The agent successfully gathered enough information to explain cwai.co's business model, target audience, and positioning, though it had to work around a deliberately minimal website with missing key pages. The homepage and contact/careers pages provided metadata and fragments, but pricing, detailed services, and case studies were either absent (404s) or deliberately withheld, forcing the agent to rely on inferred positioning rather than documented facts.

• ›Step [1] and [3] returned meta descriptions and page titles that were the primary source of positioning ('fiduciary-first and provider-independent', 'move from AI-curious to AI-native'); the homepage itself appears to be largely visual/JavaScript-rendered, so the agent relied on HTML metadata rather than full page content.
• ›Steps [8] and [15] (contact and careers pages) confirmed audience (CEOs/leadership teams), engagement model (referral-based, two-business-day response), and team composition (MIT, McKinsey, White House alumni), but no dedicated services, pricing, or case study pages exist—steps [6], [7], and [10] all returned 404s.
• ›The agent had to synthesize positioning claims ('vendor-neutral', 'fiduciary-first', 'custom-built systems') from meta tags and inferred meaning rather than from dedicated explainer pages; the site's minimal public surface forced reliance on prior knowledge (29% sourced) and web searches that mostly looped back to the same homepage.
• ›The site is deliberately opaque on pricing and detailed methodology—no public-facing pricing page, no detailed service tiers, no case studies—which aligns with their 'referral-only' positioning but makes it difficult for an agent to extract complete information without human outreach.