The agent successfully assembled a comprehensive explanation of Business Region Göteborg by combining fragments from the compressed homepage, an About Us page, and the related investingothenburg.com domain. The website itself was difficult to navigate—pages loaded with heavy compression that obscured full content—so the agent had to rely on web search and cross-domain discovery to build a complete picture of services, pricing, and positioning.

• ›Steps [1], [4], [5] fetched from businessregiongoteborg.se but returned HTML with compression artifacts ('truncated, 4400 more chars'), making it impossible to extract full service details, pricing, or differentiation directly from the site. The agent had to infer structure from meta descriptions and navigation hints.
• ›Steps [8] and [9] fetched investingothenburg.com (a related domain), which appears to be BRG's investment promotion portal rather than the main businessregiongoteborg.se. This relationship was not made explicit on the homepage, forcing the agent to discover it via web search.
• ›Step [13] (tech startup ecosystem page) was the only richly detailed resource fetched, but it required the agent to navigate away from the primary domain to get substantive content.
• ›The agent's final answer is well-structured and factually sound, but it relies heavily on web search results (steps [7], [10], [11], [12]) for context rather than on content actually scraped from businessregiongoteborg.se itself. The site failed to present key information (what they do, who it's for, that services are free) in a machine-readable or easily accessible form.
• ›The agent correctly identified major friction points: unclear website structure, no dedicated pricing page, missing contact/consultation flow, and lack of explicit differentiation. These were not failures of the agent but genuine gaps in the site's public information architecture.