or JavaScript-dependent, forcing reliance on external sources (search results, app stores, third-party reviews) to answer a straightforward discovery-evaluation task.