The agent partially fulfilled the task by assembling a coherent overview of AdPlanck from homepage and service pages, but worked around significant information gaps. It successfully identified what AdPlanck does (ad management + measurement for service businesses), who it targets, and key differentiators (account ownership, booked-job tracking, data warehouse approach), but could not retrieve actual pricing figures despite finding the pricing page. The site's HTML loads but the agent relied heavily on page titles, meta descriptions, and prior knowledge to construct its answer—full page content was truncated in fetches, forcing the agent to infer rather than directly read service details and pricing.

• ›Steps [1], [3], [4], [5] returned truncated HTML with readable meta descriptions and titles but cut-off body content ('…[truncated, 4400 more chars]'). The agent built its answer primarily from meta description text (e.g., 'Ad-tech measured to the booked job', 'proves what they return') rather than full page content.
• ›The pricing page ([4]) exists and its meta description says 'Flat fees, published' and 'Month-to-month', but no actual dollar amounts appear in the fetched snippet. Agent explicitly noted this gap: 'I couldn't find specific pricing numbers' and 'No actual dollar amounts are displayed on the site.'
• ›The site does not publish pricing or detailed service information in a machine-readable format; the agent had to rely on inferences from page titles, schema data ('$$$' price range indicator), and meta descriptions. Attempts to find markdown versions ([7], [8]) failed, and web searches ([10], [11]) returned unrelated competitors' pages, not AdPlanck's own content.
• ›Agent correctly inferred differentiation points (accounts in your name, booked-job tracking, ClickHouse data warehouse, Claude-as-a-Service) from scattered mentions across pages, but noted confusion about what 'accounts in your name' means legally and absence of case studies or team details.
• ›The site is moderately navigable (pages exist and load) but poorly agent-readable: truncated responses, no public pricing, and reliance on meta tags rather than structured, accessible body content.