The agent successfully gathered comprehensive information about WordPress.com by fetching the site's pricing page, features page, and support documentation directly, supplemented by web search results that filled gaps on plan details and competitive differentiation. The site's core pages were navigable and contained structured information, but exact current pricing and some feature-level details required external sources or prior knowledge to assemble into a coherent explanation.

• ›Steps [2] (pricing), [4] (features), [8] (plan-features support doc), and [10] (com-vs-org comparison) were all directly cited in the final response's source list and returned HTML containing the substantive answers about pricing tiers, feature differentiation, and WordPress.com's positioning versus WordPress.org.
• ›The agent could not extract exact current pricing from the fetched pages alone—pricing varied across sources ($4–9 for Personal, $8–18 for Premium, $25–40 for Business, $45–70 for Commerce), suggesting the site either gates price details behind JavaScript rendering, uses dynamic pricing, or the agent accessed cached/partial HTML. The agent relied on web search results (steps [6], [12], [14]) to populate the pricing table and acknowledge this ambiguity.
• ›WordPress.com's own support documentation (step [10]) clearly explained the com-vs-org distinction, indicating the site is agent-aware for this key differentiator question. However, the agent noted several gaps it could not close: exact free-plan storage limits, migration process details, and specific support SLAs—these were not exposed in the fetched content and were not found via web search.
• ›The agent's use of prior knowledge (29%) and web search (29%) alongside site fetches (29%) reflects a site that publishes conceptual/strategic content (what it does, who it's for) but requires external sources or human inference to assemble pricing, feature parity tables, and detailed use-case positioning.