The agent successfully assembled a comprehensive explanation of Rezerv by fetching the actual product site (rezerv.co, not the for-sale domain rezerv.com) and extracting positioning, pricing, and competitive positioning. The site surfaced core information through direct pages and a comparative blog post, but key details like exact Team plan pricing and transaction fees remained unavailable, requiring the agent to note gaps honestly rather than fabricate answers.

• ›Step [4] (homepage) provided the foundational positioning: 'Software for Gym, Wellness, Facility Businesses' with meta description covering the target personas (fitness studios, spas, beauty clinics). This was the single most content-bearing fetch that established 'what Rezerv does'.
• ›Step [5] (pricing page) returned only meta description stating '3 tiers of pricing: Starter, Team, and Business' but did not expose actual pricing amounts or feature breakdowns in the HTML snippets provided. The agent had to supplement with prior knowledge (SGD pricing) and web search results to provide concrete figures.
• ›Step [6] (about page) reinforced the value proposition ('comprehensive solution for service-based businesses') but added little incremental detail beyond the homepage.
• ›Step [9] (blog comparing Rezerv vs. Mindbody alternatives) was the only source that provided competitive positioning details. The agent correctly used this to construct the 'How it's different' section.
• ›The agent discovered that rezerv.com itself is a domain-for-sale listing (step [1]) and correctly pivoted to the operating domain rezerv.co via web search—evidence the site is not discoverable through the .com domain but search engines route correctly.
• ›Pricing details (SGD amounts, per-location structure, discount tiers) came from web search results and prior knowledge, not from the pricing page fetch itself—indicating the pricing page HTML either didn't contain rendered content in the fetch response or was truncated. This is a significant gap in site agent-readiness.
• ›The agent transparently flagged 7 specific items it 'couldn't clearly find' (Team plan pricing, transaction fees, contract terms, feature matrices, reviews, integrations, support tiers), demonstrating good epistemic hygiene rather than hallucinating missing data.