The agent successfully gathered comprehensive information about INFINIT by fetching the homepage, about page, and llms.txt files from both Spanish and English sites. The site proved moderately navigable for discovery and identity tasks—structured metadata and dedicated llms.txt files provided clear positioning, manufacturing details, and product categories—but lacked transparent pricing and store location specifics on primary pages, forcing the agent to acknowledge gaps rather than deliver a fully complete answer.

• ›Steps [1] and [4] provided basic positioning via page titles and meta descriptions, but actual product/pricing details were sparse in the HTML itself. The agent had to rely on step [6] and [9] (llms.txt) to assemble the core business narrative (what they sell, manufacturing story, key differentiators like ultralight polyamide, 100K+ pairs/year, design awards).
• ›The llms.txt files (steps [6] and [9]) were the richest content-bearing resources—explicitly formatted summaries that listed product categories, materials, manufacturing claims, and warranty/shipping info. This is a strong signal the site anticipated machine-readable queries, yet the files contained placeholder text ('+ models' instead of actual counts), indicating incomplete or auto-generated content.
• ›Pricing information was explicitly absent from all fetched pages. The agent correctly noted that individual product prices require visiting product pages—a major usability gap for evaluation-phase agents. Payment terms (9 installments, 15% bank transfer discount, 30% off prescription lenses) appeared only in llms.txt, not on the homepage or about pages.
• ›Store locations were mentioned in llms.txt but without hours or full addresses; the agent had to flag this as missing rather than provide actionable information. Retail footprint is mentioned in passing but not systematized on the public site.
• ›Web search (steps [3], [7], [10], [11]) served primarily as routing—confirming the site's existence and finding the English mirror—rather than surfacing competitive positioning. The agent supplied competitor context (Ray-Ban vs. Warby Parker) from prior knowledge, not from what the site published.