The agent satisfied the task of understanding GoodDoc's core business, target users, pricing model, and differentiation from competitors—but had to assemble the answer almost entirely from web search and app store pages because the main website (goodoc.co.kr) returned only a JavaScript-heavy homepage and 404s for all common information pages (/about, /pricing, /contact, /faq, /business). The site is poorly navigable for discovery; the agent relied on prior knowledge and external sources (Google Play, Apple App Store, hospital.goodoc.co.kr subdomain, and Korean news articles) to construct a coherent explanation.

• ›The homepage at goodoc.co.kr (step [1]) loaded but was JavaScript-heavy with minimal visible content—no pricing, features, or positioning text was extractable. Direct navigation to expected info pages (/about, /pricing, /introduce, /contact, /faq, /business) all returned 404s (steps [3–8]).
• ›The agent discovered GoodDoc Partners (hospital.goodoc.co.kr, step [13]) via web search, not site navigation. This subdomain successfully returned metadata describing it as a hospital management platform, but the main site offered no link to or disclosure of this B2B offering.
• ›App store pages (Google Play [step 14], Apple App Store [step 15]) and Korean startup databases (Tracxn, Dealroom from step [17]) provided the substantive content: 70,000 facilities, 600,000 reviews, 10 million downloads, telemedicine capabilities, and founding year. These were cited in the final response.
• ›Pricing remained opaque: no public fee structure, commission rates, or consultation costs were found. The agent acknowledged this gap explicitly in the 'confusing or unclear' section, noting that specifics require entering the app or contacting providers directly.
• ›Competitor differentiation and user reviews came from Korean tech news articles and app-store reviews (steps [25, 28]), not from the main website. The site itself provided no comparison or positioning against Ttokdak, Naver, or others.
• ›The website is optimized for user acquisition and app downloads, not for agent-readable information discovery. It lacks semantic structure, FAQ, pricing tables, or public API documentation that would make it machine-navigable.