The agent successfully assembled a comprehensive understanding of Cargo by combining prior knowledge with web search results, since the main website (getcargo.io) returned only HTML shells without readable content. The agent found clear answers to what Cargo does (GTM infrastructure for AI agents), who it's for (revenue teams), basic pricing tiers, and key differentiators from Clay, but had to work around an inaccessible pricing page and fragmented navigation to piece together the full picture.

• ›The main site (getcargo.io/) and its subpages (/pricing, /integrations, /compare/clay) all returned valid 200 responses but were JavaScript-heavy Next.js apps with no readable text content in the initial HTML—the agent could not extract information from them directly.
• ›All substantive answers came from web search results ([8], [11], [13], [14], [19]) and the docs site (docs.getcargo.ai/ at step [10]). The agent never successfully extracted content from the primary domain, relying instead on aggregator sites (SyncGTM, PricingSaaS), the comparison page via search, and external references.
• ›The agent had to clarify a domain inconsistency: the canonical URLs reference getcargo.ai while the domain under test is getcargo.io, both of which work but suggest potential infrastructure confusion.
• ›The pricing page exists but is not machine-readable in raw HTML form; the agent cited pricing tiers from search aggregators, not from the source site's fetch. Feature availability by tier remains unclear due to the JavaScript-rendered UI.
• ›Key differentiators (vs. Clay, scale, autonomy, CRM-native design) were found only in search results linking to comparison pages and external reviews, not from the primary site navigation.
• ›The docs site was accessible but not discoverable from main site navigation, forcing the agent to find it via search results.