The agent assembled a partial picture of AMdigital's services, pricing, and positioning by fetching nine pages from the site and synthesizing content; however, the site's heavy JavaScript rendering and broken portfolio links prevented access to concrete case studies and full details of their 'DÉCLIC system.' The agent successfully identified three core service areas (websites, automation, AI agents) and pricing ranges, but had to work around inaccessible content and rely on pattern-matching from the HTML structure rather than clear, semantic exposition.

• ›The homepage [1] and service pages [7, 8, 11, 12, 13, 16] returned 200 responses but their content was heavily embedded in Next.js JavaScript bundles (truncated responses showed no readable text). The agent extracted information via prior knowledge and web search supplements rather than direct parsing of the pages themselves.
• ›Pricing data (CHF 690, CHF 1'500, CHF 1'990) was inferred from metadata and search queries [20], not from a dedicated pricing page—the /pricing route returned 404 [4]. Portfolio case studies [21] were discovered via search but the actual portfolio pages returned 404 [22], blocking access to concrete project examples and results.
• ›The 'DÉCLIC system' concept appears throughout metadata and search results but the agent could not retrieve the details or 'six steps' mentioned in the metadata. The /systeme page [7] returned 200 but the response was truncated/unreadable. This represents a significant gap between what the site claims to offer and what was actually accessible.
• ›The agent relied heavily on web search [10, 15, 19, 20, 21, 25, 26, 27] (43% of fetch sources) to supplement inaccessible pages, suggesting the site does not publish its core positioning and service details in a machine-readable or easily parsed form. Direct URL guesses for /services, /pricing, /about all failed [3, 4, 5].
• ›The agent cited its final response sources as specific pages [1, systeme, contact, projets, journal], but most of those pages did not return usable text; the actual answer was assembled from prior knowledge, search snippet metadata, and inference rather than from the pages' actual content.