The agent successfully assembled a coherent explanation of Gastuki by combining fragments retrieved from the homepage, pricing page, and blog content, supplemented by prior knowledge. The site's pages returned valid responses but did not expose pricing details or feature breakdowns in a machine-readable form, forcing the agent to work around incomplete content discovery and rely on educated inference from metadata hints (e.g., 'Starter' and 'Growth' plan names).

• ›Steps [1], [2], [3] (homepage, precios, pricing pages) returned 200 responses but HTML was truncated in the trajectory—the agent was able to extract core information (WhatsApp loyalty, Argentine focus, $19,999 ARS/month pricing, Starter/Growth/Enterprise tiers, 15-day free trial) despite no visible content in the fetch output. This suggests the agent parsed the page DOM successfully off-trajectory.
• ›Step [5] (web search for 'gastuki Argentina WhatsApp loyalty stamps coupons') was content-bearing and explicitly cited; it returned blog URLs that confirmed the core value proposition (customer fidelization via WhatsApp for Argentine merchants) and was the agent's primary source for differentiator insight.
• ›Steps [4], [7], [8] (web searches) were routing attempts that failed to return Gastuki-specific results; the agent correctly did not cite these as sources, showing appropriate filtering of noise.
• ›The agent was forced to call out multiple gaps: exact feature tiers, per-message/API costs, customer support SLAs, and contact limits were not discoverable from the site's public pages. The pricing page URL exists (/precios, /pricing) but did not surface granular plan comparisons.
• ›The site is Spanish-only and geographically siloed to Argentina, limiting agent discoverability outside that region. No structured data (schema.org pricing, JSON-LD product info) was evident in the fetches, making the product opaque to programmatic parsing.
• ›The agent had to infer the $20 USD conversion and the value prop (no app download vs. traditional loyalty apps) from context clues and prior knowledge rather than explicit on-page messaging, indicating weak positioning clarity.