The agent successfully assembled a comprehensive explanation of EnglishTestNow by combining web search results with multiple fetches, but had to work around a JavaScript-heavy website that did not serve readable content in raw HTML form. The site's pricing and feature pages were not directly machine-readable; the agent reconstructed pricing details from search engine cache and inferred features from search result titles and fragments. Critical information gaps remained (add-on pricing, AI methodology, competitor differentiation, user reviews) that the site did not expose in discoverable form.

• ›Steps [1], [2], [6], [7], [8] returned HTML but were heavily JavaScript-rendered (noted as 'truncated, 4400 more chars') and were not directly parseable for content. The agent could not extract pricing, features, or positioning from the actual DOM.
• ›Steps [5], [9], [13] (web searches) returned structured link titles and snippets that contained the actual answers—e.g., search [5] surfaced the /faq, /pte, /ielts URLs and revealed the four-exam positioning; search [9] confirmed pricing page existence; search [13] included pricing snippet text that the agent used to construct the pricing table.
• ›The pricing table in the final response came from search result snippets and prior knowledge, not from the /pricing page fetch [2]. The site publishes pricing but does not expose it in a format the agent could extract from the fetched HTML.
• ›The agent correctly identified missing information: /about returns 404 [3], refund policy page exists but content was not fetched, add-on pricing is mentioned in search results but not detailed anywhere, and no user reviews were discoverable. These are genuine gaps in what the site publishes, not agent error.
• ›The site is discoverable via search (SEO-friendly URL structure, indexed pages) but not agent-native-friendly—it relies on client-side rendering and does not publish machine-readable structured data (JSON-LD, OpenGraph, or equivalent) that would allow an agent to extract pricing, feature matrix, or positioning without search fallback.
• ›The agent cited 8 URLs in the Sources section (all from the site), but only the FAQ, tools, and terms pages were actually fetched as content sources; most answers came from search result inference rather than fetching the linked pages directly.