The agent assembled a coherent explanation of Vivez Local's purpose, audience, and pricing by relying almost entirely on web search results rather than the primary website itself. The site proved difficult to navigate due to heavy client-side rendering (Next.js), forcing the agent to work around inaccessible page content and piece together information from external sources like LinkedIn and France Bleu rather than the core domain.

• ›Steps [5] and [10] (web searches) were the only content-bearing sources; they returned snippets from France Bleu and LinkedIn that established Vivez Local as a local discount platform for employees and CSEs. Direct fetches of the homepage and pricing pages ([1], [3], [7], [11]) returned only HTML scaffolding with no readable content, confirming the site's reliance on client-side rendering made it inaccessible to the agent.
• ›The agent had to infer most details (pricing of €5/month, merchant count of 280+, regional focus, CSE positioning) from search result snippets and prior knowledge rather than from the primary website. Critical information gaps—business model clarity, geographic coverage, merchant onboarding—remained unfilled because the site's interactive content was not crawlable.
• ›The site is poorly agent-ready: it publishes no structured metadata, does not render static content server-side, and provides no machine-readable pricing, feature comparison, or positioning information. The agent correctly flagged this technical barrier and worked around it via search, but a well-designed site would have published this information in fetched HTML or JSON (e.g., schema.org markup, /api endpoints, or a public pricing page with static content).