Agent successfully gathered comprehensive overview of RiffAds' core offering, pricing, positioning, and target users from the homepage alone. The site's navigation structure was sparse (404s on /features, /pricing, /how-it-works), forcing the agent to extract all substantive information from the single accessible homepage fetch.

• ›Homepage contained the entire core answer: business model (UGC ad generation), pricing tiers with credit amounts, agent-first positioning, multilingual support, and use cases. No secondary pages were reachable or necessary.
• ›Site navigation was broken or non-existent (/features, /pricing, /how-it-works all returned 404), yet the agent successfully completed the task by re-fetching the homepage multiple times, indicating the homepage was content-rich enough to answer the exploratory query fully.
• ›Agent identified genuine knowledge gaps (per-video credit costs, actor gallery visibility, trial scope details, competitor positioning) as site absences, not retrieval failures — these were genuinely absent from the homepage, not unindexed.
• ›All three successful fetches returned the same URL (riffads.com/) but with different response content framed around different aspects (overview → differentiators → actors/verticals), suggesting the homepage is dynamically rendered or the agent's LLM-summarized the same page differently across turns.
• ›Agent correctly attributed agent-native architecture and unified credit system as differentiators rather than generic features, grounding these claims in actual homepage language ('agent picks actors, prices the job, makes the ad').