The agent gathered a reasonably complete overview of KAN's business positioning, services, and target clients, but had to rely heavily on search results and prior knowledge to overcome a JavaScript-heavy website that did not render full content in server-side HTML. The site's Nuxt architecture made direct content extraction difficult; most substantive answers came from web search snippets and LinkedIn rather than from the agency's own site pages.

• ›Steps [5] and [10] (web search) returned the most actionable content — search result titles and URLs provided clear signals about service offerings (web development, branding, digital strategy) that the agent used to construct its answer. The actual page fetches ([7], [8], [12]) returned HTML with truncated or minimal visible text due to client-side rendering, making them routing steps rather than content sources.
• ›The agent discovered KAN's client list, team size (~110 specialists), annual revenue (~SEK 120M), and founding year (2005) primarily through web search results and inferred LinkedIn data, not from the website's own pages. The site structure itself was navigable (URLs were guessable and returned 200 status), but the rendered content was unavailable without a browser.
• ›Pricing was genuinely absent from the site — the agent correctly flagged this as a significant gap. The site surfaced enough information to describe 'what they do' and 'who it's for,' but did not publish engagement models, pricing tiers, or case studies in a machine-readable form. The agent's differentiation analysis was assembled from positioning language and prior agency industry knowledge rather than from specific competitive claims on the site.