The agent successfully assembled a comprehensive overview of StarChase's business model, target audience, services, and positioning by combining the homepage, service pages, and two machine-readable knowledge base files (llms.txt and llms-full.txt). The site was reasonably navigable for discovery and identity purposes, but pricing transparency was a major gap — most service costs were not publicly listed, forcing reliance on scattered ad spend examples and the agent's candid admission that detailed pricing requires consultation.

• ›Steps [1–2] and [4–7] returned HTML pages with service descriptions and positioning; the agent extracted what they do ('full-chain traffic ecosystem consulting'), who they serve (creators, SMEs), and core service bundles, but each service page only outlined offerings, not prices.
• ›Step [8] (llms.txt) and [9] (llms-full.txt) were the highest-leverage fetches — these were machine-readable knowledge bases published by StarChase themselves for AI systems, containing company history, claimed metrics (200+ brands, 1000W+ views, 100W+ revenue growth), service summaries, methodology notes, and disclaimers about result variability. The agent heavily relied on these to fill gaps in the HTML pages.
• ›Pricing was explicitly called out as 'confusing' by the agent because [3] returned a 404 for /pricing. The agent found only partial pricing data: 20k–100k TWD/month ad budgets with 10% service fees (from llms-full.txt), and hints about video production packages, but the majority of services require direct contact to quote — the agent correctly flagged this as a major transparency gap.
• ›The site's agent-readiness was mixed: it published comprehensive positioning and methodology (good for identity/discovery), but lacked public pricing, team roster details, competitor comparisons, and English-language content — all of which would strengthen credibility and make the offer easier to evaluate for international buyers.
• ›Step [10] (FAQ page) was fetched but not heavily quoted in the final response; it likely contained clarifications on process and remote work but did not change the core findings about what, who, or how they're different.