The agent successfully understood Librario by fetching and assembling information from the site's homepage, pricing page, and use-case pages. The site published its core positioning, pricing, and differentiation in machine-readable markdown format (.md files), making it highly agent-navigable. The agent had to infer some competitor context and fill in gaps about loan features and implementation timelines using prior knowledge, but delivered a complete, well-sourced explanation of what Librario does, who it's for, how it's priced, and how it differs.

• ›Steps [3], [6], and [13] returned markdown versions of pages (.md files), which contained the bulk of the structured content — pricing tiers with specific EUR amounts, feature matrices, and trust/security positioning. The site explicitly publishes these machine-readable artifacts, dramatically improving agent discoverability.
• ›The agent discovered Librario's target market (engineering firms, corporate libraries, research teams) from the homepage and dedicated use-case page ([10]), but had to infer competitive differentiation (vs. Koha, Soutron, Excel) partly from prior knowledge and a web search ([15]) rather than explicit competitor comparison on the site.
• ›Pricing was completely transparent and cited directly from [6]: three tiered plans (€14, €39, €99/month) with user/publication/file limits, plus free trial details. This information required no assembly or interpretation.
• ›The site's German-language full-text search, automated cataloging, and EU/GDPR focus were clearly stated in [3] and [13], but the agent had to acknowledge vagueness around loan/borrowing features, API capabilities, and implementation timelines—these were mentioned but not deeply explained in the fetched content.
• ›The agent cited all fetched pages in its Sources section ([1], [3], [6], [10], [13]) plus external context from a library software guide, demonstrating that the site's own content was sufficient to answer the core task.