The agent successfully gathered enough information to explain Spektr's core offering, target market, and differentiation, but had to work around significant gaps in the site's public documentation. The homepage and blog posts provided the main positioning and feature details, while the site's lack of a pricing page and incomplete product documentation forced the agent to rely heavily on external sources (news articles, third-party funding announcements) to fill critical gaps about pricing model and competitive positioning.

• ›Step [1] (homepage) and step [14] (Spektr 2.0 blog) were the primary on-site sources for understanding what Spektr does and its key differentiators (modular architecture, AI agents, no-code workflows). These pages returned actual product positioning and feature language.
• ›Pricing information was entirely absent from the site itself — the agent correctly identified that /pricing returned 404 and had to supplement from external news sources (steps [20–21], [24]) which revealed only the funding round, not actual pricing tiers or models. This forced the agent to report 'custom enterprise pricing' as an inference rather than a documented fact.
• ›Steps [11], [12], and [26] (KYB AI agent page, Strise comparison, and comparisons index) provided competitive differentiation content, but the comparison pages were fragmented or incomplete in what they returned, requiring the agent to synthesize from multiple sources.
• ›Steps [4] (About page) and [18] (KYC Onboarding process page) returned process and customer-facing information, but lacked structured data or clear technical implementation details that would have made the offering more agent-transparent.
• ›The site relies on Webflow and does not publish a pricing page, product overview page, or structured API documentation, forcing the agent to retrieve 64% of its source material from web search rather than direct site navigation — a sign the site was not optimized for discovery or understanding by agents.