The agent successfully assembled a comprehensive overview of World Radio League by combining content from the site's marketing pages, documentation, and web search results. The site's information was fragmented across multiple pages (homepage, About Us, feature highlight articles, docs) and pricing details were notably absent from public pages, requiring the agent to work around gaps in published information. The agent delivered a satisfactory answer covering what WRL does, who it's for, its pricing model (though with caveats about missing specifics), and differentiation from competitors, though some concrete details like exact subscription costs remained inaccessible.

• ›Content-bearing pages included: worldradioleague.com/ (meta description and positioning), /about-us (founder and mission context), /introducing-world-radio-league (feature overview), /world-radio-league-contesting-guide (live contest features), /new-pota-logging-features (specialized use case), /mobile-apps (platform availability). Each contributed a distinct piece of the puzzle.
• ›Pricing information was deliberately or accidentally obscured: the agent could confirm 'free tier + optional premium subscription' and 'annual billing' but could not retrieve actual dollar amounts from public URLs. The agent acknowledged this explicitly in the final response and noted that app.worldradioleague.com/membership exists but is a React app (not crawlable) and requires login to view pricing.
• ›The site's discoverability for differentiation was weak: web searches for 'World Radio League vs QRZ vs HAMRS' and Reddit discussions returned no results, forcing the agent to infer competition from general context (Logbook of the World, QRZ, desktop tools) rather than explicit site positioning. This is a discovery-layer navigation gap.
• ›The main website (worldradioleague.com) is WordPress-based and relatively well-structured with navigable content pages, but the app (app.worldradioleague.com) is a JavaScript-heavy React application that does not serve readable HTML—the agent explicitly noted this limitation and it prevented deeper feature introspection.
• ›The agent relied on 57% web search and 29% prior artifact context to fill gaps left by direct site navigation, indicating the site's public pages alone were insufficient for a complete answer. The site does not publish a comprehensive 'what we are, who we're for, pricing, and how we differ' page in one location.