The agent successfully assembled a comprehensive explanation of ElevenLabs' business, pricing, and competitive positioning, but relied heavily on external sources rather than the site itself. The marketing website proved difficult to extract information from due to heavy client-side rendering, forcing the agent to depend on web search results and third-party pricing/comparison guides to answer the task. The site's technical documentation and product pages exist but were not content-bearing in the trajectory.

• ›The agent's final answer drew almost entirely from web search results [5, 8, 9, 11, 13] rather than direct site content. Fetches of the homepage, pricing page, and about page [1, 2, 3] returned HTML stubs with no readable content due to JavaScript-heavy rendering.
• ›Web searches for pricing plans [8] and competitive comparisons [9] surfaced third-party analyses (PhotonPay, MagicHour, DeepGram, Creatif Tools) that contained the concrete pricing tiers and feature comparisons. The agent cited these external sources rather than ElevenLabs' own pricing page.
• ›Product discovery was possible via search results pointing to specific feature pages (/text-to-speech, /dubbing-api, /ai-voice-generator), but the agent could not extract content from those pages when fetched. The /features endpoint returned a 404, and the docs site structure was not deeply explored.
• ›The agent accurately identified site navigation friction in its final response: 'Website rendering: Their marketing site is heavily JavaScript-based, making it hard to read core content directly. The technical docs work better.' This directly caused reliance on web search as a workaround.
• ›The agent's answer was complete and well-structured (what, who, pricing, differentiation, caveats), but represents assembly from external authority sources rather than extraction from the primary source. The task was to 'read the site and tell me' — the agent read around the site instead.