The agent partially understood TapGo's core business (NFC-based review collection for small businesses) by extracting taglines and metadata from the homepage, but had to work around a minimal website with no pricing page, no English version, and limited product details. The agent filled gaps using prior knowledge and inferred business models from competitor research, but could not verify pricing, technical specs, or detailed feature claims directly from the site.

• ›Step [1] (homepage fetch) was the only content-bearing source; it returned Spanish-language taglines ('Más reseñas. Menos fricción' and 'Convierte un toque en una reseña') that the agent used to infer the core product (NFC tap-to-review plaques). No other official pages were accessible.
• ›Steps [3] and [4] (pricing and /en routes) returned 404s, forcing the agent to explicitly call out missing pricing and language accessibility as gaps rather than omissions it could work around.
• ›The agent's final answer relied heavily on prior knowledge of NFC review-collection competitors (TAPro, Taps Reviews) and generic SaaS business model inference, not on information published by tapgo.company itself. The site exposed only positioning slogans, not product depth.
• ›The site's Spanish-only interface and minimal landing-page structure created a discovery/identity friction layer—no structured data, no docs, no demo/contact CTAs, no comparison table, and no pricing transparency. The agent had to choose between incomplete transparency or speculation.