The agent successfully assembled a comprehensive explanation of Glimps by retrieving machine-readable content directly from the site's published markdown and JSON files. The site was highly navigable for agent-driven discovery: it published llms.txt, structured markdown pages, and a JSON agent-data file that contained all necessary information about positioning, pricing, features, and competitive differentiation. The agent did not need to guess or rely on prior knowledge beyond initial URL construction—the site explicitly surfaced answers through agent-friendly endpoints.

• ›Steps 6–13 all returned content-bearing responses: llms.txt provided a concise executive summary; /en/index.md and /nl/index.md gave core capabilities and audience; /en/pricing/index.md delivered complete pricing plans with EUR amounts, invoice limits, and add-on costs; agent-data.json structured all metadata; and comparison pages (/nl/vergelijk/) directly answered 'how it's different from alternatives' with named competitors (Klippa, TriFact365).
• ›The site published dedicated machine-readable artifacts (/llms.txt, /llms-full.txt, /agent-data.json, markdown at /en/ and /nl/ routes) rather than burying answers in rendered HTML. This made discovery deterministic: the agent did not need to parse DOM or reverse-engineer content from visual layout.
• ›Localization required one retry: /pricing returned 404 at the root, but /en/pricing and /nl/pricing both returned 200. The site's language-prefixed URL structure (default /nl/, English at /en/) is agent-friendly once discovered, but initial routing ambiguity caused a minor friction point.
• ›The agent had to manually construct some URLs (e.g., /agent-data.json, /llms-full.txt) via prior knowledge rather than following site-published links, suggesting these agent resources are documented elsewhere (robots.txt, link headers, or /llms.txt itself) but not all explicitly linked in the HTML.
• ›The final response cited no explicit 'Sources' section but grounded all claims in the content retrieved: what Glimps does (steps 7, 12, 13), who it's for (steps 7, 12), pricing (step 8), and differentiators (steps 10, 11) all came directly from fetched markdown/JSON, not inference.