The agent successfully synthesized a comprehensive explanation of Kong by combining on-site exploration with web search, because Kong's own website provided positioning and product overviews but minimal pricing specifics and competitive comparisons. The site is moderately navigable—core product pages exist and are accessible, but key business information (pricing tiers, feature matrices, differentiation) requires either third-party sources or inference from sparse on-page content.

• ›Homepage [1] and product pages [9, 10, 11] clearly communicated Kong's product suite and positioning ('AI connectivity company'), providing the foundation for 'what they do' and 'who it's for'.
• ›Pricing page [2] was sparse on concrete numbers—no tiered breakdown, no per-request or per-instance costs were listed on konghq.com. The agent had to resort to web search [13] and third-party sources (TrueFoundry, Zuplo) to answer the pricing question; Kong's own site marked this intent incomplete.
• ›The comparison angle ('how different from alternatives') was almost entirely sourced from external articles [14, 15], not Kong's site. Kong did publish a comparison page vs. AWS [15], but the comprehensive competitive matrix in the final answer came from third-party TCO and comparison articles, not from Kong's own documentation.
• ›Product discovery was aided by visiting /products [3, 8], /konnect [7], and drilling into individual product pages, but the /products directory itself was marked `noindex`, suggesting Kong does not prioritize organic discoverability of its full product catalog.
• ›The agent correctly identified confusion points: pricing opacity (no structured pricing on konghq.com), vague messaging around 'AI connectivity' vs. API-first positioning, and limited self-serve feature comparisons on the site itself.